{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T21:07:14Z","timestamp":1774904834952,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001321","name":"S\u00e3o Paulo Research Foundation","doi-asserted-by":"publisher","award":["2023\/05344-1"],"award-info":[{"award-number":["2023\/05344-1"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014555","name":"National Council for Scientific and Technological Development (CNPq, Brazil) through the Scientific Productivity Scholarship","doi-asserted-by":"publisher","award":["305230\/2022-0"],"award-info":[{"award-number":["305230\/2022-0"]}],"id":[{"id":"10.13039\/501100014555","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3675491","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T19:40:12Z","timestamp":1773862812000},"page":"44245-44254","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning in Resting-State Electroencephalogram Signals for Classification of Cognitively Healthy Older Adults, Alzheimer\u2019s Disease, and Lewy Body Dementia Patients"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7618-7369","authenticated-orcid":false,"given":"Britman Salcedo","family":"Pumaccola","sequence":"first","affiliation":[{"name":"Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5245-9839","authenticated-orcid":false,"given":"Claudio","family":"Babiloni","sequence":"additional","affiliation":[{"name":"Department of Physiology and Pharmacology &#x201C;Vittorio Erspamer,&#x201D;, Sapienza University of Rome, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4895-807X","authenticated-orcid":false,"given":"Francisco J.","family":"Fraga","sequence":"additional","affiliation":[{"name":"Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Alzheimer\u2019s Facts and Figures Report | Alzheimer\u2019s Association","year":"2025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.31887\/dcns.2000.2.2\/asschachter"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/s1474-4422(23)00447-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41392-024-01911-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2020.03.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/med\/9780190228484.003.0002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5174815"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering9040141"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s13195-018-0350-6"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1212\/wnl.0000000000004058"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1159\/000160962"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2005.05.017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1212\/wnl.0000000000001788"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jagp.2020.07.018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/frdem.2023.1271680"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-63301-7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2019.09.008"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2004.01.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s40120-019-00169-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2025.1590201"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-12526-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab0ab5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2022.1006763"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2024.1472747"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2024.1480871"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-025-01361-0"},{"key":"ref27","article-title":"Transformer-based EEG decoding: A survey","author":"Zhang","year":"2025","journal-title":"arXiv:2507.02320"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3329678"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2174\/1567205018666211027143944"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/brc.2014.6880978"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.neuroimage.2019.05.026","article-title":"ICLabel: An automated electroencephalographic independent component classifier, dataset, and website","volume":"198","author":"Pion-Tonachini","year":"2019","journal-title":"NeuroImage"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAU.1967.1161901"},{"key":"ref34","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"Hastie","year":"2009"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1142\/q0282"},{"key":"ref36","volume-title":"Keras: The Python Deep Learning Library","author":"Chollet","year":"2018"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"issue":"1","key":"ref38","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108705"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.298"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1502.03167"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86993-9_50"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3389\/fdgth.2021.665946"},{"key":"ref44","first-page":"1","article-title":"Evaluation: From precision, recall and F-factor to ROC, Informedness, markedness & correlation","volume":"2","author":"Powers","year":"2007","journal-title":"Mach. Learn. Technol."},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.2307\/4586294"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.071"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108815"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104349"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11441347.pdf?arnumber=11441347","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T20:08:50Z","timestamp":1774901330000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11441347\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3675491","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}