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

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Bibliographic Details
Title: Identifying biomarkers for tDCS treatment response in Alzheimer's disease patients: a machine learning approach using resting-state EEG classification.
Authors: Andrade SM; Aging and Neuroscience Laboratory, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., da Silva-Sauer L; Aging and Neuroscience Laboratory, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., de Carvalho CD; Aging and Neuroscience Laboratory, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., de Araújo ELM; Aging and Neuroscience Laboratory, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., Lima EO; Aging and Neuroscience Laboratory, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., Fernandes FML; Center for Alternative and Renewable Energies (CEAR), Department of Electrical Engineering, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., Moreira KLAF; Laboratory of Ergonomics and Health, Department of Physiotherapy, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., Camilo ME; Laboratory of Ergonomics and Health, Department of Physiotherapy, Federal University of Paraíba, João Pessoa, Paraíba, Brazil., Andrade LMMDS; Department of Information Technology, Federal University of Ceará, Crateús, Brazil., Borges DT; Department of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil., da Silva Filho EM; Department of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil., Lindquist AR; Department of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil., Pegado R; Department of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil., Morya E; Edmond and Lily Safra International Institute of Neurosciences (IIN-ELS), Macaíba, Rio Grande do Norte, Brazil., Yamauti SY; Edmond and Lily Safra International Institute of Neurosciences (IIN-ELS), Macaíba, Rio Grande do Norte, Brazil., Alves NT; Department of Psychology, Federal University of Paraíba, João Pessoa, Brazil., Fernández-Calvo B; Department of Psychology, Federal University of Paraíba, João Pessoa, Brazil.; Department of Psychology, Faculty of Educational Sciences and Psychology, University of Cordoba, Córdoba, Spain.; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Córdoba, Spain., de Souza Neto JMR; Center for Alternative and Renewable Energies (CEAR), Department of Electrical Engineering, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.
Source: Frontiers in human neuroscience [Front Hum Neurosci] 2023 Oct 04; Vol. 17, pp. 1234168. Date of Electronic Publication: 2023 Oct 04 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477954 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5161 (Print) Linking ISSN: 16625161 NLM ISO Abbreviation: Front Hum Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1662-5161
DOI:10.3389/fnhum.2023.1234168