Literature DB >> 34789554

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

Dan Hu1, Fan Wang1, Han Zhang1, Zhengwang Wu1, Zhen Zhou1, Guoshi Li1, Li Wang1, Weili Lin1, Gang Li2.   

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.SIGNIFICANCE STATEMENT Functional connectome fingerprinting during infancy featuring rapid brain development remains almost uninvestigated even though it is essential for understanding the early individual-level intrinsic pattern of functional organization and its relationship with distinct behavioral phenotypes. With an infant-tailored functional connection selection and validation strategy, we strive to provide the delineation of the infant functional connectome fingerprint by examining its existence, stability, and relationship with early cognitive performance. We observe that the brain functional connectome fingerprint may exist since early infancy and remains stable over months during the first 2 years. The identified key contributive functional connections and networks for fingerprinting are also verified to be highly predictive for cognitive score prediction, which reveals the association between infant connectome fingerprint and cognitive performance.
Copyright © 2022 the authors.

Entities:  

Keywords:  cognition; functional connectome; functional connectome fingerprint; infant; resting-state MRI

Mesh:

Year:  2021        PMID: 34789554      PMCID: PMC8802925          DOI: 10.1523/JNEUROSCI.0480-21.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  62 in total

1.  Delayed stabilization and individualization in connectome development are related to psychiatric disorders.

Authors:  Tobias Kaufmann; Dag Alnæs; Nhat Trung Doan; Christine Lycke Brandt; Ole A Andreassen; Lars T Westlye
Journal:  Nat Neurosci       Date:  2017-02-20       Impact factor: 24.884

2.  Individual differences in functional connectivity during naturalistic viewing conditions.

Authors:  Tamara Vanderwal; Jeffrey Eilbott; Emily S Finn; R Cameron Craddock; Adam Turnbull; F Xavier Castellanos
Journal:  Neuroimage       Date:  2017-06-16       Impact factor: 6.556

3.  Twin-singleton developmental study of brain white matter anatomy.

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4.  Quantitative tract-based white matter development from birth to age 2years.

Authors:  Xiujuan Geng; Sylvain Gouttard; Anuja Sharma; Hongbin Gu; Martin Styner; Weili Lin; Guido Gerig; John H Gilmore
Journal:  Neuroimage       Date:  2012-03-28       Impact factor: 6.556

5.  Development of human brain cortical network architecture during infancy.

Authors:  Wei Gao; Sarael Alcauter; J Keith Smith; John H Gilmore; Weili Lin
Journal:  Brain Struct Funct       Date:  2014-01-28       Impact factor: 3.270

6.  Global connectivity of prefrontal cortex predicts cognitive control and intelligence.

Authors:  Michael W Cole; Tal Yarkoni; Grega Repovs; Alan Anticevic; Todd S Braver
Journal:  J Neurosci       Date:  2012-06-27       Impact factor: 6.167

7.  Fast quantitative diffusion-tensor imaging of cerebral white matter from the neonatal period to adolescence.

Authors:  J F L Schneider; K A Il'yasov; J Hennig; E Martin
Journal:  Neuroradiology       Date:  2004-03-04       Impact factor: 2.804

8.  Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of age.

Authors:  Gang Li; Jingxin Nie; Li Wang; Feng Shi; Amanda E Lyall; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Cereb Cortex       Date:  2013-01-10       Impact factor: 5.357

9.  Individual Uniqueness in the Neonatal Functional Connectome.

Authors:  Qiushi Wang; Yuehua Xu; Tengda Zhao; Zhilei Xu; Yong He; Xuhong Liao
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

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

Authors:  Dingna Duan; Shunren Xia; Islem Rekik; Zhengwang Wu; Li Wang; Weili Lin; John H Gilmore; Dinggang Shen; Gang Li
Journal:  Hum Brain Mapp       Date:  2020-01-12       Impact factor: 5.038

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