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Resting-state EEG study of comatose patients: A connectivity and frequency analysis to find differences between vegetative and minimally conscious states

Authors :
UCL - SSS/IONS - Institute of NeuroScience
Lehembre, Rémy
Bruno, Marie-Aurélie
Vanhaudenhuyse, Audrey
Chatelle, Camille
Cologan, Victor
Leclercq, Yves
Soddu, Andrea
Macq, Benoît
Laureys, Steven
Noirhomme, Quentin
UCL - SSS/IONS - Institute of NeuroScience
Lehembre, Rémy
Bruno, Marie-Aurélie
Vanhaudenhuyse, Audrey
Chatelle, Camille
Cologan, Victor
Leclercq, Yves
Soddu, Andrea
Macq, Benoît
Laureys, Steven
Noirhomme, Quentin
Source :
Functional Neurology, Vol. 27, no. 1, p. 41-47 (2012)
Publication Year :
2012

Abstract

The aim of this study was to look for differences in the power spectra and in EEG connectivity measures between patients in the vegetative state (VS/UWS) and patients in the minimally conscious state (MCS). The EEG of 31 patients was recorded and analyzed. Power spectra were obtained using modern multitaper methods. Three connectivity measures (coherence, the imaginary part of coherency and the phase lag index) were computed. Of the 31 patients, 21 were diagnosed as MCS and 10 as VS/UWS using the Coma Recovery Scale-Revised (CRS-R). EEG power spectra revealed differences between the two conditions. The VS/UWS patients showed increased delta power but decreased alpha power compared with the MCS patients. Connectivity measures were correlated with the CRS-R diagnosis; patients in the VS/UWS had significantly lower connectivity than MCS patients in the theta and alpha bands. Standard EEG recorded in clinical conditions could be used as a tool to help the clinician in the diagnosis of disorders of consciousness.

Details

Database :
OAIster
Journal :
Functional Neurology, Vol. 27, no. 1, p. 41-47 (2012)
Publication Type :
Electronic Resource
Accession number :
edsoai.on1130479605
Document Type :
Electronic Resource