Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder
2016 (English)In: Psychiatry Research: Neuroimaging, ISSN 0925-4927, E-ISSN 1872-7506, Vol. 249, 91-96 p.Article in journal (Refereed) PublishedText
Neural models of major depressive disorder (MDD) posit that over-response of components of the brains salience network (SN) to negative stimuli plays a crucial role in the pathophysiology of MDD. In the present proof-of-concept study, we tested this formulation directly by examining the affective consequences of training depressed persons to down-regulate response of SN nodes to negative material. Ten participants in the real neurofeedback group saw, and attempted to learn to down-regulate, activity from an empirically identified node of the SN. Ten other participants engaged in an equivalent procedure with the exception that they saw SN-node neurofeedback indices from participants in the real neurofeedback group. Before and after scanning, all participants completed tasks assessing emotional responses to negative scenes and to negative and positive self-descriptive adjectives. Compared to participants in the sham-neurofeedback group, from pre- to post-training, participants in the realneurofeedback group showed a greater decrease in SN-node response to negative stimuli, a greater decrease in self-reported emotional response to negative scenes, and a greater decrease in self-reported emotional response to negative self-descriptive adjectives. Our findings provide support for a neural formulation in which the SN plays a primary role in contributing to negative cognitive biases in MDD. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 249, 91-96 p.
Major depressive disorder; Neurofeedback; Functional magnetic resonance imaging; Salience network; Information processing biases
IdentifiersURN: urn:nbn:se:liu:diva-127261DOI: 10.1016/j.pscychresns.2016.01.016ISI: 000372526600012PubMedID: 26862057OAI: oai:DiVA.org:liu-127261DiVA: diva2:921633
Funding Agencies|National Institutes of Health [P41 EB15891, F32 MH079651, R01 MH59259]2016-04-202016-04-192016-05-02Bibliographically approved