Differences in white matter fiber tract development present from 6 to 24 months in infants with autism

Jason J Wolff1, Hongbin Gu, Guido Gerig

  • 1Carolina Institute for Developmental Disabilities and the Department of Psychiatry, University of North Carolina, Chapel Hill, USA. jason.wolff@cidd.unc.edu

Insights

Aberrant white matter development in high-risk infants may precede autism spectrum disorder (ASD) symptoms. Longitudinal imaging reveals distinct fiber tract organization differences from 6 to 24 months in infants who later developed ASD.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Medical Imaging

Background:

  • Early symptoms of autism spectrum disorders (ASDs) typically emerge in the late first or early second year of life.
  • A period of relatively typical development often precedes the onset of these early autistic symptoms.

Purpose of the Study:

  • To prospectively examine white matter fiber tract organization in high-risk infants from 6 to 24 months of age.
  • To identify early neuroimaging markers associated with the later development of autism spectrum disorders (ASDs).

Main Methods:

  • Utilized diffusion tensor imaging (DTI) to assess white matter microstructure in 92 high-risk infant siblings.
  • Collected imaging data at 6 months, with additional data at 12 and/or 24 months.
  • Characterized fractional anisotropy (FA) and diffusivity measures in key white matter tracts.

Main Results:

  • Significant differences in fractional anisotropy (FA) trajectories were observed in 12 of 15 analyzed white matter tracts between infants who developed ASDs and those who did not.
  • Infants who developed ASDs exhibited higher FA values at 6 months, followed by slower developmental changes, resulting in lower FA by 24 months.
  • These findings suggest altered white matter maturation trajectories in early development for infants later diagnosed with ASDs.

Conclusions:

  • Aberrant development of white matter pathways in infancy may precede the clinical manifestation of autistic symptoms.
  • Longitudinal neuroimaging data are crucial for understanding the dynamic, age-related brain changes associated with autism spectrum disorders.
  • Early identification of white matter alterations could inform future diagnostic and intervention strategies for ASDs.
Abstract

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