Evidence map›Paper›PMID 34789554›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Existence of Functional Connectome Fingerprint during Infancy and Its Stability over Months.

Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Zhen Zhou, Guoshi Li, Li Wang, Weili Lin, Gang Li, UNC/UMN Baby Connectome Project Consortium

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. The individuality of single-frame functional brain connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Article
  6. Structure-function coupling in the first month of life: Associations with age and attention.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. INDIVIDUALIZED TRAJECTORY PREDICTION OF EARLY DEVELOPING FUNCTIONAL CONNECTIVITY.Proceedings. IEEE International Symposium on Biomedical Imaging · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024
    Article
  17. Article
  18. Towards personalized precision functional mapping in infancy.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  19. Review
  20. 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

10 authors.

Dan HuDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Fan WangDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Han ZhangDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Zhengwang WuDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Zhen ZhouDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Guoshi LiDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Li WangDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Weili LinDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599.
Gang LiDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina 27599 gang_li@med.unc.edu.
UNC/UMN Baby Connectome Project Consortium

Funding

UNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5M
Infant Brain and Behavioral Signatures of Later Emerging Risk for PsychopathologyR01MH104324 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS · 2014 to 2018
$2.6M
Continued Development of Infant Brain Analysis ToolsR01MH117943 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG, WANG, LI · 2018 to 2022
$2.3M
Parcellating Infant Cerebral Cortex based on Developmental Patterns of Multimodal MRIR01MH116225 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2018 to 2022
$1.9M
Harmonizing and Archiving of Large-scale Infant Neuroimaging DataRF1MH123202 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2021 to 2021
$627k
Volume-based Analysis of 6-month Infant Brain MRI for Autism Biomarker Identification and Early DiagnosisK01MH109773 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WANG, LI · 2017 to 2020
$571k
Infant Functional Connectome Fingerprinting based on Deep LearningR21MH127544 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2021 to 2022
$272k
NIMH NIH HHS K01 MH109773NIMH NIH HHS R01 MH104324NIMH NIH HHS R01 MH116225NIMH NIH HHS R01 MH117943NIMH NIH HHS R21 MH127544NIMH NIH HHS RF1 MH123202NIMH NIH HHS U01 MH110274
6 · The paper itself

Abstract

The functional connectome fingerprint is a cluster of individualized brain functional connectivity patterns that are capable of distinguishing one individual from others. Although its existence has been demonstrated in adolescents and adults, whether such individualized patterns exist during infancy is barely investigated despite its importance in identifying the origin of the intrinsic connectome patterns that potentially mirror distinct behavioral phenotypes. To fill this knowledge gap, capitalizing on a longitudinal high-resolution structural and resting-state functional MRI dataset with 104 human infants (53 females) with 806 longitudinal scans (age, 16-876 d) and infant-specific functional parcellation maps, we observe that the brain functional connectome fingerprint may exist since infancy and keeps stable over months during early brain development. Specifically, we achieve an ∼78% individual identification rate by using ∼5% selected functional connections, compared with the best identification rate of 60% without connection selection. The frontoparietal networks recognized as the most contributive networks in adult functional connectome fingerprinting retain their superiority in infants despite being widely acknowledged as rapidly developing systems during childhood. The existence and stability of the functional connectome fingerprint are further validated on adjacent age groups. Moreover, we show that the infant frontoparietal networks can reach similar accuracy in predicting individual early learning composite scores as the whole-brain connectome, again resembling the observations in adults and highlighting the relevance of functional connectome fingerprint to cognitive performance. For the first time, these results suggest that each individual may retain a unique and stable marker of functional connectome during early brain development.

Indexed as

ConnectomeBrainBrain MappingChild, PreschoolFemaleFunctional NeuroimagingHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleNerve Netcognitionfunctional connectomefunctional connectome fingerprintinfantresting-state MRI

Identifiers

PMID34789554
PMCPMC8802925

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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.