Evidence map›Paper›PMID 41639231›Full record

ArticleMolecular psychiatry2026

Developmental changes of the white matter functional connectome.

Guozheng Feng, Kexin Wang, Yichen Wang, Guolin Ma, Jian Cheng, Vince D Calhoun, Kai Wang, Gong-Jun Ji, Ni Shu

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Heterogeneous brain alterations in treatment-resistant depression converge on common control networks.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Pooled it
  2. Article
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

9 authors.

Guozheng FengState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-6937-8592
Kexin WangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Yichen WangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Guolin MaDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-4044-025X
Jian ChengSchool of Computer Science and Engineering, Beihang University, Beijing, China.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
Kai WangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.ORCID http://orcid.org/0000-0002-6197-914X
Gong-Jun JiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China. jigongjun@163.com.ORCID http://orcid.org/0000-0002-7073-5534
Ni ShuState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. nshu@bnu.edu.cn.ORCID http://orcid.org/0000-0003-2420-2910

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32271145National Natural Science Foundation of China (National Science Foundation of China) 81871425National Natural Science Foundation of China (National Science Foundation of China) 82371507
6 · The paper itself

Abstract

Emerging studies have consistently shown that blood-oxygenation-level-dependent signals within white matter (WM) appear to be related to neural activity. This recognition of WM functional signal has provided a great opportunity to investigate how the brain's WM functionally evolves in youth as well as its relationship to developmental disorders. Using multimodal imaging data from 407 participants aged 8 to 22 years, we constructed the WM functional connectome (WMFC) as well as the WM structural connectome (WMSC). Our findings reveal a global three-stage reorganization process in WMFC characterized by a decreasing-increasing-decreasing pattern. Regional changes are marked by hierarchical development between primary networks and higher-order networks. In conjunction with the WMSC, we measured WM SC‒FC coupling, and found that coupling monotonically decreases with development. Treating these spatial patterns as phenotypes of WM function, we demonstrated significant regulation by neurotransmitter receptors and transcriptomic expression. Notably, WMFC significantly explained the heterogeneous regional vulnerability in neurodevelopmental disorders and outperformed the WMSC in predicting cognitive function. This study underscores the importance of investigating WM function in understanding the neural mechanisms of brain maturation and disorders.

Indexed as

ConnectomeWhite MatterAdolescentBrainBrain MappingChildFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeural PathwaysNeurodevelopmentYoung Adult

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.