Depression as a dynamical disease
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
Depression as a dynamical disease
Auteur(s) :
Pezard, Laurent [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Nandrino, Jean-Louis [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Renault, Bernard [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
El Massioui, Farid [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Allilaire, Jean-François [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Müller, Johannes [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Varela, Francisco J. [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Martinerie, Jacques [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
CHU Pitié-Salpêtrière [AP-HP]
Nandrino, Jean-Louis [Auteur]

CHU Pitié-Salpêtrière [AP-HP]
Renault, Bernard [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
El Massioui, Farid [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Allilaire, Jean-François [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Müller, Johannes [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Varela, Francisco J. [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Martinerie, Jacques [Auteur]
CHU Pitié-Salpêtrière [AP-HP]
Titre de la revue :
Biological Psychiatry
Nom court de la revue :
Biological Psychiatry
Numéro :
39
Pagination :
991-999
Éditeur :
Elsevier BV
Date de publication :
1996-06-15
ISSN :
0006-3223
Mot(s)-clé(s) en anglais :
Depression
dynamical systems
multichannel electroencephalogram
entropy
multivariate surrogate data
chaos
dynamical systems
multichannel electroencephalogram
entropy
multivariate surrogate data
chaos
Discipline(s) HAL :
Sciences cognitives
Résumé en anglais : [en]
Mathematical models are helpful in the understanding of diseases through the use of dynamical indicators. A previous study has shown that brain activity can be characterized by a decrease of dynamical complexity in depressive ...
Lire la suite >Mathematical models are helpful in the understanding of diseases through the use of dynamical indicators. A previous study has shown that brain activity can be characterized by a decrease of dynamical complexity in depressive subjects. The present paper confirms and extends these conclusions through the use of recent methodological advances: first episode and recurrent patients strongly differ in their dynamical response to therapeutic interventions. These results emphasize the need for clinical follow-ups to avoid recurrence and the necessity of specific therapeutic intervention in the case of recurrent patients.Lire moins >
Lire la suite >Mathematical models are helpful in the understanding of diseases through the use of dynamical indicators. A previous study has shown that brain activity can be characterized by a decrease of dynamical complexity in depressive subjects. The present paper confirms and extends these conclusions through the use of recent methodological advances: first episode and recurrent patients strongly differ in their dynamical response to therapeutic interventions. These results emphasize the need for clinical follow-ups to avoid recurrence and the necessity of specific therapeutic intervention in the case of recurrent patients.Lire moins >
Langue :
Anglais
Audience :
Internationale
Établissement(s) :
Université de Lille
CNRS
CHU Lille
CNRS
CHU Lille
Collections :
Date de dépôt :
2020-12-20T12:54:25Z
2021-01-11T09:46:36Z
2021-01-11T09:46:36Z
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