» Articles » PMID: 29700303

Neuro-computational Account of How Mood Fluctuations Arise and Affect Decision Making

Overview
Journal Nat Commun
Specialty Biology
Date 2018 Apr 28
PMID 29700303
Citations 34
Authors
Affiliations
Soon will be listed here.
Abstract

The influence of mood on choices is a well-established but poorly understood phenomenon. Here, we suggest a three-fold neuro-computational account: (1) the integration of positive and negative events over time induce mood fluctuations, (2) which are underpinned by variations in the baseline activities of critical brain valuation regions, (3) which in turn modulate the relative weights assigned to key dimensions of choice options. We validate this model in healthy participants, using feedback in a quiz task to induce mood fluctuations, and a choice task (accepting vs. declining a motor challenge) to reveal their effects. Using fMRI, we demonstrate the pivotal role of the ventromedial prefrontal cortex and anterior insula, in which baseline activities respectively increase and decrease with theoretical mood level and respectively enhance the weighting of potential gains and losses during decision making. The same mechanisms might explain how decisions are biased in mood disorders at longer timescales.

Citing Articles

Neural signatures of risk-taking adaptions across health, bipolar disorder, and lithium treatment.

Scholl J, Panchal P, Nelissen N, Atkinson L, Kolling N, Saunders K Mol Psychiatry. 2025; .

PMID: 39880901 DOI: 10.1038/s41380-025-02900-w.


Navigating Uncertainty: The Role of Mood and Confidence in Decision-Making Flexibility and Performance.

Lavin C, Garcia R, Fuentes M Behav Sci (Basel). 2025; 14(12.

PMID: 39767285 PMC: 11673058. DOI: 10.3390/bs14121144.


Affective integration in experience, judgment, and decision-making.

Asutay E, Vastfjall D Commun Psychol. 2024; 2(1):126.

PMID: 39706883 PMC: 11662002. DOI: 10.1038/s44271-024-00178-2.


Decoding the influence of emotional and attentional states on self-control using facial analysis.

Aydogan G, Kretschmer J, Brewer G, McClure S Sci Rep. 2024; 14(1):25465.

PMID: 39461963 PMC: 11513103. DOI: 10.1038/s41598-024-73729-6.


The affective response to positive performance feedback is associated with motor learning.

Palidis D, Fellows L Exp Brain Res. 2024; 242(12):2737-2747.

PMID: 39387866 DOI: 10.1007/s00221-024-06931-7.


References
1.
Abitbol R, Lebreton M, Hollard G, Richmond B, Bouret S, Pessiglione M . Neural mechanisms underlying contextual dependency of subjective values: converging evidence from monkeys and humans. J Neurosci. 2015; 35(5):2308-20. PMC: 4315847. DOI: 10.1523/JNEUROSCI.1878-14.2015. View

2.
Pessiglione M, Seymour B, Flandin G, Dolan R, Frith C . Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans. Nature. 2006; 442(7106):1042-5. PMC: 2636869. DOI: 10.1038/nature05051. View

3.
WATSON D, Clark L, Tellegen A . Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988; 54(6):1063-70. DOI: 10.1037//0022-3514.54.6.1063. View

4.
Miyazaki K, Miyazaki K, Doya K . Activation of dorsal raphe serotonin neurons underlies waiting for delayed rewards. J Neurosci. 2011; 31(2):469-79. PMC: 6623450. DOI: 10.1523/JNEUROSCI.3714-10.2011. View

5.
Huang Y, Soon C, Mullette-Gillman O, Hsieh P . Pre-existing brain states predict risky choices. Neuroimage. 2014; 101:466-72. DOI: 10.1016/j.neuroimage.2014.07.036. View