Predicting Treatment Results of Brain Stimulation and Cognitive Training in Adolescents with Autism Spectrum Disorder Using Machine Learning

What this Trial Is About

Researchers are investigating the use of transcranial direct current stimulation tDCS combined with cognitive training to address symptoms in adolescents with autism spectrum disorder ASD. ASD is characterized by challenges in communication, social skills, repetitive behaviors, and emotional distress triggered by environmental changes. This study aims to determine if baseline resting-state EEG and clinical data can predict which individuals respond to tDCS treatment, helping to improve intervention strategies. Participants will receive active tDCS over 10 sessions during two weeks, with one session per day on consecutive working days. Each session includes 20 minutes of tDCS combined with an online cognitive training program consisting of five exercises targeting information processing speed and executive function. After treatment, participants will be classified as responders or non-responders based on changes in social responsiveness scores. During the study, assessments will measure changes in social communication and repetitive behaviors using the Social Responsiveness Scale, cognitive function through various CANTAB tests, and neurophysiological measures at the start and immediately after the intervention. Researchers will monitor behavioral changes and executive function outcomes to evaluate the impact of the combined treatment over the study period ending in 2026.

A Machine Learning Approach for Predicting tDCS Treatment Outcomes of Adolescents With Autism Spectrum Disorders