First night effect analysis in a cohort of young children with autism spectrum disorder

Ashura Buckley1, Katherine Wingert, Susan Swedo

  • 1National Institute of Mental Health, Pediatrics and Developmental Neuroscience Branch, Bethesda, MD 20982, USA. Shu.buckley@nih.gov

Insights

The first night effect (FNE) was present in young children with autism for some sleep measures, but not for total sleep time or REM sleep. This suggests a single polysomnogram night may suffice for evaluating these autism sleep parameters.

Area of Science:

  • Pediatric Sleep Medicine
  • Autism Spectrum Disorder (ASD) Research
  • Neurodevelopmental Disorders

Background:

  • The first night effect (FNE) is a phenomenon where sleep patterns differ on the first night of a laboratory study compared to subsequent nights.
  • Understanding FNE in children with autism spectrum disorder (ASD) is crucial for accurate sleep assessment.
  • Previous research on FNE in pediatric populations with neurodevelopmental conditions is limited.

Purpose of the Study:

  • To investigate the presence and characteristics of the first night effect (FNE) in young children diagnosed with autism spectrum disorder (ASD).
  • To determine if sleep patterns on the first night of a polysomnography study differ significantly from the second night in this population.
  • To assess the implications of FNE for the interpretation of sleep data in children with ASD.

Main Methods:

  • Polysomnography (PSG) data were collected over two consecutive nights in a sleep laboratory setting.
  • The study included 15 children aged 2-10 years with a confirmed diagnosis of ASD.
  • Sleep parameters analyzed included wake after sleep onset, sleep stages (including REM sleep), total sleep time (TST), and sleep efficiency.

Main Results:

  • A significant first night effect (FNE) was observed for wake after sleep onset minutes, stage 2 sleep, and overall sleep efficiency.
  • However, no significant FNE was found for REM sleep parameters (percentage or latency) or total sleep time (TST).
  • These findings indicate a differential impact of FNE across various sleep metrics in children with ASD.

Conclusions:

  • The absence of a significant FNE for total sleep time (TST) and REM sleep parameters in children with autism suggests these metrics may be reliably assessed with a single night of polysomnography.
  • This finding has practical implications for optimizing sleep studies in pediatric ASD populations, potentially reducing participant burden.
  • Further research is warranted to explore the specific factors contributing to the observed FNE patterns in children with ASD.
Abstract

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