Development of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children.

Researchers measured brain waves in autistic and non-autistic children aged 8-18. They found that brain wave patterns normally change predictably as children get older, but this doesn't happen in autistic children. Instead, in autistic children, these brain wave patterns were linked to thinking abilities rather than age. This suggests autistic children's brains develop differently than expected.

This study examined peak alpha frequency (PAF), a brain wave marker of neural development, in 45 autistic children and 34 neurotypical controls aged 8-18 years using EEG recordings. Results showed that while PAF typically increases with age in neurotypical children, this age-related pattern was absent in autistic children. Instead, PAF in autistic children was positively associated with cognitive ability (nonverbal IQ) rather than age. The findings suggest autistic children follow a distinct trajectory of neural maturation that differs from typical development, with cognitive ability rather than chronological age driving brain wave development patterns.

These findings suggest that traditional age-based developmental expectations may not apply to neural maturation in autistic children. Clinicians should consider cognitive ability alongside chronological age when assessing neural development. PAF may serve as a biomarker for tracking distinct developmental trajectories in autism.

Single study with relatively small sample size (45 autistic, 34 control participants). Cross-sectional design limits understanding of individual developmental trajectories over time. The abstract does not specify potential confounding variables or methodological limitations.

Electroencephalographic peak alpha frequency (PAF) is a marker of neural maturation that increases with age throughout childhood. Distinct maturation of PAF is observed in children with autism spectrum disorder such that PAF does not increase with age and is instead positively associated with cognitive ability. The current study clarifies and extends previous findings by characterizing the effects of age and cognitive ability on PAF between diagnostic groups in a sample of children and adolescents with and without autism spectrum disorder. Resting EEG data and behavioral measures were collected from 45 autistic children and 34 neurotypical controls aged 8 to 18 years.

Utilizing generalized additive models to account for nonlinear relations, we examined differences in the joint effect of age and nonverbal IQ by diagnosis as well as bivariate relations between age, nonverbal IQ, and PAF across diagnostic groups. Age was positively associated with PAF among neurotypical children but not among autistic children. In contrast, nonverbal IQ but not age was positively associated with PAF among autistic children. Models accounting for nonlinear relations revealed different developmental trajectories as a function of age and cognitive ability based on diagnostic status.

Results align with prior evidence indicating that typical age-related increases in PAF are absent in autistic children and that PAF instead increases with cognitive ability in these children. Findings suggest the potential of PAF to index distinct trajectories of neural maturation in autistic children.