Reduction of resting state network segregation is linked to disorders of consciousness

Jorge Rudas; Darwin Martínez; Javier Guaje; Athena Demertzi; Lizette Heine; Luaba Tshibanda; Andrea Soddu; Steven Laureys; Francisco Gómez

doi:10.1117/12.2207971

22 December 2015 Reduction of resting state network segregation is linked to disorders of consciousness

Jorge Rudas, Darwin Martínez, Javier Guaje, Athena Demertzi, Lizette Heine, Luaba Tshibanda, Andrea Soddu, Steven Laureys, Francisco Gómez

Author Affiliations +

Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 96810U (2015) https://doi.org/10.1117/12.2207971
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador

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.

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Jorge Rudas, Darwin Martínez, Javier Guaje, Athena Demertzi, Lizette Heine, Luaba Tshibanda, Andrea Soddu, Steven Laureys, and Francisco Gómez "Reduction of resting state network segregation is linked to disorders of consciousness", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810U (22 December 2015); https://doi.org/10.1117/12.2207971

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