Evidence map›Paper›PMID 41279378›Full record

ArticlebioRxiv : the preprint server for biology2025

Cerebral cortical structures linked to intelligence.

Chun-Ju Chou, Mark Fiecas, Elisabetta C Del Re, Eero Vuoksimaa, Chi-Hua Chen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Chun-Ju ChouDepartment of Radiology, University of California, San Diego, CA, USA.
Mark FiecasDivision of Biostatistics, University of Minnesota School of Public Health, MN, USA.
Elisabetta C Del ReDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Eero VuoksimaaInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-6534-3667
Chi-Hua ChenDepartment of Radiology, University of California, San Diego, CA, USA.ORCID 0000-0001-5318-047X

Funding

Genetic heterogeneity and pleiotropy of neuroimaging and psychiatric phenotypesR01MH132783 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Chi-Hua Chen · 2024 to 2026
$1.9M
NIMH NIH HHS R01 MH132783
6 · The paper itself

Abstract

Understanding the neural basis of intelligence in humans remains an ongoing scientific pursuit. Early studies with small samples identified potential regions but lacked consistency across findings. Recent large-scale magnetic resonance imaging (MRI) datasets, using intelligence measures focused on verbal-numerical reasoning, now offer more robust opportunities for discovery. In this study (N=11,289), we showed the dorsolateral prefrontal cortex as exhibiting the strongest effect size and a significant causal relationship with intelligence, where larger surface area predicts higher intelligence as revealed by Mendelian randomization analyses. Additional regions, including the orbitofrontal and temporal cortices, also showed causal links to intelligence. These regions are critical for working memory, executive function, and language. Reverse causality analyses further indicated that higher intelligence contributes to increased total surface area and greater cortical thickness in the perisylvian language region. Our findings replicate prior evidence of a bidirectional relationship between total surface area and intelligence and further offer novel insights into regional cortical associations and causal effect. Collectively, these findings support a polyregional cortical configuration of intelligence, highlighting the dorsolateral prefrontal cortex-a key hub for cognitive ability.

Indexed as

Cortical morphologyGenetically-informed parcellationGenome-wide association studyIntelligenceMendelian randomization

Identifiers

PMID41279378
PMCPMC12632532

What OpenQuestion holds

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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 OpenQuestion graph.