Topological properties of functional brain connectivity in obsessive-compulsive disorder
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21230/16:00242863 RIV/68407700:21730/16:00242863
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Topological properties of functional brain connectivity in obsessive-compulsive disorder
Original language description
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).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AN - Psychology
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0078" target="_blank" >ED2.1.00/03.0078: National institute of Mental Health</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016
ISBN
978-3-319-32701-3
ISSN
1680-0737
e-ISSN
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Number of pages
5
Pages from-to
157-161
Publisher name
Springer Nature
Place of publication
Switzerland
Event location
Paphose, Cyprus
Event date
Mar 31, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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