Toward an AI-Supported Clinical Pathway for EEG-Guided Transcranial Electric Stimulation in Autism Spectrum Disorder
Author(s)
Date Issued
2025
Type
conferenceObject
Start Page
1
End Page
6
Abstract
The formalization of a personalized clinical procedure for the treatment of Autism Spectrum Disorder (ASD) based on electroencephalography-guided transcranial electrical stimulation (tES) is proposed. The clinical method, already practiced in a center of therapy for autistic individuals, has been modeled through a flow chart and a corresponding database in which the inputs and outputs of each action are recorded. The database is designed to serve as the training foundation for an artificial intelligence (AI) system that supports the progressive personalization of the method itself. While tES has shown promise in improving cognitive and behavioral symptoms in ASD, current protocols do not take individual EEG conditions into account. The EEG-guided tES framework is structured as an iterative decision-making process, where stimulation parameters are dynamically adjusted based on neurophysiological and clinical responses. In addition to being modeled, the process has undergone operational qualification through a verification of its correspondence with the clinical intervention performed on two ASD patients: one 15-year-old male patient and one 25-year-old female patient. The study highlights the potential of an adaptive, EEG-driven approach to tES, emphasizing the importance of integrating neurophysiological biomarkers into personalized treatment strategies for ASD, with AI as a prospective tool for further enhancing clinical decision-making. © 2025 IEEE.
Conference(s)
IEEE International Symposium on Medical Measurements and Applications, MeMeA