Evidence map›Paper›PMID 40659690›Full record

ArticleScientific data2025

The Chongqing Adolescent Twin Study: An Integrative Multimodal Brain Imaging and Non-imaging Dataset.

Yanting Zhu, Yixiao Fu, Jiajia Han, Ruoming Wang, Xingshun Ma, Xiaomei Hu, Tao Li, Zhiwei Ma

Abstract readDatasetTwin Study
In one paragraph

Article in Scientific data, 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

8 authors.

Yanting Zhu *School of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China.
Yixiao Fu *Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jiajia HanPrecision Research Center for Refractory Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, China.
Ruoming WangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China.
Xingshun MaDepartment of Neurology, The First Hospital of Yulin, Yulin, Shaanxi, 719000, China.
Xiaomei HuDepartment of Abdominal Oncology, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563003, China.
Tao LiAffiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China.
Zhiwei MaSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China. zhiwei.ma@shanghaitech.edu.cn.ORCID 0000-0003-2928-402X

Funding

Mapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1M
National Natural Science Foundation of China (National Science Foundation of China) 81101025Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 24ZR1451500NIMH NIH HHS U01 MH109589
6 · The paper itself

Abstract

Adolescence is a pivotal phase of rapid brain development shaped by genetic and environmental factors, offering a critical window for identifying early indicators of psychiatric disorders. The Chongqing Adolescent Twin Study (CATS) explores genetic and environmental influences in 136 typically developing twins aged 12 to 19. This dataset includes multimodal MRI scans (structural, resting-state functional, and diffusion MRI) alongside extensive questionnaires on cognitive abilities, emotional and social behaviors, familial and parenting dynamics, sleep wellness, stress, anxiety, and depression. We describe the dataset in detail and systematically assess its quality. When benchmarked against the Lifespan Human Connectome Project Development (HCP-D) dataset, CATS meets or exceeds HCP-D standards in signal quality, tissue contrast, image sharpness, and head motion control. Preprocessing and imaging phenotype extraction facilitate broad reuse, and high phenotype correlations with HCP-D confirm reliability. This high-quality, multimodal resource provides a unique opportunity to investigate how genetic and environmental factors, along with age-related changes, shape adolescent brain structure, connectivity, and behavior, offering critical insights for precision medicine and early interventions in psychiatry.

Indexed as

BrainAdolescentChildConnectomeFemaleHumansMagnetic Resonance ImagingMaleMultimodal ImagingTwinsYoung Adult

Identifiers

PMID40659690
PMCPMC12260051

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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.