Article (Scientific journals)
Depression alters "top-down" visual attention: a dynamic causal modeling comparison between depressed and healthy subjects.
Desseilles, Martin; Schwartz, Sophie; Dang Vu, Thien Thanh et al.
2011In NeuroImage, 54 (2), p. 1662-8
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Keywords :
Attention/physiology; Brain/physiopathology; Depressive Disorder, Major/physiopathology; Humans; Magnetic Resonance Imaging; Models, Neurological; Photic Stimulation; Visual Perception/physiology
Abstract :
[en] Using functional magnetic resonance imaging (fMRI), we recently demonstrated that nonmedicated patients with a first episode of unipolar major depression (MDD) compared to matched controls exhibited an abnormal neural filtering of irrelevant visual information (Desseilles et al., 2009). During scanning, subjects performed a visual attention task imposing two different levels of attentional load at fixation (low or high), while task-irrelevant colored stimuli were presented in the periphery. In the present study, we focused on the visuo-attentional system and used "Dynamic Causal Modeling" (DCM) on the same dataset to assess how attention influences a network of three dynamically-interconnected brain regions (visual areas V1 and V4, and intraparietal sulcus (P), differentially in MDD patients and healthy controls. Bayesian model selection (BMS) and model space partitioning (MSP) were used to determine the best model in each population. The best model for the controls revealed that the increase of parietal activity by high attention load was selectively associated with a negative modulation of P on V4, consistent with high attention reducing the processing of irrelevant colored peripheral stimuli. The best model accounting for the data from the MDD patients showed that both low and high attention levels exerted modulatory effects on P. The present results document abnormal effective connectivity across visuo-attentional networks in MDD, which likely contributes to deficient attentional filtering of information.
Disciplines :
Psychiatry
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Desseilles, Martin ;  Université de Liège - ULiège > Département des sciences cliniques > Psychiatrie et psychologie médicale
Schwartz, Sophie;  University of Geneva > Department of Psychiatry
Dang Vu, Thien Thanh ;  Université de Liège - ULiège > Département des sciences cliniques > Neurologie
Sterpenich, Virginie ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Ansseau, Marc ;  Université de Liège - ULiège > Département des sciences cliniques > Psychiatrie et psychologie médicale
Maquet, Pierre  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Phillips, Christophe  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Language :
English
Title :
Depression alters "top-down" visual attention: a dynamic causal modeling comparison between depressed and healthy subjects.
Publication date :
2011
Journal title :
NeuroImage
ISSN :
1053-8119
eISSN :
1095-9572
Publisher :
Elsevier Science, Orlando, United States - Florida
Volume :
54
Issue :
2
Pages :
1662-8
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Copyright (c) 2010 Elsevier Inc. All rights reserved.
Available on ORBi :
since 05 July 2011

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