Evidence map›Paper›PMID 31930620›Full record

ArticleHuman brain mapping2020

Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins.

Dingna Duan, Shunren Xia, Islem Rekik, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026
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  3. Review
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  10. Role of intracortical neuropil growth in the gyrification of the primate cerebral cortex.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
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  14. Article
  15. Article
  16. Existence of Functional Connectome Fingerprint during Infancy and Its Stability over Months.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
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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

9 authors at 3 institutions in 6 countries.

Dingna DuanKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0002-2678-9789
Shunren XiaKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, Zhejiang, China.
Islem RekikBASIRA Lab, Faculty of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey.ORCID 0000-0001-5595-6673
Zhengwang WuDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0003-4436-9005
Li WangDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0003-2165-0080
Weili LinDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
John H GilmoreDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Dinggang ShenDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Gang LiDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · USMinistry of Education · NZUniversity of Dundee · GB

Funding

Early Brain Development in TwinsR01MH070890 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2004 to 2014
$5.3M
UNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5M
Early Brain Development in One and Two Year OldsR01HD053000 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2007 to 2018
$4.4M
Early Brain Development in TwinsU01MH070890 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2015 to 2019
$2.9M
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
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
NICHD NIH HHS R01 HD053000NIH HHS MH117943NIMH NIH HHS K01 MH109773NIMH NIH HHS R01 MH070890NIMH NIH HHS R01 MH116225NIMH NIH HHS R01 MH117943NIMH NIH HHS U01 MH070890NIMH NIH HHS U01 MH110274
6 · The paper itself

Abstract

Studying the early dynamic development of cortical folding with remarkable individual variability is critical for understanding normal early brain development and related neurodevelopmental disorders. This study focuses on the fingerprinting capability and the individual variability of cortical folding during early brain development. Specifically, we aim to explore (a) whether the developing neonatal cortical folding is unique enough to be considered as a "fingerprint" that can reliably identify an individual within a cohort of infants; (b) which cortical regions manifest more individual variability and thus contribute more for infant identification; (c) whether the infant twins can be distinguished by cortical folding. Hence, for the first time, we conduct infant individual identification and individual variability analysis involving twins based on the developing cortical folding features (mean curvature, average convexity, and sulcal depth) in 472 neonates with 1,141 longitudinal MRI scans. Experimental results show that the infant individual identification achieves 100% accuracy when using the neonatal cortical folding features to predict the identities of 1- and 2-year-olds. Besides, we observe high identification capability in the high-order association cortices (i.e., prefrontal, lateral temporal, and inferior parietal regions) and two unimodal cortices (i.e., precentral gyrus and lateral occipital cortex), which largely overlap with the regions encoding remarkable individual variability in cortical folding during the first 2 years. For twins study, we show that even for monozygotic twins with identical genes and similar developmental environments, their cortical folding features are unique enough for accurate individual identification; and in some high-order association cortices, the differences between monozygotic twin pairs are significantly lower than those between dizygotic twins. This study thus provides important insights into individual identification and individual variability based on cortical folding during infancy.

Indexed as

Twins, DizygoticTwins, MonozygoticCerebral CortexChild DevelopmentFemaleHumansImage Processing, Computer-AssistedInfantInfant, NewbornLongitudinal StudiesMagnetic Resonance ImagingMaleNeuroimagingcortical foldingindividual variabilityinfant identificationtwins study

Identifiers

PMID31930620
PMCPMC7198353
OpenAlexW2999276759

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.