Evidence map›Paper›PMID 41807894›Full record

ReviewDevelopmental cognitive neuroscience2026

Developmental human brain connectome from fetal stage to early childhood.

Wentao Wu, Hao Huang, Tianjia Zhu, Shufang Tan, Minhui Ouyang

Abstract readReview
In one paragraph

Review in Developmental cognitive neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Wentao WuDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.
Hao HuangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Tianjia ZhuDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.
Shufang TanDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Minhui OuyangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: ouyangm@chop.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain undergoes the most rapid maturation across the lifespan from the fetal stage through early childhood. Diffusion magnetic resonance imaging (dMRI) and resting-state functional MRI (rs-fMRI) enable noninvasive mapping of the emerging brain structural and functional connections, which can subsequently be examined using various network-based analytic approaches to characterize how brain network topology evolves during development. Here, we review developmental connectome studies spanning mid-gestation to early childhood using dMRI and rs-fMRI. During this critical early period, unique and dynamic short- and long-range connectivity changes continually reshape the brain connectome. Structural and functional brain networks achieve highly efficient topological architectures in early life, with small-world organization emerging prenatally and adult-like hub distributions observed at birth. Importantly, early connectome development is characterized by a shift from segregation to integration, facilitated by initially faster growth of short-range connections followed by the later strengthening of long-range connections, and demonstrates a hierarchical axis from primary to higher-order regions. Structural connectome maturation is underpinned by the microstructural enhancement of certain white matter fibers and the pruning of others, while functional network emergence is supported by increased cerebral blood flow. Moreover, neurodevelopmental disorders such as autism and schizophrenia are associated with aberrant patterns of hyper- and hypo-connectivity, respectively, and exhibit atypical maturation of brain connectivity, underscoring the need for a developmental perspective. Collectively, this review outlines the spatiotemporal principles of early connectome development, discusses key challenges and methodological considerations in studying the baby brain connectome, setting the stage for understanding aberrant brain development during this vulnerable period.

Indexed as

BrainConnectomeChildChild, PreschoolHumansInfantInfant, NewbornMagnetic Resonance ImagingNerve NetNeural PathwaysNeurodevelopmentBaby brainConnectomeDevelopmentEarly childhoodFetusInfantShort-range connectivity

Identifiers

PMID41807894
PMCPMC12993216

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.