This title appears in the Scientific Report : 2014 

Meta-Analytically Informed Network Analysis of Resting State fMRI Reveals Hyperconnectivity in an Introspective Socio-Affective Network in Depression
Schilbach, L. (Corresponding Author)
Müller, Veronika / Hoffstaedter, Felix / Clos, Mareike / Goya-Maldonado, Roberto / Gruber, Oliver / Eickhoff, Simon
Strukturelle und funktionelle Organisation des Gehirns; INM-1
PLoS one, 9 (2014) 4, S. e94973
Lawrence, Kan. PLoS 2014
10.1371/journal.pone.0094973
24759619
Journal Article
Connectivity and Activity
Pathophysiological Mechanisms of Neurological and Psychiatric Diseases
OpenAccess
Please use the identifier: http://dx.doi.org/10.1371/journal.pone.0094973 in citations.
Please use the identifier: http://hdl.handle.net/2128/6743 in citations.
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.