Decrease of complexity in EEG as a symptom ...
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
Decrease of complexity in EEG as a symptom of depression
Auteur(s) :
Nandrino, Jean-Louis [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Pezard, Laurent [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Martinerie, Jacques [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
El Massioui, Farid [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Renault, Bernard [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Jouvent, Roland [Auteur]
Allilaire, Jean-François [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Widlöcher, Daniel [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
CHU Pitié-Salpêtrière [AP-HP]
Pezard, Laurent [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Martinerie, Jacques [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
El Massioui, Farid [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Renault, Bernard [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Jouvent, Roland [Auteur]
Allilaire, Jean-François [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Widlöcher, Daniel [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Titre de la revue :
Neuroreport
Nom court de la revue :
NeuroReport
Numéro :
5
Pagination :
528-530
Éditeur :
Ovid Technologies (Wolters Kluwer Health)
Date de publication :
1994-01-12
ISSN :
0959-4965
Mot(s)-clé(s) en anglais :
Dynamic complexity
Depression
Electroencephalogram
Nonlinear forecasting
Dynamic systems
Depression
Electroencephalogram
Nonlinear forecasting
Dynamic systems
Discipline(s) HAL :
Sciences cognitives
Résumé en anglais : [en]
Nonlinear dynamic analysis provides new methods for the processing of the electroencephalogram (EEG). We demonstrate here that the EEG dynamics of major depressive subjects is more predictable, that is less complex, than ...
Lire la suite >Nonlinear dynamic analysis provides new methods for the processing of the electroencephalogram (EEG). We demonstrate here that the EEG dynamics of major depressive subjects is more predictable, that is less complex, than that of control subjects. Moreover, the consequence of treatment upon the EEG dynamics seems to be dependent on the appearance of the illness. Although the specificity of this dynamic signature for different stages of depression is to be confirmed, the assumption of a strong link between a healthy system and a high level of complexity in dynamics is further supported.Lire moins >
Lire la suite >Nonlinear dynamic analysis provides new methods for the processing of the electroencephalogram (EEG). We demonstrate here that the EEG dynamics of major depressive subjects is more predictable, that is less complex, than that of control subjects. Moreover, the consequence of treatment upon the EEG dynamics seems to be dependent on the appearance of the illness. Although the specificity of this dynamic signature for different stages of depression is to be confirmed, the assumption of a strong link between a healthy system and a high level of complexity in dynamics is further supported.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Établissement(s) :
Université de Lille
CNRS
CHU Lille
CNRS
CHU Lille
Collections :
Date de dépôt :
2020-12-20T12:58:10Z
2021-01-11T09:34:22Z
2021-01-11T09:47:47Z
2021-01-11T09:34:22Z
2021-01-11T09:47:47Z
Fichiers
- Nandrino et al 1994 decrease of complexity in EEG.pdf
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