Evidence map›Paper›PMID 38087047›Full record

ArticleCommunications biology2023

Longitudinal development of the human white matter structural connectome and its association with brain transcriptomic and cellular architecture.

Guozheng Feng, Rui Chen, Rui Zhao, Yuanyuan Li, Leilei Ma, Yanpei Wang, Weiwei Men, Jiahong Gao, Shuping Tan, Jian Cheng and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Communications biology, 2023. 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Cellular and molecular associations with intrinsic brain organization.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. The importance of sleep for the developing brain.Current sleep medicine reports · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Guozheng Feng *State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0002-6937-8592
Rui Chen *State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0009-0008-9197-7859
Rui ZhaoCollege of Life Sciences, Beijing Normal University, Beijing, China.
Yuanyuan LiState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Leilei MaState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Yanpei WangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Weiwei MenCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Jiahong GaoCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.ORCID 0000-0002-9311-0297
Shuping TanBeijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China.
Jian ChengSchool of Computer Science and Engineering, Beihang University, Beijing, China.
Yong HeState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Shaozheng QinState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0002-1859-2150
Qi DongState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Sha TaoState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. taosha@bnu.edu.cn.ORCID 0000-0002-0928-0681
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 0000-0003-2420-2910

Funding

Mapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1M
NIMH NIH HHS U01 MH109589
6 · The paper itself

Abstract

From childhood to adolescence, the spatiotemporal development pattern of the human brain white matter connectome and its underlying transcriptomic and cellular mechanisms remain largely unknown. With a longitudinal diffusion MRI cohort of 604 participants, we map the developmental trajectory of the white matter connectome from global to regional levels and identify that most brain network properties followed a linear developmental trajectory. Importantly, connectome-transcriptomic analysis reveals that the spatial development pattern of white matter connectome is potentially regulated by the transcriptomic architecture, with positively correlated genes involve in ion transport- and development-related pathways expressed in excitatory and inhibitory neurons, and negatively correlated genes enriches in synapse- and development-related pathways expressed in astrocytes, inhibitory neurons and microglia. Additionally, the macroscale developmental pattern is also associated with myelin content and thicknesses of specific laminas. These findings offer insights into the underlying genetics and neural mechanisms of macroscale white matter connectome development from childhood to adolescence.

Indexed as

ConnectomeWhite MatterAdolescentBrainChildDiffusion Magnetic Resonance ImagingGene Expression ProfilingHumans

Identifiers

PMID38087047
PMCPMC10716168

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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.