Sample records for brain integrates information

  1. Postnatal experiences influence how the brain integrates information from different senses

    Benjamin A Rowland


    Full Text Available Sensory Processing Disorder (SPD is characterized by anomalous reactions to, and integration of, sensory cues. Although the underlying etiology of SPD is unknown, one brain region likely to reflect these sensory and behavioral anomalies is the Superior Colliculus (SC; a structure involved in the synthesis of information from multiple sensory modalities and the control of overt orientation responses. In this review we describe normal functional properties of this structure, the manner in which its individual neurons integrate cues from different senses, and the overt SC-mediated behaviors that are believed to manifest this “multisensory integration.” Of particular interest here is how SC neurons develop their capacity to engage in multisensory integration during early postnatal life as a consequence of early sensory experience, and that it is the intimate communication between cortex and the midbrain makes this developmental process possible.

  2. Integrated modeling of PET and DTI information based on conformal brain mapping

    Zou, Guangyu; Xi, Yongjian; Heckenburg, Greg; Duan, Ye; Hua, Jing; Gu, Xiangfeng


    Recent advances in imaging technologies, such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and Diffusion Tensor Imaging (DTI) have accelerated brain research in many aspects. In order to better understand the synergy of the many processes involved in normal brain function, integrated modeling and analysis of MRI, PET, and DTI is highly desirable. Unfortunately, the current state-of-art computational tools fall short in offering a comprehensive computational framework that is accurate and mathematically rigorous. In this paper we present a framework which is based on conformal parameterization of a brain from high-resolution structural MRI data to a canonical spherical domain. This model allows natural integration of information from co-registered PET as well as DTI data and lays the foundation for a quantitative analysis of the relationship between diverse data sets. Consequently, the system can be designed to provide a software environment able to facilitate statistical detection of abnormal functional brain patterns in patients with a large number of neurological disorders.

  3. Adaptive integration of local region information to detect fine-scale brain activity patterns


    With the rapid development of functional magnetic resonance imaging (fMRI) technology, the spatial resolution of fMRI data is continuously growing. This pro- vides us the possibility to detect the fine-scale patterns of brain activities. The es- tablished univariate and multivariate methods to analyze fMRI data mostly focus on detecting the activation blobs without considering the distributed fine-scale pat- terns within the blobs. To improve the sensitivity of the activation detection, in this paper, multivariate statistical method and univariate statistical method are com- bined to discover the fine-grained activity patterns. For one voxel in the brain, a local homogenous region is constructed. Then, time courses from the local ho- mogenous region are integrated with multivariate statistical method. Univariate statistical method is finally used to construct the interests of statistic for that voxel. The approach has explicitly taken into account the structures of both activity pat- terns and existing noise of local brain regions. Therefore, it could highlight the fine-scale activity patterns of the local regions. Experiments with simulated and real fMRI data demonstrate that the proposed method dramatically increases the sensitivity of detection of fine-scale brain activity patterns which contain the subtle information about experimental conditions.

  4. Information Integrity

    Graves, Eric


    This dissertation introduces the concept of Information Integrity, which is the detection and possible correction of information manipulation by any intermediary node in a communication system. As networks continue to grow in complexity, information theoretic security has failed to keep pace. As a result many parties whom want to communicate,…

  5. On-line integration of semantic information from speech and gesture: insights from event-related brain potentials.

    Ozyürek, Asli; Willems, Roel M; Kita, Sotaro; Hagoort, Peter


    During language comprehension, listeners use the global semantic representation from previous sentence or discourse context to immediately integrate the meaning of each upcoming word into the unfolding message-level representation. Here we investigate whether communicative gestures that often spontaneously co-occur with speech are processed in a similar fashion and integrated to previous sentence context in the same way as lexical meaning. Event-related potentials were measured while subjects listened to spoken sentences with a critical verb (e.g., knock), which was accompanied by an iconic co-speech gesture (i.e., KNOCK). Verbal and/or gestural semantic content matched or mismatched the content of the preceding part of the sentence. Despite the difference in the modality and in the specificity of meaning conveyed by spoken words and gestures, the latency, amplitude, and topographical distribution of both word and gesture mismatches are found to be similar, indicating that the brain integrates both types of information simultaneously. This provides evidence for the claim that neural processing in language comprehension involves the simultaneous incorporation of information coming from a broader domain of cognition than only verbal semantics. The neural evidence for similar integration of information from speech and gesture emphasizes the tight interconnection between speech and co-speech gestures. PMID:17381252

  6. Brain Radiation Information Data Exchange (BRIDE): integration of experimental data from low-dose ionising radiation research for pathway discovery

    Karapiperis, Christos; Kempf, Stefan J.; Quintens, Roel; Azimzadeh, Omid; Vidal, Victoria Linares; Pazzaglia, Simonetta; Bazyka, Dimitry; Mastroberardino, Pier G.; Scouras, Zacharias G.; Tapio, Soile; BENOTMANE, MOHAMMED ABDERRAFI; Ouzounis, Christos A


    Background The underlying molecular processes representing stress responses to low-dose ionising radiation (LDIR) in mammals are just beginning to be understood. In particular, LDIR effects on the brain and their possible association with neurodegenerative disease are currently being explored using omics technologies. Results We describe a light-weight approach for the storage, analysis and distribution of relevant LDIR omics datasets. The data integration platform, called BRIDE, contains inf...

  7. Seamless Integration of Information

    Van Lingen, Frank


    This document gives an overview of issues related to integration of information. Different aspects are discussed. Furthermore, several projects related to integration of information are described. Also several standards that relate to information integration are discussed. Finally, these issues are related to information integration within a high-energy physics environment. Keywords : heterogeneous databases, multidatabases, temporal databases, meta-model, meta-data, ontologies, mediator, data management.

  8. What constitutes information integrity?

    S. Flowerday; R. von Solms


    This research focused on what constitutes information integrity as this is a problem facing companies today. Moreover, information integrity is a pillar of information security and is required in order to have a sound security management programme. However, it is acknowledged that 100% information integrity is not currently achievable due to various limitations and therefore the auditing concept of reasonable assurance is adopted. This is in line with the concept that 100% information securit...

  9. What constitutes information integrity?

    S. Flowerday; R. von Solms


    This research focused on what constitutes information integrity as this is a problem facing companies today. Moreover, information integrity is a pillar of information security and is required in order to have a sound security management programme. However, it is acknowledged that 100% information integrity is not currently achievable due to various limitations and therefore the auditing concept of reasonable assurance is adopted. This is in line with the concept that 100% information securit...

  10. What constitutes information integrity?

    S. Flowerday


    Full Text Available This research focused on what constitutes information integrity as this is a problem facing companies today. Moreover, information integrity is a pillar of information security and is required in order to have a sound security management programme. However, it is acknowledged that 100% information integrity is not currently achievable due to various limitations and therefore the auditing concept of reasonable assurance is adopted. This is in line with the concept that 100% information security is not achievable and the notion that adequate security is the goal, using appropriate countermeasures. The main contribution of this article is to illustrate the importance of and provide a macro view of what constitutes information integrity. The findings are in harmony with Samuel Johnson's words (1751: 'Integrity without knowledge is weak and useless, and knowledge without integrity is dangerous and dreadful.'

  11. Measuring Integrated Information from the Decoding Perspective.

    Oizumi, Masafumi; Amari, Shun-ichi; Yanagawa, Toru; Fujii, Naotaka; Tsuchiya, Naotsugu


    Accumulating evidence indicates that the capacity to integrate information in the brain is a prerequisite for consciousness. Integrated Information Theory (IIT) of consciousness provides a mathematical approach to quantifying the information integrated in a system, called integrated information, Φ. Integrated information is defined theoretically as the amount of information a system generates as a whole, above and beyond the amount of information its parts independently generate. IIT predicts that the amount of integrated information in the brain should reflect levels of consciousness. Empirical evaluation of this theory requires computing integrated information from neural data acquired from experiments, although difficulties with using the original measure Φ precludes such computations. Although some practical measures have been previously proposed, we found that these measures fail to satisfy the theoretical requirements as a measure of integrated information. Measures of integrated information should satisfy the lower and upper bounds as follows: The lower bound of integrated information should be 0 and is equal to 0 when the system does not generate information (no information) or when the system comprises independent parts (no integration). The upper bound of integrated information is the amount of information generated by the whole system. Here we derive the novel practical measure Φ* by introducing a concept of mismatched decoding developed from information theory. We show that Φ* is properly bounded from below and above, as required, as a measure of integrated information. We derive the analytical expression of Φ* under the Gaussian assumption, which makes it readily applicable to experimental data. Our novel measure Φ* can generally be used as a measure of integrated information in research on consciousness, and also as a tool for network analysis on diverse areas of biology. PMID:26796119

  12. Integrated information portal

    The Integrated Information Portal (IIP) is a web-based information portal to support the needs of decision-makers responsible for nuclear safeguards. The emphasis of IIP is to provide a seamless interface for accessing multi-source information in a timely and intuitive manner. With proper access control, open source information can be integrated with internal confidential databases, through an open-architecture design. The paper discusses the open architecture approach from an information technology perspective. To demonstrate the concept, a prototype was created using Microsoft Net, AJAX enabled technologies and a customized ESRI ArcIMS web mapping solution in an n-tier client/server architecture. The benefits of implementing and using a solution orientated in this manner are presented. (author)

  13. On-line integration of semantic information from speech and gesture: Insights from event-related brain potentials

    Özyürek, A.; Willems, R.M.; Kita, S.; Hagoort, P.


    During language comprehension, listeners use the global semantic representation from previous sentence or discourse context to immediately integrate the meaning of each upcoming word into the unfolding message-level representation. Here we investigate whether communicative gestures that often sponta

  14. On-line integration of semantic information from speech and gesture: Insights from event-related brain potentials


    During language comprehension, listeners use the global semantic representation from previous sentence or discourse context to immediately integrate the meaning of each upcoming word into the unfolding message-level representation. Here we investigate whether communicative gestures that often spontaneously co-occur with speech are processed in a similar fashion and integrated to previous sentence context in the same way as lexical meaning. Event-related potentials were measured while subjects...

  15. Markers for blood-brain barrier integrity

    Saunders, Norman R; Dziegielewska, Katarzyna M; Møllgård, Kjeld;


    In recent years there has been a resurgence of interest in brain barriers and various roles their intrinsic mechanisms may play in neurological disorders. Such studies require suitable models and markers to demonstrate integrity and functional changes at the interfaces between blood, brain, and...... cerebrospinal fluid. Studies of brain barrier mechanisms and measurements of plasma volume using dyes have a long-standing history, dating back to the late nineteenth-century. Their use in blood-brain barrier studies continues in spite of their known serious limitations in in vivo applications. These were well...... known when first introduced, but seem to have been forgotten since. Understanding these limitations is important because Evans blue is still the most commonly used marker of brain barrier integrity and those using it seem oblivious to problems arising from its in vivo application. The introduction of...

  16. Information processing in miniature brains.

    Chittka, L; Skorupski, P


    Since a comprehensive understanding of brain function and evolution in vertebrates is often hobbled by the sheer size of the nervous system, as well as ethical concerns, major research efforts have been made to understand the neural circuitry underpinning behaviour and cognition in invertebrates, and its costs and benefits under natural conditions. This special feature of Proceedings of the Royal Society B contains an idiosyncratic range of current research perspectives on neural underpinnings and adaptive benefits (and costs) of such diverse phenomena as spatial memory, colour vision, attention, spontaneous behaviour initiation, memory dynamics, relational rule learning and sleep, in a range of animals from marine invertebrates with exquisitely simple nervous systems to social insects forming societies with many thousands of individuals working together as a 'superorganism'. This introduction provides context and history to tie the various approaches together, and concludes that there is an urgent need to understand the full neuron-to-neuron circuitry underlying various forms of information processing-not just to explore brain function comprehensively, but also to understand how (and how easily) cognitive capacities might evolve in the face of pertinent selection pressures. In the invertebrates, reaching these goals is becoming increasingly realistic. PMID:21227971

  17. Brain functional integration decreases during propofol-induced loss of consciousness.

    Schrouff, Jessica; Perlbarg, Vincent; Boly, Mélanie; Marrelec, Guillaume; Boveroux, Pierre; Vanhaudenhuyse, Audrey; Bruno, Marie-Aurélie; Laureys, Steven; Phillips, Christophe; Pélégrini-Issac, Mélanie; Maquet, Pierre; Benali, Habib


    Consciousness has been related to the amount of integrated information that the brain is able to generate. In this paper, we tested the hypothesis that the loss of consciousness caused by propofol anesthesia is associated with a significant reduction in the capacity of the brain to integrate information. To assess the functional structure of the whole brain, functional integration and partial correlations were computed from fMRI data acquired from 18 healthy volunteers during resting wakefuln...

  18. Integrated Information Portal (IIP)

    The information portal will provide IAEA staff with a computer interface to access data world wide based on queries for information by geographic areas, such as a country or location in a country. Internal IAEA sources could also be accessed. An open architecture is proposed that could utilise existing and future applications and tools. The proposed approach also would be able to integrate with the IAEA ISIS Re-engineering Project (IRP). The first phase of the 'Integrated Information Portal' (IIP) was presented at the last INMM meeting in Phoenix. The system utilizes state-of-the-art geospatial tools, ESRI ArcIMS Web Services and GeoTango GlobeView for the development of the IIP. The user requirements, system design, and the initial prototype were presented. This project is one of the initiatives sponsored by Canadian Safeguards Support Program in support of the International Atomic Energy Agency (IAEA). The goal is to develop an easy-to-use, effective on-line tool to support timely decision making. This paper presents the development of a prototype of the IIP concept using ArcIMS/ArcGIS/ArcWeb Services. The prototype includes several case studies using open-source information readily available from the Web to illustrate the simplicity in navigational tools which would be useful for decision makers. It has been envisaged that available open-source information on the Web could be a valuable source of information for the IAEA as many of the data sources are generally reliable, up-to-date, public, and cost-free or at nominal cost. The IIP is designed as a global and web-based information portal to support timely and informed decisions by using multi-source information access; however, with proper access control, link to protected confidential databases including those of the IAEA can be readily incorporated in its open-architecture design. In this prototype, GIS users would search for geographic information and connect to the portal for information access. The search

  19. Integrated clinical information system.

    Brousseau, G


    SIDOCI (Système Informatisé de DOnnées Cliniques Intégrées) is a Canadian joint venture introducing newly-operating paradigms into hospitals. The main goal of SIDOCI is to maintain the quality of care in todayUs tightening economy. SIDOCI is a fully integrated paperless patient-care system which automates and links all information about a patient. Data is available on-line and instantaneously to doctors, nurses, and support staff in the format that best suits their specific requirements. SIDOCI provides a factual and chronological summary of the patient's progress by drawing together clinical information provided by all professionals working with the patient, regardless of their discipline, level of experience, or physical location. It also allows for direct entry of the patient's information at the bedside. Laboratory results, progress notes, patient history and graphs are available instantaneously on screen, eliminating the need for physical file transfers. The system, incorporating a sophisticated clinical information database, an intuitive graphical user interface, and customized screens for each medical discipline, guides the user through standard procedures. Unlike most information systems created for the health care industry, SIDOCI is longitudinal, covering all aspects of the health care process through its link to various vertical systems already in place. A multidisciplinary team has created a clinical dictionary that provides the user with most of the information she would normally use: symptoms, signs, diagnoses, allergies, medications, interventions, etc. This information is structured and displayed in such a manner that health care professionals can document the clinical situation at the touch of a finger. The data is then encoded into the patient's file. Once encoded, the structured data is accessible for research, statistics, education, and quality assurance. This dictionary complies with national and international nomenclatures. It also

  20. Rule-based information integration

    Keijzer, de, S.; Keulen, van, H.


    In this report, we show the process of information integration. We specifically discuss the language used for integration. We show that integration consists of two phases, the schema mapping phase and the data integration phase. We formally define transformation rules, conversion, evolution and versioning. We further discuss the integration process from a data point of view.

  1. Integrating Retinoic Acid Signaling with Brain Function

    Luo, Tuanlian; Wagner, Elisabeth; Drager, Ursula C.


    The vitamin A derivative retinoic acid (RA) regulates the transcription of about a 6th of the human genome. Compelling evidence indicates a role of RA in cognitive activities, but its integration with the molecular mechanisms of higher brain functions is not known. Here we describe the properties of RA signaling in the mouse, which point to…

  2. Integrated Compliance Information System (ICIS)

    U.S. Environmental Protection Agency — The purpose of ICIS is to meet evolving Enforcement and Compliance business needs for EPA and State users by integrating information into a single integrated data...

  3. Information technology of database integration

    Черненко, Николай Владимирович


    The article considers the problem that has developed in the course of decentralized organization automation, and its possible solutions. To eliminate the defects it was suggested to integrate the databases of heterogeneous information systems into a single database of organization. A study of existing methodologies, approaches and practices of the integration of databases took place. The article suggests the formal description of the information technology of database integration, which allow...

  4. Pain: a distributed brain information network?

    Hiroaki Mano


    Full Text Available Understanding how pain is processed in the brain has been an enduring puzzle, because there doesn't appear to be a single "pain cortex" that directly codes the subjective perception of pain. An emerging concept is that, instead, pain might emerge from the coordinated activity of an integrated brain network. In support of this view, Woo and colleagues present evidence that distinct brain networks support the subjective changes in pain that result from nociceptive input and self-directed cognitive modulation. This evidence for the sensitivity of distinct neural subsystems to different aspects of pain opens up the way to more formal computational network theories of pain.

  5. Information processing in miniature brains

    Chittka, L.; Skorupski, P.


    Since a comprehensive understanding of brain function and evolution in vertebrates is often hobbled by the sheer size of the nervous system, as well as ethical concerns, major research efforts have been made to understand the neural circuitry underpinning behaviour and cognition in invertebrates, and its costs and benefits under natural conditions. This special feature of Proceedings of the Royal Society B contains an idiosyncratic range of current research perspectives on neural underpinning...

  6. Concept of Information as a Bridge between Mind and Brain

    Marcin J. Schroeder


    Full Text Available The article is focused on the special role of the concept of information understood in terms of the one-many categorical opposition in building a bridge between mind and brain. This particular choice of the definition of information allows unification of the main two manifestations of information implicitly present in literature, the selective and the structural. It is shown that the concept of information formulated this way together with the concept of information integration can be used to explain the unity of conscious experience, and furthermore to resolve several fundamental problems such as understanding the experiential aspect of consciousness without getting into homunculus fallacy, defending free will from mechanistic determinism, and explaining symbolic representation and aesthetical experience. The dual character of selective and structural manifestations opens the way between the orthodox information scientific description of the brain in terms of the former, and description of mind in terms of the latter.

  7. Integrated Risk Information System (IRIS)

    U.S. Environmental Protection Agency — EPA?s Integrated Risk Information System (IRIS) is a compilation of electronic reports on specific substances found in the environment and their potential to cause...

  8. Moving Past the Minimum Information Partition: How To Quickly and Accurately Calculate Integrated Information

    Toker, Daniel; Sommer, Friedrich


    An outstanding challenge with the Integrated Information Theory of Consciousness (IIT) is to find a way of rapidly and accurately calculating integrated information from neural data. A number of measures of integrated information based on time series data have been proposed, but most measures require finding the Minimum Information Partition of a network, which is computationally expensive and not practical for real brain data. Here, we introduce a novel partition, the Maximum Modularity Part...

  9. Brain-Computer Interface Controlled Cyborg: Establishing a Functional Information Transfer Pathway from Human Brain to Cockroach Brain.

    Li, Guangye; Zhang, Dingguo


    An all-chain-wireless brain-to-brain system (BTBS), which enabled motion control of a cyborg cockroach via human brain, was developed in this work. Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) was used in this system for recognizing human motion intention and an optimization algorithm was proposed in SSVEP to improve online performance of the BCI. The cyborg cockroach was developed by surgically integrating a portable microstimulator that could generate invasive electrical nerve stimulation. Through Bluetooth communication, specific electrical pulse trains could be triggered from the microstimulator by BCI commands and were sent through the antenna nerve to stimulate the brain of cockroach. Serial experiments were designed and conducted to test overall performance of the BTBS with six human subjects and three cockroaches. The experimental results showed that the online classification accuracy of three-mode BCI increased from 72.86% to 78.56% by 5.70% using the optimization algorithm and the mean response accuracy of the cyborgs using this system reached 89.5%. Moreover, the results also showed that the cyborg could be navigated by the human brain to complete walking along an S-shape track with the success rate of about 20%, suggesting the proposed BTBS established a feasible functional information transfer pathway from the human brain to the cockroach brain. PMID:26982717

  10. Brain-Computer Interface Controlled Cyborg: Establishing a Functional Information Transfer Pathway from Human Brain to Cockroach Brain


    An all-chain-wireless brain-to-brain system (BTBS), which enabled motion control of a cyborg cockroach via human brain, was developed in this work. Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) was used in this system for recognizing human motion intention and an optimization algorithm was proposed in SSVEP to improve online performance of the BCI. The cyborg cockroach was developed by surgically integrating a portable microstimulator that could generate invasive electrical nerve stimulation. Through Bluetooth communication, specific electrical pulse trains could be triggered from the microstimulator by BCI commands and were sent through the antenna nerve to stimulate the brain of cockroach. Serial experiments were designed and conducted to test overall performance of the BTBS with six human subjects and three cockroaches. The experimental results showed that the online classification accuracy of three-mode BCI increased from 72.86% to 78.56% by 5.70% using the optimization algorithm and the mean response accuracy of the cyborgs using this system reached 89.5%. Moreover, the results also showed that the cyborg could be navigated by the human brain to complete walking along an S-shape track with the success rate of about 20%, suggesting the proposed BTBS established a feasible functional information transfer pathway from the human brain to the cockroach brain. PMID:26982717

  11. Cyberinfrastructure for the digital brain: spatial standards for integrating rodent brain atlases

    Ilya eZaslavsky


    Full Text Available Biomedical research entails capture and analysis of massive data volumes and new discoveries arise from data-integration and mining. This is only possible if data can be mapped onto a common framework such as the genome for genomic data. In neuroscience, the framework is intrinsically spatial and based on a number of paper atlases. This cannot meet today’s data-intensive analysis and integration challenges. A scalable and extensible software infrastructure that is standards based but open for novel data and resources, is required for integrating information such as signal distributions, gene-expression, neuronal connectivity, electrophysiology, anatomy, and developmental processes. Therefore, the International Neuroinformatics Coordinating Facility (INCF initiated the development of a spatial framework for neuroscience data integration with an associated Digital Atlasing Infrastructure (DAI. A prototype implementation of this infrastructure for the rodent brain is reported here. The infrastructure is based on a collection of reference spaces to which data is mapped at the required resolution, such as the Waxholm Space (WHS, a 3D reconstruction of the brain generated using high-resolution, multi-channel microMRI. The core standards of the digital atlasing service-oriented infrastructure include Waxholm Markup Language (WaxML: XML schema expressing a uniform information model for key elements such as coordinate systems, transformations, points of interest (POIs, labels, and annotations; and Atlas Web Services: interfaces for querying and updating atlas data. The services return WaxML-encoded documents with information about capabilities, spatial reference systems and structures, and execute coordinate transformations and POI-based requests. Key elements of INCF-DAI cyberinfrastructure have been prototyped for both mouse and rat brain atlas sources, including the Allen Mouse Brain Atlas, UCSD Cell-Centered Database, and Edinburgh Mouse Atlas

  12. Semantic Integration of Information Systems

    Anna Lisa Guido


    Full Text Available In the previous years Information System manage only information inside the company, today a companymay search and manage information of the other companies. In this scenario the problem ofcommunication between Information Systems is of the highest importance. Up to the present moment,several types of integration have been used but all were founded on the agreement (about data to shareand the exchange format between the interested Information Systems. Today, thanks to the newtechnologies, it is possible that an Information System uses data of another Information System without aprevious agreement. The problem is that, often, the Information System may refer to the same data butwith different names. In this paper we present a methodology that, using ontology, and thus the intrinsicsemantic of each data of the Information System, allow to create a global ontology useful to enable asemantic communication between Information Systems.

  13. Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

    Eugster, Manuel J. A.; Ruotsalo, Tuukka; Spapé, Michiel M.; Barral, Oswald; Ravaja, Niklas; Jacucci, Giulio; Kaski, Samuel


    Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user's interest or search intention is necessary to recommend and retrieve relevant information from these collections. We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals. In experiments, participants were asked to read Wikipedia documents about a selection of topics while their ...


    Marcos Cortez Campomar


    Full Text Available Metaphoric language has grown in popularity over the last years. Once simple figure of speech, metaphors were transformed into a respectable approach for organizational analysis. The brain metaphor constitutes an attractive system of ideas for studying organizational phenomena. In this paper, it is used the brain metaphor as a point of departure in developing another informational metaphor: the network metaphor. It is suggested that the latter might provide a better perspective for studying contemporary organizations in this age of information and telecommunications.

  15. Ontology-Driven Information Integration

    Tissot, Florence; Menzel, Chris


    Ontology-driven information integration (ODII) is a method of computerized, automated sharing of information among specialists who have expertise in different domains and who are members of subdivisions of a large, complex enterprise (e.g., an engineering project, a government agency, or a business). In ODII, one uses rigorous mathematical techniques to develop computational models of engineering and/or business information and processes. These models are then used to develop software tools that support the reliable processing and exchange of information among the subdivisions of this enterprise or between this enterprise and other enterprises.

  16. Integrated risk information system (IRIS)

    Tuxen, L. [Environmental Protection Agency, Washington, DC (United States)


    The Integrated Risk Information System (IRIS) is an electronic information system developed by the US Environmental Protection Agency (EPA) containing information related to health risk assessment. IRIS is the Agency`s primary vehicle for communication of chronic health hazard information that represents Agency consensus following comprehensive review by intra-Agency work groups. The original purpose for developing IRIS was to provide guidance to EPA personnel in making risk management decisions. This original purpose for developing IRIS was to guidance to EPA personnel in making risk management decisions. This role has expanded and evolved with wider access and use of the system. IRIS contains chemical-specific information in summary format for approximately 500 chemicals. IRIS is available to the general public on the National Library of Medicine`s Toxicology Data Network (TOXNET) and on diskettes through the National Technical Information Service (NTIS).

  17. Academic Integrity and Informational Technology.

    Plowman, Travis S.


    Considers the impact of information technology on academic integrity. Highlights include machines versus man; honor codes and student cheating; copyrights for digital data; authoring versus writing; intuitive software; and an example and analysis of the use of AutoSummary in Microsoft Word 97 to create a summary of a published article. (Contains…

  18. Theoretical information reuse and integration

    Rubin, Stuart


    Information Reuse and Integration addresses the efficient extension and creation of knowledge through the exploitation of Kolmogorov complexity in the extraction and application of domain symmetry. Knowledge, which seems to be novel, can more often than not be recast as the image of a sequence of transformations, which yield symmetric knowledge. When the size of those transformations and/or the length of that sequence of transforms exceeds the size of the image, then that image is said to be novel or random. It may also be that the new knowledge is random in that no such sequence of transforms, which produces it exists, or is at least known. The nine chapters comprising this volume incorporate symmetry, reuse, and integration as overt operational procedures or as operations built into the formal representations of data and operators employed. Either way, the aforementioned theoretical underpinnings of information reuse and integration are supported.

  19. An information integration theory of consciousness

    Tononi Giulio


    Full Text Available Abstract Background Consciousness poses two main problems. The first is understanding the conditions that determine to what extent a system has conscious experience. For instance, why is our consciousness generated by certain parts of our brain, such as the thalamocortical system, and not by other parts, such as the cerebellum? And why are we conscious during wakefulness and much less so during dreamless sleep? The second problem is understanding the conditions that determine what kind of consciousness a system has. For example, why do specific parts of the brain contribute specific qualities to our conscious experience, such as vision and audition? Presentation of the hypothesis This paper presents a theory about what consciousness is and how it can be measured. According to the theory, consciousness corresponds to the capacity of a system to integrate information. This claim is motivated by two key phenomenological properties of consciousness: differentiation – the availability of a very large number of conscious experiences; and integration – the unity of each such experience. The theory states that the quantity of consciousness available to a system can be measured as the Φ value of a complex of elements. Φ is the amount of causally effective information that can be integrated across the informational weakest link of a subset of elements. A complex is a subset of elements with Φ>0 that is not part of a subset of higher Φ. The theory also claims that the quality of consciousness is determined by the informational relationships among the elements of a complex, which are specified by the values of effective information among them. Finally, each particular conscious experience is specified by the value, at any given time, of the variables mediating informational interactions among the elements of a complex. Testing the hypothesis The information integration theory accounts, in a principled manner, for several neurobiological observations

  20. Information integration for data fusion

    Bray, O.H.


    Data fusion has been identified by the Department of Defense as a critical technology for the U.S. defense industry. Data fusion requires combining expertise in two areas - sensors and information integration. Although data fusion is a rapidly growing area, there is little synergy and use of common, reusable, and/or tailorable objects and models, especially across different disciplines. The Laboratory-Directed Research and Development project had two purposes: to see if a natural language-based information modeling methodology could be used for data fusion problems, and if so, to determine whether this methodology would help identify commonalities across areas and achieve greater synergy. The project confirmed both of the initial hypotheses: that the natural language-based information modeling methodology could be used effectively in data fusion areas and that commonalities could be found that would allow synergy across various data fusion areas. The project found five common objects that are the basis for all of the data fusion areas examined: targets, behaviors, environments, signatures, and sensors. Many of the objects and the specific facts related to these objects were common across several areas and could easily be reused. In some cases, even the terminology remained the same. In other cases, different areas had their own terminology, but the concepts were the same. This commonality is important with the growing use of multisensor data fusion. Data fusion is much more difficult if each type of sensor uses its own objects and models rather than building on a common set. This report introduces data fusion, discusses how the synergy generated by this LDRD would have benefited an earlier successful project and contains a summary information model from that project, describes a preliminary management information model, and explains how information integration can facilitate cross-treaty synergy for various arms control treaties.

  1. Brain functional integration decreases during propofol-induced loss of consciousness.

    Schrouff, Jessica; Perlbarg, Vincent; Boly, Mélanie; Marrelec, Guillaume; Boveroux, Pierre; Vanhaudenhuyse, Audrey; Bruno, Marie-Aurélie; Laureys, Steven; Phillips, Christophe; Pélégrini-Issac, Mélanie; Maquet, Pierre; Benali, Habib


    Consciousness has been related to the amount of integrated information that the brain is able to generate. In this paper, we tested the hypothesis that the loss of consciousness caused by propofol anesthesia is associated with a significant reduction in the capacity of the brain to integrate information. To assess the functional structure of the whole brain, functional integration and partial correlations were computed from fMRI data acquired from 18 healthy volunteers during resting wakefulness and propofol-induced deep sedation. Total integration was significantly reduced from wakefulness to deep sedation in the whole brain as well as within and between its constituent networks (or systems). Integration was systematically reduced within each system (i.e., brain or networks), as well as between networks. However, the ventral attentional network maintained interactions with most other networks during deep sedation. Partial correlations further suggested that functional connectivity was particularly affected between parietal areas and frontal or temporal regions during deep sedation. Our findings suggest that the breakdown in brain integration is the neural correlate of the loss of consciousness induced by propofol. They stress the important role played by parietal and frontal areas in the generation of consciousness. PMID:21524704

  2. CORBA Based Information Integration Platform for CIMS


    A new information integration platform for computer integrated manufacturing system(CIMS) is presented, which is based on agent and CORBA. CORBA enhances the system integration be-cause it is an industry-standard for interoperable, distributed objects across heterogeneous hardware andsoftware platform. Agent technology is used to improve intelligence of integration system. In order to im-plement the information integration platform, we use network integration server to integrate network, de-sign a generic database agent to integrate database, adopt multi-agent based architecture to integrate appli-cation, and utilize wrapper as CORBA object to integrate legacy code.

  3. Work-up times in an integrated brain cancer pathway

    Lund Laursen, Emilie; Rasmussen, Birthe Krogh


    The integrated brain cancer pathway (IBCP) aims to ensure fast-track diagnostics and treatment for brain cancers in Denmark. This paper focuses on the referral pattern and the time frame of key pathway elements during the first two years following implementation of the IBCP in a regional neurolog...

  4. Information Security and Integrity Systems


    Viewgraphs from the Information Security and Integrity Systems seminar held at the University of Houston-Clear Lake on May 15-16, 1990 are presented. A tutorial on computer security is presented. The goals of this tutorial are the following: to review security requirements imposed by government and by common sense; to examine risk analysis methods to help keep sight of forest while in trees; to discuss the current hot topic of viruses (which will stay hot); to examine network security, now and in the next year to 30 years; to give a brief overview of encryption; to review protection methods in operating systems; to review database security problems; to review the Trusted Computer System Evaluation Criteria (Orange Book); to comment on formal verification methods; to consider new approaches (like intrusion detection and biometrics); to review the old, low tech, and still good solutions; and to give pointers to the literature and to where to get help. Other topics covered include security in software applications and development; risk management; trust: formal methods and associated techniques; secure distributed operating system and verification; trusted Ada; a conceptual model for supporting a B3+ dynamic multilevel security and integrity in the Ada runtime environment; and information intelligence sciences.

  5. Information Integration - the process of integration, evolution and versioning

    Keijzer, de, Bart; Keulen, van, H.


    At present, many information sources are available wherever you are. Most of the time, the information needed is spread across several of those information sources. Gathering this information is a tedious and time consuming job. Automating this process would assist the user in its task. Integration of the information sources provides a global information source with all information needed present. All of these information sources also change over time. With each change of the information sour...

  6. What Brain Sciences Reveal about Integrating Theory and Practice

    Patton, Michael Quinn


    Theory and practice are integrated in the human brain. Situation recognition and response are key to this integration. Scholars of decision making and expertise have found that people with great expertise are more adept at situational recognition and intentional about their decision-making processes. Several interdisciplinary fields of inquiry…

  7. Integration of language and sensor information

    Perlovsky, Leonid I.; Weijers, Bertus


    The talk describes the development of basic technologies of intelligent systems fusing data from multiple domains and leading to automated computational techniques for understanding data contents. Understanding involves inferring appropriate decisions and recommending proper actions, which in turn requires fusion of data and knowledge about objects, situations, and actions. Data might include sensory data, verbal reports, intelligence intercepts, or public records, whereas knowledge ought to encompass the whole range of objects, situations, people and their behavior, and knowledge of languages. In the past, a fundamental difficulty in combining knowledge with data was the combinatorial complexity of computations, too many combinations of data and knowledge pieces had to be evaluated. Recent progress in understanding of natural intelligent systems, including the human mind, leads to the development of neurophysiologically motivated architectures for solving these challenging problems, in particular the role of emotional neural signals in overcoming combinatorial complexity of old logic-based approaches. Whereas past approaches based on logic tended to identify logic with language and thinking, recent studies in cognitive linguistics have led to appreciation of more complicated nature of linguistic models. Little is known about the details of the brain mechanisms integrating language and thinking. Understanding and fusion of linguistic information with sensory data represent a novel challenging aspect of the development of integrated fusion systems. The presentation will describe a non-combinatorial approach to this problem and outline techniques that can be used for fusing diverse and uncertain knowledge with sensory and linguistic data.

  8. Neo-classical principles for information integrity

    Christiaanse, R.; Hulstijn, J.


    Abstract: For inter-organizational systems, integrity of information is crucial: how to make sure that the information represented in a system will continue to faithfully represent business reality? In this paper we present a neo-classical approach to information integrity. We apply „classic‟ princi

  9. Integrated Access to Hybrid Information Resources

    Tamar Sadeh


    This paper is entitled "Integrated access to hybrid information resources", but integrated access is just a means to reach an end. Our challenge is to create an integrated environment in a heterogeneous world. Users are not aware, and do not want to be aware, of the differences between the various information resources that their institution provides. All they want is to be able to attain the information they are looking for, in the simplest and most straightforward way possible.

  10. Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information

    G., Narkhede Sachin; Khairnar, Vaishali; Kadu, Sujata


    Image segmentation some of the challenging issues on brain magnetic resonance image tumor segmentation caused by the weak correlation between magnetic resonance imaging intensity and anatomical meaning.With the objective of utilizing more meaningful information to improve brain tumor segmentation,an approach which employs bilateral symmetry information as an additional feature for segmentation is proposed.This is motivated by potential performance improvement in the general automatic brain tu...

  11. The modular and integrative functional architecture of the human brain.

    Bertolero, Maxwell A; Yeo, B T Thomas; D'Esposito, Mark


    Network-based analyses of brain imaging data consistently reveal distinct modules and connector nodes with diverse global connectivity across the modules. How discrete the functions of modules are, how dependent the computational load of each module is to the other modules' processing, and what the precise role of connector nodes is for between-module communication remains underspecified. Here, we use a network model of the brain derived from resting-state functional MRI (rs-fMRI) data and investigate the modular functional architecture of the human brain by analyzing activity at different types of nodes in the network across 9,208 experiments of 77 cognitive tasks in the BrainMap database. Using an author-topic model of cognitive functions, we find a strong spatial correspondence between the cognitive functions and the network's modules, suggesting that each module performs a discrete cognitive function. Crucially, activity at local nodes within the modules does not increase in tasks that require more cognitive functions, demonstrating the autonomy of modules' functions. However, connector nodes do exhibit increased activity when more cognitive functions are engaged in a task. Moreover, connector nodes are located where brain activity is associated with many different cognitive functions. Connector nodes potentially play a role in between-module communication that maintains the modular function of the brain. Together, these findings provide a network account of the brain's modular yet integrated implementation of cognitive functions. PMID:26598686

  12. Information systems integration in radiology

    Honeyman, Janice C.


    Advances in information systems and technology in conjunction with outside forces requiring improved reporting are driving sweeping changes in the practice of radiology. In most academic radiology departments, there can be at least five separate information systems in daily use, a clinical picture archiving and communication system (PACS), a hospital information system (HIS), a radiology information system (RIS), a voice-recognition dictation system, and an electronic teaching/research file s...

  13. NF-κB and epigenetic mechanisms as integrative regulators of brain resilience to anoxic stress.

    Sarnico, Ilenia; Branca, Caterina; Lanzillotta, Annamaria; Porrini, Vanessa; Benarese, Marina; Spano, Pier Franco; Pizzi, Marina


    Brain cells display an amazing ability to respond to several different types of environmental stimuli and integrate this response physiologically. Some of these responses can outlive the original stimulus by days, weeks or even longer. Long-lasting changes in both physiological and pathological conditions occurring in response to external stimuli are almost always mediated by changes in gene expression. To effect these changes, cells have developed an impressive repertoire of signaling systems designed to modulate the activity of numerous transcription factors and epigenetic mechanisms affecting the chromatin structure. Since its initial characterization in the nervous system, NF-κB has shown to respond to multiple signals and elicit pleiotropic activities suggesting that it may play a pivotal role in integration of different types of information within the brain. Ample evidence demonstrates that NF-κB factors are engaged in and necessary for neuronal development and synaptic plasticity, but they also regulate brain response to environmental noxae. By focusing on the complexity of NF-κB transcriptional activity in neuronal cell death, it emerged that the composition of NF-κB active dimers finely tunes the neuronal vulnerability to brain ischemia. Even though we are only beginning to understand the contribution of distinct NF-κB family members to the regulation of gene transcription in the brain, an additional level of regulation of NF-κB activity has emerged as operated by the epigenetic mechanisms modulating histone acetylation. We will discuss NF-κB and epigenetic mechanisms as integrative regulators of brain resilience to anoxic stress and useful drug targets for restoration of brain function. This article is part of a Special Issue entitled: Brain Integration. PMID:22575713

  14. IMIS: Integrated Maintenance Information System. A maintenance information delivery concept

    Vonholle, Joseph C.


    The Integrated Maintenance Information System (IMIS) will optimize the use of available manpower, enhance technical performance, improve training, and reduce the support equipment and documentation needed for deployment. It will serve as the technician's single, integrated source of all the technical information required to perform modern aircraft maintenance.

  15. Brain Tumor Epidemiology Consortium Membership Information

    BTEC welcomes new members interested in the development of multi-center, inter-disciplinary collaborations that will lead to a better understanding of the etiology, outcomes and prevention of all brain tumors.

  16. How Does the Brain Organize Information?

    Kroger, Helmut


    Cognitive processes in the brain, like learning, formation of memory, recovery of memorized images, classification of objects have two features: First, there is no supervisor in the brain who controls these processes. Second there is a hugh number of neurons (10^{6} to 10^{10}) involved in those cognitive tasks. For this reason, the search of understanding cognitive processes uses models built from a large number of neurons, but very much simplified neurons. The so-called neural networks have...

  17. Integrated Taxonomic Information System (ITIS)

    U.S. Geological Survey, Department of the Interior — ITIS is an easily accessible database with reliable information on species names and their hierarchical classification that is publicly accessible with unlimited...

  18. How Cognitive Plasticity Resolves the Brain's Information Processing Dilemma

    Diankun Gong; Weiyi Ma; Kendrick, Keith M.; Qingqing Hu; Dezhong Yao


    A key unresolved question in cognitive science is whether the brain uses asynchronous or synchronous patterns of information transmission. Using an auditory learning task combined with electrophysiological recordings, we reveal for the first time that cognitive plasticity during learning transforms an asynchronous into a synchronous transmission pattern to achieve rapid, error-free performance. We also present a new model showing how the brain may resolve its information processing and transm...

  19. Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information

    Narkhede Sachin G.,; Prof. Vaishali Khairnar


    Image segmentation some of the challenging issues on brain magnetic resonance (MR) image tumor segmentation caused by the weak correlation between magnetic resonance imaging (MRI) intensity and anatomical meaning. With the objective of utilizing more meaningful information to improve brain tumor segmentation, an approach which employs bilateral symmetry information as an additional feature for segmentation is proposed. This is motivated by potential performance improvement in ...

  20. Integrated Primary Care Information Database (IPCI)

    The Integrated Primary Care Information Database is a longitudinal observational database that was created specifically for pharmacoepidemiological and pharmacoeconomic studies, inlcuding data from computer-based patient records supplied voluntarily by general practitioners.

  1. Integrated Information-induced quantum collapse

    Kremnizer, Kobi; Ranchin, André


    We present a novel spontaneous collapse model where size is no longer the property of a physical system which determines its rate of collapse. Instead, we argue that the rate of spontaneous localization should depend on a system's quantum Integrated Information (QII), a novel physical property which describes a system's capacity to act like a quantum observer. We introduce quantum Integrated Information, present our QII collapse model and briefly explain how it may be experimentally tested ag...

  2. Integrated Information-Induced Quantum Collapse

    Kremnizer, Kobi; Ranchin, André


    We present a novel spontaneous collapse model where size is no longer the property of a physical system which determines its rate of collapse. Instead, we argue that the rate of spontaneous localization should depend on a system's quantum Integrated Information (QII), a novel physical property which describes a system's capacity to act like a quantum observer. We introduce quantum Integrated Information, present our QII collapse model and briefly explain how it may be experimentally tested against quantum theory.

  3. Neurocomputational approaches to modelling multisensory integration in the brain: a review.

    Ursino, Mauro; Cuppini, Cristiano; Magosso, Elisa


    The Brain's ability to integrate information from different modalities (multisensory integration) is fundamental for accurate sensory experience and efficient interaction with the environment: it enhances detection of external stimuli, disambiguates conflict situations, speeds up responsiveness, facilitates processes of memory retrieval and object recognition. Multisensory integration operates at several brain levels: in subcortical structures (especially the Superior Colliculus), in higher-level associative cortices (e.g., posterior parietal regions), and even in early cortical areas (such as primary cortices) traditionally considered to be purely unisensory. Because of complex non-linear mechanisms of brain integrative phenomena, a key tool for their understanding is represented by neurocomputational models. This review examines different modelling principles and architectures, distinguishing the models on the basis of their aims: (i) Bayesian models based on probabilities and realizing optimal estimator of external cues; (ii) biologically inspired models of multisensory integration in the Superior Colliculus and in the Cortex, both at level of single neuron and network of neurons, with emphasis on physiological mechanisms and architectural schemes; among the latter, some models exhibit synaptic plasticity and reproduce development of integrative capabilities via Hebbian-learning rules or self-organizing maps; (iii) models of semantic memory that implement object meaning as a fusion between sensory-motor features (embodied cognition). This overview paves the way to future challenges, such as reconciling neurophysiological and Bayesian models into a unifying theory, and stimulates upcoming research in both theoretical and applicative domains. PMID:25218929

  4. The Romanian SME and the Information Integration



    Full Text Available Small and Medium-sized Enterprises (SME increasingly consider information as an important resource. The challenge consists in using all the integration techniques of the day – whether they are information, data, application systems or even business-process integration – to build an Information Technology platform that can meet the demands of real-time businesses. Over the last few years, new fundamental technologies have provided the basis for clearly improved functionality and quality of enterprise-wide information management. The fundamental nature of work is changing in the e-business era. The information integration offers SME tremendous benefits, such as streamlined business processes and increased efficiency. This paper draws on the reality of SME in Romania.

  5. Brain Tumor Detection Based On Symmetry Information

    G., Narkhede Sachin; Khairnar, Vaishali


    Advances in computing technology have allowed researchers across many fields of endeavor to collect and maintain vast amounts of observational statistical data such as clinical data, biological patient data, data regarding access of web sites, financial data, and the like. This paper addresses some of the challenging issues on brain magnetic resonance (MR) image tumor segmentation caused by the weak correlation between magnetic resonance imaging (MRI) intensity and anatomical meaning. With th...

  6. Guest editorial. Integrated healthcare information systems.

    Li, Ling; Ge, Ri-Li; Zhou, Shang-Ming; Valerdi, Ricardo


    The use of integrated information systems for healthcare has been started more than a decade ago. In recent years, rapid advances in information integration methods have spurred tremendous growth in the use of integrated information systems in healthcare delivery. Various techniques have been used for probing such integrated systems. These techniques include service-oriented architecture (SOA), EAI, workflow management, grid computing, and others. Many applications require a combination of these techniques, which gives rise to the emergence of enterprise systems in healthcare. Development of the techniques originated from different disciplines has the potential to significantly improve the performance of enterprise systems in healthcare. This editorial paper briefly introduces the enterprise systems in the perspective of healthcare informatics. PMID:22760931

  7. Unveiling the mystery of visual information processing in human brain

    Diamant, Emanuel


    It is generally accepted that human vision is an extremely powerful information processing system that facilitates our interaction with the surrounding world. However, despite extended and extensive research efforts, which encompass many exploration fields, the underlying fundamentals and operational principles of visual information processing in human brain remain unknown. We still are unable to figure out where and how along the path from eyes to the cortex the sensory input perceived by the retina is converted into a meaningful object representation, which can be consciously manipulated by the brain. Studying the vast literature considering the various aspects of brain information processing, I was surprised to learn that the respected scholarly discussion is totally indifferent to the basic keynote question: "What is information?" in general or "What is visual information?" in particular. In the old days, it was assumed that any scientific research approach has first to define its basic departure points. ...

  8. Integrating Information & Communications Technologies into the Classroom

    Tomei, Lawrence, Ed.


    "Integrating Information & Communications Technologies Into the Classroom" examines topics critical to business, computer science, and information technology education, such as: school improvement and reform, standards-based technology education programs, data-driven decision making, and strategic technology education planning. This book also…

  9. Whole Brain Radiotherapy With Hippocampal Avoidance and Simultaneously Integrated Brain Metastases Boost: A Planning Study

    Purpose: To evaluate the feasibility of using tomotherapy to deliver whole brain radiotherapy with hippocampal avoidance, hypothesized to reduce the risk of memory function decline, and simultaneously integrated boost to brain metastases to improve intracranial tumor control. Methods and Materials: Ten patients treated with radiosurgery and whole brain radiotherapy underwent repeat planning using tomotherapy with the original computed tomography scans and magnetic resonance imaging-computed tomography fusion-defined target and normal structure contours. The individually contoured hippocampus was used as a dose-limiting structure (2 and 5.8 ± 1.9 Gy2 for 2.5- and 1.0-cm FW, respectively. The mean treatment delivery time for the 2.5- and 1.0-cm FW plans was 10.2 ± 1.0 and 21.8 ± 1.8 min, respectively. Conclusion: Composite tomotherapy plans achieved three objectives: homogeneous whole brain dose distribution equivalent to conventional whole brain radiotherapy; conformal hippocampal avoidance; and radiosurgically equivalent dose distributions to individual metastases

  10. Integration of retinal and extraretinal information across eye movements.

    Florian Ostendorf

    Full Text Available Visual perception is burdened with a highly discontinuous input stream arising from saccadic eye movements. For successful integration into a coherent representation, the visuomotor system needs to deal with these self-induced perceptual changes and distinguish them from external motion. Forward models are one way to solve this problem where the brain uses internal monitoring signals associated with oculomotor commands to predict the visual consequences of corresponding eye movements during active exploration. Visual scenes typically contain a rich structure of spatial relational information, providing additional cues that may help disambiguate self-induced from external changes of perceptual input. We reasoned that a weighted integration of these two inherently noisy sources of information should lead to better perceptual estimates. Volunteer subjects performed a simple perceptual decision on the apparent displacement of a visual target, jumping unpredictably in sync with a saccadic eye movement. In a critical test condition, the target was presented together with a flanker object, where perceptual decisions could take into account the spatial distance between target and flanker object. Here, precision was better compared to control conditions in which target displacements could only be estimated from either extraretinal or visual relational information alone. Our findings suggest that under natural conditions, integration of visual space across eye movements is based upon close to optimal integration of both retinal and extraretinal pieces of information.

  11. Efficient multilevel brain tumor segmentation with integrated bayesian model classification.

    Corso, J J; Sharon, E; Dube, S; El-Saden, S; Sinha, U; Yuille, A


    We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation methods and top-down generative model based approaches. The main contribution of the paper is a Bayesian formulation for incorporating soft model assignments into the calculation of affinities, which are conventionally model free. We integrate the resulting model-aware affinities into the multilevel segmentation by weighted aggregation algorithm, and apply the technique to the task of detecting and segmenting brain tumor and edema in multichannel magnetic resonance (MR) volumes. The computationally efficient method runs orders of magnitude faster than current state-of-the-art techniques giving comparable or improved results. Our quantitative results indicate the benefit of incorporating model-aware affinities into the segmentation process for the difficult case of glioblastoma multiforme brain tumor. PMID:18450536

  12. Center for Integration of Natural Disaster Information

    U.S. Geological Survey


    The U.S. Geological Survey's Center for Integration of Natural Disaster Information (CINDI) is a research and operational facility that explores methods for collecting, integrating, and communicating information about the risks posed by natural hazards and the effects of natural disasters. The U.S. Geological Survey (USGS) is mandated by the Robert Stafford Act to warn citizens of impending landslides, volcanic eruptions, and earthquakes. The USGS also coordinates with other Federal, State, and local disaster agencies to monitor threats to communities from floods, coastal storms, wildfires, geomagnetic storms, drought, and outbreaks of disease in wildlife populations.

  13. Whole brain helical Tomotherapy with integrated boost for brain metastases in patients with malignant melanoma–a randomized trial

    Patients with malignant melanoma may develop brain metastases during the course of the disease, requiring radiotherapeutic treatment. In patients with 1–3 brain metastases, radiosurgery has been established as a treatment option besides surgery. For patients with 4 or more brain metastases, whole brain radiotherapy is considered the standard treatment. In certain patients with brain metastases, radiation treatment using whole brain helical Tomotherapy with integrated boost and hippocampal-sparing may improve prognosis of these patients. The present prospective, randomized two-armed trial aims to exploratory investigate the treatment response to conventional whole brain radiotherapy applying 30 Gy in 10 fractions versus whole brain helical Tomotherapy applying 30 Gy in 10 fractions with an integrated boost of 50 Gy to the brain metastases as well as hippocampal-sparing in patients with brain metastases from malignant melanoma. The main inclusion criteria include magnetic resonance imaging confirmed brain metastases from a histopathologically confirmed malignant melanoma in patients with a minimum age of 18 years. The main exclusion criteria include a previous radiotherapy of the brain and not having recovered from acute high-grade toxicities of prior therapies. The primary endpoint is treatment-related toxicity. Secondary endpoints include imaging response, local and loco-regional progression-free survival, overall survival and quality of life

  14. Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information

    Narkhede Sachin G.,


    Full Text Available Image segmentation some of the challenging issues on brain magnetic resonance (MR image tumor segmentation caused by the weak correlation between magnetic resonance imaging (MRI intensity and anatomical meaning. With the objective of utilizing more meaningful information to improve brain tumor segmentation, an approach which employs bilateral symmetry information as an additional feature for segmentation is proposed. This is motivated by potential performance improvement in the general automatic brain tumor segmentation systems which are important for many medical and scientific applications. Brain Magnetic Resonance Imaging (MRI segmentation is a complex problem in the field of medical imaging despite various presented methods. MR image of human brain can be divided into several sub-regions especially soft tissues such as gray matter, white matter and cerebrospinal fluid. Although edge information is the main clue in image segmentation, it can’t get a better result in analysis the content of images without combining other information. Our goal is to detect the position and boundary of tumors automatically. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.

  15. Assessing Extinction Risk: Integrating Genetic Information

    Gary Vinyard; Jennifer Nielsen; C. Richard Tracy; Mary Peacock; Jason Dunham


    Risks of population extinction have been estimated using a variety of methods incorporating information from different spatial and temporal scales. We briefly consider how several broad classes of extinction risk assessments, including population viability analysis, incidence functions, and ranking methods integrate information on different temporal and spatial scales. In many circumstances, data from surveys of neutral genetic variability within, and among, populations can provide informatio...

  16. Inconsistency Problems in the Information Systems Integration

    Štuller, Július

    Sofia : DATECS Publ, 1995 - (Candev, M.), s. 67-71 ISBN 954-613-006-2. [BIOMATH'95. International Symposium and Young Scientists School on Mathematical Modelling and Information Systems in the Biology, Ecology and Medicine. Sofia (BG), 23.08.1995-27.08.1995] Grant ostatní: COPERNICUS(XE) MUM-10053 Keywords : integration of databases * inconsistency resolution

  17. Inconsistency Problems in the Information Systems Integration

    Štuller, Július

    Sofia : DATECS Publ, 1995 - (Popova, E.; Markov, S.; Ullrich, C.). s. 77 ISBN 954-613-005-2. [BIOMATH'95. International Symposium and Young Scientists School on Mathematical Modelling and Information Systems in the Biology, Ecology and Medicine. 23.08.1995-27.08.1995, Sofia] Grant ostatní: COPERNICUS(XE) MUM-10053 Keywords : integration of databases * inconsistency resolution

  18. Integrated plant information technology design support functionality

    This technical report was written as a result of Integrated Plant Information System (IPIS) feasibility study on CANDU 9 project which had been carried out from January, 1994 to March, 1994 at AECL (Atomic Energy Canada Limited) in Canada. From 1987, AECL had done endeavour to change engineering work process from paper based work process to computer based work process through CANDU 3 project. Even though AECL had a lot of good results form computerizing the Process Engineering, Instrumentation Control and Electrical Engineering, Mechanical Engineering, Computer Aided Design and Drafting, and Document Management System, but there remains the problem of information isolation and integration. On this feasibility study, IPIS design support functionality guideline was suggested by evaluating current AECL CAE tools, analyzing computer aided engineering task and work flow, investigating request for implementing integrated computer aided engineering and describing Korean request for future CANDU design including CANDU 9. 6 figs. (Author)

  19. Neurodynamics analysis of brain information transmission

    Ru-bin WANG; Zhi-kang ZHANG; Chi K. Tse


    This paper proposes a model of neural networks consisting of populations of perceptive neurons, inter-neurons, and motor neurons according to the theory of stochastic phase resetting dynamics. According to this model, the dynamical characteristics of neural networks are studied in three coupling cases, namely, series and parallel coupling, series coupling, and unilateral coupling. The results show that the indentified structure of neural networks enables the basic characteristics of neural information processing to be described in terms of the actions of both the optional motor and the reflected motor. The excitation of local neural networks is caused by the action of the optional motor. In particular, the excitation of the neural population caused by the action of the optional motor in the motor cortex is larger than that caused by the action of the reflected motor. This phenomenon indicates that there are more neurons participating in the neural information processing and the excited synchronization motion under the action of the optional motor.

  20. The brain and somatic integration: insights into the standard biological rationale for equating "brain death" with death.

    Shewmon, A D


    The mainstream rationale for equating "brain death" (BD) with death is that the brain confers integrative unity upon the body, transforming it from a mere collection of organs and tissues to an "organism as a whole." In support of this conclusion, the impressive list of the brain's myriad integrative functions is often cited. Upon closer examination, and after operational definition of terms, however, one discovers that most integrative functions of the brain are actually not somatically integrating, and, conversely, most integrative functions of the body are not brain-mediated. With respect to organism-level vitality, the brain's role is more modulatory than constitutive, enhancing the quality and survival potential of a presupposedly living organism. Integrative unity of a complex organism is an inherently nonlocalizable, holistic feature involving the mutual interaction among all the parts, not a top-down coordination imposed by one part upon a passive multiplicity of other parts. Loss of somatic integrative unity is not a physiologically tenable rationale for equating BD with death of the organism as a whole. PMID:11588655

  1. Identification of Differentially Expressed Genes through Integrated Study of Alzheimer’s Disease Affected Brain Regions

    Berretta, Regina; Moscato, Pablo


    Background Alzheimer’s disease (AD) is the most common form of dementia in older adults that damages the brain and results in impaired memory, thinking and behaviour. The identification of differentially expressed genes and related pathways among affected brain regions can provide more information on the mechanisms of AD. In the past decade, several studies have reported many genes that are associated with AD. This wealth of information has become difficult to follow and interpret as most of the results are conflicting. In that case, it is worth doing an integrated study of multiple datasets that helps to increase the total number of samples and the statistical power in detecting biomarkers. In this study, we present an integrated analysis of five different brain region datasets and introduce new genes that warrant further investigation. Methods The aim of our study is to apply a novel combinatorial optimisation based meta-analysis approach to identify differentially expressed genes that are associated to AD across brain regions. In this study, microarray gene expression data from 161 samples (74 non-demented controls, 87 AD) from the Entorhinal Cortex (EC), Hippocampus (HIP), Middle temporal gyrus (MTG), Posterior cingulate cortex (PC), Superior frontal gyrus (SFG) and visual cortex (VCX) brain regions were integrated and analysed using our method. The results are then compared to two popular meta-analysis methods, RankProd and GeneMeta, and to what can be obtained by analysing the individual datasets. Results We find genes related with AD that are consistent with existing studies, and new candidate genes not previously related with AD. Our study confirms the up-regualtion of INFAR2 and PTMA along with the down regulation of GPHN, RAB2A, PSMD14 and FGF. Novel genes PSMB2, WNK1, RPL15, SEMA4C, RWDD2A and LARGE are found to be differentially expressed across all brain regions. Further investigation on these genes may provide new insights into the development of AD

  2. Read My Lips: Brain Dynamics Associated with Audiovisual Integration and Deviance Detection.

    Tse, Chun-Yu; Gratton, Gabriele; Garnsey, Susan M; Novak, Michael A; Fabiani, Monica


    Information from different modalities is initially processed in different brain areas, yet real-world perception often requires the integration of multisensory signals into a single percept. An example is the McGurk effect, in which people viewing a speaker whose lip movements do not match the utterance perceive the spoken sounds incorrectly, hearing them as more similar to those signaled by the visual rather than the auditory input. This indicates that audiovisual integration is important for generating the phoneme percept. Here we asked when and where the audiovisual integration process occurs, providing spatial and temporal boundaries for the processes generating phoneme perception. Specifically, we wanted to separate audiovisual integration from other processes, such as simple deviance detection. Building on previous work employing ERPs, we used an oddball paradigm in which task-irrelevant audiovisually deviant stimuli were embedded in strings of non-deviant stimuli. We also recorded the event-related optical signal, an imaging method combining spatial and temporal resolution, to investigate the time course and neuroanatomical substrate of audiovisual integration. We found that audiovisual deviants elicit a short duration response in the middle/superior temporal gyrus, whereas audiovisual integration elicits a more extended response involving also inferior frontal and occipital regions. Interactions between audiovisual integration and deviance detection processes were observed in the posterior/superior temporal gyrus. These data suggest that dynamic interactions between inferior frontal cortex and sensory regions play a significant role in multimodal integration. PMID:25848682

  3. Dyslipidemia and Blood-Brain Barrier Integrity in Alzheimer's Disease

    Gene L. Bowman


    Full Text Available Background. Blood-brain barrier (BBB dysfunction may have a significant role in the pathogenesis of Alzheimer's disease (AD. Modifiable factors associated with BBB function may have therapeutic implication. This study tested the hypothesis that dyslipidemia is associated with BBB impairment in mild-to-moderate AD. Methods. Thirty-six subjects with AD were followed for 1 year. Fasting CSF and plasma were collected with clinical assessments at baseline and 12 months. BBB impairment was defined as CSF albumin index ≥9. Independent t-tests and linear regression assessed the relationship between plasma lipoproteins and BBB integrity. Results. Dyslipidemia was prevalent in 47% of the population, and in 75% of those with BBB impairment. Subjects with BBB impairment had significantly higher mean plasma triglyceride and lower HDL cholesterol (TG, P=0.007; HDL, P=0.043. Plasma triglycerides explained 22% of the variance in BBB integrity and remained significant after controlling for age, gender, ApoE-4 genotype, blood pressure, and statin use. Conclusion. Dyslipidemia is more prevalent in AD subjects with BBB impairment. Plasma triglyceride and HDL cholesterol may have a role in maintaining BBB integrity in mild-to-moderate Alzheimer's disease.

  4. Integrating information literacy across a BSN curriculum.

    Flood, Lisa Sue; Gasiewicz, Nanci; Delpier, Terry


    Although research regarding effective informatics teaching strategies is sparse and informatics competencies have not yet been finalized, nurse educators have been challenged to include informatics throughout the curriculum. Nurse educators are confronted with how best to incorporate informatics into an already burgeoning curriculum. This article offers a systematic approach to incorporating information literacy, a vital component of informatics, across a baccalaureate of science in nursing curriculum. Motivated by the Institute of Medicine report, guided by the initial Technology Informatics Guiding Education Reform competency framework, and using the specific Quality and Safety Education for Nurses informatics competencies, the proposed integrated approach emphasizes clinical applications. The five assignments are designed to incrementally increase students' abilities to recognize the need for information (i.e., knowledge); advance students' abilities to locate, evaluate, and use information (i.e., skills); and foster a positive appreciation for information literacy (i.e., attitudes) when planning safe, effective patient care. PMID:19877568

  5. Integrated image information management: research issues

    Mehrotra, Rajiv; Pierson, William E., Jr.


    A vast number of applications including defense, medical, manufacturing, law enforcement, digital library, education, space exploration, weather forecasting, and entertainment require efficient management of huge collections of nonalphanumeric data. The most common and important nonalphanumeric data in most of these applications is image data. Owing to the availability of a variety of visual sensors, several large collections of images and related anciliary data exists and are rapidly growing. Examples of such collections include LANDSAT, weather, medical, and DoD target signature images. Unfortunately, in most cases only a fraction of the collected data is ever utilized to its full potential. The primary reason for this under-utilization is the lack of pictorial data management techniques/systems. Conventional data management systems are not designed to handle pictorial data in an integrated fashion, i.e., images and alphanumeric data are not treated equally. In such systems, an image is stored as a tag field in the description of some entity. Images are not entities and they cannot be key fields. Furthermore, content-based retrieval of images and related data is not possible. Therefore, new data management technologies need to be developed for an integrated management of textual and imagery data. This requires a clear understanding of the requirements and desireable characteristics of a pictorial data management system. In almost all image information management (or integrated image database) applications, image information modeling, content-based image information retrieval, and memeory management are the most important issues to be resolved. In this paper, the requirements of an integrated image information management system and the challenges posed by image data from the data modeling, the content-based retrieval, and the memory management viewpoints are discussed.

  6. The Integrated Burn Information System - Microbiology Module

    McManus, A T; Henderson, J. R.


    Infection is the most common serious complication occurring in hospitalized burn patients. Since this institute was established more than 35 years ago, the Microbiology section has provided direct clinical microbiology support and has collected epidemiological and historical data concerning the identification, incidence and treatment of infections in burn patients. With the availability of a centralized computer facility, microbiology data were added to the integrated burn information system,...

  7. Integrated Engineering Information Technology, FY93 accommplishments

    Harris, R.N.; Miller, D.K.; Neugebauer, G.L.; Orona, J.R.; Partridge, R.A.; Herman, J.D.


    The Integrated Engineering Information Technology (IEIT) project is providing a comprehensive, easy-to-use computer network solution or communicating with coworkers both inside and outside Sandia National Laboratories. IEIT capabilities include computer networking, electronic mail, mechanical design, and data management. These network-based tools have one fundamental purpose: to help create a concurrent engineering environment that will enable Sandia organizations to excel in today`s increasingly competitive business environment.

  8. Blood-Brain Barrier Integrity and Breast Cancer Metastasis to the Brain

    Hava Karsenty Avraham; Shalom Avraham; Christopher Sy; Lili Wang; Farheen Arshad


    Brain metastasis, an important cause of cancer morbidity and mortality, occurs in at least 30% of patients with breast cancer. A key event of brain metastasis is the migration of cancer cells through the blood-brain barrier (BBB). Although preventing brain metastasis is immensely important for survival, very little is known about the early stage of transmigration and the molecular mechanisms of breast tumor cells penetrating the BBB. The brain endothelium plays an important role in brain meta...

  9. Brain Tumor Detection Based on Bilateral Symmetry Information

    Narkhede Sachin,


    Full Text Available Advances in computing technology have allowed researchers across many fields of endeavor to collect and maintain vast amounts of observational statistical data such as clinical data, biological patient data, data regarding access of web sites , financial data, and the like. Brain Magnetic Resonance Imaging (MRI segmentation is a complex problem in the field of medical imaging despite various presented methods. MR image of human brain can be divided into several sub-regions especially soft tissues such as gray matter, white matter and cerebrospinal fluid. Although edge information is the main clue in image segmentation, it can’t get a better result in analysis the content of images without combining other information. The segmentation of brain tissue in the magnetic resonance imaging (MRI is very important for detecting the existence and outlines of tumors. In this thesis , an algorithm about segmentation based on the symmetry character of brain MRI image is presented. Our goal is to detect the position and boundary of tumors automatically. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.

  10. Integrated Information System for Higher Education Qualifications

    Catalin Ionut SILVESTRU


    Full Text Available In the present article we aim to study thoroughly and detail aspects related to architectures specific for e-learning and management of human resources training interconnected to management of qualifications. In addition, we take into consideration combining e-learning architectures with software in an e-learning system interconnected with the National Registry of Qualifications of Higher Education, in view of developing and information system that correlates educational supply from higher education from Romania with labor market demands through qualifications. The scientific endeavor consists of original architectural solutions to integrate data, systems, processes, services from various sources and to use them in the proposed system. The practical result of the scientific endeavor is represented by design of architectures required for developing an e-learning system interconnected with the National Registry of Qualifications from Romania, which involve in first stage the qualifications provided by higher education. The proposed innovative solution consists in the fact that the proposed information system combines the advantages of content management system (CMS with learning content management system (LCMS and with reusable learning objects (RLO. Thus, the architecture proposed in the research ensures the integration of a content management system with a portal for information, guidance and support in making a professional project. The integration enables correlation of competences with content areas and specific items from various teaching subjects, thus evaluating the usefulness for this registry from learning/educational perspective. Using the proposed information system in enables correlation among qualifications, content of educational program and continuous self-evaluation opportunities, which facilitate monitoring of progress and adjustment of learning content.

  11. Information flow and work productivity through integrated information technology

    Wigand, R. T.


    The work environment surrounding integrated office systems is reviewed. The known effects of automated office technologies is synthesized and their known impact on work efficiency is reviewed. These effects are explored with regard to their impact on networks, work flow/processes, as well as organizational structure and power. Particular emphasis is given to structural changes due to the introduction of newer information technologies in organizations. The new information technologies have restructed the average organization's middle banks and, as a consequence, they have shrunk drastically. Organizational pyramids have flattened with fewer levels since executives have realized that they can get ahold of the needed information via the new technologies quicker and directly and do not have to rely on middle-level managers. Power shifts are typically accompanied with the introduction of these technologies resulting in the generation of a new form of organizational power.

  12. The BRAIN Initiative Provides a Unifying Context for Integrating Core STEM Competencies into a Neurobiology Course

    Schaefer, Jennifer E.


    The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative introduced by the Obama Administration in 2013 presents a context for integrating many STEM competencies into undergraduate neuroscience coursework. The BRAIN Initiative core principles overlap with core STEM competencies identified by the AAAS Vision and Change report and other entities. This neurobiology course utilizes the BRAIN Initiative to serve as the unifying theme that facilitates a primary emphasis ...

  13. Cognitive information processing and learning mechanisms of the brain.

    Majovski, L V; Jacques, S


    The view that the two cerebral hemispheres of the human brain are characterized by different cognitive processing modes that handle information received in various forms is commonly accepted by neurobehavioral scientists and neuropsychologists. Selected neuroanatomical, electrophysiological, neurochemical, biochemical, and neuropsychological data that bear on a cognitive information-processing model of the brain are presented. Processes involved in memory functions are discussed in regard to the nature of thought and the characteristics of mental life, e.g., internalization of thought, perception, arousal, attention, cognitive development, problem solving, the development of cognitive encoding, and selective recall. We present a position that argues for the brain as being flexible vs. fixed in its characteristics and limitations, drawing from various theories and viewpoints. We also present a review of selected mechanisms believed to be involved in brain-behavior processes, e.g., learning, cognition, pain, emotion, reward, cognitive development, and memory formation. A major theme addressed in terms of human information processing is that cognitive functioning, in a variety of instances, comprises subsets of more general processes, e.g., selective recall, cueing that is capable of addressing schemas, notions of inhibition and disinhibition, and the modulation of excitatory properties of certain neural transmitter substances. Questions such as "how is information stored in memory in the first place?" and "how do elements of motivation (i.e., goal orientation) get connected and then send their messages to appropriate inbound behaviors?" are addressed from the point of view that learning, although not understood completely, is somehow involved. Another unresolved question of theoretical and practical significance that we address is "how does learning result in neural connections?" Such questions are discussed in light of their implications for human memory, thought

  14. Integrated environmental monitoring and information system

    The concept of the environmental monitoring within the territory of the Slovak Republic and the concept of the integrated environmental information system of the Slovak Republic were accepted and confirmed by the Government Order No. 449/1992. The state monitoring system covering the whole territory of Slovakia is the most important and consists of 13 Partial Monitoring Systems (PMSs). List of PMSs is included. The listed PMSs are managed according to the concept of the Sectoral Information System (SIS) of the Ministry of the Environment of the Slovak Republic (MESR) which was established by the National Council Act No. 261/1995 Coll. on the SIS. The SIS consists of 18 subsystems which are listed. The overviews of budget of PMSs as well as of environmental publications and periodicals of the MESR are included


    Botezatu Cornelia Paulina; Carutasu George; Botezatu Cezar


    Developing an information system integration strategy, at enterprise level is one of the most difficult issues that the information systems managers must solve, within the present conditions. When settling the integration strategy, two aspects must mainly be taken into account: assuring a complete integration solution of the information systems and building an integration infrastructure of the applications. The present paper aims at presenting few aspects regarding the integration of the info...

  16. The digital bee brain: integrating and managing neurons in a common 3D reference system

    Jürgen Rybak


    Full Text Available The honeybee standard brain (HSB serves as an interactive tool for relating morphologies of bee brain neurons and provides a reference system for functional and bibliographical properties ( The ultimate goal is to document not only the morphological network properties of neurons collected from separate brains, but also to establish a graphical user interface for a neuron-related data base. Here, we review the current methods and protocols used to incorporate neuronal reconstructions into the HSB. Our registration protocol consists of two separate steps applied to imaging data from two-channel confocal microscopy scans: (1 The reconstruction of the neuron, facilitated by an automatic extraction of the neuron’s skeleton based on threshold segmentation, and (2 the semi-automatic 3D segmentation of the neuropils and their registration with the HSB. The integration of neurons in the HSB is performed by applying the transformation computed in step (2 to the reconstructed neurons of step (1. The most critical issue of this protocol in terms of user interaction time – the segmentation process – is drastically improved by the use of a model-based segmentation process. Furthermore, the underlying statistical shape models (SSM allow the visualization and analysis of characteristic variations in large sets of bee brain data. The anatomy of neural networks composed of multiple neurons that are registered into the HSB are visualized by depicting the 3D reconstructions together with semantic information with the objective to integrate data from multiple sources (electrophysiology, imaging, immunocytochemistry, molecular biology. Ultimately, this will allow the user to specify cell types and retrieve their morphologies along with physiological characterizations.

  17. Exploiting temporal information in functional magnetic resonance imaging brain data.

    Zhang, Lei; Samaras, Dimitris; Tomasi, Dardo; Alia-Klein, Nelly; Cottone, Lisa; Leskovjan, Andreana; Volkow, Nora; Goldstein, Rita


    Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data analysis methods. In this paper, we contribute a comprehensive framework for spatial and temporal exploration of fMRI data, and apply it to a challenging case study: separating drug addicted subjects from healthy non-drug-using controls. To our knowledge, this is the first time that learning on fMRI data is performed explicitly on temporal information for classification in such applications. Experimental results demonstrate that, by selecting discriminative features, group classification can be successfully performed on our case study although training data are exceptionally high dimensional, sparse and noisy fMRI sequences. The classification performance can be significantly improved by incorporating temporal information into machine learning. Both statistical and neuroscientific validation of the method's generalization ability are provided. We demonstrate that incorporation of computer science principles into functional neuroimaging clinical studies, facilitates deduction about the behavioral probes from the brain activation data, thus providing a valid tool that incorporates objective brain imaging data into clinical classification of psychopathologies and identification of genetic vulnerabilities. PMID:16685905

  18. The Center for Integrated Molecular Brain Imaging (Cimbi) database.

    Knudsen, Gitte M; Jensen, Peter S; Erritzoe, David; Baaré, William F C; Ettrup, Anders; Fisher, Patrick M; Gillings, Nic; Hansen, Hanne D; Hansen, Lars Kai; Hasselbalch, Steen G; Henningsson, Susanne; Herth, Matthias M; Holst, Klaus K; Iversen, Pernille; Kessing, Lars V; Macoveanu, Julian; Madsen, Kathrine Skak; Mortensen, Erik L; Nielsen, Finn Årup; Paulson, Olaf B; Siebner, Hartwig R; Stenbæk, Dea S; Svarer, Claus; Jernigan, Terry L; Strother, Stephen C; Frokjaer, Vibe G


    We here describe a multimodality neuroimaging containing data from healthy volunteers and patients, acquired within the Lundbeck Foundation Center for Integrated Molecular Brain Imaging (Cimbi) in Copenhagen, Denmark. The data is of particular relevance for neurobiological research questions related to the serotonergic transmitter system with its normative data on the serotonergic subtype receptors 5-HT1A, 5-HT1B, 5-HT2A, and 5-HT4 and the 5-HT transporter (5-HTT), but can easily serve other purposes. The Cimbi database and Cimbi biobank were formally established in 2008 with the purpose to store the wealth of Cimbi-acquired data in a highly structured and standardized manner in accordance with the regulations issued by the Danish Data Protection Agency as well as to provide a quality-controlled resource for future hypothesis-generating and hypothesis-driven studies. The Cimbi database currently comprises a total of 1100 PET and 1000 structural and functional MRI scans and it holds a multitude of additional data, such as genetic and biochemical data, and scores from 17 self-reported questionnaires and from 11 neuropsychological paper/computer tests. The database associated Cimbi biobank currently contains blood and in some instances saliva samples from about 500 healthy volunteers and 300 patients with e.g., major depression, dementia, substance abuse, obesity, and impulsive aggression. Data continue to be added to the Cimbi database and biobank. PMID:25891375

  19. Phenotypic integration of brain size and head morphology in Lake Tanganyika Cichlids

    Tsuboi, Masahito; González-Voyer, Alejandro; Kolm, N.


    Abstract Background Phenotypic integration among different anatomical parts of the head is a common phenomenon across vertebrates. Interestingly, despite centuries of research into the factors that contribute to the existing variation in brain size among vertebrates, little is known about the role of phenotypic integration in brain size diversification. Here we used geometric morphometrics on the morphologically diverse Tanganyikan cichlids to investigate phenotypic integration across key mor...

  20. Reduced Predictable Information in Brain Signals in Autism Spectrum Disorder

    Carlos eGomez


    Full Text Available Autism spectrum disorder (ASD is a common developmental disorder characterized by communication difficulties and impaired social interaction. Recent results suggest altered brain dynamics as a potential cause of symptoms in ASD. Here, we aim to describe potential information-processing consequences of these alterations by measuring active information storage (AIS – a key quantity in the theory of distributed computation in biological networks. AIS is defined as the mutual information between the semi-infinite past of a process and its next state. It measures the amount of stored information that is used for computation of the next time step of a process. AIS is high for rich but predictable dynamics. We recorded magnetoencephalography (MEG signals in 13 ASD patients and 14 matched control subjects in a visual task. After a beamformer source analysis, twelve task-relevant sources were obtained. For these sources, stationary baseline activity was analyzed using AIS. Our results showed a decrease of AIS values in the hippocampus of ASD patients in comparison with controls, meaning that brain signals in ASD were either less predictable, reduced in their dynamic richness or both. Our study suggests the usefulness of AIS to detect an abnormal type of dynamics in ASD. The observed changes in AIS are compatible with Bayesian theories of reduced use or precision of priors in ASD.

  1. An integrative view on sex differences in brain tumors

    Sun, Tao; Plutynski, Anya; Ward, Stacey; Rubin, Joshua B.


    Sex differences in human health and disease can range from undetectable to profound. Differences in brain tumor rates and outcome are evident in males and females throughout the world and regardless of age. These observations indicate that fundamental aspects of sex determination can impact the biology of brain tumors. It is likely that optimal personalized approaches to the treatment of male and female brain tumor patients will require recognizing and understanding the ways in which the biol...

  2. Androgen modulation of social decision making mechanisms in the brain: an integrative and embodied perspective

    Rui F Oliveira


    Full Text Available Apart from their role in reproduction androgens also respond to social challenges and this response has been seen as a way to regulate the expression of behaviour according to the perceived social environment (Challenge hypothesis, Wingfield et al. 1990. This hypothesis implies that social decision-making mechanisms localized in the central nervous system (CNS are open to the influence of peripheral hormones that ultimately are under the control of the CNS through the hypothalamic-pituitary-gonadal axis. Therefore, two puzzling questions emerge at two different levels of biological analysis: (1 Why does the brain, which perceives the social environment and regulates androgen production in the gonad, need feedback information from the gonad to adjust its social decision-making processes? (2 How does the brain regulate gonadal androgen responses to social challenges and how do these feedback into the brain? In this paper, we will address these two questions using the integrative approach proposed by Niko Tinbergen, who proposed that a full understanding of behaviour requires its analysis at both proximate (physiology, ontogeny and ultimate (ecology, evolution levels.

  3. Three-dimensional visualization of functional brain tissue and functional magnetic resonance imaging-integrated neuronavigation in the resection of brain tumor adjacent to motor cortex

    Objective: To assess the value of three -dimensional visualization of functional brain tissue and the functional magnetic resonance imaging (fMRI)-integrated neuronavigation in the resection of brain tumor adjacent to motor cortex. Method: Sixty patients with tumor located in the central sulcus were enrolled. Thirty patients were randomly assigned to function group and 30 to control group. Patients in function group underwent fMRI to localize the functional brain tissues. Then the function information was transferred to the neurosurgical navigator. The patients in control group underwent surgery with navigation without function information. The therapeutic effect, excision rate. improvement of motor function, and survival quality during follow-up were analyzed. Result: All patients in function group were accomplished visualization of functional brain tissues and fMRI-integrated neuronavigation. The locations of tumors, central sulcus and motor cortex were marked during the operation. The fMRI -integrated information played a great role in both pre- and post-operation. Pre-operation: designing the location of the skin flap and window bone, determining the relationship between the tumor and motor cortex, and designing the pathway for the resection. Post- operation: real-time navigation of relationship between the tumor and motor cortex, assisting to localize the motor cortex using interoperation ultra-sound for correcting the displacement by the CSF outflow and collapsing tumor. The patients in the function group had better results than the patients in the control group in therapeutic effect (u=2.646, P=0.008), excision rate (χ=7.200, P<0.01), improvement of motor function (u=2.231, P=0.026), and survival quality (KPS uc= 2.664, P=0.008; Zubrod -ECOG -WHO uc=2.135, P=0.033). Conclusions: Using preoperative three -dimensional visualization of cerebral function tissue and the fMRI-integrated neuronavigation technology, combining intraoperative accurate positioning

  4. Information retrieval for intelligent information integration in nuclear power plant

    The present study aimed at investigating functional requirements for information retrieval method to develop integrated information management for nuclear power plant and also aimed at developing a prototype system based on the extracted requirements. Among several requirements for supporting intelligent activities of plant operators, the focus has been set on the support function for effective retrieval from stored database, which is consistent with the cognitive process of operators. The functions of the quick wave form search based on partial similarity and of the data search based on hierarchically defined attributes have been realized with the man-machine interface for practical use. As for the quick wave form search based on partial similarity, the validity of this method has been evaluated through the numerical experiments for searching artificially induced wave form simulating signal anomalies. As for the data search based on hierarchically defined attributes, the validity of the proposed system has been shown through the process of possible user and system interaction for anomaly detection and retrospective analysis when some anomalies arise in terms of frequency characteristics in a specific frequency band. (author)


    Igor Milanovic; Miladin Stefanovic; Zora Arsovski; Dragana Rejman Petrovic; Vladimir Rankovic; Zoran Kalinic


    In recent years information integration became significant problem for both natural and legal persons in everyday operations. Huge amount of information are available, but insufficiently processed in order to have useful value. Choosing the right combination of tools and technologies for integration is prerequisite for requiring information from multiple heterogeneous sources and their qualitative and simple using after.In this paper, we have focused on information integration within companie...

  6. Allostasis and the Human Brain: Integrating Models of Stress from the Social and Life Sciences

    Ganzel, Barbara L.; Morris, Pamela A.; Wethington, Elaine


    We draw on the theory of allostasis to develop an integrative model of the current stress process that highlights the brain as a dynamically adapting interface between the changing environment and the biological self. We review evidence that the core emotional regions of the brain constitute the primary mediator of the well-established association…

  7. Concurrent Engineering Oriented CAx/DFx Information Integration


    The information integration, especially in CAD/CAPP/CAM, is a basis for realizing the integrated and concurrent product development in Concurrent Engineering (CE) environment. The integration technology based on STEP application protocol gives an effective way for the CAx/DFx information integration. This paper discusses the characteristics of concurrent product development, analyzes the methodology and technology of STEP, proposes an information integration approach based on STEP AP214, and presents the strategy of product data integration and an integration system implementation architecture. The integration technology based on STEP application protocol and the ST-Developer tools is realized in a prototype system to support product data integration between CAD and its follow-up systems through STEP physical file and STEP information exchange interface.

  8. A Model for Information Integration Using Service Oriented Architectur

    C. Punitha Devi


    Full Text Available Business agility remains to be the keyword that drives the business into different directions and enabling a 360 degree shift in the business process. To achieve agility the organization should work on real time information and data. The need to have instant access to information appears to be ever shine requirement of all organizations or enterprise. Access to information does not come directly with a single query but a complex process termed Information integration. Information integration has been in existence for the past two decades and has been progressive up to now. The challenges and issues keep on persisting as information integration problem evolves by itself. This paper addresses the issues in the approaches, techniques and models pertaining to information integration and identifies the problem for a need for a complete model. As SOA is the architectural style that is changing the business patterns today, this paper proposes a service oriented model for information integration. The model mainly focuses on giving a complete structure for information integration that is adaptable to any environment and open in nature. Here information is converted into service and then the information services are integrated through service oriented integration to provide the integrated information also as service.

  9. Effects of visual working memory on brain information processing of irrelevant auditory stimuli.

    Jiagui Qu

    Full Text Available Selective attention has traditionally been viewed as a sensory processing modulator that promotes cognitive processing efficiency by favoring relevant stimuli while inhibiting irrelevant stimuli. However, the cross-modal processing of irrelevant information during working memory (WM has been rarely investigated. In this study, the modulation of irrelevant auditory information by the brain during a visual WM task was investigated. The N100 auditory evoked potential (N100-AEP following an auditory click was used to evaluate the selective attention to auditory stimulus during WM processing and at rest. N100-AEP amplitudes were found to be significantly affected in the left-prefrontal, mid-prefrontal, right-prefrontal, left-frontal, and mid-frontal regions while performing a high WM load task. In contrast, no significant differences were found between N100-AEP amplitudes in WM states and rest states under a low WM load task in all recorded brain regions. Furthermore, no differences were found between the time latencies of N100-AEP troughs in WM states and rest states while performing either the high or low WM load task. These findings suggested that the prefrontal cortex (PFC may integrate information from different sensory channels to protect perceptual integrity during cognitive processing.

  10. Integration of ultra-high field MRI and histology for connectome based research of brain disorders

    Shan eYang


    Full Text Available Ultra-high field magnetic resonance imaging (MRI became increasingly relevant for in vivo neuroscientific research because of improved spatial resolutions. However, this is still the unchallenged domain of histological studies, which long played an important role in the investigation of neuropsychiatric disorders. While the field of biological psychiatry strongly advanced on macroscopic levels, current developments are rediscovering the richness of immunohistological information when attempting a multi-level systematic approach to brain function and dysfunction. For most studies, histology sections lost information on three-dimensional reconstructions. Translating histological sections to 3D-volumes would thus not only allow for multi-stain and multi-subject alignment in post mortem data, but also provide a crucial step in big data initiatives involving the network analyses currently performed with in vivo MRI. We therefore investigated potential pitfalls during integration of MR and histological information where no additional blockface information is available. We demonstrated that strengths and requirements from both methods seem to be ideally merged at a spatial resolution of 200 μm. However, the success of this approach is heavily dependent on choices of hardware, sequence and reconstruction. We provide a fully automated pipeline that optimizes histological 3D reconstructions, providing a potentially powerful solution not only for primary human post mortem research institutions in neuropsychiatric research, but also to help alleviate the massive workloads in neuroanatomical atlas initiatives. We further demonstrate (for the first time the feasibility and quality of ultra-high spatial resolution (150 µm isotopic imaging of the entire human brain MRI at 7T, offering new opportunities for analyses on MR-derived information.

  11. Integration of GIS and multimedia information based on ORDBMS

    Quanbing HE; Fei WANG; Chao CHEN


    GIS not includes only spatial data and attribute data, but also multimedia information. How to integrate and manage these data effectively is very important. With the development of the technology of Object-Relation DBMS (ORDBMS), it improved the capability of managing complicated information. With ORDBMS, GIS and multimedia information can be integrated together and can speed accessing files by using "buffer".

  12. The Information Dimension of Inter-organizational Integration

    Semeijn, M.; Heng, S.H.; Derksen, F.E.J.M.


    An important question in business partnership is the issue of information - the gathering, supply and use of information and what kind of information in order to promote a successful partnership. This paper examines the problems that arise in a major form of partnership, namely integration, and the use of information to cope with the problems. We examine the types of information needed in inter-organizational integration, based on unstructured interviews. The problems identified by the interv...


    Hladky, D.; Maltseva, S.


    Data integration in enterprises is a crucial but at the same time costly and challenging problem. While business-critical information is stored in ERP, CRM, SCM and in Content Management systems the integration of such becomes even more critical when integrating with the growing information space on the Web. The IT industry has developed over the last decade integration solutions based on Master Data Management, Business Intelligence and the Service Oriented Architecture. However, we become i...

  14. Integration of Hospital Information Systems, Operative and Peri-operative Information Systems, and Operative Equipment into a Single Information Display

    Meyer, Mark; Levine, Wilton C.; Brzezinski, Philip; Robbins, Jeffrey; Lai, Fuji; Spitz, Gabriel; Sandberg, Warren S.


    The integration of disparate information systems in the operative environment allows access to information that is typically unseen or unused. Through a collaborative effort, a variety of information systems and surgical equipment are being integrated. This provides improved context-sensitive information display and decision support and improved access to information to improve workflow, safety and visualization of information that was previously unattainable.

  15. Is functional integration of resting state brain networks an unspecific biomarker for working memory performance?

    Alavash, Mohsen; Doebler, Philipp; Holling, Heinz; Thiel, Christiane M; Gießing, Carsten


    Is there one optimal topology of functional brain networks at rest from which our cognitive performance would profit? Previous studies suggest that functional integration of resting state brain networks is an important biomarker for cognitive performance. However, it is still unknown whether higher network integration is an unspecific predictor for good cognitive performance or, alternatively, whether specific network organization during rest predicts only specific cognitive abilities. Here, we investigated the relationship between network integration at rest and cognitive performance using two tasks that measured different aspects of working memory; one task assessed visual-spatial and the other numerical working memory. Network clustering, modularity and efficiency were computed to capture network integration on different levels of network organization, and to statistically compare their correlations with the performance in each working memory test. The results revealed that each working memory aspect profits from a different resting state topology, and the tests showed significantly different correlations with each of the measures of network integration. While higher global network integration and modularity predicted significantly better performance in visual-spatial working memory, both measures showed no significant correlation with numerical working memory performance. In contrast, numerical working memory was superior in subjects with highly clustered brain networks, predominantly in the intraparietal sulcus, a core brain region of the working memory network. Our findings suggest that a specific balance between local and global functional integration of resting state brain networks facilitates special aspects of cognitive performance. In the context of working memory, while visual-spatial performance is facilitated by globally integrated functional resting state brain networks, numerical working memory profits from increased capacities for local processing

  16. Novel theory of the human brain: information-commutation basis of architecture and principles of operation

    Bryukhovetskiy AS


    Full Text Available Andrey S Bryukhovetskiy Center for Biomedical Technologies, Federal Research and Clinical Center for Specialized Types of Medical Assistance and Medical Technologies of the Federal Medical Biological Agency, NeuroVita Clinic of Interventional and Restorative Neurology and Therapy, Moscow, Russia Abstract: Based on the methodology of the informational approach and research of the genome, proteome, and complete transcriptome profiles of different cells in the nervous tissue of the human brain, the author proposes a new theory of information-commutation organization and architecture of the human brain which is an alternative to the conventional systemic connective morphofunctional paradigm of the brain framework. Informational principles of brain operation are defined: the modular principle, holographic principle, principle of systematicity of vertical commutative connection and complexity of horizontal commutative connection, regulatory principle, relay principle, modulation principle, “illumination” principle, principle of personalized memory and intellect, and principle of low energy consumption. The author demonstrates that the cortex functions only as a switchboard and router of information, while information is processed outside the nervous tissue of the brain in the intermeningeal space. The main structural element of information-commutation in the brain is not the neuron, but information-commutation modules that are subdivided into receiver modules, transmitter modules, and subscriber modules, forming a vertical architecture of nervous tissue in the brain as information lines and information channels, and a horizontal architecture as central, intermediate, and peripheral information-commutation platforms. Information in information-commutation modules is transferred by means of the carriers that are characteristic to the specific information level from inductome to genome, transcriptome, proteome, metabolome, secretome, and magnetome

  17. Integration of Neuropsychology in Educational Planning Following Traumatic Brain Injury

    Stavinoha, Peter L.


    Traumatic brain injuries (TBIs) have the potential to significantly disrupt a student's cognitive, academic, social, emotional, behavioral, and physical functioning. It is important for educators to appreciate the array of difficulties students with TBI may experience in order to appropriately assess needs and create an educational plan that…

  18. Brain Wave Biofeedback: Benefits of Integrating Neurofeedback in Counseling

    Myers, Jane E.; Young, J. Scott


    Consistent with the "2009 Standards" of the Council for Accreditation of Counseling and Related Educational Programs, counselors must understand neurobiological behavior in individuals of all developmental levels. This requires understanding the brain and strategies for applying neurobiological concepts in counseling practice, training, and…

  19. Environment, safety, and health information technology systems integration.

    Hendrickson, David A.; Bayer, Gregory W.


    The ES&H Information Systems department, motivated by the numerous isolated information technology systems under its control, undertook a significant integration effort. This effort was planned and executed over the course of several years and parts of it still continue today. The effect was to help move the ES&H Information Systems department toward integration with the corporate Information Solutions and Services center.

  20. A strategy for curriculum integration of information skills instruction.

    Burrows, S; Ginn, D S; Love, N; Williams, T L


    The ever increasing need of health professionals for information and the inclusion of active learning experiences in the medical school curriculum require that students learn the effective use of health information tools. Curriculum integration is gaining acceptance as an effective approach to teaching information skills in this setting. At the University of Miami School of Medicine, information skills components taught by library faculty are integrated into the Freshman Orientation Program a...


    Igor Milanovic


    Full Text Available In recent years information integration became significant problem for both natural and legal persons in everyday operations. Huge amount of information are available, but insufficiently processed in order to have useful value. Choosing the right combination of tools and technologies for integration is prerequisite for requiring information from multiple heterogeneous sources and their qualitative and simple using after.In this paper, we have focused on information integration within companies which are parts of supply chain or network. This environment typically includes a various mix of sources, structured (such as relational or other databases, and unstructured (such as document repositories, spreadsheets, documents, web pages, emails and others. Effective information integration and sharing significantly enhances supply chain practices. Service oriented architecture (SOA is an architectural style for building software applications that use services available in a network such as the web. The use of SOA to achieve inter-enterprise supply network information integration has many advantages.

  2. Automatic segmentation of meningioma from non-contrasted brain MRI integrating fuzzy clustering and region growing

    Liao Chun-Chih


    Full Text Available Abstract Background In recent years, magnetic resonance imaging (MRI has become important in brain tumor diagnosis. Using this modality, physicians can locate specific pathologies by analyzing differences in tissue character presented in different types of MR images. This paper uses an algorithm integrating fuzzy-c-mean (FCM and region growing techniques for automated tumor image segmentation from patients with menigioma. Only non-contrasted T1 and T2 -weighted MR images are included in the analysis. The study's aims are to correctly locate tumors in the images, and to detect those situated in the midline position of the brain. Methods The study used non-contrasted T1- and T2-weighted MR images from 29 patients with menigioma. After FCM clustering, 32 groups of images from each patient group were put through the region-growing procedure for pixels aggregation. Later, using knowledge-based information, the system selected tumor-containing images from these groups and merged them into one tumor image. An alternative semi-supervised method was added at this stage for comparison with the automatic method. Finally, the tumor image was optimized by a morphology operator. Results from automatic segmentation were compared to the "ground truth" (GT on a pixel level. Overall data were then evaluated using a quantified system. Results The quantified parameters, including the "percent match" (PM and "correlation ratio" (CR, suggested a high match between GT and the present study's system, as well as a fair level of correspondence. The results were compatible with those from other related studies. The system successfully detected all of the tumors situated at the midline of brain. Six cases failed in the automatic group. One also failed in the semi-supervised alternative. The remaining five cases presented noticeable edema inside the brain. In the 23 successful cases, the PM and CR values in the two groups were highly related. Conclusions Results indicated

  3. Perspectives on Integrated Academic Information Management Systems (IAIMS).

    Lunin, Lois F. (Ed.); Ball, Marion J. (Ed.)


    Various aspects of the Integrated Academic Information Management System (IAIMS) initiative sponsored by the National Library of Medicine are explored in 10 articles. An overview of the program, the technologies involved, examples of implementation, approaches to integrated information systems, and the future of the program are discussed. (CLB)

  4. LinkRbrain: Multi-scale data integrator of the brain

    Mesmoudi, Salma; Rodic, Mathieu; Cioli, Claudia; Cointet, Jean-Philippe; Yarkoni, Tal; Burnod, Yves


    International audience BackgroundLinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community.New methodThe linkRbrain platform has two major components: (1) a data aggregation component that integrates multiple open databases into a single platform with a unified representation; and (2) a website that provides fast multi-scale int...

  5. Brain

    ... will return after updating. Resources Archived Modules Updates Brain Cerebrum The cerebrum is the part of the ... the outside of the brain and spinal cord. Brain Stem The brain stem is the part of ...

  6. Brain fingerprinting classification concealed information test detects US Navy military medical information with P300

    Lawrence A. Farwell


    Full Text Available A classification concealed information test (CIT used the brain fingerprinting method of applying P300 event-related potential (ERP in detecting information that is 1 acquired in real life and 2 unique to US Navy experts in military medicine. Military medicine experts and non-experts were asked to push buttons in response to 3 types of text stimuli. Targets contain known information relevant to military medicine, are identified to subjects as relevant, and require pushing one button. Subjects are told to push another button to all other stimuli. Probes contain concealed information relevant to military medicine, and are not identified to subjects. Irrelevants contain equally plausible, but incorrect/irrelevant information. Error rate was 0%. Median and mean statistical confidences for individual determinations were 99.9% with no indeterminates (results lacking sufficiently high statistical confidence to be classified. We compared error rate and statistical confidence for determinations of both information present and information absent produced by classification CIT (Is a probe ERP more similar to a target or to an irrelevant ERP? versus comparison CIT (Does a probe produce a larger ERP than an irrelevant? using P300 plus the late negative component (LNP; together, P300-MERMER. Comparison CIT produced a significantly higher error rate (20% and lower statistical confidences -- mean 67%; information-absent mean was 28.9%, less than chance (50%. We compared analysis using P300 alone with the P300 + LNP. P300 alone produced the same 0% error rate but significantly lower statistical confidences. These findings add to the evidence that the brain fingerprinting methods as described here provide sufficient conditions to produce less than 1% error rate and greater than 95% median statistical confidence in a CIT on information obtained in the course of real life that is characteristic of individuals with specific training, expertise, or organizational

  7. Integrating some mind and brain views of transference: the phenomena.

    Levin, F M


    Because understanding the underpinnings of transferential learning allows the analyst to more effectively exploit transference in the clinical situation, as well as to advance psychoanalytic theory, the functions and mechanisms of transference phenomena in learning are subjected to an interdisciplinary analysis. Through transference the brain creates hierarchical databases that make emotional sense of the world, especially the world of human relationships. Transference plays a role in defense and resistance clinically; less explored but equally important is the adaptive potential of transference and its effect on an individual's readiness for structural change through the activation of working memory. Most investigators within psychoanalysis have not considered the importance of similarity judgments and memory priming, especially as these help to explain why transference and its proper handling are effective in treatment. Yet there are complex relationships among transference, similarity judgment, and memory priming that tie together psychoanalysis, cognitive psychology, and neurophysiology. Evidence increasingly suggests a relationship between transference and the transfer of knowledge between various content domains (databases) of mind and brain, which is essential to cognitive and emotional learning. There are indications as well that transference decisively facilitates learning readiness ("windows") in general by means of two of its components: free association and spontaneous (self-initiated) activity. The important question of which mind/brain mechanisms motivate transference is not yet understood comprehensively. However, Vygotsky's work on the zone of proximal development (ZPD), M.Stern's teleonomic theory, schema theory, and neural network theory offer further insights into what motivates transference. PMID:9474574

  8. Integration of Information Technologies in Enterprise Application Development

    Iulia SURUGIU


    Full Text Available Healthcare enterprises are disconnected. In the era of integrated information systems and Internet explosion, the necessity of information systems integration reside from business process evolution, on the one hand, and from information technology tendencies, on the other hand. In order to become more efficient and adaptive to change, healthcare organizations are tremendously preoccupied of business process automation, flexibility and complexity. The need of information systems integration arise from these goals, explaining, at the same time, the special interest in EAI. Extensible software integration architectures and business orientation of process modeling and information systems functionalities, the same as open-connectivity, accessibility and virtualization lead to most suitable integration solutions: SOA and BPM architectural styles in a cloud computing environment.

  9. Brain white matter integrity and cortisol in older men:the Lothian Birth Cohort 1936

    Cox, Simon R.; Bastin, Mark E; Ferguson, Karen J.; Munoz-Maniega, Susana; MacPherson, Sarah E.; Deary, Ian J; Wardlaw, Joanna M.; MacLullich, Alasdair M. J.


    Elevated glucocorticoid (GC) levels are hypothesized to be deleterious to some brain regions, including white matter (WM). Older age is accompanied by increased between-participant variation in GC levels, yet relationships between WM integrity and cortisol levels in older humans are underexplored. Moreover, it is unclear whether GC-WM associations might be general or pathway specific. We analyzed relationships between salivary cortisol (diurnal and reactive) and general measures of brain WM h...

  10. INEL Waste and Environmental Information Integration Project approach and concepts

    The Idaho National Engineering, Laboratory (INEL) Waste and Environmental Information integration Project (IWEIIP) was established in December 1993 to address issues related to INEL waste and environmental information including: Data quality; Data redundancy; Data accessibility; Data integration. This effort includes existing information, new development, and acquisition activities. Existing information may not be a database record; it may be an entire document (electronic, scanned, or hard-copy), a video clip, or a file cabinet of information. The IWEIIP will implement an effective integrated information framework to manage INEL waste and environmental information as an asset. This will improve data quality, resolve data redundancy, and increase data accessibility; therefore, providing more effective utilization of the dollars spent on waste and environmental information

  11. Legal Issues for an Integrated Information Center.

    Rees, Warren; And Others


    The ability to collect, store, retrieve, and combine information in computerized databases has magnified the potential for misuse of information. Laws have begun to deal with these new threats by expanding rights of privacy, copyright, misrepresentation, products liability, and defamation. Laws regarding computerized databases are certain to…

  12. The Dilution Effect and Information Integration in Perceptual Decision Making.

    Jared M Hotaling

    Full Text Available In cognitive science there is a seeming paradox: On the one hand, studies of human judgment and decision making have repeatedly shown that people systematically violate optimal behavior when integrating information from multiple sources. On the other hand, optimal models, often Bayesian, have been successful at accounting for information integration in fields such as categorization, memory, and perception. This apparent conflict could be due, in part, to different materials and designs that lead to differences in the nature of processing. Stimuli that require controlled integration of information, such as the quantitative or linguistic information (commonly found in judgment studies, may lead to suboptimal performance. In contrast, perceptual stimuli may lend themselves to automatic processing, resulting in integration that is closer to optimal. We tested this hypothesis with an experiment in which participants categorized faces based on resemblance to a family patriarch. The amount of evidence contained in the top and bottom halves of each test face was independently manipulated. These data allow us to investigate a canonical example of sub-optimal information integration from the judgment and decision making literature, the dilution effect. Splitting the top and bottom halves of a face, a manipulation meant to encourage controlled integration of information, produced farther from optimal behavior and larger dilution effects. The Multi-component Information Accumulation model, a hybrid optimal/averaging model of information integration, successfully accounts for key accuracy, response time, and dilution effects.

  13. The Dilution Effect and Information Integration in Perceptual Decision Making.

    Hotaling, Jared M; Cohen, Andrew L; Shiffrin, Richard M; Busemeyer, Jerome R


    In cognitive science there is a seeming paradox: On the one hand, studies of human judgment and decision making have repeatedly shown that people systematically violate optimal behavior when integrating information from multiple sources. On the other hand, optimal models, often Bayesian, have been successful at accounting for information integration in fields such as categorization, memory, and perception. This apparent conflict could be due, in part, to different materials and designs that lead to differences in the nature of processing. Stimuli that require controlled integration of information, such as the quantitative or linguistic information (commonly found in judgment studies), may lead to suboptimal performance. In contrast, perceptual stimuli may lend themselves to automatic processing, resulting in integration that is closer to optimal. We tested this hypothesis with an experiment in which participants categorized faces based on resemblance to a family patriarch. The amount of evidence contained in the top and bottom halves of each test face was independently manipulated. These data allow us to investigate a canonical example of sub-optimal information integration from the judgment and decision making literature, the dilution effect. Splitting the top and bottom halves of a face, a manipulation meant to encourage controlled integration of information, produced farther from optimal behavior and larger dilution effects. The Multi-component Information Accumulation model, a hybrid optimal/averaging model of information integration, successfully accounts for key accuracy, response time, and dilution effects. PMID:26406323

  14. Information Technologies and Supply Chain Integration

    Lemoine, W; Mortensen, Ole

    The goal of the Supply Chain Management process is to create value for customers, stakeholders and all supply chain members, through the integration of different processes like manufacturing flow management, customer service and order fulfillment. However, many firms fail in the path of achieving...

  15. Role-based Integration Method of Enterprise Information System

    YU Ming-hui; FEI Qi; CHEN Xue-guang


    This paper analyzes the current situation of enterprise information system and methods of system integration at first. Then a role-based analyzing method is proposed. It can help confirm the keystone of the construction of information system and the direction of system integration. At last, a case study on theintegration of material dispatching information system in a large-scale project is presented briefly. It shows that this new method is more effective than the others are.

  16. Academic Support through Information System : Srinivas Integrated Model

    Aithal, Sreeramana; Kumar, Suresh


    As part of imparting quality higher education for undergraduate and postgraduate students, Srinivas Institute of Management Studies (SIMS) developed an education service model for integrated academic support known as Srinivas Integrated Model. Backed by the presumption that knowledge is power and information is fundamental to knowledge building and knowledge sharing, this model is aimed to provide information support to students for improved academic performance. Information on the college...

  17. The informational mind and the information integration theory of consciousness

    Gamez, David


    According to Aleksander and Morton’s informational mind hypothesis, conscious minds are state structures that are created through iconic learning. Distributed representations of colors, edges, objects, etc. are linked with proprioceptive and motor information to generate the awareness of an out-there world. The uniqueness and indivisibility of these iconically learnt states reflect the uniqueness and indivisibility of the world. This article summarizes the key claims of the informational mind...

  18. Hearing facial identities: brain correlates of face--voice integration in person identification.

    Schweinberger, Stefan R; Kloth, Nadine; Robertson, David M C


    Audiovisual integration (AVI) is a well-known aspect of speech perception, but integration of facial and vocal information is also important for speaker recognition. We recently demonstrated AVI in the recognition of familiar (but not unfamiliar) speakers. Specifically, systematic behavioural benefits and costs in recognizing a familiar voice occur when the voice is combined with a time-synchronised articulating face of corresponding or noncorresponding speaker identity, respectively (Schweinberger et al., 2007; Robertson and Schweinberger, 2010). Here we report an experiment assessing event-related brain potentials (ERPs) in this novel paradigm, while participants recognized familiar speakers presented in (1) Voice only, (2) voice with identity-corresponding and (3) noncorresponding time-synchronised speaking faces, as well as (4) Face only conditions. Audiovisual speaker identity correspondence influenced only later ERPs around 250-600 msec, with increased negativity for noncorresponding identities at central electrodes. Strikingly, when compared with the ERPs from both unimodal conditions, both audiovisual conditions led to a much earlier onset of frontocentral negativity, with maximal differences around 50-80 msec. Moreover, audiovisual stimuli elicited larger N170 responses than Face only stimuli. These findings suggest that the perception of a voice and a time-synchronised articulating face triggers remarkably early and mandatory mechanisms of audiovisual processing, although the correspondence or discrepancy in audiovisual speaker identity may only be computed ∼200msec later. PMID:21208611

  19. Information Security Management - Part Of The Integrated Management System

    Manea, Constantin Adrian


    The international management standards allow their integrated approach, thereby combining aspects of particular importance to the activity of any organization, from the quality management systems or the environmental management of the information security systems or the business continuity management systems. Although there is no national or international regulation, nor a defined standard for the Integrated Management System, the need to implement an integrated system occurs within the organization, which feels the opportunity to integrate the management components into a cohesive system, in agreement with the purpose and mission publicly stated. The issues relating to information security in the organization, from the perspective of the management system, raise serious questions to any organization in the current context of electronic information, reason for which we consider not only appropriate but necessary to promote and implement an Integrated Management System Quality - Environment - Health and Operational Security - Information Security

  20. Ontologies in information integration within multimedia presentation generation

    Salas Enrech, J.


    Nowadays an enormous quantity of heterogeneous and distributed information is stored in the current World Wide Web. Sharing of different information sources is needed. Recently the word Semantic Web has become very popular. The Semantic Web provides a common framework that allows data to be shared and re-used through ontologies. Ontologies make information explicit and can be used in the integration information task. The relation of an ontology with information sources or other ontologies pla...

  1. Integrated Brain Circuits: Astrocytic Networks Modulate Neuronal Activity and Behavior

    Halassa, Michael M.; Haydon, Philip G.


    The past decade has seen an explosion of research on roles of neuron-astrocyte interactions in the control of brain function. We highlight recent studies performed on the tripartite synapse, the structure consisting of pre- and postsynaptic elements of the synapse and an associated astrocytic process. Astrocytes respond to neuronal activity and neuro-transmitters, through the activation of metabotropic receptors, and can release the gliotransmitters ATP, D-serine, and glutamate, which act on neurons. Astrocyte-derived ATP modulates synaptic transmission, either directly or through its metabolic product adenosine. D-serine modulates NMDA receptor function, whereas glia-derived glutamate can play important roles in relapse following withdrawal from drugs of abuse. Cell type–specific molecular genetics has allowed a new level of examination of the function of astrocytes in brain function and has revealed an important role of these glial cells that is mediated by adenosine accumulation in the control of sleep and in cognitive impairments that follow sleep deprivation. PMID:20148679

  2. Semantics of interdisciplinary data and information integration

    McGuinness, D. L.; Fox, P.; Raskin, R.; Sinha, A. K.


    We have developed an application of semantic web methods and technologies to address the integration of interdisciplinary earth-science datasets. The specific use case addresses seeking and using atmospheric chemistry and volcano geochemistry datasets. We have developed an integration framework based on semantic descriptions (ontologies) of the linking relations between the application domains. In doing this, we have extensively leveraged and existing ontology frameworks such as SWEET, VSTO and GEON as well as included extentions of them when needed. We present the components of this application, including the ontologies, the registration of datasets with ontologies at several levels of granularity, the data sources, and application results from the use case. We will also present the cur rent and near-future capabilities we are developing. This work arises from the Semantically-Enabled Science Data Integration (SESDI) project, which is an NASA/ESTO/ACCESS-funded project performed in part by Rensselaer Polytechnic Institute, the High Altitude Observatory at the National Center for Atmospheric Research (NCAR), McGuinness Associates, NASA/JPL and Virginia Polytechnic University.

  3. An Integrated Nursing Management Information System: From Concept to Reality

    Pinkley, Connie L.; Sommer, Patricia K.


    This paper addresses the transition from the conceptualization of a Nursing Management Information System (NMIS) integrated and interdependent with the Hospital Information System (HIS) to its realization. Concepts of input, throughout, and output are presented to illustrate developmental strategies used to achieve nursing information products. Essential processing capabilities include: 1) ability to interact with multiple data sources; 2) database management, statistical, and graphics softwa...

  4. Circadian period integrates network information through activation of the BMP signaling pathway.

    Esteban J Beckwith


    Full Text Available Living organisms use biological clocks to maintain their internal temporal order and anticipate daily environmental changes. In Drosophila, circadian regulation of locomotor behavior is controlled by ∼150 neurons; among them, neurons expressing the PIGMENT DISPERSING FACTOR (PDF set the period of locomotor behavior under free-running conditions. To date, it remains unclear how individual circadian clusters integrate their activity to assemble a distinctive behavioral output. Here we show that the BONE MORPHOGENETIC PROTEIN (BMP signaling pathway plays a crucial role in setting the circadian period in PDF neurons in the adult brain. Acute deregulation of BMP signaling causes period lengthening through regulation of dClock transcription, providing evidence for a novel function of this pathway in the adult brain. We propose that coherence in the circadian network arises from integration in PDF neurons of both the pace of the cell-autonomous molecular clock and information derived from circadian-relevant neurons through release of BMP ligands.

  5. Circadian Period Integrates Network Information Through Activation of the BMP Signaling Pathway

    Beckwith, Esteban J.; Gorostiza, E. Axel; Berni, Jimena; Rezával, Carolina; Pérez-Santángelo, Agustín; Nadra, Alejandro D.; Ceriani, María Fernanda


    Living organisms use biological clocks to maintain their internal temporal order and anticipate daily environmental changes. In Drosophila, circadian regulation of locomotor behavior is controlled by ∼150 neurons; among them, neurons expressing the PIGMENT DISPERSING FACTOR (PDF) set the period of locomotor behavior under free-running conditions. To date, it remains unclear how individual circadian clusters integrate their activity to assemble a distinctive behavioral output. Here we show that the BONE MORPHOGENETIC PROTEIN (BMP) signaling pathway plays a crucial role in setting the circadian period in PDF neurons in the adult brain. Acute deregulation of BMP signaling causes period lengthening through regulation of dClock transcription, providing evidence for a novel function of this pathway in the adult brain. We propose that coherence in the circadian network arises from integration in PDF neurons of both the pace of the cell-autonomous molecular clock and information derived from circadian-relevant neurons through release of BMP ligands. PMID:24339749

  6. Ontology Based Resolution of Semantic Conflicts in Information Integration

    LU Han; LI Qing-zhong


    Semantic conflict is the conflict caused by using different ways in heterogeneous systems to express the same entity in reality.This prevents information integration from accomplishing semantic coherence.Since ontology helps to solve semantic problems, this area has become a hot topic in information integration.In this paper, we introduce semantic conflict into information integration of heterogeneous applications.We discuss the origins and categories of the conflict, and present an ontology-based schema mapping approach to eliminate semantic conflicts.

  7. Automatic integration of confidence in the brain valuation signal.

    Lebreton, Maël; Abitbol, Raphaëlle; Daunizeau, Jean; Pessiglione, Mathias


    A key process in decision-making is estimating the value of possible outcomes. Growing evidence suggests that different types of values are automatically encoded in the ventromedial prefrontal cortex (VMPFC). Here we extend this idea by suggesting that any overt judgment is accompanied by a second-order valuation (a confidence estimate), which is also automatically incorporated in VMPFC activity. In accordance with the predictions of our normative model of rating tasks, two behavioral experiments showed that confidence levels were quadratically related to first-order judgments (age, value or probability ratings). The analysis of three functional magnetic resonance imaging data sets using similar rating tasks confirmed that the quadratic extension of first-order ratings (our proxy for confidence) was encoded in VMPFC activity, even if no confidence judgment was required of the participants. Such an automatic aggregation of value and confidence in a same brain region might provide insight into many distortions of judgment and choice. PMID:26192748

  8. Mesenchymal Stem Cells Regulate Blood Brain Barrier Integrity in Traumatic Brain Injury Through Production of the Soluble Factor TIMP3

    Menge, Tyler; Zhao, Yuhai; Zhao, Jing; Wataha, Kathryn; Geber, Michael; Zhang, Jianhu; Letourneau, Phillip; Redell, John; Shen, Li; Wang, Jing; Peng, Zhalong; Xue, Hasen; Kozar, Rosemary; Cox, Charles S.; Khakoo, Aarif Y.; Holcomb, John B.; Dash, Pramod K.; Pati, Shibani


    Mesenchymal stem cells (MCSs) have been shown to have therapeutic potential in multiple disease states associated with vascular instability including traumatic brain injury (TBI). In the present study, Tissue Inhibitor of Matrix Metalloproteinase-3 (TIMP3) is identified as the soluble factor produced by MSCs that can recapitulate the beneficial effects of MSCs on endothelial function and blood brain barrier (BBB) compromise in TBI. Attenuation of TIMP3 expression in MSCs completely abrogates the effect of MSCs on BBB permeability and stability, while intravenous administration of rTIMP3 alone can inhibit BBB permeability in TBI. Our results demonstrate that MSCs increase circulating levels of soluble TIMP3, which inhibits VEGF-A induced breakdown of endothelial AJs in vitro and in vivo. These findings elucidate a clear molecular mechanism for the effects of MSCs on the BBB in TBI, and directly demonstrate a role for TIMP3 in regulation of BBB integrity. PMID:23175708

  9. Information Systems Integration and Enterprise Application Integration (EAI) Adoption: A Case from Financial Services

    Lam, Wing


    Increasingly, organizations find that they need to integrate large number of information systems in order to support enterprise-wide business initiatives such as e-business, supply chain management and customer relationship management. To date, organizations have largely tended to address information systems (IS) integration in an ad-hoc manner.…

  10. Integranting prosodic information into a speech recogniser

    López Soto, María Teresa


    In the last decade there has been an increasing tendency to incorporate language engineering strategies into speech technology. This technique combines linguistic and mathematical information in different applications: machine translation, natural language processing, speech synthesis and automatic speech recognition (ASR). In the field of speech synthesis, this hybrid approach (linguistic and mathematical/statistical) has led to the design of efficient models for reproducin...

  11. Curriculum integrated information literacy: a challenge

    Bønløkke, Mette; Kobow, Else; Kristensen, Anne-Kirstine Østergaard


    when it is linked to assignments, timed right, prepared, systematic and continuous. Support is needed to help students understand the meaning of seeking information, to focus their problem and to make them reflect on their search and its results. Feedback on materials used is also asked for. The...

  12. Brain networks engaged in audiovisual integration during speech perception revealed by persistent homology-based network filtration.

    Kim, Heejung; Hahm, Jarang; Lee, Hyekyoung; Kang, Eunjoo; Kang, Hyejin; Lee, Dong Soo


    The human brain naturally integrates audiovisual information to improve speech perception. However, in noisy environments, understanding speech is difficult and may require much effort. Although the brain network is supposed to be engaged in speech perception, it is unclear how speech-related brain regions are connected during natural bimodal audiovisual or unimodal speech perception with counterpart irrelevant noise. To investigate the topological changes of speech-related brain networks at all possible thresholds, we used a persistent homological framework through hierarchical clustering, such as single linkage distance, to analyze the connected component of the functional network during speech perception using functional magnetic resonance imaging. For speech perception, bimodal (audio-visual speech cue) or unimodal speech cues with counterpart irrelevant noise (auditory white-noise or visual gum-chewing) were delivered to 15 subjects. In terms of positive relationship, similar connected components were observed in bimodal and unimodal speech conditions during filtration. However, during speech perception by congruent audiovisual stimuli, the tighter couplings of left anterior temporal gyrus-anterior insula component and right premotor-visual components were observed than auditory or visual speech cue conditions, respectively. Interestingly, visual speech is perceived under white noise by tight negative coupling in the left inferior frontal region-right anterior cingulate, left anterior insula, and bilateral visual regions, including right middle temporal gyrus, right fusiform components. In conclusion, the speech brain network is tightly positively or negatively connected, and can reflect efficient or effortful processes during natural audiovisual integration or lip-reading, respectively, in speech perception. PMID:25495216

  13. GABA regulates synaptic integration of newly generated neurons in the adult brain

    Ge, Shaoyu; Goh, Eyleen L. K.; Sailor, Kurt A.; Kitabatake, Yasuji; Ming, Guo-Li; Song, Hongjun


    Adult neurogenesis, the birth and integration of new neurons from adult neural stem cells, is a striking form of structural plasticity and highlights the regenerative capacity of the adult mammalian brain. Accumulating evidence suggests that neuronal activity regulates adult neurogenesis and that new neurons contribute to specific brain functions. The mechanism that regulates the integration of newly generated neurons into the pre-existing functional circuitry in the adult brain is unknown. Here we show that newborn granule cells in the dentate gyrus of the adult hippocampus are tonically activated by ambient GABA (γ-aminobutyric acid) before being sequentially innervated by GABA- and glutamate-mediated synaptic inputs. GABA, the major inhibitory neurotransmitter in the adult brain, initially exerts an excitatory action on newborn neurons owing to their high cytoplasmic chloride ion content. Conversion of GABA-induced depolarization (excitation) into hyperpolarization (inhibition) in newborn neurons leads to marked defects in their synapse formation and dendritic development in vivo. Our study identifies an essential role for GABA in the synaptic integration of newly generated neurons in the adult brain, and suggests an unexpected mechanism for activity-dependent regulation of adult neurogenesis, in which newborn neurons may sense neuronal network activity through tonic and phasic GABA activation.

  14. Brain activity related to integrative processes in visual object recognition

    Gerlach, Christian; Aaside, C T; Humphreys, G W;


    involvement of re-entrant activation from stored structural knowledge. Evidence in favor of this interpretation comes from the additional finding that activation of the anterior part of the left fusiform gyrus and a more anterior part of the right inferior temporal gyrus, areas previously associated with......We report evidence from a PET activation study that the inferior occipital gyri (likely to include area V2) and the posterior parts of the fusiform and inferior temporal gyri are involved in the integration of visual elements into perceptual wholes (single objects). Of these areas, the fusiform and...... perceptual and memorial processes can be dissociated on both functional and anatomical grounds. No evidence was obtained for the involvement of the parietal lobes in the integration of single objects....

  15. Brain Basics

    Full Text Available ... Brain Basics provides information on how the brain works, how mental illnesses are disorders of the brain, ... learning more about how the brain grows and works in healthy people, and how normal brain development ...

  16. Using integrated information systems in supply chain management

    Gonzálvez-Gallego, Nicolás; Molina-Castillo, Francisco-Jose; Soto-Acosta, Pedro; Varajao, Joao; Trigo, Antonio


    The aim of this paper is to empirically test not only the direct effects of information and communication technology (ICT) capabilities and integrated information systems (IS) on firm performance, but also the moderating role of IS integration along the supply chain in the relationship between ICT external and capabilities and business performance. Data collected from 102 large Iberian firms from Spain and Portugal are used to test the research model. The hierarchical multiple regression analysis is employed to test the direct effects and the moderating relationships proposed. Results show that external and internal ICT capabilities are important drivers of firm performance, while merely having integrated IS do not lead to better firm performance. In addition, a moderating effect of IS integration in the relationship between ICT capabilities and business performance is found, although this integration only contributes to firm performance when it is directed to connect with suppliers or customers rather than when integrating the whole supply chain.

  17. Full feature data model for spatial information network integration

    DENG Ji-qiu; BAO Guang-shu


    In allusion to the difficulty of integrating data with different models in integrating spatial information,the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical vectorraster integrative full feature model was put forward by integrating the advantage of vector and raster model and using the object-oriented method. The data structures of the four basic features, i.e. point, line, surface and solid,were described. An application was analyzed and described, and the characteristics of this model were described. In this model, all objects in the real world are divided into and described as features with hierarchy, and all the data are organized in vector. This model can describe data based on feature, field, network and other models, and avoid the disadvantage of inability to integrate data based on different models and perform spatial analysis on them in spatial information integration.

  18. Web Information Integration Tool: Data Structure Modelling

    Řimnáč, Martin

    Las Vegas: CSREA Press, 2005 - (Arabnia, H.; Scime, A.), s. 37-40 ISBN 1-932415-79-3. [DMIN'05. International Conference on Data Mining . Las Vegas (US), 20.06.2005-23.06.2005] R&D Projects: GA AV ČR 1ET100300419 Institutional research plan: CEZ:AV0Z10300504 Keywords : data structure model * information retrieval Subject RIV: JD - Computer Applications, Robotics

  19. The Action Team Integrated Information System (ATIIS)

    Full text: Throughout a decade of verification activities in Iraq, the IAEA Iraq Action Team has developed an extensive information system in order to support inspection activities and the associated analytical efforts. Original documents, declarations, inspection results, analytical data, etc. are available through a unique system combining the flexibility of raw data and the efficiency of structured databases. Examples of specific tools will be presented. (author)

  20. Integrating the Supervised Information into Unsupervised Learning

    Ping Ling


    Full Text Available This paper presents an assembling unsupervised learning framework that adopts the information coming from the supervised learning process and gives the corresponding implementation algorithm. The algorithm consists of two phases: extracting and clustering data representatives (DRs firstly to obtain labeled training data and then classifying non-DRs based on labeled DRs. The implementation algorithm is called SDSN since it employs the tuning-scaled Support vector domain description to collect DRs, uses spectrum-based method to cluster DRs, and adopts the nearest neighbor classifier to label non-DRs. The validation of the clustering procedure of the first-phase is analyzed theoretically. A new metric is defined data dependently in the second phase to allow the nearest neighbor classifier to work with the informed information. A fast training approach for DRs’ extraction is provided to bring more efficiency. Experimental results on synthetic and real datasets verify that the proposed idea is of correctness and performance and SDSN exhibits higher popularity in practice over the traditional pure clustering procedure.

  1. Interpreting Anaphoric Relations: The Integration of Semantic Information while Reading

    Garrod, Simon; Sanford, Anthony


    Four experiments dealt with integration of semantic information while reading. Reading and comprehension time of two related sentences in a text was analyzed according to their proximity and relation within the text. A model of textual comprehension is proposed. (CHK)

  2. Integrating information systems in support of configuration management

    Many nuclear power plants are reconstructing, validating, and documenting their plant design basis using configuration management and configuration control processes. Successful implementation of configuration management requires an up-to-date, accurate, and accessible information base. The quantity of information and complexity of its interrelationships makes development of an integrated, multifunctional, computer-based information system important, if not necessary, to meeting configuration management objectives. This paper discusses the approach applied at Texas Utilities (TU) Electrics Comanche Peak steam electric station to integrate and computerize the information base in support of configuration management

  3. Theory of Dynamic Diagnosis Based on Integrated Maintenance Information


    Based on the concept of an integrated maintenance information system and related information environment, this paper discusses the process of troubleshooting in modern maintenance in detail, and gives a model of dynamic diagnosis of faults, in which a reasoning program is designed through taking advantage of information fusion and time analysis. In the end, the authors present the logic process of dynamic diagnosis through a typical example, and proposes a dynamic diagnostic system based on information fusion.

  4. Integration of Surgery Management and Clinical Information Systems

    Clayton, Paul D.; Delaplaine, Kathy H.; Jensen, Ronald D.; Bird, Bruce; Evans, R. Scott; Cannon, Clawson Y.


    We describe a computer-based management system used in the Surgery deaprtment at LSD Hospital. In addition to the traditional management functions which are found in systems developed by others, our system was designed to collect and display clinical information about the surgical patient as part of a larger comprehensive clinical information system. The information derived from the surgery sub-system is integrated with information from other sources in the hospital for use in automated medic...

  5. Towards an integrated information system for retail management

    J R Beaumont


    Retail management recognise the competitive edge that can be provided by actionable information. In moving towards an integrated retail management information system, it is recognised that a general driving force behind investments in information technology (IT) is the need for more detailed information about customers. Marketing (and distribution and service) can apply IT to increase their efficiency, and, more importantly, to promote their effectiveness in the increasingly competitive envir...

  6. Information delivery manuals to integrate building product information into design

    Berard, Ole Bengt; Karlshøj, Jan


    . Traditional business process modeling languages often fail to completely cover all four perspectives. BuildingSMART has proposed Information Delivery Manuals (IDMs) to model and re-engineer processes that address the four perspectives through a collaborative methodology in order to standardize and implement...

  7. Information delivery manuals to integrate building product information into design

    Berard, Ole Bengt; Karlshøj, Jan


    . Traditional business process modeling languages often fail to completely cover all four perspectives. BuildingSMART has proposed Information Delivery Manuals (IDMs) to model and re-engineer processes that address the four perspectives through a collaborative methodology in order to standardize and implement...

  8. HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity.

    Niso, Guiomar; Bruña, Ricardo; Pereda, Ernesto; Gutiérrez, Ricardo; Bajo, Ricardo; Maestú, Fernando; del-Pozo, Francisco


    The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the 'traditional' set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality.This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified-easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox.Here we present HERMES ( ), a toolbox for the Matlab® environment (The Mathworks, Inc), which is designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis. PMID:23812847

  9. Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus

    Sun, Peizhen; Parvathaneni, Prasanna; Schilling, Kurt G.; Gao, Yurui; Janve, Vaibhav; Anderson, Adam; Landman, Bennett A.


    This effort is a continuation of development of a digital brain atlas of the common squirrel monkey, Saimiri sciureus, a New World monkey with functional and microstructural organization of central nervous system similar to that of humans. Here, we present the integration of histology with multi-modal magnetic resonance imaging (MRI) atlas constructed from the brain of an adult female squirrel monkey. The central concept of this work is to use block face photography to establish an intermediate common space in coordinate system which preserves the high resolution in-plane resolution of histology while enabling 3-D correspondence with MRI. In vivo MRI acquisitions include high resolution T2 structural imaging (300 μm isotropic) and low resolution diffusion tensor imaging (600 um isotropic). Ex vivo MRI acquisitions include high resolution T2 structural imaging and high resolution diffusion tensor imaging (both 300 μm isotropic). Cortical regions were manually annotated on the co-registered volumes based on published histological sections in-plane. We describe mapping of histology and MRI based data of the common squirrel monkey and construction of a viewing tool that enable online viewing of these datasets. The previously descried atlas MRI is used for its deformation to provide accurate conformation to the MRI, thus adding information at the histological level to the MRI volume. This paper presents the mapping of single 2D image slice in block face as a proof of concept and this can be extended to map the atlas space in 3D coordinate system as part of the future work and can be loaded to an XNAT system for further use.

  10. Effects of Yishendaluo decoction on blood-brain barrier integrity in mice with experimental autoimmune encephalomyelitis

    Yanqing Wu; Ying Gao; Lingqun Zhu; Yonghong Gao; Dongmei Zhang; Lixia Lou; Yanfang Yan


    This study investigated the effects of Yishendaluo decoction on the loss of blood-brain barrier integrity in mice exhibiting experimental autoimmune encephalomyelitis.To this end,we used real-time fluorescent quantitative PCR to measure the levels of mRNAs specific to the T cell markers CD4 and CD8,and the monocyte marker CD11b.In addition,we used Evans blue dye extravasation in the spinal cord and brain tissues to assess blood-brain barrier permeability.The results indicated that an increase in blood-brain barrier permeability was associated with an increase in CD4,CD8 and CD11b mRNA expression in experimental autoimmune encephalomyelitis mice.Yishendaluo decoction administration significantly reversed inflammatory cell accumulation in cerebral tissues of experimental autoimmune encephalomyelitis mice.

  11. Towards an Ontology-based Integration of Federated Information Sources

    Buccella, Agustina; Cechich, Alejandra; Brisaboa, Nieves R.


    Integrating data from a Federated System is a very complex process that involves a series of tasks. Characteristics such as autonomy of the information sources, their geographical distribution and heterogeneity are some of the main problems we face to perform the integration. In this paper we focus on the problem of heterogeneity, more specifically on semantic heterogeneity. The semantic heterogeneity makes the integration difficult because of its bearing problems on synonymous, generaliza...

  12. Integration of Information Retrieval and Database Management Systems.

    Deogun, Jitender S.; Raghavan, Vijay V.


    Discusses the motivation for integrating information retrieval and database management systems, and proposes a probabilistic retrieval model in which records in a file may be composed of attributes (formatted data items) and descriptors (content indicators). The details and resolutions of difficulties involved in integrating such systems are…

  13. Integrating an Information Literacy Quiz into the Learning Management System

    Lowe, M. Sara; Booth, Char; Tagge, Natalie; Stone, Sean


    The Claremont Colleges Library Instruction Services Department developed a quiz that could be integrated into the consortial learning management software to accompany a local online, open-source information literacy tutorial. The quiz is integrated into individual course pages, allowing students to receive a grade for completion and improving…

  14. The Dilution Effect and Information Integration in Perceptual Decision Making

    Jared M Hotaling; Cohen, Andrew L.; Richard M Shiffrin; BUSEMEYER, JEROME R.


    In cognitive science there is a seeming paradox: On the one hand, studies of human judgment and decision making have repeatedly shown that people systematically violate optimal behavior when integrating information from multiple sources. On the other hand, optimal models, often Bayesian, have been successful at accounting for information integration in fields such as categorization, memory, and perception. This apparent conflict could be due, in part, to different materials and designs that l...

  15. Brain Tumor Detection Based on Bilateral Symmetry Information

    Sachin, Narkhede; Shah, Deven; Khairnar, Vaishali; Kadu, Sujata


    Advances in computing technology have allowed researchers across many fields of endeavor to collect and maintain vast amounts of observational statistical data such as clinical data,biological patient data,data regarding access of web sites,financial data,and the like.Brain Magnetic Resonance Imaging(MRI)segmentation is a complex problem in the field of medical imaging despite various presented methods.MR image of human brain can be divided into several sub regions especially soft tissues suc...

  16. Response processes in information-integration category learning.

    Spiering, Brian J; Ashby, F Gregory


    Much recent evidence suggests that human category learning is mediated by multiple systems. Evidence suggests that at least one of these depends on procedural learning within the basal ganglia. Information-integration categorization tasks are thought to load heavily on this procedural-learning system. The results of several previous studies were interpreted to suggest that response positions are learned in information-integration tasks. This hypothesis was tested in two experiments. Experiment 1 showed that information-integration category learning was slowed but not disrupted when the spatial location of the responses varied randomly across trials. Experiment 2 showed that information-integration learning was impaired if category membership was signaled by responding to a Yes/No question and the category label had no consistent spatial location. These results suggest that information-integration category learning does not require consistent response locations. In these experiments, a consistent association between a category and a response feature was sufficient. The implication of these results for the neurobiology of information-integration category learning is discussed. PMID:18550397

  17. A Framework for Understanding Post-Merger Information Systems Integration

    Alaranta, Maria; Kautz, Karlheinz


    This paper develops a theoretical framework for the integration of information systems (IS) after a merger or an acquisition. The framework integrates three perspectives: a structuralist, an individualist, and an interactive process perspective to analyze and understand such integrations. The...... framework is applied to a longitudinal case study of a manufacturing company that grew through an acquisition. The management decided to integrate the production control IS via tailoring a new system that blends together features of existing IS. The application of the framework in the case study confirms...... several known impediments to IS integrations. It also identifies a number of new inhibitors, as well as known and new facilitators that can bring post-merger IS integration to a success. Our findings provide relevant insights to researching and managing post-merger IS integrations. They emphasize that...

  18. Brain response during the M170 time interval is sensitive to socially relevant information.

    Arviv, Oshrit; Goldstein, Abraham; Weeting, Janine C; Becker, Eni S; Lange, Wolf-Gero; Gilboa-Schechtman, Eva


    Deciphering the social meaning of facial displays is a highly complex neurological process. The M170, an event related field component of MEG recording, like its EEG counterpart N170, was repeatedly shown to be associated with structural encoding of faces. However, the scope of information encoded during the M170 time window is still being debated. We investigated the neuronal origin of facial processing of integrated social rank cues (SRCs) and emotional facial expressions (EFEs) during the M170 time interval. Participants viewed integrated facial displays of emotion (happy, angry, neutral) and SRCs (indicated by upward, downward, or straight head tilts). We found that the activity during the M170 time window is sensitive to both EFEs and SRCs. Specifically, highly prominent activation was observed in response to SRC connoting dominance as compared to submissive or egalitarian head cues. Interestingly, the processing of EFEs and SRCs appeared to rely on different circuitry. Our findings suggest that vertical head tilts are processed not only for their sheer structural variance, but as social information. Exploring the temporal unfolding and brain localization of non-verbal cues processing may assist in understanding the functioning of the social rank biobehavioral system. PMID:26423664

  19. Alteration of blood-brain barrier integrity by retroviral infection.

    Philippe V Afonso


    Full Text Available The blood-brain barrier (BBB, which forms the interface between the blood and the cerebral parenchyma, has been shown to be disrupted during retroviral-associated neuromyelopathies. Human T Lymphotropic Virus (HTLV-1 Associated Myelopathy/Tropical Spastic Paraparesis (HAM/TSP is a slowly progressive neurodegenerative disease associated with BBB breakdown. The BBB is composed of three cell types: endothelial cells, pericytes and astrocytes. Although astrocytes have been shown to be infected by HTLV-1, until now, little was known about the susceptibility of BBB endothelial cells to HTLV-1 infection and the impact of such an infection on BBB function. We first demonstrated that human cerebral endothelial cells express the receptors for HTLV-1 (GLUT-1, Neuropilin-1 and heparan sulfate proteoglycans, both in vitro, in a human cerebral endothelial cell line, and ex vivo, on spinal cord autopsy sections from HAM/TSP and non-infected control cases. In situ hybridization revealed HTLV-1 transcripts associated with the vasculature in HAM/TSP. We were able to confirm that the endothelial cells could be productively infected in vitro by HTLV-1 and that blocking of either HSPGs, Neuropilin 1 or Glut1 inhibits this process. The expression of the tight-junction proteins within the HTLV-1 infected endothelial cells was altered. These cells were no longer able to form a functional barrier, since BBB permeability and lymphocyte passage through the monolayer of endothelial cells were increased. This work constitutes the first report of susceptibility of human cerebral endothelial cells to HTLV-1 infection, with implications for HTLV-1 passage through the BBB and subsequent deregulation of the central nervous system homeostasis. We propose that the susceptibility of cerebral endothelial cells to retroviral infection and subsequent BBB dysfunction is an important aspect of HAM/TSP pathogenesis and should be considered in the design of future therapeutics strategies.

  20. Early Shifts of Brain Metabolism by Caloric Restriction Preserve White Matter Integrity and Long-Term Memory in Aging Mice

    Janet eGuo; Vikas eBakshi; Ai-Ling eLin


    Preservation of brain integrity with age is highly associated with lifespan determination. Caloric restriction (CR) has been shown to increase longevity and healthspan in various species; however, its effects on preserving living brain functions in aging remain largely unexplored. In the study, we used multimodal, non-invasive neuroimaging (PET/MRI/MRS) to determine in vivo brain glucose metabolism, energy metabolites, and white matter structural integrity in young and old mice fed with eithe...

  1. Integrated Information System of Monitoring and Management for Heart Centers

    Adrian Brezulianu


    Full Text Available The integrated information system presented in this paper is focused on increasing the quality of the medical services offered to the patients by rendering the activities more efficient and by corroborating the family doctors and the cardiologists’ efforts. In order to accomplish the mentioned objectives we propose implementing an integrated information system by means of which the integrated management of the medical data will be done. In addition, it has been offered a collaborative instrument, patient oriented, that it will be used both by the family doctor and by the specialist doctor.

  2. Bryostatin-1 Restores Blood Brain Barrier Integrity following Blast-Induced Traumatic Brain Injury.

    Lucke-Wold, Brandon P; Logsdon, Aric F; Smith, Kelly E; Turner, Ryan C; Alkon, Daniel L; Tan, Zhenjun; Naser, Zachary J; Knotts, Chelsea M; Huber, Jason D; Rosen, Charles L


    Recent wars in Iraq and Afghanistan have accounted for an estimated 270,000 blast exposures among military personnel. Blast traumatic brain injury (TBI) is the 'signature injury' of modern warfare. Blood brain barrier (BBB) disruption following blast TBI can lead to long-term and diffuse neuroinflammation. In this study, we investigate for the first time the role of bryostatin-1, a specific protein kinase C (PKC) modulator, in ameliorating BBB breakdown. Thirty seven Sprague-Dawley rats were used for this study. We utilized a clinically relevant and validated blast model to expose animals to moderate blast exposure. Groups included: control, single blast exposure, and single blast exposure + bryostatin-1. Bryostatin-1 was administered i.p. 2.5 mg/kg after blast exposure. Evan's blue, immunohistochemistry, and western blot analysis were performed to assess injury. Evan's blue binds to albumin and is a marker for BBB disruption. The single blast exposure caused an increase in permeability compared to control (t = 4.808, p < 0.05), and a reduction back toward control levels when bryostatin-1 was administered (t = 5.113, p < 0.01). Three important PKC isozymes, PKCα, PKCδ, and PKCε, were co-localized primarily with endothelial cells but not astrocytes. Bryostatin-1 administration reduced toxic PKCα levels back toward control levels (t = 4.559, p < 0.01) and increased the neuroprotective isozyme PKCε (t = 6.102, p < 0.01). Bryostatin-1 caused a significant increase in the tight junction proteins VE-cadherin, ZO-1, and occludin through modulation of PKC activity. Bryostatin-1 ultimately decreased BBB breakdown potentially due to modulation of PKC isozymes. Future work will examine the role of bryostatin-1 in preventing chronic neurodegeneration following repetitive neurotrauma. PMID:25301233

  3. Integration technology research on marine geographical information system

    XUE Cunjin; SU Fenzhen; DU Yunyan; YANG Xiaomei


    It is urgent and necessary to integrate a marine geographical information system (MGIS) with marine remote sensing detection modules.On the basis of the current technology and features of applications,an open three-layer integration framework is de-signed.At the data layer,a two-level three-base integration mechanism based on the plug-in technology is applied;At the func-tion layer,an integration mode based on API,DLL,EXE and COM is discussed;and at the application layer,a sharing mecha-nism based on the clients/service is adopted.As an example,the remote sensing integrated application information system of Chinas coastal zone and offshore (MaXplorer1.0) with multiecology remote sensing fusion and assimilation module,surge detec-tion module as well as eight other thematic application modules is integrated,and the key technology of integration is discussed at different layers and in different modules.The result shows that it is possible to realize the conformity of technology and resources and to provide the incorporate technology platform for marine information operational functioning after applying the integration framework.

  4. An Integrated Model of Information Literacy, Based upon Domain Learning

    Thompson, Gary B.; Lathey, Johnathan W.


    Introduction. Grounded in Alexander's model of domain learning, this study presents an integrated micro-model of information literacy. It is predicated upon the central importance of domain learning for the development of the requisite research skills by students. Method. The authors reviewed previous models of information literacy and…

  5. Method and system of integrating information from multiple sources

    Alford, Francine A. (Livermore, CA); Brinkerhoff, David L. (Antioch, CA)


    A system and method of integrating information from multiple sources in a document centric application system. A plurality of application systems are connected through an object request broker to a central repository. The information may then be posted on a webpage. An example of an implementation of the method and system is an online procurement system.

  6. Misconceptions and Misattributions About Traumatic Brain Injury: An Integrated Conceptual Framework.

    Block, Cady K; West, Sarah E; Goldin, Yelena


    The objective of the present narrative review was to provide a conceptual framework to address common misconceptions in the field of traumatic brain injury (TBI) and enhance clinical and research practices. This framework is based on review of the literature on TBI knowledge and beliefs. The comprehensive search of the literature included seminal and current texts as well as relevant articles on TBI knowledge and education, misconceptions, and misattributions. Reviewed materials ranged from 1970 to 2013 and were obtained from PubMed and PubMed Central online research databases. Research findings from the reviewed literature were integrated with existing social and cognitive psychological concepts to develop a framework that includes: (1) the identification antecedents of TBI-related misconceptions and misattribution; (2) understanding of how inaccurate beliefs form and persist as the result of pre- and postinjury cognitive operations such as informational cascades and attribution biases; and (3) a discussion of ways in which these beliefs can result in consequences in all domains of a survivor's life, including physical and mental health, stigma, and discrimination. This framework is intended to serve as a first stage of development of a model that will improve treatment endeavors and service delivery to individuals with TBI and their families. PMID:26054960

  7. The Application of Integrated Knowledge-based Systems for the Biomedical Risk Assessment Intelligent Network (BRAIN)

    Loftin, Karin C.; Ly, Bebe; Webster, Laurie; Verlander, James; Taylor, Gerald R.; Riley, Gary; Culbert, Chris; Holden, Tina; Rudisill, Marianne


    One of NASA's goals for long duration space flight is to maintain acceptable levels of crew health, safety, and performance. One way of meeting this goal is through the Biomedical Risk Assessment Intelligent Network (BRAIN), an integrated network of both human and computer elements. The BRAIN will function as an advisor to flight surgeons by assessing the risk of in-flight biomedical problems and recommending appropriate countermeasures. This paper describes the joint effort among various NASA elements to develop BRAIN and an Infectious Disease Risk Assessment (IDRA) prototype. The implementation of this effort addresses the technological aspects of the following: (1) knowledge acquisition; (2) integration of IDRA components; (3) use of expert systems to automate the biomedical prediction process; (4) development of a user-friendly interface; and (5) integration of the IDRA prototype and Exercise Countermeasures Intelligent System (ExerCISys). Because the C Language, CLIPS (the C Language Integrated Production System), and the X-Window System were portable and easily integrated, they were chosen as the tools for the initial IDRA prototype. The feasibility was tested by developing an IDRA prototype that predicts the individual risk of influenza. The application of knowledge-based systems to risk assessment is of great market value to the medical technology industry.

  8. Efficient physical embedding of topologically complex information processing networks in brains and computer circuits.

    Danielle S Bassett


    Full Text Available Nervous systems are information processing networks that evolved by natural selection, whereas very large scale integrated (VLSI computer circuits have evolved by commercially driven technology development. Here we follow historic intuition that all physical information processing systems will share key organizational properties, such as modularity, that generally confer adaptivity of function. It has long been observed that modular VLSI circuits demonstrate an isometric scaling relationship between the number of processing elements and the number of connections, known as Rent's rule, which is related to the dimensionality of the circuit's interconnect topology and its logical capacity. We show that human brain structural networks, and the nervous system of the nematode C. elegans, also obey Rent's rule, and exhibit some degree of hierarchical modularity. We further show that the estimated Rent exponent of human brain networks, derived from MRI data, can explain the allometric scaling relations between gray and white matter volumes across a wide range of mammalian species, again suggesting that these principles of nervous system design are highly conserved. For each of these fractal modular networks, the dimensionality of the interconnect topology was greater than the 2 or 3 Euclidean dimensions of the space in which it was embedded. This relatively high complexity entailed extra cost in physical wiring: although all networks were economically or cost-efficiently wired they did not strictly minimize wiring costs. Artificial and biological information processing systems both may evolve to optimize a trade-off between physical cost and topological complexity, resulting in the emergence of homologous principles of economical, fractal and modular design across many different kinds of nervous and computational networks.

  9. [Information systems in health and health indicators: an integrating perspective].

    Canela-Soler, Jaume; Elvira-Martínez, David; Labordena-Barceló, María Jesús; Loyola-Elizondo, Enrique


    Health Information Systems (HIS) are the core support to decision-making in health organizations. Within HIS, health indicators (HI) reflect, numerically, events measured in the health-illness continuum. The integrated health information system is intended to standardize, integrate and organize all the information available in health information systems through an accessible and secure repository, and to conveniently distribute information for decision-making. To standardize information it is necessary to define standards and semantic information to enable us to identify concepts and relate them uniquely to each other. The definition of a catalog of entities (DEA) with concepts, attributes and domains will enable the configuration of the information system, so there will be a catalog of entities (concepts of information and domains). Based on operational systems, analytical systems enabling management and strategy in the management of organizations will be built. The maximum level of analysis is the Balanced Score Card (BSC), which is established as the strategic tool for managers. It is necessary for the organization an integrated information system to plan, manage, evaluate and therefore provide managers with a decision tool for strategic and tactical decision-making in short and medium term. PMID:20211346

  10. Practical measures of integrated information for time-series data.

    Adam B Barrett

    Full Text Available A recent measure of 'integrated information', Φ(DM, quantifies the extent to which a system generates more information than the sum of its parts as it transitions between states, possibly reflecting levels of consciousness generated by neural systems. However, Φ(DM is defined only for discrete Markov systems, which are unusual in biology; as a result, Φ(DM can rarely be measured in practice. Here, we describe two new measures, Φ(E and Φ(AR, that overcome these limitations and are easy to apply to time-series data. We use simulations to demonstrate the in-practice applicability of our measures, and to explore their properties. Our results provide new opportunities for examining information integration in real and model systems and carry implications for relations between integrated information, consciousness, and other neurocognitive processes. However, our findings pose challenges for theories that ascribe physical meaning to the measured quantities.

  11. Information integrity and privacy for computerized medical patient records

    Gallegos, J.; Hamilton, V.; Gaylor, T.; McCurley, K.; Meeks, T.


    Sandia National Laboratories and Oceania, Inc. entered into a Cooperative Research and Development Agreement (CRADA) in November 1993 to provide ``Information Integrity and Privacy for Computerized Medical Patient Records`` (CRADA No. SC93/01183). The main objective of the project was to develop information protection methods that are appropriate for databases of patient records in health information systems. This document describes the findings and alternative solutions that resulted from this CRADA.

  12. Leading research on brain functional information processing; No kino joho shori no sendo kenkyu



    This research aims at searching the concept of an information processing device with a fully different architecture from a previous ones based on the study on human brain function, sense and perception, and developing the basic fabrication technology for such system, and realizing the human-like information processing mechanism of memorization, learning, association, perception, intuition and value judgement. As an approach deriving biological and technological models from experimental brain studies, the model was derived from the brain functional information processing based on brain development/differentiation mechanism, the control mechanism/material of brain activities, and the knowledge obtained from brain measurement and study. In addition, for understanding a brain oscillation phenomenon by computational neuroscience, the cerebral cortex neural network model composed of realistic neuron models was proposed. Evaluation of the previous large-scale neural network chip system showed its ability of learning and fast processing, however, the next-generation brain computer requires further R and D of some novel architecture, device and system. 184 refs., 41 figs., 2 tabs.

  13. Mathematical Models of Visual Information Processing in the Human Brain and Applications to Image Processing

    Arai, Hitoshi


    In this lecture I give a survey of joint works of Hitoshi Arai and Shinobu Arai. The main purpose of our study is to construct mathematical models of visual information processing in the brain, and to give applications to image processing. On the past few decades, several studies have been made on mathematical models of visual information processing in the human brain. Our new models are constructed by using simple pinwheel framelets ([4]) and pinwheel framelets ([6]), which are a new class o...

  14. A Measure for Brain Complexity: Relating Functional Segregation and Integration in the Nervous System

    Tononi, Giulio; Sporns, Olaf; Edelman, Gerald M.


    In brains of higher vertebrates, the functional segregation of local areas that differ in their anatomy and physiology contrasts sharply with their global integration during perception and behavior. In this paper, we introduce a measure, called neural complexity (C_N), that captures the interplay between these two fundamental aspects of brain organization. We express functional segregation within a neural system in terms of the relative statistical independence of small subsets of the system and functional integration in terms of significant deviations from independence of large subsets. C_N is then obtained from estimates of the average deviation from statistical independence for subsets of increasing size. C_N is shown to be high when functional segregation coexists with integration and to be low when the components of a system are either completely independent (segregated) or completely dependent (integrated). We apply this complexity measure in computer simulations of cortical areas to examine how some basic principles of neuroanatomical organization constrain brain dynamics. We show that the connectivity patterns of the cerebral cortex, such as a high density of connections, strong local connectivity organizing cells into neuronal groups, patchiness in the connectivity among neuronal groups, and prevalent reciprocal connections, are associated with high values of C_N. The approach outlined here may prove useful in analyzing complexity in other biological domains such as gene regulation and embryogenesis.

  15. Integrated Data and Information Management for Social Protection

    Valentina Barca


    "In recent years there has been great focus on coordinating and harmonising systems for social protection. This has led to growing interest in exploring ways to integrate data and better handle information management across multiple programmes. The most cited example of such integration is Brazils celebrated Cadastro Único (Single Registry, the term we will be using to describe such poverty databases), yet several other countries have been recently adopting innovative solutions and defining b...

  16. Integrating Stress Information in Large Vocabulary Continuous Speech Recognition

    Ludusan, Bogdan; Ziegler, Stefan; Gravier, Guillaume


    In this paper we propose a novel method for integrating stress information in the decoding step of a speech recognizer. A multiscale rhythm model was used to determine the stress scores for each syllable, which are further used to reinforce paths during search. Two strategies for integrating the stress were employed: the first one reinforces paths through all the syllables with a value proportional to the their stress score, while the second one enhances paths passing only through stressed sy...

  17. Integrating federated information sources through the use of ontologies

    Buccella, Agustina; Cechich, Alejandra; Penabad, Miguel R.; Rodriguez, Francisco J.; Brisaboa, Nieves R.


    Ontologies serve as a mean to establish a conceptually concise basis for communicating knowledge for many purposes. Within the information integration area, ontologies are useful to solve heterogeneity problems. They provide a set of knowledge terms, including the vocabulary, the semantic interconnections and some simple rules of inference and logic. In this paper we present a helpful method to integrate a new data source into a federated system taking advance of the use of ontologies.

  18. Concept bases: A support to information systems integration

    Falquet, Gilles; Bonjour, Michel


    In this paper, we describe a technique for integrating heterogeneous information systems using concept bases. A concept base is build on top of each system to integrate, in order to semantically enrich its description. Each concept is described at three different levels: terminological definition, formal characterization, and representation in the underlying system. The different concept bases are then used to compare the concepts represented in the different systems and to establish correspo...

  19. Integrated computational and conceptual solutions for complex environmental information management

    Rückemann, Claus-Peter


    This paper presents the recent results of the integration of computational and conceptual solutions for the complex case of environmental information management. The solution for the major goal of creating and developing long-term multi-disciplinary knowledge resources and conceptual and computational support was achieved by implementing and integrating key components. The key components are long-term knowledge resources providing required structures for universal knowledge creation, documentation, and preservation, universal multi-disciplinary and multi-lingual conceptual knowledge and classification, especially, references to Universal Decimal Classification (UDC), sustainable workflows for environmental information management, and computational support for dynamical use, processing, and advanced scientific computing with Integrated Information and Computing System (IICS) components and High End Computing (HEC) resources.

  20. Optimal Perceived Timing: Integrating Sensory Information with Dynamically Updated Expectations.

    Di Luca, Massimiliano; Rhodes, Darren


    The environment has a temporal structure, and knowing when a stimulus will appear translates into increased perceptual performance. Here we investigated how the human brain exploits temporal regularity in stimulus sequences for perception. We find that the timing of stimuli that occasionally deviate from a regularly paced sequence is perceptually distorted. Stimuli presented earlier than expected are perceptually delayed, whereas stimuli presented on time and later than expected are perceptually accelerated. This result suggests that the brain regularizes slightly deviant stimuli with an asymmetry that leads to the perceptual acceleration of expected stimuli. We present a Bayesian model for the combination of dynamically-updated expectations, in the form of a priori probability of encountering future stimuli, with incoming sensory information. The asymmetries in the results are accounted for by the asymmetries in the distributions involved in the computational process. PMID:27385184

  1. Optimal Perceived Timing: Integrating Sensory Information with Dynamically Updated Expectations

    Di Luca, Massimiliano; Rhodes, Darren


    The environment has a temporal structure, and knowing when a stimulus will appear translates into increased perceptual performance. Here we investigated how the human brain exploits temporal regularity in stimulus sequences for perception. We find that the timing of stimuli that occasionally deviate from a regularly paced sequence is perceptually distorted. Stimuli presented earlier than expected are perceptually delayed, whereas stimuli presented on time and later than expected are perceptually accelerated. This result suggests that the brain regularizes slightly deviant stimuli with an asymmetry that leads to the perceptual acceleration of expected stimuli. We present a Bayesian model for the combination of dynamically-updated expectations, in the form of a priori probability of encountering future stimuli, with incoming sensory information. The asymmetries in the results are accounted for by the asymmetries in the distributions involved in the computational process. PMID:27385184

  2. International seminar on integrated information systems. Book of extended synopses

    The information available to the IAEA under comprehensive safeguards agreement with an Additional protocol is intended to provide for as complete a picture as practicable of a State's current or planned nuclear programme. The central components of the strengthened safeguards system are: increased IAEA access to and evaluation of information about States' nuclear and nuclear-related activities and increased physical access to relevant locations for verification of the exclusively peaceful content of a States' nuclear programme. Strengthening measures implemented under the existing legal authority of the Agency have contributed to increased information and physical access. Thus the role of integrated information systems for safeguards relevant data acquisition became more significant

  3. Integrating hospital information systems in healthcare institutions: a mediation architecture.

    El Azami, Ikram; Cherkaoui Malki, Mohammed Ouçamah; Tahon, Christian


    Many studies have examined the integration of information systems into healthcare institutions, leading to several standards in the healthcare domain (CORBAmed: Common Object Request Broker Architecture in Medicine; HL7: Health Level Seven International; DICOM: Digital Imaging and Communications in Medicine; and IHE: Integrating the Healthcare Enterprise). Due to the existence of a wide diversity of heterogeneous systems, three essential factors are necessary to fully integrate a system: data, functions and workflow. However, most of the previous studies have dealt with only one or two of these factors and this makes the system integration unsatisfactory. In this paper, we propose a flexible, scalable architecture for Hospital Information Systems (HIS). Our main purpose is to provide a practical solution to insure HIS interoperability so that healthcare institutions can communicate without being obliged to change their local information systems and without altering the tasks of the healthcare professionals. Our architecture is a mediation architecture with 3 levels: 1) a database level, 2) a middleware level and 3) a user interface level. The mediation is based on two central components: the Mediator and the Adapter. Using the XML format allows us to establish a structured, secured exchange of healthcare data. The notion of medical ontology is introduced to solve semantic conflicts and to unify the language used for the exchange. Our mediation architecture provides an effective, promising model that promotes the integration of hospital information systems that are autonomous, heterogeneous, semantically interoperable and platform-independent. PMID:22086739

  4. Semantic integration of verbal information into a visual memory.

    Loftus, E F; Miller, D G; Burns, H J


    A total of 1,242 subjects, in five experiments plus a pilot study, saw a series of slides depicting a single auto-pedestrian accident. The purpose of these experiments was to investigate how information supplied after an event influences a witness's memory for that event. Subjects were exposed to either consistent, misleading, or irrelevant information after the accident event. Misleading information produced less accurate responding on both a yes-no and a two-alternative forced-choice recognition test. Further, misleading information had a larger impact if introduced just prior to a final test rather than immediately after the initial event. The effects of misleading information cannot be accounted for by a simple demand-characteristics explanation. Overall, the results suggest that information to which a witness is exposed after an event, whether that information is consistent or misleading, is integrated into the witness's memory of the event. PMID:621467

  5. Technical development of integrated radwaste management information system in Taiwan

    Lin, C.; Tsai, C.M.; Chang, P.L.


    Radioactive waste poses very complex problems from its generation, processing, shipping in-transit and interim storage, to its final destination and is carefully planned in Taiwan. The objectives of this plan are to use technical management skills and integrated computer technology to provide an Electronic Information Service Environment. We use a relational data structure to establish a computerized management of the radioactive waste. It combines methodologies in technical management, data processing, data base, hierarchical tree structure, multi-media user interface, decision analysis, and artificial intelligence, etc., to accomplish the integration of radioactive waste information and to effectively utilize resources in order to raise the overall management level and efficiency in Taiwan.

  6. Modulation of semantic integration as a function of syntactic expectations: event-related brain potential evidence.

    Isel, Frédéric; Shen, Weilin


    This study investigated syntax-semantics interactions during spoken sentence comprehension. We showed that expectations of phrase-structure incongruencies, which were induced by the experimental instructions, although not actually present in the sentences, were able to block the process of semantic integration. Although this process is usually associated with an N400 event-related brain potential component, here we found a P600, that is, an event-related brain potential component that is thought to reflect syntactic revision. This finding lends support to neurophysiological models of sentence interpretation, which postulates that the lexical-semantic integration of a given word can take place only when syntactic analysis has been successfully completed. PMID:21358555

  7. Integrated Information Systems Across the Weather-Climate Continuum

    Pulwarty, R. S.; Higgins, W.; Nierenberg, C.; Trtanj, J.


    The increasing demand for well-organized (integrated) end-to-end research-based information has been highlighted in several National Academy studies, in IPCC Reports (such as the SREX and Fifth Assessment) and by public and private constituents. Such information constitutes a significant component of the "environmental intelligence" needed to address myriad societal needs for early warning and resilience across the weather-climate continuum. The next generation of climate research in service to the nation requires an even more visible, authoritative and robust commitment to scientific integration in support of adaptive information systems that address emergent risks and inform longer-term resilience strategies. A proven mechanism for resourcing such requirements is to demonstrate vision, purpose, support, connection to constituencies, and prototypes of desired capabilities. In this presentation we will discuss efforts at NOAA, and elsewhere, that: Improve information on how changes in extremes in key phenomena such as drought, floods, and heat stress impact management decisions for resource planning and disaster risk reduction Develop regional integrated information systems to address these emergent challenges, that integrate observations, monitoring and prediction, impacts assessments and scenarios, preparedness and adaptation, and coordination and capacity-building. Such systems, as illustrated through efforts such as NIDIS, have strengthened the integration across the foundational research enterprise (through for instance, RISAs, Modeling Analysis Predictions and Projections) by increasing agility for responding to emergent risks. The recently- initiated Climate Services Information System, in support of the WMO Global Framework for Climate Services draws on the above models and will be introduced during the presentation.

  8. Integrated information in discrete dynamical systems: motivation and theoretical framework.

    David Balduzzi


    Full Text Available This paper introduces a time- and state-dependent measure of integrated information, phi, which captures the repertoire of causal states available to a system as a whole. Specifically, phi quantifies how much information is generated (uncertainty is reduced when a system enters a particular state through causal interactions among its elements, above and beyond the information generated independently by its parts. Such mathematical characterization is motivated by the observation that integrated information captures two key phenomenological properties of consciousness: (i there is a large repertoire of conscious experiences so that, when one particular experience occurs, it generates a large amount of information by ruling out all the others; and (ii this information is integrated, in that each experience appears as a whole that cannot be decomposed into independent parts. This paper extends previous work on stationary systems and applies integrated information to discrete networks as a function of their dynamics and causal architecture. An analysis of basic examples indicates the following: (i phi varies depending on the state entered by a network, being higher if active and inactive elements are balanced and lower if the network is inactive or hyperactive. (ii phi varies for systems with identical or similar surface dynamics depending on the underlying causal architecture, being low for systems that merely copy or replay activity states. (iii phi varies as a function of network architecture. High phi values can be obtained by architectures that conjoin functional specialization with functional integration. Strictly modular and homogeneous systems cannot generate high phi because the former lack integration, whereas the latter lack information. Feedforward and lattice architectures are capable of generating high phi but are inefficient. (iv In Hopfield networks, phi is low for attractor states and neutral states, but increases if the networks

  9. Modeling community integration in workers with delayed recovery from mild traumatic brain injury

    Mollayeva, Tatyana; Shapiro, Colin M; Mollayeva, Shirin; Cassidy, J David; Colantonio, Angela


    Background Delayed recovery in persons after mild traumatic brain injury (mTBI) is poorly understood. Community integration (CI) is endorsed by persons with neurological disorders as an important outcome. We aimed to describe CI and its associated factors in insured Ontario workers with delayed recovery following mTBI. Methods A cross-sectional study of insured workers in the chronic phase following mTBI was performed at a rehabilitation hospital in Ontario, Canada. Sociodemographic, occupati...

  10. Integration of Multidisciplinary Sensory Data:: A Pilot Model of the Human Brain Project Approach

    Miller, Perry L.; Nadkarni, Prakash; Singer, Michael; Marenco, Luis; Hines, Michael; Shepherd, Gordon


    The paper provides an overview of neuroinformatics research at Yale University being performed as part of the national Human Brain Project. This research is exploring the integration of multidisciplinary sensory data, using the olfactory system as a model domain. The neuroinformatics activities fall into three main areas: 1) building databases and related tools that support experimental olfactory research at Yale and can also serve as resources for the field as a whole, 2) using computer mode...

  11. Integrated Semiconductor Optical Sensors for Chronic, Minimally-Invasive Imaging of Brain Function

    Lee, Thomas T.; Levi, Ofer; Cang, Jianhua; Kaneko, Megumi; Stryker, Michael P.; Smith, Stephen J; Shenoy, Krishna V.; Harris, James S.


    Intrinsic Optical Signal (IOS) imaging is a widely accepted technique for imaging brain activity. We propose an integrated device consisting of interleaved arrays of gallium arsenide (GaAs) based semiconductor light sources and detectors operating at telecommunications wavelengths in the near-infrared. Such a device will allow for long-term, minimally invasive monitoring of neural activity in freely behaving subjects, and will enable the use of structured illumination patterns to improve syst...

  12. Modeling dynamic functional information flows on large-scale brain networks.

    Lv, Peili; Guo, Lei; Hu, Xintao; Li, Xiang; Jin, Changfeng; Han, Junwei; Li, Lingjiang; Liu, Tianming


    Growing evidence from the functional neuroimaging field suggests that human brain functions are realized via dynamic functional interactions on large-scale structural networks. Even in resting state, functional brain networks exhibit remarkable temporal dynamics. However, it has been rarely explored to computationally model such dynamic functional information flows on large-scale brain networks. In this paper, we present a novel computational framework to explore this problem using multimodal resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI) data. Basically, recent literature reports including our own studies have demonstrated that the resting state brain networks dynamically undergo a set of distinct brain states. Within each quasi-stable state, functional information flows from one set of structural brain nodes to other sets of nodes, which is analogous to the message package routing on the Internet from the source node to the destination. Therefore, based on the large-scale structural brain networks constructed from DTI data, we employ a dynamic programming strategy to infer functional information transition routines on structural networks, based on which hub routers that most frequently participate in these routines are identified. It is interesting that a majority of those hub routers are located within the default mode network (DMN), revealing a possible mechanism of the critical functional hub roles played by the DMN in resting state. Also, application of this framework on a post trauma stress disorder (PTSD) dataset demonstrated interesting difference in hub router distributions between PTSD patients and healthy controls. PMID:24579202

  13. Integrating medical and research information: a big data approach.

    Tilve Álvarez, Carlos M; Ayora Pais, Alberto; Ruíz Romero, Cristina; Llamas Gómez, Daniel; Carrajo García, Lino; Blanco García, Francisco J; Vázquez González, Guillermo


    Most of the information collected in different fields by Instituto de Investigación Biomédica de A Coruña (INIBIC) is classified as unstructured due to its high volume and heterogeneity. This situation, linked to the recent requirement of integrating it to the medical information, makes it necessary to implant specific architectures to collect and organize it before it can be analysed. The purpose of this article is to present the Hadoop framework as a solution to the problem of integrating research information in the Business Intelligence field. This framework can collect, explore, process and structure the aforementioned information, which allow us to develop an equivalent function to a data mart in an Intelligence Business system. PMID:25991244

  14. Integrated content presentation for multilingual and multimedia information access

    Jones, Gareth J.F.; WADE, VINCENT


    For multilingual and multimedia information retrieval from multiple potentially distributed collections generating the output in the form of standard ranked lists may often mean that a user has to explore the contents of many lists before finding sufficient relevant or linguistically accessible material to satisfy their information need. In some situations delivering an integrated multilingual multimedia presentation could enable the user to explore a topic allowing them to select...

  15. Brain network analysis: separating cost from topology using cost-integration.

    Cedric E Ginestet

    Full Text Available A statistically principled way of conducting brain network analysis is still lacking. Comparison of different populations of brain networks is hard because topology is inherently dependent on wiring cost, where cost is defined as the number of edges in an unweighted graph. In this paper, we evaluate the benefits and limitations associated with using cost-integrated topological metrics. Our focus is on comparing populations of weighted undirected graphs that differ in mean association weight, using global efficiency. Our key result shows that integrating over cost is equivalent to controlling for any monotonic transformation of the weight set of a weighted graph. That is, when integrating over cost, we eliminate the differences in topology that may be due to a monotonic transformation of the weight set. Our result holds for any unweighted topological measure, and for any choice of distribution over cost levels. Cost-integration is therefore helpful in disentangling differences in cost from differences in topology. By contrast, we show that the use of the weighted version of a topological metric is generally not a valid approach to this problem. Indeed, we prove that, under weak conditions, the use of the weighted version of global efficiency is equivalent to simply comparing weighted costs. Thus, we recommend the reporting of (i differences in weighted costs and (ii differences in cost-integrated topological measures with respect to different distributions over the cost domain. We demonstrate the application of these techniques in a re-analysis of an fMRI working memory task. We also provide a Monte Carlo method for approximating cost-integrated topological measures. Finally, we discuss the limitations of integrating topology over cost, which may pose problems when some weights are zero, when multiplicities exist in the ranks of the weights, and when one expects subtle cost-dependent topological differences, which could be masked by cost-integration.

  16. Geographic information processing in the Integrated Measuring and Information System (IMIS). An overview

    As most public administrations the Federal Office for Radiation Protection faces various tasks and requirements with geographic information playing an important role. All the more this is true for the Department of Emergency Protection with its Integrated Measuring and Information System (IMIS) and the tasks of information provision for the public. Crucial part in geographic information extraction and provision is cartographic representation. In BfS the different requirements shall be met by a common software architecture, based on web services.


    Aleksandrov I. N.


    Full Text Available Strategically significant dealings of bussines entities’ amalgamation and absorption are revised in the article. It presents the methods and information supply of the evaluation the business entity’s potential and the evaluation of potential increment of a business entity as a result of integration


    Aleksandrov I. N.; Fedorova M. Y.


    Strategically significant dealings of bussines entities’ amalgamation and absorption are revised in the article. It presents the methods and information supply of the evaluation the business entity’s potential and the evaluation of potential increment of a business entity as a result of integration

  19. Conducting Institutional Research Using an Integrated Student Information System.

    Yost, Michael

    The use of an integrated student information system (ISIS) to conduct institutional research at Trinity University is discussed. The types of data contained in the system, which has 59 files, include: student characteristics, recruitment, financial aid, registration, faculty load, and class scheduling. The data for students, faculty, departments,…

  20. Integration of Informal Music Technologies in Secondary School Music Lessons

    Stowell, Dan; Dixon, Simon


    Technologies such as YouTube, mobile phones and MP3 players are increasingly integrated into secondary school music in the UK. At the same time, the gap between formal and informal music learning is being bridged by the incorporation of students' preferred music into class activities. We conducted an ethnographic study in two secondary…

  1. Integration of Heterogeneous Bibliographic Information through Data Abstractions.

    Breazeal, Juliette Ow

    This study examines the integration of heterogeneous bibliographic information resources from geographically distributed locations in an automated, unified, and controlled way using abstract data types called "classes" through the Message-Object Model defined in Smalltalk-80 software. The concept of achieving data consistency by developing classes…

  2. Economic integration in North America: Formal, Informal and Spatial Aspects.

    Proulx, P.P.


    An exemination of a series of indicators of economic integration in the western hemisphere (Canada-USA-Latin America) indicates that it is proceeding under the influence of formal trade agreements and informal forces including technological change, multinational firm rationalization and location strategies, etc.

  3. Measuring Information and Communication Technology (ICT) Curriculum Integration

    Proctor, Romina M. J.; Watson, Glenice; Finger, Glenn


    There is currently a trend toward the development of methodologies to measure Information and Communication Technology (ICT) curriculum integration and its resultant impact on student learning outcomes. Simplistic, negative correlations between numbers of classroom computers and standardized literacy and numeracy test results provide headlines for…

  4. Disruption of White Matter Integrity in Adult Survivors of Childhood Brain Tumors: Correlates with Long-Term Intellectual Outcomes

    King, Tricia Z.; Liya Wang; Hui Mao


    Background Although chemotherapy and radiation treatment have contributed to increased survivorship, treatment-induced brain injury has been a concern when examining long-term intellectual outcomes of survivors. Specifically, disruption of brain white matter integrity and its relationship to intellectual outcomes in adult survivors of childhood brain tumors needs to be better understood. Methods Fifty-four participants underwent diffusion tensor imaging in addition to structural MRI and an in...

  5. Systems Information Therapy and the central role of the brain in allostasis

    This work arose from the necessity to up date and clarify some basic concepts in contemporary medical practice such as those of health, disease, therapy and prevention. According to this perspective the work starts with a general epistemological review and goes on with an epistemological revision of biology and medicine. The concept of adaptation and the central role of the brain is then analysed and stated as the base to next consideration and deepening from a biophysical perspective. Physio-pathology of adaptation is assumed as a key concept in the definition and in the understanding of health and disease. A huge amount of endogenous and external stimuli has to be processed and response to them may lead to increase, stability or decrease of coherence in agreement with Frohlich's pioneering ideas. In this framework, the concept of stress, allostasis and allostatic load are outlined. Allostasis is defined as the capability of keeping stability through dynamic changes. A particular attention is paid to the emerging paradigms in biology and medicine especially those of system biology and system medicine trying to integrate the concept of complexity and hierarchical organization of the information flow in living organisms and in humans. In this framework biophysical signalling could play a significant role in modulating endogenous dynamics and in mediating external interactions. Additionally biophysical mechanisms could be involved in biological systems inner communication and could be responsible for the maintenance of systems inner coherence. The integration of the biophysical paradigm into contemporary medical practice is leading from one side to a better understanding of many pathways in physiopathology and from the other side to some new effective clinical applications. System Information Therapy is, for instance, is rising as a suitable and coherent tool in the application of thise concept being able to restore the self regulation and self regeneration

  6. Information flow between interacting human brains: Identification, validation, and relationship to social expertise.

    Bilek, Edda; Ruf, Matthias; Schäfer, Axel; Akdeniz, Ceren; Calhoun, Vince D; Schmahl, Christian; Demanuele, Charmaine; Tost, Heike; Kirsch, Peter; Meyer-Lindenberg, Andreas


    Social interactions are fundamental for human behavior, but the quantification of their neural underpinnings remains challenging. Here, we used hyperscanning functional MRI (fMRI) to study information flow between brains of human dyads during real-time social interaction in a joint attention paradigm. In a hardware setup enabling immersive audiovisual interaction of subjects in linked fMRI scanners, we characterize cross-brain connectivity components that are unique to interacting individuals, identifying information flow between the sender's and receiver's temporoparietal junction. We replicate these findings in an independent sample and validate our methods by demonstrating that cross-brain connectivity relates to a key real-world measure of social behavior. Together, our findings support a central role of human-specific cortical areas in the brain dynamics of dyadic interactions and provide an approach for the noninvasive examination of the neural basis of healthy and disturbed human social behavior with minimal a priori assumptions. PMID:25848050

  7. A Methodology to Extract Information from the Brain Waves in a Multi-Core Environment

    Krishnakumar Venkatasubramanian; M. Rajasekhara Babu


    Brain Computer Interface (BCI) is one of the most dynamic fields in the world of Artificial Intelligence. It involves a direct neural interface between the subject and the machine, and the information is extracted from the brain in the form of waves. This raw brain-wave needs to be classified, de-noised, translated and suitably stored. These steps involve the use of a number of techniques like, thede-noising involves the use of Discrete Wavelet Transform (DWT) [1] or Recurrent Quantum Neural ...

  8. Information flow between interacting human brains: Identification, validation, and relationship to social expertise

    Bilek, Edda; Ruf, Matthias; Schäfer, Axel; Akdeniz, Ceren; Calhoun, Vince D.; Schmahl, Christian; Demanuele, Charmaine; Tost, Heike; Kirsch, Peter; Meyer-Lindenberg, Andreas


    Social interaction is the likely driver of human brain evolution, critical for health, and underlies phenomena as varied as childhood development, stock market behavior, and much of what is studied in the humanities. However, appropriate experimental methods to study the underlying brain processes are still developing and technically challenging. Here, we extend previous pioneering approaches in neuroimaging [functional MRI (fMRI) hyperscanning] to provide a method for studying information fl...

  9. Sharing self-related information is associated with intrinsic functional connectivity of cortical midline brain regions.

    Meshi, Dar; Mamerow, Loreen; Kirilina, Evgeniya; Morawetz, Carmen; Margulies, Daniel S; Heekeren, Hauke R


    Human beings are social animals and they vary in the degree to which they share information about themselves with others. Although brain networks involved in self-related cognition have been identified, especially via the use of resting-state experiments, the neural circuitry underlying individual differences in the sharing of self-related information is currently unknown. Therefore, we investigated the intrinsic functional organization of the brain with respect to participants' degree of self-related information sharing using resting state functional magnetic resonance imaging and self-reported social media use. We conducted seed-based correlation analyses in cortical midline regions previously shown in meta-analyses to be involved in self-referential cognition: the medial prefrontal cortex (MPFC), central precuneus (CP), and caudal anterior cingulate cortex (CACC). We examined whether and how functional connectivity between these regions and the rest of the brain was associated with participants' degree of self-related information sharing. Analyses revealed associations between the MPFC and right dorsolateral prefrontal cortex (DLPFC), as well as the CP with the right DLPFC, the left lateral orbitofrontal cortex and left anterior temporal pole. These findings extend our present knowledge of functional brain connectivity, specifically demonstrating how the brain's intrinsic functional organization relates to individual differences in the sharing of self-related information. PMID:26948055

  10. Separate Brain Circuits Support Integrative and Semantic Priming in the Human Language System.

    Feng, Gangyi; Chen, Qi; Zhu, Zude; Wang, Suiping


    Semantic priming is a crucial phenomenon to study the organization of semantic memory. A novel type of priming effect, integrative priming, has been identified behaviorally, whereby a prime word facilitates recognition of a target word when the 2 concepts can be combined to form a unitary representation. We used both functional and anatomical imaging approaches to investigate the neural substrates supporting such integrative priming, and compare them with those in semantic priming. Similar behavioral priming effects for both semantic (Bread-Cake) and integrative conditions (Cherry-Cake) were observed when compared with an unrelated condition. However, a clearly dissociated brain response was observed between these 2 types of priming. The semantic-priming effect was localized to the posterior superior temporal and middle temporal gyrus. In contrast, the integrative-priming effect localized to the left anterior inferior frontal gyrus and left anterior temporal cortices. Furthermore, fiber tractography showed that the integrative-priming regions were connected via uncinate fasciculus fiber bundle forming an integrative circuit, whereas the semantic-priming regions connected to the posterior frontal cortex via separated pathways. The results point to dissociable neural pathways underlying the 2 distinct types of priming, illuminating the neural circuitry organization of semantic representation and integration. PMID:26209843

  11. The Human Brain and Information Science: Lessons from Popular Neuroscience

    Paul Sturges


    Full Text Available Insights from the recent wealth of popular books on neuroscience are offered to suggest a strengthening of theory in information science. Information theory has traditionally neglected the human dimension in favour of 'scientific' theory often derived from the Shannon-Weaver model. Neuroscientists argue in excitingly fresh ways from the evidence of case studies, non-intrusive experimentation and the measurements that can be obtained from technologies that include electroencephalography, positron emission tomography (PET, functional magnetic resonance imaging (fMRI, and magnetoencephalography (MEG. The way in which the findings of neuroscience intersect with ideas such as those of Kahneman on fast and slow thinking and Csikszentmihalyi on flow, is tentatively explored as lines of connection with information science. It is argued that the beginnings of a theoretical underpinning for current web-based information searching in relation to established information retrieval methods can be drawn from this.

  12. Melatonin Preserves Blood-Brain Barrier Integrity and Permeability via Matrix Metalloproteinase-9 Inhibition

    Alluri, Himakarnika; Wilson, Rickesha L.; Anasooya Shaji, Chinchusha; Wiggins-Dohlvik, Katie; Patel, Savan; Liu, Yang; Peng, Xu; Beeram, Madhava R.; Davis, Matthew L.; Huang, Jason H.; Tharakan, Binu


    Microvascular hyperpermeability that occurs at the level of the blood-brain barrier (BBB) often leads to vasogenic brain edema and elevated intracranial pressure following traumatic brain injury (TBI). At a cellular level, tight junction proteins (TJPs) between neighboring endothelial cells maintain the integrity of the BBB via TJ associated proteins particularly, zonula occludens-1 (ZO-1) that binds to the transmembrane TJPs and actin cytoskeleton intracellularly. The pro-inflammatory cytokine, interleukin-1β (IL-1β) as well as the proteolytic enzymes, matrix metalloproteinase-9 (MMP-9) are key mediators of trauma-associated brain edema. Recent studies indicate that melatonin a pineal hormone directly binds to MMP-9 and also might act as its endogenous inhibitor. We hypothesized that melatonin treatment will provide protection against TBI-induced BBB hyperpermeability via MMP-9 inhibition. Rat brain microvascular endothelial cells grown as monolayers were used as an in vitro model of the BBB and a mouse model of TBI using a controlled cortical impactor was used for all in vivo studies. IL-1β (10 ng/mL; 2 hours)-induced endothelial monolayer hyperpermeability was significantly attenuated by melatonin (10 μg/mL; 1 hour), GM6001 (broad spectrum MMP inhibitor; 10 μM; 1 hour), MMP-9 inhibitor-1 (MMP-9 specific inhibitor; 5 nM; 1 hour) or MMP-9 siRNA transfection (48 hours) in vitro. Melatonin and MMP-9 inhibitor-1 pretreatment attenuated IL-1β-induced MMP-9 activity, loss of ZO-1 junctional integrity and f-actin stress fiber formation. IL-1β treatment neither affected ZO-1 protein or mRNA expression or cell viability. Acute melatonin treatment attenuated BBB hyperpermeability in a mouse controlled cortical impact model of TBI in vivo. In conclusion, one of the protective effects of melatonin against BBB hyperpermeability occurs due to enhanced BBB integrity via MMP-9 inhibition. In addition, acute melatonin treatment provides protection against BBB

  13. An Integrated Information Retrieval Support System for Campus Network


    This paper presents a new integrated information retrieval support system (IIRSS) which can help Web search engines retrieve cross-lingual information from heterogeneous resources stored in multi-databases in Intranet. The IIRSS, with a three-layer architecture, can cooperate with other application servers running in Intranet. By using intelligent agents to collect information and to create indexes on-the-fly, using an access control strategy to confine a user to browsing those accessible documents for him/her through a single portal, and using a new cross-lingual translation tool to help the search engine retrieve documents, the new system provides controllable information access with different authorizations, personalized services, and real-time information retrieval.

  14. Comparative Evaluation for Brain Structural Connectivity Approaches: Towards Integrative Neuroinformatics Tool for Epilepsy Clinical Research.

    Yang, Sheng; Tatsuoka, Curtis; Ghosh, Kaushik; Lacuey-Lecumberri, Nuria; Lhatoo, Samden D; Sahoo, Satya S


    Recent advances in brain fiber tractography algorithms and diffusion Magnetic Resonance Imaging (MRI) data collection techniques are providing new approaches to study brain white matter connectivity, which play an important role in complex neurological disorders such as epilepsy. Epilepsy affects approximately 50 million persons worldwide and it is often described as a disorder of the cortical network organization. There is growing recognition of the need to better understand the role of brain structural networks in the onset and propagation of seizures in epilepsy using high resolution non-invasive imaging technologies. In this paper, we perform a comparative evaluation of two techniques to compute structural connectivity, namely probabilistic fiber tractography and statistics derived from fractional anisotropy (FA), using diffusion MRI data from a patient with rare case of medically intractable insular epilepsy. The results of our evaluation demonstrate that probabilistic fiber tractography provides a more accurate map of structural connectivity and may help address inherent complexities of neural fiber layout in the brain, such as fiber crossings. This work provides an initial result towards building an integrative informatics tool for neuroscience that can be used to accurately characterize the role of fiber tract connectivity in neurological disorders such as epilepsy. PMID:27570685

  15. The cumulative effect of genetic polymorphisms on depression and brain structural integrity.

    Kostic, Milutin; Canu, Elisa; Agosta, Federica; Munjiza, Ana; Novakovic, Ivana; Dobricic, Valerija; Maria Ferraro, Pilar; Miler Jerkovic, Vera; Pekmezovic, Tatjana; Lecic Tosevski, Dusica; Filippi, Massimo


    In major depressive disorder (MDD), the need to study multiple-gene effect on brain structure is emerging. Our aim was to assess the effect of accumulation of specific SERT, BDNF and COMT gene functional polymorphisms on brain structure in MDD patients. Seventy-seven MDD patients and 66 controls underwent a clinical assessment, genetic testing and MRI scan. Compared with controls, patients were more BDNF-Val homozygotes, COMT-Met carriers and SERT-L' carriers. Thus, subjects were split into three groups: 1. High-frequency susceptibility polymorphism group (hfSP, subjects with all three SPs); 2. Intermediate-frequency SP group (ifSP, two SPs); and 3. Low-frequency SP group (lfSP, one/none SP). Cortical thickness, volumetry of hippocampus, amygdala and subcortical structures, and white matter (WM) tract integrity were assessed. Compared to controls, hfSP patients showed thinning of the middle frontal cortex bilaterally, left frontal pole, and right lateral occipital cortex, and smaller hippocampal volume bilaterally; and both hfSP and lfSP patient groups showed thinning of the left inferior parietal cortex and reduced WM integrity of the corpus callosum. Compared to patients, hfSP controls showed greater integrity of the fronto-occipital cortices and corpus callosum. We showed that cortical prefrontal and occipital damage of MDD patients is modulated by the SP accumulation, while damage to the parietal cortex and corpus callosum seem to be independent of genetic accumulation. HfSP controls may experience protective mechanisms leading to a preserved integrity of critical cortical and WM regions. Investigating the effect of multiple genes is promising to understand the pathological mechanisms underlying MDD. Hum Brain Mapp 37:2173-2184, 2016. © 2016 Wiley Periodicals, Inc. PMID:26956059

  16. Hermes, the Information Messenger, Integrating Information Services and Delivering Them to the End User.

    Coello-Coutino, Gerardo; Ainsworth, Shirley; Escalante-Gonzalbo, Ana Marie


    Describes Hermes, a research tool that uses specially designed acquisition, parsing and presentation methods to integrate information resources on the Internet, from searching in disparate bibliographic databases, to accessing full text articles online, and developing a web of information associated with each reference via one common interface.…

  17. A prospective study to evaluate a new residential community reintegration programme for severe chronic brain injury: the Brain Integration Programme.

    Geurtsen, G.J.; Martina, J.D.; Heugten, C.M. van; Geurts, A.C.H.


    PURPOSE: To assess the effectiveness of a residential community reintegration programme for participants with chronic sequelae of severe acquired brain injury that hamper community functioning. DESIGN: Prospective cohort study. SUBJECTS: Twenty-four participants with acquired brain injury (traumatic

  18. Mobile Restaurant Information System Integrating Reservation Navigating and Parking Management

    Chih-Yao Lo,


    Full Text Available In recent years, with the pace of technological development, people have become more and more demanding in terms of quality of life. At the same time the restaurant industry has become one of the largest industries in the world. To follow international trends and development in the restaurant business in Taiwan, various types of theme restaurants and cafes have emerged. Needless to saycompetition is intense. In such an environment, raising service quality and management performance are the foremost goals; informatization is the key to these goals. A restaurant information system is the digital nervous system of restaurant management, containing all the relevant processes. Management can understand operational conditions through a restaurant information system and respond to them. They can become aware of competitor challenges or customer needs and then formulate strategies accordingly. A restaurant information system combines software and hardware; it provides restaurant management with precise, direct, and abundant information, which can enhance insight and productivity.This study developed a restaurant information system aimed at online restaurant services and information management. Combined with a parking management system and GPS navigating technology, this powerful system applies object-oriented techniques; the extensibility of object-oriented systems allows integration with different information system cores, providing diversified management and new informational services. Functions can be easily extended, increasing the flexibility of the system. This information system can enhance competition, create overall advantage, and increase operationalefficiency and performance.

  19. High-accuracy brain-machine interfaces using feedback information.

    Hong Gi Yeom

    Full Text Available Sensory feedback is very important for movement control. However, feedback information has not been directly used to update movement prediction model in the previous BMI studies, although the closed-loop BMI system provides the visual feedback to users. Here, we propose a BMI framework combining image processing as the feedback information with a novel prediction method. The feedback-prediction algorithm (FPA generates feedback information from the positions of objects and modifies movement prediction according to the information. The FPA predicts a target among objects based on the movement direction predicted from the neural activity. After the target selection, the FPA modifies the predicted direction toward the target and modulates the magnitude of the predicted vector to easily reach the target. The FPA repeats the modification in every prediction time points. To evaluate the improvements of prediction accuracy provided by the feedback, we compared the prediction performances with feedback (FPA and without feedback. We demonstrated that accuracy of movement prediction can be considerably improved by the FPA combining feedback information. The accuracy of the movement prediction was significantly improved for all subjects (P<0.001 and 32.1% of the mean error was reduced. The BMI performance will be improved by combining feedback information and it will promote the development of a practical BMI system.

  20. Fusing in vivo and ex vivo NMR sources of information for brain tumor classification

    In this study we classify short echo-time brain magnetic resonance spectroscopic imaging (MRSI) data by applying a model-based canonical correlation analyses algorithm and by using, as prior knowledge, multimodal sources of information coming from high-resolution magic angle spinning (HR-MAS), MRSI and magnetic resonance imaging. The potential and limitations of fusing in vivo and ex vivo nuclear magnetic resonance sources to detect brain tumors is investigated. We present various modalities for multimodal data fusion, study the effect and the impact of using multimodal information for classifying MRSI brain glial tumors data and analyze which parameters influence the classification results by means of extensive simulation and in vivo studies. Special attention is drawn to the possibility of considering HR-MAS data as a complementary dataset when dealing with a lack of MRSI data needed to build a classifier. Results show that HR-MAS information can have added value in the process of classifying MRSI data

  1. Spatial smoothing hurts localization but not information: pitfalls for brain mappers.

    Kamitani, Yukiyasu; Sawahata, Yasuhito


    Op de Beeck (Op de Beeck, H., 2009. Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses? Neuroimage) challenges the possibility of extracting information from subvoxel representations via random biases associated with voxel sampling, the hypothesis proposed by Kamitani and Tong (Kamitani, Y., Tong, F., 2005. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8, 679-685). Here, we show that his results provide no evidence against the possibility, being consistent with both of the subvoxel and supravoxel representation models. Classification of spatially smoothed fMRI data is not an effective means to probe into information sources for multivoxel decoding, since smoothing does not hurt the information contents of multivoxel patterns. We point out the danger of interpreting multivoxel decoding results based on intuitions guided by the conventional brain mapping paradigm. PMID:19559797

  2. On the variability of the McGurk effect : Audiovisual integration depends on prestimulus brain states

    Keil, Julian; Müller, Nadia; Ihssen, Niklas; Weisz, Nathan


    The McGurk effect demonstrates the influence of visual cues on auditory perception. Mismatching information from both sensory modalities can fuse to a novel percept that matches neither the 10 auditory nor the visual stimulus. This illusion is reported in 60--80% of trials. We were interested in the impact of ongoing brain oscillations—indexed by fluctuating local excitability and interareal synchronization—on upcoming perception of identical stimuli. The perception of the McGurk effect is pr...

  3. Demystifying the hospital information system/radiology information system integration process

    Johnson, Neil D.; Garofolo, Gregory; Geers, Wayne


    Most organizations planning to implement picture archiving and communications systems (PACS) are aware of the need to integrate the hospital information system (HIS) and radiology information system (RIS) with the PACS, yet few are acutely aware of the challenges associated with this requirement. This report highlights the results of collaborative efforts between Children’s Hospital Medical Center-Cincinnati (CHMC) applications specialists with expertise in the HIS and CHMC information system...

  4. Report of traumatic brain injury information sources among OIF/OEF Veterans undergoing polytrauma evaluations

    Robert J. Spencer, PhD; Adam P. McGuire; Heather A. Tree, PhD; Brigid Waldron-Perrine, PhD; ­Percival H. Pangilinan, MD; Linas A. Bieliauskas, PhD


    Servicemembers returning from recent conflicts frequently report symptoms associated with traumatic brain injury (TBI) and are subsequently assessed within the Department of Veterans Affairs (VA) medical system. Information on potential cognitive and behavioral correlates of TBI is available from multiple sources. A Veteran’s symptom presentation may be significantly influenced by the information he or she has received. Despite knowledge of the relationship between information source and symp...

  5. A secure web-based approach for accessing transitional health information for people with traumatic brain injury.

    Lemaire, E D; Deforge, D; Marshall, S; Curran, D


    A web-based transitional health record was created to provide regional healthcare professionals with ubiquitous access to information on people with brain injuries as they move through the healthcare system. Participants included public, private, and community healthcare organizations/providers in Eastern Ontario (Canada). One hundred and nineteen service providers and 39 brain injury survivors registered over 6 months. Fifty-eight percent received English and 42% received bilingual services (English-French). Public health providers contacted the regional service coordinator more than private providers (52% urban centres, 26% rural service providers, and 22% both areas). Thirty-five percent of contacts were for technical difficulties, 32% registration inquiries, 21% forms and processes, 6% resources, and 6% education. Seventeen technical enquiries required action by technical support personnel: 41% digital certificates, 29% web forms, and 12% log-in. This web-based approach to clinical information sharing provided access to relevant data as clients moved through or re-entered the health system. Improvements include automated digital certificate management, institutional health records system integration, and more referral tracking tools. More sensitive test data could be accessed on-line with increasing consumer/clinician confidence. In addition to a strong technical infrastructure, human resource issues are a major information security component and require continuing attention to ensure a viable on-line information environment. PMID:16469409

  6. Transit light curves with finite integration time: Fisher information analysis

    Kepler has revolutionized the study of transiting planets with its unprecedented photometric precision on more than 150,000 target stars. Most of the transiting planet candidates detected by Kepler have been observed as long-cadence targets with 30 minute integration times, and the upcoming Transiting Exoplanet Survey Satellite will record full frame images with a similar integration time. Integrations of 30 minutes affect the transit shape, particularly for small planets and in cases of low signal to noise. Using the Fisher information matrix technique, we derive analytic approximations for the variances and covariances on the transit parameters obtained from fitting light curve photometry collected with a finite integration time. We find that binning the light curve can significantly increase the uncertainties and covariances on the inferred parameters when comparing scenarios with constant total signal to noise (constant total integration time in the absence of read noise). Uncertainties on the transit ingress/egress time increase by a factor of 34 for Earth-size planets and 3.4 for Jupiter-size planets around Sun-like stars for integration times of 30 minutes compared to instantaneously sampled light curves. Similarly, uncertainties on the mid-transit time for Earth and Jupiter-size planets increase by factors of 3.9 and 1.4. Uncertainties on the transit depth are largely unaffected by finite integration times. While correlations among the transit depth, ingress duration, and transit duration all increase in magnitude with longer integration times, the mid-transit time remains uncorrelated with the other parameters. We provide code in Python and Mathematica for predicting the variances and covariances at

  7. Impaired Visual Integration in Children with Traumatic Brain Injury: An Observational Study.

    Marsh Königs

    Full Text Available Axonal injury after traumatic brain injury (TBI may cause impaired sensory integration. We aim to determine the effects of childhood TBI on visual integration in relation to general neurocognitive functioning.We compared children aged 6-13 diagnosed with TBI (n = 103; M = 1.7 years post-injury to children with traumatic control (TC injury (n = 44. Three TBI severity groups were distinguished: mild TBI without risk factors for complicated TBI (mildRF- TBI, n = 22, mild TBI with ≥1 risk factor (mildRF+ TBI, n = 46 or moderate/severe TBI (n = 35. An experimental paradigm measured speed and accuracy of goal-directed behavior depending on: (1 visual identification; (2 visual localization; or (3 both, measuring visual integration. Group-differences on reaction time (RT or accuracy were tracked down to task strategy, visual processing efficiency and extra-decisional processes (e.g. response execution using diffusion model analysis. General neurocognitive functioning was measured by a Wechsler Intelligence Scale short form.The TBI group had poorer accuracy of visual identification and visual integration than the TC group (Ps ≤ .03; ds ≤ -0.40. Analyses differentiating TBI severity revealed that visual identification accuracy was impaired in the moderate/severe TBI group (P = .05, d = -0.50 and that visual integration accuracy was impaired in the mildRF+ TBI group and moderate/severe TBI group (Ps < .02, ds ≤ -0.56. Diffusion model analyses tracked impaired visual integration accuracy down to lower visual integration efficiency in the mildRF+ TBI group and moderate/severe TBI group (Ps < .001, ds ≤ -0.73. Importantly, intelligence impairments observed in the TBI group (P = .009, d = -0.48 were statistically explained by visual integration efficiency (P = .002.Children with mildRF+ TBI or moderate/severe TBI have impaired visual integration efficiency, which may contribute to poorer general neurocognitive functioning.

  8. Hypermedia integration of information resources for nuclear plant operations

    Computer hypermedia technologies offer significant possibilities for integrating data, information, and multifaceted knowledge resources abounding in existing and next-generation nuclear plant operations. A hypermedia system may be viewed as a set of nodes and links allowing nonlinear access to plant information residing in computers regardless of format. The process of accessing information in hypermedia systems is known as navigation. After a review of the state of the art, quantitative criteria are presented for the development of hypermedia databases and a fuzzy graph-based methodology for navigating the large information spaces involved in nuclear plant operations. In the developed methodology, membership functions embodying context-dependent criteria provide application-specific tools for navigation. The methodology is illustrated through numerical examples and a Hyper-Card-based prototypical system for monitoring special material in a next-generation nuclear reactor

  9. Methodology of Adaptive Integrated Accounting System in Information Environment

    Bochulya Tetyana V.


    Full Text Available The goal of the article lies in the study of logical and methodological justification of formation of the integrated system of accounting based on realities of the co-ordinated transformation of the society and economy and development of a new knowledge about formation and adjustment of the accounting system in it’s a priori new information competence with expansion of functionality for the justified idea of existence and development of business. Taking developments of the best representatives of the leading scientific society as a basis, the article offers a new vision of organisation of the accounting system, based on the modern projection of information competence and harmonisation of main processes of information service for adaptation of the system for multi-vector inquiries of consumers of information. Pursuant to results of the conducted study, the article makes an effort to change the established opinion about information and professional competences of the accounting system and attach a new qualitative significance to them. The article makes a proposal with respect to calculation of quality of the information system on the basis of key indicators of its information service. It lays the foundation of the prospective study of the problems of building the accounting system in such a projection, so that realities of internal and external processes were maximally co-ordinated based on the idea of their information development.

  10. Associations between brain white matter integrity and disease severity in obstructive sleep apnea.

    Tummala, Sudhakar; Roy, Bhaswati; Park, Bumhee; Kang, Daniel W; Woo, Mary A; Harper, Ronald M; Kumar, Rajesh


    Obstructive sleep apnea (OSA) is characterized by recurrent upper airway blockage, with continued diaphragmatic efforts to breathe during sleep. Brain structural changes in OSA appear in various regions, including white matter sites that mediate autonomic, mood, cognitive, and respiratory control. However, the relationships between brain white matter changes and disease severity in OSA are unclear. This study examines associations between an index of tissue integrity, magnetization transfer (MT) ratio values (which show MT between free and proton pools associated with tissue membranes and macromolecules), and disease severity (apnea-hypopnea index [AHI]) in OSA subjects. We collected whole-brain MT imaging data from 19 newly diagnosed, treatment-naïve OSA subjects (50.4 ± 8.6 years of age, 13 males, AHI 39.7 ± 24.3 events/hr], using a 3.0-Tesla MRI scanner. With these data, whole-brain MT ratio maps were calculated, normalized to common space, smoothed, and correlated with AHI scores by using partial correlation analyses (covariates, age and gender; P brain sites in OSA subjects, including superior and inferior frontal regions, ventral medial prefrontal cortex and nearby white matter, midfrontal white matter, insula, cingulate and cingulum bundle, internal and external capsules, caudate nuclei and putamen, basal forebrain, hypothalamus, corpus callosum, and temporal regions, showed principally lateralized negative correlations (P < 0.005). These regions showed significant correlations even with correction for multiple comparisons (cluster-level, family-wise error, P < 0.05), except for a few superior frontal areas. Predominantly negative correlations emerged between local MT values and OSA disease severity, indicating potential usefulness of MT imaging for examining the OSA condition. These findings indicate that OSA severity plays a significant role in white matter injury. © 2016 Wiley Periodicals, Inc. PMID:27315771