Using computational models to relate structural and functional brain connectivity

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Using computational models to relate structural and functional brain connectivity

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Using computational models to relate structural and functional brain connectivity

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

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Projekt

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

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

European Journal of Neuroscience

ISSN

0953-816X

e-ISSN

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Svazek periodika

36

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

2137-2145

Kód UT WoS článku

000306475300003

EID výsledku v databázi Scopus

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