# Distinct neural networks of task engagement and choice response in moral, risky, and ambiguous decision-making: An ALE meta-analysis

**Authors:** Aiste Ambrase, Veronika I. Müller, Julia A. Camilleri, Hong Yu Wong, Birgit Derntl

PMC · DOI: 10.1162/imag_a_00277 · Imaging Neuroscience · 2024-08-30

## TL;DR

This study identifies distinct brain networks involved in moral, risky, and ambiguous decision-making using a meta-analysis of brain imaging data.

## Contribution

The paper is the first to disentangle two analysis approaches in decision-making, revealing new insights into shared and unique neural correlates.

## Key findings

- Task engagement and choice response involve different aspects of the salience network and striatum processing.
- Moral decision-making activates a multi-modal social cognition network.
- Risk and ambiguity engage the salience and frontoparietal attention networks.

## Abstract

Moral, risky, and ambiguous decision-making are likely to be characterized by common and distinct cognitive processes and thus show partly overlapping neural correlates. Previously, two different analysis approaches have been used to assess the neural correlates in all three domains: (a) comparing general engagement in an experimental task versus a control task (task engagement) or (b) comparing actual opposite choices made during the experimental task (choice response). Several coordinate-based activation likelihood estimation meta-analyses were performed to delineate consistent activations across experiments of the two analysis categories and the different decision-making domains. Our results show thattask engagementandchoice responsecapture different aspects of salience network involvement and reward-related striatum processing during decision-making. When assessing domains separately, we discovered that moral cues are processed in a multi-modal social cognition network, while risk and ambiguity require engagement of the salience and the frontoparietal attention networks. This is the first meta-analysis to disentangle the two analysis approaches yielding new insight into common and distinct neural correlates of different kinds of decision-making.

## Full-text entities

- **Diseases:** Brain lesions (MESH:D001927), frontotemporal dementia (MESH:D057180), gambling (MESH:D005715), pain (MESH:D010146), aINS (MESH:D020759), mental disorders (MESH:D001523), dysfunction (MESH:D006331), addiction disorders (MESH:D000437), neurodegeneration (MESH:D019636), frontal lobe injury (MESH:D001930), antisocial personality disorder (MESH:D000987)
- **Chemicals:** forchoice (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

174 references — full list in the complete paper: https://tomesphere.com/paper/PMC12290865/full.md

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Source: https://tomesphere.com/paper/PMC12290865