Functional resting state networks characterization through global network measurements for patients with disorders of consciousness

Darwin E. Martinez, Johann H. Martinez, Jorge Rudas, Athena Demertzi, Lizette Heine, Luaba Tshibanda, Andrea Soddu, Steven Laureys, Francisco Gomez

Research output: Chapter in Book/ReportConference contribution

1 Scopus citations


Disorders of consciousness (DOC) is a consequence of severe brain injuries. DOC diagnosis is quite challenging because it may require patient collaboration. Investigations of brain activity in resting conditions propose that healthy brain is organized into large-scale resting state networks (RSNs) of sensory/cognitive relevance. The complete set of RSN together with their corresponding interaction induce a functional network of brain connectivity (FNC). Recently, the connectivity pattern between pairs of RSNs have been explored as biomarker of loss of consciousness. The role of this FNC in the DOC conditions remains poorly understood. In this work, we propose to use a network analysis method to explore complex properties of the functional brain network induced by the connectivity among RSNs. In particular, we aim to characterize the communication quality among network nodes, which have been suggested to be linked to altered states of consciousness. The proposed approach was evaluated on a population of 27 healthy controls and 49 subjects with DOC conditions. fMRI data was obtained and processed for each subject to built a FNC at individual level. The communication quality among network nodes was quantified by using global efficiency, average characteristic path, diameter, radius, average strength and average clustering coefficient. Our results suggests that the information efficiency transfer at the global level decrease with the level the severity of the loss of consciousness condition. These results highlight the importance of graph based features to characterize brain complexity, and in particular, complex phenomena as consciousness emergence. In addition, our results can be potentially used in the development of novel methods to support diagnosis of patients with DOC conditions.

Original languageEnglish (US)
Title of host publication2015 10th Colombian Computing Conference, 10CCC 2015
EditorsOscar Gonzalez, Mario Sanchez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781467394642
StatePublished - Nov 20 2015
Event10th Colombian Computing Conference, 10CCC 2015 - Bogota, Colombia
Duration: Sep 21 2015Sep 25 2015

Publication series

Name2015 10th Colombian Computing Conference, 10CCC 2015


Conference10th Colombian Computing Conference, 10CCC 2015

All Science Journal Classification (ASJC) codes

  • General Computer Science


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