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Differential White Matter Maturation from Birth to 8 Years of Age

Cerebral cortex (New York, N.Y. 1991), 2020-04, Vol.30 (4), p.2674-2690 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press. 2019 ;The Author(s) 2019. Published by Oxford University Press. ;ISSN: 1047-3211 ;EISSN: 1460-2199 ;DOI: 10.1093/cercor/bhz268 ;PMID: 31819951

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  • Title:
    Differential White Matter Maturation from Birth to 8 Years of Age
  • Author: Yu, Qinlin ; Peng, Yun ; Kang, Huiying ; Peng, Qinmu ; Ouyang, Minhui ; Slinger, Michelle ; Hu, Di ; Shou, Haochang ; Fang, Fang ; Huang, Hao
  • Subjects: Original
  • Is Part Of: Cerebral cortex (New York, N.Y. 1991), 2020-04, Vol.30 (4), p.2674-2690
  • Description: Abstract Comprehensive delineation of white matter (WM) microstructural maturation from birth to childhood is critical for understanding spatiotemporally differential circuit formation. Without a relatively large sample of datasets and coverage of critical developmental periods of both infancy and early childhood, differential maturational charts across WM tracts cannot be delineated. With diffusion tensor imaging (DTI) of 118 typically developing (TD) children aged 0–8 years and 31 children with autistic spectrum disorder (ASD) aged 2–7 years, the microstructure of every major WM tract and tract group was measured with DTI metrics to delineate differential WM maturation. The exponential model of microstructural maturation of all WM was identified. The WM developmental curves were separated into fast, intermediate, and slow phases in 0–8 years with distinctive time period of each phase across the tracts. Shorter periods of the fast and intermediate phases in certain tracts, such as the commissural tracts, indicated faster earlier development. With TD WM maturational curves as the reference, higher residual variance of WM microstructure was found in children with ASD. The presented comprehensive and differential charts of TD WM microstructural maturation of all major tracts and tract groups in 0–8 years provide reference standards for biomarker detection of neuropsychiatric disorders.
  • Publisher: United States: Oxford University Press
  • Language: English
  • Identifier: ISSN: 1047-3211
    EISSN: 1460-2199
    DOI: 10.1093/cercor/bhz268
    PMID: 31819951
  • Source: Oxford Journals Open Access Collection
    Alma/SFX Local Collection
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