Evidence map›Paper›PMID 41951806›Full record

ArticleCommunications biology2026

Linking changes in sulcal morphometry to cognitive development from childhood to adolescence.

Yijin Shan, Huiting Qiao, Yirong He, Lei Chu, Debin Zeng, Xiaoxi Dong, Tengda Zhao, Xuhong Liao, Xiaodan Chen, Yunman Xia and 17 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2026. 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

27 authors.

Yijin ShanBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China.
Huiting QiaoBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China.
Yirong HeInstitute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China.
Lei ChuBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China.
Debin ZengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-0138-1314
Xiaoxi DongState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Tengda ZhaoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xuhong LiaoSchool of Systems Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0009-0000-0170-2520
Xiaodan ChenState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yunman XiaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0003-2593-9252
Tianyuan LeiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Lianglong SunState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0009-0007-0164-0893
Weiwei MenCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Rui ChenState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Leilei MaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xiaoyu RenState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yanpei WangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Daoyang WangZhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou, China.
Mingming HuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Zhiying PanState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Shuping TanBeijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China.
Jia-Hong GaoCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-9311-0297
Shaozheng QinState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-1859-2150
Sha TaoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-0928-0681
Qi DongState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yong HeState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. yong.he@bnu.edu.cn.ORCID http://orcid.org/0000-0002-7039-2850
Shuyu LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. shuyuli@bnu.edu.cn.ORCID http://orcid.org/0000-0002-3459-6821

Funding

Beijing Normal University (BNU) Z15110000391512China Postdoctoral Science Foundation 2025M772874National Natural Science Foundation of China (National Science Foundation of China) 31521063National Natural Science Foundation of China (National Science Foundation of China) 82021004
6 · The paper itself

Abstract

Despite dynamic sulcal changes during youth paralleling skill development, the link between extended postnatal development and cognition remains underexplored. This study analyzes structural MRI data from 307 children (6-14 years), with longitudinal data (inter-scan interval ~1 year) available for a subset. Results reveal widespread cortical thinning, sulcal widening, and reductions in adjusted area and depth, following a chronological gradient where earliest-forming sulci undergo the most profound change. Longitudinal remodeling, rather than baseline morphometry, predicts cognitive gains. Specifically, working memory improvements are predicted by widening of the left calcarine and posterior intralingual sulci. In contrast, attention network maturation involves global changes, though executive control is specifically linked to left intraparietal sulcus widening. Gene enrichment analysis links these changes to synaptic processes. This study advances our understanding of the association between sulcal morphometry and cognitive function, elucidating potential mechanisms underlying brain development from childhood to adolescence.

Indexed as

Cerebral CortexChild DevelopmentCognitionAdolescentChildFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleNeurodevelopment

Identifiers

PMID41951806
PMCPMC13237371

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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.