Topological properties of functional brain connectivity in obsessive-compulsive disorder

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F16%3A43915047" target="_blank" >RIV/00023752:_____/16:43915047 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/16:00242863 RIV/68407700:21730/16:00242863

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-32703-7_32" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-32703-7_32</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-32703-7_32" target="_blank" >10.1007/978-3-319-32703-7_32</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Topological properties of functional brain connectivity in obsessive-compulsive disorder

Popis výsledku v původním jazyce

The paper is devoted to graph theoretical analysis of functional connectivity matrices of 96 patients diagnosed with obsessive-compulsive disorder (OCD) and 95 healthy controls. Connectivity matrices were obtained from electroencephalography (EEG) as a solution of inverse problem, each matrix contains functional connectivity of 84 regions of interest (ROIs) corresponding to segmentation according to the Brodmann areas. The connectivity matrix was converted into a graph by applying a threshold. Small-network characteristics such as clustering coefficient and characteristic path length were computed as a function of threshold for 4 frequency bands. It was shown that the level of clustering coefficient is significantly lower for the OCD group than for healthy controls, which means loss in local integration. Characteristic path length for OCD patients was significantly higher than for controls, which indicates loss in multi-scale connections. Regression analysis was used for understanding connection between topological features of the network and severity symptoms evaluated by the Yale-Brown Obsessive-Compulsive scale (Y-BOC). Direct relation was demonstrated between the severity of the disease and local integration properties in theta band (corelation coefficient 0.1870, p-value 0.018208).

Název v anglickém jazyce

Topological properties of functional brain connectivity in obsessive-compulsive disorder

Popis výsledku anglicky

The paper is devoted to graph theoretical analysis of functional connectivity matrices of 96 patients diagnosed with obsessive-compulsive disorder (OCD) and 95 healthy controls. Connectivity matrices were obtained from electroencephalography (EEG) as a solution of inverse problem, each matrix contains functional connectivity of 84 regions of interest (ROIs) corresponding to segmentation according to the Brodmann areas. The connectivity matrix was converted into a graph by applying a threshold. Small-network characteristics such as clustering coefficient and characteristic path length were computed as a function of threshold for 4 frequency bands. It was shown that the level of clustering coefficient is significantly lower for the OCD group than for healthy controls, which means loss in local integration. Characteristic path length for OCD patients was significantly higher than for controls, which indicates loss in multi-scale connections. Regression analysis was used for understanding connection between topological features of the network and severity symptoms evaluated by the Yale-Brown Obsessive-Compulsive scale (Y-BOC). Direct relation was demonstrated between the severity of the disease and local integration properties in theta band (corelation coefficient 0.1870, p-value 0.018208).

Druh

D - Stať ve sborníku

CEP obor

AN - Psychologie

OECD FORD obor

—

Projekt

<a href="/cs/project/ED2.1.00%2F03.0078" target="_blank" >ED2.1.00/03.0078: Národní ústav duševního zdraví</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

ISBN

978-3-319-32701-3

ISSN

1680-0737

e-ISSN

—

Počet stran výsledku

5

Strana od-do

157-161

Název nakladatele

Springer Nature

Místo vydání

Switzerland

Místo konání akce

Paphose, Cyprus

Datum konání akce

31. 3. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—