Attentive brain states in infants with and without later autism

Anna Gui1, Giorgia Bussu2, Charlotte Tye3

  • 1Centre for Brain and Cognitive Development, Birkbeck College, University of London, Malet Street, London, WC1E 7HX, UK. agui01@mail.bbk.ac.uk.

Insights

Infants with a family history of autism spectrum disorder (ASD) show differences in attention engagement, measured by brain activity. These early attention differences predict later social development and ASD diagnosis.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Autism Spectrum Disorder Research

Background:

  • Early attention difficulties in social settings may impact learning and social development.
  • Autism Spectrum Disorder (ASD) is characterized by social interaction challenges.
  • Understanding early neurodevelopmental markers for ASD is crucial.

Purpose of the Study:

  • To investigate early attention engagement differences in infants with and without a family history of ASD.
  • To examine if brain activity patterns in infancy predict later ASD diagnosis and social functioning.
  • To explore the relationship between brain states and social development trajectories.

Main Methods:

  • Multichannel electroencephalography (EEG) was used in 8-month-old infants during a face/non-face paradigm.
  • Event-related potential (ERP) component, the Nc, and brain microstates were analyzed.
  • Machine learning identified microstate features predicting ASD and social adaptive skills at age 3.

Main Results:

  • Infants with a family history of ASD who later received an ASD diagnosis (FH-ASD) showed shorter Nc latency.
  • Brain state timing predicted categorical ASD outcome, while brain state strength predicted dimensional social functioning.
  • Reduced Nc amplitude difference and attentive microstate strength to faces predicted social skill variations.

Conclusions:

  • Atypical attention engagement in infancy precedes social difficulties and ASD emergence.
  • Spatio-temporal brain state characteristics in infancy offer a novel approach to understanding ASD neurodevelopment.
  • Early attention markers identified via EEG may aid in predicting ASD risk and social development.

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