Evidence map›Paper›PMID 42779693›Full record

ArticlebioRxiv : the preprint server for biology2026

Division-Specific Organization of a Shared Functional Scaffold in the Early-Life Human Brain.

Dan Hu, Jiale Cheng, Kangfu Han, Zhengwang Wu, Weiyan Yin, Yue Sun, Jiameng Liu, Sheng-Che Hung, Li Wang, Jessica R Cohen and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for 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

12 authors.

Dan HuBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-1253-888X
Jiale ChengBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kangfu HanBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zhengwang WuBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Weiyan YinBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yue SunBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jiameng LiuBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sheng-Che HungBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Li WangBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jessica R CohenDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Weili LinBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gang LiBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Mapping Trajectories of Alzheimer's Progression via Personalized Brain Anchor-nodesR01AG075582 · NIA · UNIVERSITY OF TEXAS ARLINGTON · PI Gang Li, Dajiang Zhu · 2022 to 2026
$2.7M
Developing an Individualized Deep Connectome Framework for ADRD AnalysisRF1NS128534 · NINDS · UNIVERSITY OF TEXAS ARLINGTON · PI LI, GANG, LIU, TIANMING · 2022 to 2022
$1.7M
Continued Development of Infant Neuroimaging Analysis ToolsR01EB037388 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Gang Li, Li Wang · 2025 to 2026
$1.2M
SCH: Using Data-Driven Computational Biomechanics to Disentangle Brain Structural Commonality, Variability, and Abnormality in ASDR01NS135574 · NINDS · UNIVERSITY OF GEORGIA · PI Xianqiao Wang · 2023 to 2026
$1.1M
Developing an Individualized Deep Connectome Framework for ADRD AnalysisR01NS128534 · NINDS · UNIVERSITY OF TEXAS ARLINGTON · PI Gang Li, Tianming Liu · 2025 to 2026
$878k
Multi-view Learning Based Infant-Specific Cerebellum Parcellation and Its Application to Infants with Early AdversitiesR21HD119560 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Dan Hu, Gang Li · 2026 to 2026
$428k
NIA NIH HHS R01 AG075582NIBIB NIH HHS R01 EB037388NICHD NIH HHS R21 HD119560NINDS NIH HHS R01 NS128534NINDS NIH HHS R01 NS135574NINDS NIH HHS RF1 NS128534
6 · The paper itself

Abstract

Early cognition and behavior emerge from coordinated maturation of functional systems spanning the brain, making cross-division integration essential for defining whole-brain architecture and understanding its role in neurodevelopment. Yet early human functional development is still largely investigated through cortical networks or through isolated, coarsely resolved noncortical structures, leaving unclear how this integrated architecture is organized across the cerebral cortex, subcortex and cerebellum. Moving beyond structure-isolated and adult-derived maps, we create a reproducible, fine-grained Early-Life Whole-Brain Functional Parcellation (UNC-ELF) spanning birth to six years. Using this framework, we identify a shared functional scaffold expressed through distinct division-specific modes: differentiated and dual-polarity cortical organization, spatially graded cerebellar organization with blended functional transition zones, and nucleus-constrained subcortical mosaics of multi-system affiliation. Across early childhood, the scaffold is selectively refined through heterogeneous, nonlinear connectivity trajectories, with major inflections concentrated in infancy. Age-, sex- and prospective cognition-related variation is differentially encoded across distinct connectomic components. Together, these findings reframe early functional brain development as coordinated refinement of a shared but nonuniform whole-brain scaffold and establish UNC-ELF as a unified reference for resolving typical and atypical functional organization across the developing brain.

Identifiers

PMID42779693
PMCPMC13596344

What OpenQuestion holds

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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.