Evidence map›Paper›PMID 40125571›Full record

SynthesisThe European journal of neuroscience2025

Meta-Analysis Reveals That Explore-Exploit Decisions Are Dissociable by Activation in the Dorsal Lateral Prefrontal Cortex, Anterior Insula, and Dorsal Anterior Cingulate Cortex.

Daniel Sazhin, Abraham Dachs, David V Smith

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in The European journal of neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Spatiotemporal Decoding of Explore-Exploit Decisions in the Human Brain.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Daniel SazhinDepartment of Psychology & Neuroscience, Temple University, Philadelphia, Pennsylvania, USA.
Abraham DachsDepartment of Psychology & Neuroscience, Temple University, Philadelphia, Pennsylvania, USA.
David V SmithDepartment of Psychology & Neuroscience, Temple University, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-5754-9633

Funding

NIDA NIH HHS R03-DA046733
6 · The paper itself

Abstract

Explore-exploit research faces challenges in generalizability due to a limited theoretical basis for exploration and exploitation. Neuroimaging can help identify whether explore-exploit decisions involve an opponent processing system to address this issue. Thus, we conducted a coordinate-based meta-analysis (N = 23 studies) finding activation in the dorsal lateral prefrontal cortex, anterior insula, and dorsal anterior cingulate cortex during exploration versus exploitation, which provides some evidence for opponent processing. However, the conjunction of explore-exploit decisions was associated with activation in the anterior cingulate cortex and dorsal medial prefrontal cortex, suggesting that these brain regions do not engage in opponent processing. Furthermore, exploratory analyses revealed heterogeneity in brain responses between task types during exploration and exploitation respectively. Coupled with results suggesting that activation during exploration and exploitation decisions is generally more similar than it is different suggests that there remain significant challenges in characterizing explore-exploit decision-making. Nonetheless, dorsal lateral prefrontal cortex, anterior insula, and dorsal anterior cingulate cortex activation differentiate explore and exploit decisions, and identifying these responses can aid in targeted interventions aimed at manipulating these decisions.

Indexed as

Decision MakingGyrus CinguliInsular CortexPrefrontal CortexBrain MappingHumansMagnetic Resonance Imagingdynamic decision‐makingexploitationexplorationfMRI

Identifiers

PMID40125571

What OpenQuestion holds

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Registered trials

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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.