A Machine Learning Approach for Predicting tDCS Treatment Outcomes of Adolescents With Autism Spectrum Disorders
Sponsor: The Hong Kong Polytechnic University
Trial Details
| Condition | Transcranial Direct Current Stimulation, Autistic Disorders Spectrum, Electroencephalography, Machine Learning |
| Intervention | tDCS |
| Phase | NA |
| Status | Recruiting |
| Participants | 90 |
| Est. Completion | 31 Dec 2026 |
| Last Updated | 24 June 2026 |
Primary Outcome
Change in behavioral measures (social communication and restricted repetitive behavior) - Social Responsiveness Scale-2nd edition (SRS-2)
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Individuals who are confirmed by a clinical psychologist based on the Diagnostic and Statistical Manual of Mental Disorders-5th Ed (DSM-V) criteria of Autism spectrum disorder and structured interview with their parents or primary caregivers on their developmental history using the Autism Diagnostic Interview-Revised (ADI-R). * Individuals with intelligence quotient above 60. * Individuals who demonstrate the ability to comprehend testing and stimulation instructions. Exclusion Criteria: * Individuals with severe motor dysfunctions that would hinder their participation, and those with history of other neurological and psychiatric disorders and head trauma, or on psychiatric medication will be excluded from the study
Trial Sites
Countries
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