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Proceedings Paper

Reduction of resting state network segregation is linked to disorders of consciousness
Author(s): Jorge Rudas; Darwin Martínez; Javier Guaje; Athena Demertzi; Lizette Heine; Luaba Tshibanda; Andrea Soddu; Steven Laureys; Francisco Gómez
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Paper Abstract

Recent evidence suggests that healthy brain is organized on large-scale in regions spatially distant and partially temporally synchronized. These regions commonly are called Resting State Networks (RSNs). Many RSNs has been identified in multiples spatial scales in healthy subjects and their interactions has been used to define the functional network connectivity (FNC). The main idea in FNC is that the dynamic shown in the interactions among RSNs in control subjects, can change in pathological and pharmacological conditions. However, this hypothesis assumes that functional structure of healthy brain, remains in other brain states or conditions. In this work, we proposed a novel methodology in order to find the new brain functional structure for disorders of consciousness conditions, based on multi-objective optimization approach. Particularly, we find the best partition of RSNs set, that maximize two modularity measures (Kapur and Otsu measures). Our results suggest that the brain segregation level, may be linked to consciousness level.

Paper Details

Date Published: 22 December 2015
PDF: 9 pages
Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810U (22 December 2015); doi: 10.1117/12.2207971
Show Author Affiliations
Jorge Rudas, Univ. Nacional de Colombia (Colombia)
Darwin Martínez, Univ. Nacional de Colombia (Colombia)
Univ. Central de Colombia (Colombia)
Javier Guaje, Univ. Nacional de Colombia (Colombia)
Athena Demertzi, Univ. de Liège (Belgium)
Lizette Heine, Univ. de Liège (Belgium)
Luaba Tshibanda, Univ. de Liège (Belgium)
Andrea Soddu, Western Univ. (Canada)
Steven Laureys, Univ. de Liège (Belgium)
Francisco Gómez, Univ. Central de Colombia (Colombia)

Published in SPIE Proceedings Vol. 9681:
11th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Juan D. García-Arteaga; Jorge Brieva, Editor(s)

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