Identifying biomarkers for tDCS treatment response in Alzheimer’s disease patients: a machine learning approach using resting-state EEG classification

BERNARDINO FERNÁNDEZ CALVO2026-01-292026-01-29202310.3389/fnhum.2023.12341682-s2.0-85174578018https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/37024Behavioral NeuroscienceBiological PsychiatryNeurologyNeuropsychology and Physiological PsychologyPsychiatry and Mental HealthIdentifying biomarkers for tDCS treatment response in Alzheimer’s disease patients: a machine learning approach using resting-state EEG classificationresearch article