Article (Scientific journals)
Automated EEG entropy measurements in coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state
Gosseries, Olivia; Schnakers, Caroline; LEDOUX, Didier et al.
2011In Functional Neurology, 36, p. 25-30
Peer Reviewed verified by ORBi
 

Files


Full Text
gosseries_FunctNeurol_2011.pdf
Publisher postprint (145.32 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
EEG entropy; vegetative state; minimally conscious state
Abstract :
[en] Monitoring the level of consciousness in brain injured patients with disorders of consciousness is crucial as it provides diagnostic and prognostic information. Behavioral assessment remains the gold standard for assessing consciousness but previous studies have shown a high rate of misdiagnosis. This study aimed to investigate the usefulness of electroencephalography (EEG) entropy measurements in differentiating unconscious (coma or vegetative) from minimally conscious patients. Left fronto-temporal EEG recordings (10-minute resting state epochs) were prospectively obtained in 56 patients and 16 age-matched healthy volunteers. Patients were assessed in the acute (≤1 month post-injury;n=29) or chronic (>1 month post-injury; n=27) stage. The etiology was traumatic in 23 patients. Automated online EEG entropy calculations (providing an arbitrary value ranging from 0 to 91) were compared with behavioral assessments (Coma Recovery Scale-Revised) and outcome. EEG entropy correlated with Coma Recovery Scale total scores (r=0.49). Mean EEG entropy values were higher in minimally conscious (73±19; mean and standard deviation) than in vegetative/unresponsive wakefulness syndrome patients (45±28). Receiver operating characteristic analysis revealed an entropy cut-off value of 52 differentiating acute unconscious from minimally conscious patients (sensitivity 89% and specificity 90%). In chronic patients, entropy measurements offered no reliable diagnostic information. EEG entropy measurements did not allow prediction of outcome. User-independent time-frequency balanced spectral EEG entropy measurements seem to constitute an interesting diagnostic – albeit not prognostic – tool for assessing neural network complexity in disorders of consciousness in the acute setting. Future studies are needed before using this tool in routine clinical practice, and these should seek to improve automated EEG quantification paradigms in order to reduce the remaining false negative and false positive findings.
Disciplines :
Neurology
Author, co-author :
Gosseries, Olivia  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Schnakers, Caroline ;  Université de Liège - ULiège > Centre de recherches du cyclotron
LEDOUX, Didier  ;  Centre Hospitalier Universitaire de Liège - CHU > Soins intensifs
Vanhaudenhuyse, Audrey  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Bruno, Marie-Aurélie ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Demertzi, Athina  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Noirhomme, Quentin ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Lehembre, Remy ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Damas, Pierre ;  Université de Liège - ULiège > Département des sciences cliniques > Anesthésie et réanimation
Goldman, Serge
Peeters, Erika
Moonen, Gustave  ;  Université de Liège - ULiège > Département des sciences cliniques > Neurologie
Laureys, Steven  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
More authors (3 more) Less
Language :
English
Title :
Automated EEG entropy measurements in coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state
Publication date :
2011
Journal title :
Functional Neurology
ISSN :
0393-5264
eISSN :
1971-3274
Publisher :
C.I.C. Edizioni Internazionali srl, Italy
Volume :
36
Pages :
25-30
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 01 September 2011

Statistics


Number of views
459 (13 by ULiège)
Number of downloads
273 (14 by ULiège)

Scopus citations®
 
135
Scopus citations®
without self-citations
106

Bibliography


Similar publications



Contact ORBi