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A graph based characterization of functional resting state networks for patients with disorders of consciousness
Martínez, Darwin E.; Martínez, Johann H.; Rudas, Jorge E. et al.
2015In García Posada, Lorena; Vizcaya Guarín, Pedro (Eds.) 2015 20th Symposium on Signal Processing, Images and Computer Vision
 

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Keywords :
Brain; Computer vision; Diagnosis; Graphic methods; Image processing; Signal processing; Altered states of consciousness; Brain connectivity; Clustering coefficient; Functional connectivity; Functional network; Loss of consciousness; Network characterization; Temporal relationships; Complex networks
Abstract :
[en] Disorder of consciousness (DOC) is a consequence of severe brain injuries. Diagnosis of DOC is very challenging because it requires the patient collaboration. Research in hemodynamic brain activity in resting state conditions suggests that healthy brain is organized into large-scale resting state networks (RSNs) of sensory/cognitive relevance. Recently, relationships among these RSNs have been explored as a possible biomarker of loss of consciousness. The RSN functional connectivity is computed as the temporal relationship between pairs of RSNs time-courses. It results in the so called functional network of brain connectivity (FNC). The properties of this network in the DOC conditions remains poorly understood. In this work, we investigated some local complex network properties of the brain FNC, during altered states of consciousness. For this, we characterized a population of 49 DOC patients and 27 healthy controls. fMRI data was acquired and processed for each subject to built a FNC for each one. Network characterization was performed by computing the strength and the clustering coefficient measurements at individual level on the corresponding FNC. These nodal measurements allows to understand brain alterations of single RSN in the FNC. Our results show that strength and clustering variations may reflect brain network reconfiguration, and they may be associated to loss of consciousness states in patients with DOCs. © 2015 IEEE.
Disciplines :
Neurosciences & behavior
Author, co-author :
Martínez, Darwin E.;  Computer Science Department, Universidad Central, Bogotá, Colombia, Universidad Politécnica de Madrid, Spain
Martínez, Johann H.;  Universidad Nacional de Colombia, Bogotá, Colombia, Universidad Del Rosario, Bogota, Colombia
Rudas, Jorge E.;  Universidad Politécnica de Madrid, Spain
Demertzi, Athina  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Heine, Lizette ;  Université de Liège - ULiège > Centre de recherches du cyclotron
TSHIBANDA, Luaba ;  Centre Hospitalier Universitaire de Liège - CHU > Service médical de radiodiagnostic
Soddu, Andrea ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Laureys, Steven  ;  Université de Liège - ULiège > GIGA : Coma Group
Gómez, Francisco A.;  Computer Science Department, Universidad Central, Bogotá, Colombia
Language :
English
Title :
A graph based characterization of functional resting state networks for patients with disorders of consciousness
Publication date :
2015
Event name :
20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015
Event place :
Bogota, Colombia
Event date :
2 September 2015 through 4 September 2015
Audience :
International
Main work title :
2015 20th Symposium on Signal Processing, Images and Computer Vision
Author, co-author :
Vizcaya Guarín, Pedro
Editor :
García Posada, Lorena
Publisher :
Institute of Electrical and Electronics Engineers Inc.
ISBN/EAN :
978-146739461-1
Funders :
PUJ - Pontificia Universidad Javeriana [CO]
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