Evidence map›Paper›PMID 40341201›Full record

ArticleCommunications biology2025

Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures.

Tomoya Nakai, Rieko Kubo, Shinji Nishimoto

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

3 authors.

Tomoya NakaiAraya Inc, Tokyo, Japan. nakai.tomoya@neuro.mimoza.jp.ORCID http://orcid.org/0000-0001-5225-0894
Rieko KuboCenter for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan.
Shinji NishimotoCenter for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan.ORCID http://orcid.org/0000-0001-8015-340X

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 101023033MEXT | Japan Science and Technology Agency (JST) JPMJCR24U2MEXT | Japan Science and Technology Agency (JST) JPMJFR231VMEXT | Japan Society for the Promotion of Science (JSPS) JP18H05522MEXT | Japan Society for the Promotion of Science (JSPS) JP24H00619MEXT | Japan Society for the Promotion of Science (JSPS) JP24H01559MEXT | Japan Society for the Promotion of Science (JSPS) JP24H02172MEXT | JST | Exploratory Research for Advanced Technology (ERATO) JPMJER1801
6 · The paper itself

Abstract

The variability in brain function forms the basis for our uniqueness. Prior studies indicate smaller individual differences and larger inter-subject correlation (ISC) in sensorimotor areas than in the association cortex. These studies, deriving information from brain activity, leave individual differences in cognitive structures based on task similarity relations unexplored. This study quantitatively evaluates these differences by integrating ISC, representational similarity analysis, and vertex-wise encoding models using functional magnetic resonance imaging across 25 cognitive tasks. ISC based on cognitive structures enables subject identification with 100% accuracy using at least 14 tasks. ISC is larger in the fronto-parietal association and higher-order visual cortices, suggesting subject-invariant cognitive structures in these regions. Principal component analysis reveals different cognitive structure configurations within these regions. This study provides evidence of individual variability and similarity in abstract cognitive structures.

Indexed as

Cerebral CortexCognitionAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMalePrincipal Component AnalysisYoung Adult

Identifiers

PMID40341201
PMCPMC12062439

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.