Evidence map›Paper›PMID 41699175›Full record

ReviewNature reviews. Neuroscience2026

Computational origins of cortical brain circuits for social cognition.

Ali Mahmoodi, Matthew F S Rushworth

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ali MahmoodiDepartment of Experimental Psychology, University of Oxford, Oxford, UK. ali.mahmoodi1367@gmail.com.ORCID http://orcid.org/0000-0002-8133-2546
Matthew F S RushworthDepartment of Experimental Psychology, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No domain rivals the importance and complexity of our social lives. Given the principle of exaptation in biology - the repurposing of existing structures for new functions - it is likely that brain regions originally evolved to perform computations in one context have been recruited for related computations in other contexts. From this point of view, brain regions for supporting social cognition should also be active in non-social contexts in which the computational demands mirror those of social situations. In this Perspective, we examine the computations required to navigate the social lives of human and non-human primates and identify brain activity patterns responsible for these functions, assessing the degree to which similar activity carries out similar computations in non-social contexts with analogous computational demands. This approach offers a unifying framework that bridges social and non-social domains and has implications for multiple areas within cognitive neuroscience, as well as emerging fields such as human-artificial agent interactions.

Indexed as

BrainCerebral CortexCognitionNerve NetSocial BehaviorSocial CognitionAnimalsHumansModels, NeurologicalNeural Pathways

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.