What is Autism?

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by impairments in social communication and repetitive behaviors, encompassing a broad phenotypic spectrum.

Genetic mutations and environmental factors (e.g., maternal immune activation and neuroinflammation during pregnancy) play significant roles in the development of ASD. Overactivation of microglial cells in ASD leads to inadequate synaptic pruning (insufficient synaptic elimination), resulting in the formation of excessively connected neural networks.

EEG analyses reveal that individuals with ASD exhibit a distinctive "U-shaped" spectral curve, characterized by increased power in low-frequency waves (delta and theta) and reduced power in mid-frequency waves (alpha). Specifically, increased theta power in the frontal and temporal regions, widespread alpha band reduction, and excessive beta and gamma activity in the occipital and parietal regions are key EEG biomarkers of ASD. These biomarkers support the notion that individuals with ASD exhibit excessive local brain connectivity while showing deficits in long-range connectivity.

Furthermore, EEG signal complexity and wave amplitude variability have been found to differ in individuals with ASD compared to typically developing individuals. Machine learning applied to EEG data is an active area of academic research, and published work in this field is exploratory.

Auto Train Brain does not detect, screen for or diagnose autism spectrum disorder or any other condition. Diagnosis and therapeutic decisions are the responsibility of qualified healthcare and education professionals.