All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AN - Psychology

  • OECD FORD branch

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

  • 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