Suellen Marinho Andrade, Leandro da Silva-Sauer, Carolina Dias de Carvalho, Elidianne Layanne Medeiros de Araújo, Eloise de Oliveira Lima, Fernanda Maria Lima Fernandes, Karen Lúcia de Araújo Freitas Moreira, Maria Eduarda Camilo, Lisieux Marie Marinho Dos Santos Andrade, Daniel Tezoni Borges, Edson Meneses da Silva Filho, Ana Raquel Lindquist, Rodrigo Pegado, Edgard Morya, Seidi Yonamine Yamauti, Nelson Torro Alves, Bernardino Fernández-Calvo, José Maurício Ramos de Souza Neto
BACKGROUND: Transcranial direct current stimulation (tDCS) is a promising treatment for Alzheimer's Disease (AD). However, identifying objective biomarkers that can predict brain stimulation efficacy, remains a challenge. The primary aim of this investigation is to delineate the cerebral regions implicated in AD, taking into account the existing lacuna in comprehension of these regions. In pursuit of this objective, we have employed a supervised machine learning algorithm to prognosticate the neurophysiological outcomes resultant from the confluence of tDCS therapy plus cognitive intervention within both the cohort of responders and non-responders to antecedent tDCS treatment, stratified on the basis of antecedent cognitive outcomes...
2023: Frontiers in Human Neuroscience