Depression as a dynamical disease
Document type :
Article dans une revue scientifique
Permalink :
Title :
Depression as a dynamical disease
Author(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]
Journal title :
Biological Psychiatry
Abbreviated title :
Biological Psychiatry
Volume number :
39
Pages :
991-999
Publisher :
Elsevier BV
Publication date :
1996-06-15
ISSN :
0006-3223
English keyword(s) :
Depression
dynamical systems
multichannel electroencephalogram
entropy
multivariate surrogate data
chaos
dynamical systems
multichannel electroencephalogram
entropy
multivariate surrogate data
chaos
HAL domain(s) :
Sciences cognitives
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Administrative institution(s) :
Université de Lille
CNRS
CHU Lille
CNRS
CHU Lille
Collections :
Submission date :
2020-12-20T12:54:25Z
2021-01-11T09:46:36Z
2021-01-11T09:46:36Z
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