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
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Czech description
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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
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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
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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
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