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Common neural dysfunction of economic decision-making across psychiatric conditions.
- Source :
-
NeuroImage [Neuroimage] 2024 Jul 01; Vol. 294, pp. 120641. Date of Electronic Publication: 2024 May 10. - Publication Year :
- 2024
-
Abstract
- Adaptive decision-making, which is often impaired in various psychiatric conditions, is essential for well-being. Recent evidence has indicated that decision-making capacity in multiple tasks could be accounted for by latent dimensions, enlightening the question of whether there is a common disruption of brain networks in economic decision-making across psychiatric conditions. Here, we addressed the issue by combining activation/lesion network mapping analyses with a transdiagnostic brain imaging meta-analysis. Our findings indicate that there were transdiagnostic alterations in the thalamus and ventral striatum during the decision or outcome stage of decision-making. The identified regions represent key nodes in a large-scale network, which is composed of multiple heterogeneous brain regions and plays a causal role in motivational functioning. The findings suggest that disturbances in the network associated with emotion- and reward-related processing play a key role in dysfunctions of decision-making observed in various psychiatric conditions. This study provides the first meta-analytic evidence of common neural alterations linked to deficits in economic decision-making.<br />Competing Interests: Declaration of competing interest The authors are unaware of any conflicts of interest, financial or otherwise.<br /> (Copyright © 2024. Published by Elsevier Inc.)
- Subjects :
- Humans
Magnetic Resonance Imaging
Reward
Brain Mapping methods
Ventral Striatum diagnostic imaging
Ventral Striatum physiology
Ventral Striatum physiopathology
Brain physiology
Brain diagnostic imaging
Brain physiopathology
Thalamus diagnostic imaging
Thalamus physiology
Adult
Decision Making physiology
Mental Disorders physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 294
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 38735423
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2024.120641