Evidence map›Paper›PMID 40382492›Full record

ArticleCommunications biology2025

Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence.

Xinyu Liang, Junhao Luo, Qiuhui Bi, Yaya Jiang, Liyuan Yang, Deniz Vatansever, Elizabeth Jefferies, Gaolang Gong

Erratum issuedAbstract 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. An erratum has been issued. 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
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xinyu LiangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. xinyu_liang@fudan.edu.cn.ORCID http://orcid.org/0000-0001-6132-3354
Junhao LuoState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Qiuhui BiSchool of Artificial Intelligence, Beijing Normal University, Beijing, China.
Yaya JiangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Liyuan YangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Deniz VatanseverThe Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-2494-9945
Elizabeth JefferiesDepartment of Psychology, University of York, York, United Kingdom.ORCID http://orcid.org/0000-0002-3826-4330
Gaolang GongState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. gaolang.gong@bnu.edu.cn.ORCID http://orcid.org/0000-0001-5788-022X

Funding

China Postdoctoral Science Foundation 2021M700853National Natural Science Foundation of China (National Science Foundation of China) 82021004National Natural Science Foundation of China (National Science Foundation of China) 82172016
6 · The paper itself

Abstract

Hemispheric lateralization is linked to potential cognitive advantages. It is considered a driving force behind the generation of human intelligence. However, establishing quantitative links between the degree of lateralization and intelligence in humans remains elusive. In this study, we propose a framework that utilizes the functional aligned multidimensional representation space derived from hemispheric functional gradients to compute between-hemisphere distances within this space. Applying this framework to a large cohort (N = 777), we identified high functional divergence across the two hemispheres within the frontoparietal network. We found that both global divergence between the cerebral hemispheres and regional divergence within the multiple demand network were positively associated with fluid composite score and partially mediated the relationship between brain size and individual differences in fluid intelligence. Together, these findings deepen our understanding of hemispheric lateralization as a fundamental organizational principle of the human brain, providing empirical evidence for its role in supporting fluid intelligence.

Indexed as

BrainCerebrumFunctional LateralityIntelligenceAdultFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID40382492
PMCPMC12085609

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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.