1. Decreased integration of EEG source-space networks in disorders of consciousness
- Author
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Olivia Gosseries, Ahmad Mheich, Mahmoud Hassan, Helena Cassol, Rajanikant Panda, Sepehr Mortaheb, Fabrice Wendling, Camille Chatelle, Steven Laureys, Pascal Benquet, Jitka Annen, Hassan Amoud, Aurore Thibaut, Jennifer Rizkallah, Julien Modolo, Jonchère, Laurent, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Liège (CHU-Liège), 686764, Future Emerging Technologies, University and University Hospital of Liège, Belgian National Funds for Scientific Research, ARC - 06/11 - 340, French Speaking Community Concerted Research Action, Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Subjects
Adult ,Male ,medicine.medical_specialty ,Disorders of consciousness ,Electroencephalography ,Audiology ,lcsh:Computer applications to medicine. Medical informatics ,lcsh:RC346-429 ,03 medical and health sciences ,0302 clinical medicine ,Level of consciousness ,medicine ,Humans ,Unresponsive wakefulness syndrome ,lcsh:Neurology. Diseases of the nervous system ,ComputingMilieux_MISCELLANEOUS ,Minimally conscious state ,030304 developmental biology ,Balance (ability) ,Coma ,Brain network ,[SDV.IB] Life Sciences [q-bio]/Bioengineering ,0303 health sciences ,medicine.diagnostic_test ,Resting state fMRI ,Functional connectivity ,Brain ,High-density electroencephalography ,Functional brain networks ,Regular Article ,Middle Aged ,medicine.disease ,Consciousness Disorders ,lcsh:R858-859.7 ,Female ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,Nerve Net ,medicine.symptom ,Psychology ,030217 neurology & neurosurgery - Abstract
Increasing evidence links disorders of consciousness (DOC) with disruptions in functional connectivity between distant brain areas. However, to which extent the balance of brain network segregation and integration is modified in DOC patients remains unclear. Using high-density electroencephalography (EEG), the objective of our study was to characterize the local and global topological changes of DOC patients' functional brain networks.Resting state high-density-EEG data were collected and analyzed from 82 participants: 61 DOC patients recovering from coma with various levels of consciousness (EMCS (n = 6), MCS+ (n = 29), MCS- (n = 17) and UWS (n = 9)), and 21 healthy subjects (i.e., controls). Functional brain networks in five different EEG frequency bands and the broadband signal were estimated using an EEG connectivity approach at the source level. Graph theory-based analyses were used to evaluate their relationship with decreasing levels of consciousness as well as group differences between healthy volunteers and DOC patient groups.Results showed that networks in DOC patients are characterized by impaired global information processing (network integration) and increased local information processing (network segregation) as compared to controls. The large-scale functional brain networks had integration decreasing with lower level of consciousness. Keywords: Disorders of consciousness, High-density electroencephalography, Functional brain networks, Unresponsive wakefulness syndrome, Minimally conscious state
- Published
- 2019