Tracking mood fluctuations with functional network patterns. Issue 1 (27th November 2018)

• Record Type: Journal Article
• Authors: Mirchi, Nykan; Betzel, Richard F; Bernhardt, Boris C; Dagher, Alain; Mišić, Bratislav
• Is Part Of: Social cognitive and affective neuroscience. Volume 14:Issue 1(2019)
• Page Start: 47
• Page End: 57
• Publication Date: 2018-11-27
• Subjects: connectome -- mood -- deep phenotyping -- fMRI -- connectivity; Neurosciences -- Periodicals; Cognitive neuroscience -- Periodicals; Neuropsychology -- Periodicals; 612.8205
• DOI: 10.1093/scan/nsy107
• Languages: English
• ISSNs: 1749-5016

Abstract

Abstract: Subjective mood is a psychophysiological property that depends on complex interactions among the central and peripheral nervous systems. How network interactions in the brain drive temporal fluctuations in mood is unknown. Here we investigate how functional network configuration relates to mood profiles in a single individual over the course of 1 year. Using data from the 'MyConnectome Project', we construct a comprehensive mapping between resting-state functional connectivity (FC) patterns and subjective mood scales using an associative multivariate technique (partial least squares). We report three principal findings. First, FC patterns reliably tracked daily fluctuations in mood. Second, positive mood was marked by an integrated architecture, with prominent interactions between canonical resting-state networks. Finally, one of the top-ranked nodes in mood-related network reconfiguration was the subgenual anterior cingulate cortex, an area commonly associated with mood regulation and dysregulation. Altogether, these results showcase the utility of highly sampled individual-focused data sets for affective neuroscience.