Evidence map›Paper›PMID 40640148›Full record

ArticleNature communications2025

Functional development of the human cerebellum from birth to age five.

Wenjiao Lyu, Kim-Han Thung, Khoi Minh Huynh, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap

Registry-linked trialAbstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07307742 (Effects of Motor-Focused Exercise Training on Brain Function and Gross Motor Skills in Preschool Children), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT07307742 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effects of Motor-Focused Exercise Training on Brain Function and Gross Motor Skills in Preschool Children

TypeinterventionalSponsorHunan Normal UniversityRan2026 to 2026Enrolled110ConditionsChild Development, Motor Skills, Neurodevelopment, Brain FunctionArmsMotor-Focused Physical Education, Ordinary Physical Education
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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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

7 authors.

Wenjiao Lyu *Department of Radiology, University of North Carolina, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-2176-7169
Kim-Han Thung *Department of Radiology, University of North Carolina, Chapel Hill, NC, USA.
Khoi Minh Huynh *Department of Radiology, University of North Carolina, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-9538-2408
Li WangDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0003-2165-0080
Weili LinDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-2900-8204
Sahar AhmadDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-7243-9977
Pew-Thian YapDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA. ptyap@med.unc.edu.ORCID http://orcid.org/0000-0003-1489-2102

Funding

Longitudinal Mapping of Human Brain Development in the First Years of LifeR01EB008374 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2009 to 2024
$5.1M
Computational Diffusion MRI for Studying Early Human Brain DevelopmentR01MH125479 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2021 to 2025
$2.1M
Comprehensive MR Fingerprinting for Infants and Young Children at Risk for Developmental Delays.R01HD112923 · NICHD · DUKE UNIVERSITY · PI Dan Ma, DEANNE E WILSON-COSTELLO · 2024 to 2026
$1.7M
Multifaceted Characterization of Early Human Brain DevelopmentR01MH133836 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2024 to 2025
$1.2M
AI-Powered MRI Quality Control and Artifact Correction for Multi-Site StudiesR01EB035160 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Pew-Thian Yap · 2024 to 2026
$1.2M
NIBIB NIH HHS R01 EB008374NIBIB NIH HHS R01 EB035160NICHD NIH HHS R01 HD112923NIMH NIH HHS R01 MH125479NIMH NIH HHS R01 MH133836U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB008374U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB035160U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH125479U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH133836
6 · The paper itself

Abstract

Despite the cerebellum's crucial role in brain function, its early development, particularly in relation to the cerebrum, remains poorly understood. Here, we examine cerebellocortical connectivity using over 1000 high-quality resting-state functional MRI scans from children between birth and five years of age. By mapping cerebellar topography with fine temporal granularity, we unveil the hierarchical organization of cerebellocortical functional connectivity from infancy. We observe dynamic shifts in cerebellar functional topography, which become more focal with age while largely maintaining stable anchor regions similar to adults, highlighting the cerebellum's evolving yet organized role in functional integration during early development. Our findings demonstrate cerebellar connectivity to higher-order networks at birth, which generally strengthen with age, emphasizing the cerebellum's early role in cognitive processing beyond sensory and motor functions. Our study provides insights into early cerebellocortical interactions, reveals functional asymmetry and sex-specific patterns in cerebellar development, and lays the groundwork for future research on cerebellum-related disorders in children.

Indexed as

CerebellumBrain MappingChild, PreschoolFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleNerve NetNeural Pathways

Identifiers

PMID40640148
PMCPMC12246265

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Registered trials

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.