Inflexible neurobiological signatures precede atypical development in infants at high risk for autism

Kristina Denisova1,2,3, Guihu Zhao4

  • 1Sackler Institute for Developmental Psychobiology, Columbia University College of Physicians and Surgeons, New York, NY, 10032, USA. kd2401@cumc.columbia.edu.

Scientific Reports
|September 14, 2017
PubMed

Insights

Infant movement patterns in the first year predict developmental delays, particularly in those at high familial risk for Autism Spectrum Disorder (ASD). Inflexible movement signatures, not just variability, are linked to challenges in processing sensory information and atypical brain development.

Area of Science:

  • Neurobiology
  • Developmental Psychology
  • Infant Movement Analysis

Background:

  • Variability in neurobiological signatures is common in early life.
  • The connection between early life variability and adverse developmental milestones in humans is not well understood.
  • Autism Spectrum Disorder (ASD) risk is associated with familial factors.

Purpose of the Study:

  • To investigate how signal and noise levels in movement signatures during infancy influence early development.
  • To examine differences in movement patterns between infants at High Risk (HR) and Low Risk (LR) for ASD.
  • To determine if movement patterns predict delays in early learning trajectories.

Main Methods:

  • Studied 71 healthy, typically developing infants (HR or LR for ASD) during their first year.
  • Analyzed spontaneous head movements and movement variability during different conditions (e.g., sleep, language listening).
  • Validated findings using data from 1,445 infants in representative infant-sibling studies.

Main Results:

  • Delays in developmental trajectories for HR infants were predicted by poorer stochastic movement patterns at 1-2 months.
  • HR infants showed less distinct movement patterns between conditions (language vs. sleep) compared to LR infants.
  • This lack of movement diversity in HR infants suggests context-inflexible processing of environmental information.

Conclusions:

  • Atypical or inflexible sensorimotor systems and state transitions in early infancy may hinder the ability to extract crucial sensory information.
  • This difficulty in processing sensory input precedes and contributes to atypical brain development trajectories observed later in toddlerhood.
  • It is the inflexibility, rather than the level of variability itself, that appears detrimental to early development in infants at risk for ASD.

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