Fiche publication
Date publication
janvier 2016
Journal
PloS one
Auteurs
Membres identifiés du Cancéropôle Est :
Pr AUBRY Régis
,
Dr PAZART Lionel
,
Pr HAFFEN Emmanuel
,
Pr MOULIN Thierry
,
Mme HENRIQUES Julie
Tous les auteurs :
Henriques J, Pazart L, Grigoryeva L, Muzard E, Beaussant Y, Haffen E, Moulin T, Aubry R, Ortega JP, Gabriel D
Lien Pubmed
Résumé
To measure the level of residual cognitive function in patients with disorders of consciousness, the use of electrophysiological and neuroimaging protocols of increasing complexity is recommended. This work presents an EEG-based method capable of assessing at an individual level the integrity of the auditory cortex at the bedside of patients and can be seen as the first cortical stage of this hierarchical approach. The method is based on two features: first, the possibility of automatically detecting the presence of a N100 wave and second, in showing evidence of frequency processing in the auditory cortex with a machine learning based classification of the EEG signals associated with different frequencies and auditory stimulation modalities. In the control group of twelve healthy volunteers, cortical frequency processing was clearly demonstrated. EEG recordings from two patients with disorders of consciousness showed evidence of partially preserved cortical processing in the first patient and none in the second patient. From these results, it appears that the classification method presented here reliably detects signal differences in the encoding of frequencies and is a useful tool in the evaluation of the integrity of the auditory cortex. Even though the classification method presented in this work was designed for patients with disorders of consciousness, it can also be applied to other pathological populations.
Mots clés
Adult, Auditory Cortex, physiopathology, Auditory Perception, Electroencephalography, Female, Humans, Male, Mental Disorders, physiopathology
Référence
PLoS ONE. 2016 ;11(1):e0146788
