4.6 Article

Magnetoencephalographic Correlates of Mood and Reward Dynamics in Human Adolescents

Journal

CEREBRAL CORTEX
Volume 32, Issue 15, Pages 3318-3330

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhab417

Keywords

MEG; mood; reward prediction error; reward processing

Categories

Funding

  1. Intramural Research Program of the National Institute of Mental Health, National Institutes of Health (NIH) [ZIA-MH002957-01]

Ask authors/readers for more resources

This study investigates whether the computationally modeled dynamics of self-reported mood during monetary gambling can be used to identify trial-by-trial variations in neuronal activity. The results show that beta-gamma power is positively related to reward expectation during mood shifts, with localized sources in the posterior cingulate cortex. Additionally, reward prediction error is found to predict trial-level variations in the response of the paracentral lobule.
Despite its omnipresence in everyday interactions and its importance for mental health, mood and its neuronal underpinnings are poorly understood. Computational models can help identify parameters affecting self-reported mood during mood induction tasks. Here, we test if computationally modeled dynamics of self-reported mood during monetary gambling can be used to identify trial-by-trial variations in neuronal activity. To this end, we shifted mood in healthy (N = 24) and depressed (N = 30) adolescents by delivering individually tailored reward prediction errors while recording magnetoencephalography (MEG) data. Following a pre-registered analysis, we hypothesize that the expectation component of mood would be predictive of beta-gamma oscillatory power (25-40 Hz). We also hypothesize that trial variations in the source localized responses to reward feedback would be predicted by mood and by its reward prediction error component. Through our multilevel statistical analysis, we found confirmatory evidence that beta-gamma power is positively related to reward expectation during mood shifts, with localized sources in the posterior cingulate cortex. We also confirmed reward prediction error to be predictive of trial-level variations in the response of the paracentral lobule. To our knowledge, this is the first study to harness computational models of mood to relate mood fluctuations to variations in neural oscillations with MEG.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available