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Given the irreversible nature of AD, early detection of cognitive impairment is critical for improving prognosis and facilitating timely interventions before individuals meet the clinical criteria for AD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The objective of this review is to provide a comprehensive summary of recent advances in task-based electroencephalography (EEG), such as using attention and inhibitory control tasks, which has recently emerged as a promising non-invasive biomarker for assessing neurophysiological alterations associated with AD and mild cognitive impairment (MCI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This systematic review evaluates the efficacy of task-based EEG biomarkers in distinguishing cognitively impaired individuals from those without impairment. A comprehensive literature search was conducted across PubMed, Semantic Scholar, and SpringerLink databases for studies published between 2017 and 2024.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Findings indicate consistent neurophysiological alterations in MCI and AD, particularly reductions in event-related potential amplitudes and prolonged latencies, with P3 abnormalities observed in about half of the studies assessing selective attention and inhibitory control. Similarly, a comparable number of studies using working memory tasks report disrupted functional connectivity patterns, increased low-frequency oscillations (delta and theta activity), and reduced fast oscillations (alpha and beta activity).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These EEG-based indices demonstrate potential as objective biomarkers for detecting neural alterations associated with cognitive decline in both AD and preclinical dementia stages. Further research is needed to standardize EEG protocols and validate their clinical utility for early diagnosis and disease progression monitoring.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251413700","type":"journal-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T13:06:47Z","timestamp":1770210407000},"page":"58-73","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Biomarkers for Alzheimer's disease and mild cognitive impairment: Recent advances in task-based EEG"],"prefix":"10.1177","volume":"110","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1631-0172","authenticated-orcid":false,"given":"Kornkanok","family":"Tripanpitak","sequence":"first","affiliation":[{"name":"Cognitive Behavioral Assistive Technology Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0795-0258","authenticated-orcid":false,"given":"Alexandra","family":"Wolf","sequence":"additional","affiliation":[{"name":"Cognitive Behavioral Assistive Technology Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"},{"name":"Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7206-9304","authenticated-orcid":false,"given":"Maryna","family":"Kapitonova","sequence":"additional","affiliation":[{"name":"Neuromedical AI Lab, Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany"},{"name":"BrainLinks-BrainTools, IMBIT (Institute for Machine-Brain Interfacing Technology), University of Freiburg, Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7808-0958","authenticated-orcid":false,"given":"Satoshi","family":"Umeda","sequence":"additional","affiliation":[{"name":"Department of Psychology, Keio University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tonio","family":"Ball","sequence":"additional","affiliation":[{"name":"Neuromedical AI Lab, Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany"},{"name":"BrainLinks-BrainTools, IMBIT (Institute for Machine-Brain Interfacing Technology), University of Freiburg, Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3644-276X","authenticated-orcid":false,"given":"Mihoko","family":"Otake-Matsuura","sequence":"additional","affiliation":[{"name":"Cognitive Behavioral Assistive Technology Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,2,4]]},"reference":[{"key":"e_1_3_3_2_2","volume-title":"Global action plan on the public health response to dementia 2017\u20132025","author":"World Health Organization","year":"2017","unstructured":"World Health Organization. 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