SynthesisSocial cognitive and affective neuroscience2014
Informatic parcellation of the network involved in the computation of subjective value.
Synthesis in Social cognitive and affective neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 377 papers, 10 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
377 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- What can case-control comparisons of neural drug cue reactivity tell us about addiction? A neuroimaging meta-analysis.Translational psychiatry · 2026Pooled it
- Common and Distinct Neural Mechanisms Underlying Risk Seeking and Risk Aversion: Evidence From the Neuroimaging Meta-Analysis.Human brain mapping · 2025Pooled it
- Identifying distinctive brain regions related to consumer choice behaviors on branded foods using activation likelihood estimation and machine learning.Frontiers in computational neuroscience · 2024Pooled it
- Aesthetic evaluation underpinning brand love relationship development: an activation likelihood estimation meta-analysis and multivariate analysis.Frontiers in neuroscience · 2024Pooled it
- A Systematic Review on Common and Distinct Neural Correlates of Risk-taking in Substance-related and Non-substance Related Addictions.Neuropsychology review · 2023Pooled it
- Economic value in the Brain: A meta-analysis of willingness-to-pay using the Becker-DeGroot-Marschak auction.PloS one · 2023Pooled it
- Learning under social versus nonsocial uncertainty: A meta-analytic approach.Human brain mapping · 2022Pooled it
- Pooled it
- Functional parcellation of the default mode network: a large-scale meta-analysis.Scientific reports · 2020Pooled it
- Common and distinct brain activity associated with risky and ambiguous decision-making.Drug and alcohol dependence · 2020Pooled it
- Dose-dependent effects of estrogen on prediction error related neural activity in the nucleus accumbens of healthy young women.Psychopharmacology · 2020Trial
- Multiple Facets of Value-Based Decision Making in Major Depressive Disorder.Scientific reports · 2020Trial
- Changing the motivation for mental work with temporal interference stimulation.Translational psychiatry · 2026Article
- Subjective Values in Decision-Making Under Uncertainty: A Systematic Review.Behavioral sciences (Basel, Switzerland) · 2026Review
- Common and Distinct Neural Substrates for Approach- and Avoidance-Motivated Actions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Electrophysiological dissociation of human posterior cingulate cortex contributions to value- and memory-based decision-making.bioRxiv : the preprint server for biology · 2026Article
- Complementary and opponent value signals in the human brain support choosing the best and avoiding the worst.Nature communications · 2026Article
- Towards an Integrative Framework of Self-Regulation: A Scoping Review on the Interplay Between Emotion Regulation, Executive Functions and Decision-Making in Clinical Populations.Brain sciences · 2026Review
- Neural similarity between choice options predicts group-level context effects.Nature communications · 2026Article
- What a stimulus predicts, not what it depicts, determines striatal reward signals.bioRxiv : the preprint server for biology · 2026Article
317 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Understanding how the brain computes value is a basic question in neuroscience. Although individual studies have driven this progress, meta-analyses provide an opportunity to test hypotheses that require large collections of data. We carry out a meta-analysis of a large set of functional magnetic resonance imaging studies of value computation to address several key questions. First, what is the full set of brain areas that reliably correlate with stimulus values when they need to be computed? Second, is this set of areas organized into dissociable functional networks? Third, is a distinct network of regions involved in the computation of stimulus values at decision and outcome? Finally, are different brain areas involved in the computation of stimulus values for different reward modalities? Our results demonstrate the centrality of ventromedial prefrontal cortex (VMPFC), ventral striatum and posterior cingulate cortex (PCC) in the computation of value across tasks, reward modalities and stages of the decision-making process. We also find evidence of distinct subnetworks of co-activation within VMPFC, one involving central VMPFC and dorsal PCC and another involving more anterior VMPFC, left angular gyrus and ventral PCC. Finally, we identify a posterior-to-anterior gradient of value representations corresponding to concrete-to-abstract rewards.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.