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Using computational models to relate structural and functional brain connectivity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00380324" target="_blank" >RIV/67985807:_____/12:00380324 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1111/j.1460-9568.2012.08081.x" target="_blank" >http://dx.doi.org/10.1111/j.1460-9568.2012.08081.x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/j.1460-9568.2012.08081.x" target="_blank" >10.1111/j.1460-9568.2012.08081.x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using computational models to relate structural and functional brain connectivity

  • Original language description

    Modern imaging methods allow a non-invasive assessment of both structural and functional brain connectivity. This has lead to the identification of disease-related alterations affecting functional connectivity. The mechanism of how such alterations in functional connectivity arise in a structured network of interacting neural populations is as yet poorly understood. Here we use a modeling approach to explore the way in which this can arise and to highlight the important role that local population dynamics can have in shaping emergent spatial functional connectivity patterns. The local dynamics for a neural population is taken to be of the Wilson?Cowan type, whilst the structural connectivity patterns used, describing long-range anatomical connections,cover both realistic scenarios (from the CoComac database) and idealized ones that allow for more detailed theoretical study. We have calculated graph?theoretic measures of functional network topology from numerical simulations of model n

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/7E08027" target="_blank" >7E08027: Large scale interactions in brain networks and their breakdown in brain diseases</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European Journal of Neuroscience

  • ISSN

    0953-816X

  • e-ISSN

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    2137-2145

  • UT code for WoS article

    000306475300003

  • EID of the result in the Scopus database