Meta-analytically informed network analysis of resting state FMRI reveals hyperconnectivity in an introspective socio-affective network in depression

Alterations of social cognition and dysfunctional interpersonal expectations are thought to play an important role in the etiology of depression and have, thus, become a key target of psychotherapeutic interventions. The underlying neurobiology, however, remains elusive. Based upon the idea of a clo...

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Bibliographic Details
Published in:PloS one 2014-04, Vol.9 (4), p.e94973-e94973
Main Authors: Schilbach, Leonhard, Müller, Veronika I, Hoffstaedter, Felix, Clos, Mareike, Goya-Maldonado, Roberto, Gruber, Oliver, Eickhoff, Simon B
Format: Article
Language:English
Subjects:
Adult
Analysis
Biology and Life Sciences
Brain research
Care and treatment
Cognition
Cognition & reasoning
Computer and Information Sciences
Depression - physiopathology
Depression, Mental
Development and progression
Diagnosis
Economic statistics
Emotions
Ethics
Etiology
Female
Functional magnetic resonance imaging
Humans
Hypotheses
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical imaging
Medicine
Medicine and Health Sciences
Mental depression
Middle Aged
Nervous system
Network analysis
Neural networks
Neural Pathways - physiology
Neurobiology
Neurophysiology
Neurosciences
Psychiatry
Psychotherapy
Social aspects
Social factors
Social interactions
Studies
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Summary:Alterations of social cognition and dysfunctional interpersonal expectations are thought to play an important role in the etiology of depression and have, thus, become a key target of psychotherapeutic interventions. The underlying neurobiology, however, remains elusive. Based upon the idea of a close link between affective and introspective processes relevant for social interactions and alterations thereof in states of depression, we used a meta-analytically informed network analysis to investigate resting-state functional connectivity in an introspective socio-affective (ISA) network in individuals with and without depression. Results of our analysis demonstrate significant differences between the groups with depressed individuals showing hyperconnectivity of the ISA network. These findings demonstrate that neurofunctional alterations exist in individuals with depression in a neural network relevant for introspection and socio-affective processing, which may contribute to the interpersonal difficulties that are linked to depressive symptomatology.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0094973