{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T09:56:47Z","timestamp":1790675807419,"version":"4.1.0"},"reference-count":58,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["26K15682"],"award-info":[{"award-number":["26K15682"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["26K21664"],"award-info":[{"award-number":["26K21664"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Early and accurate tracking of Alzheimer's disease (AD) progression is critical for timely intervention. However, electrophysiological biomarkers capable of capturing long-term neurodegenerative changes remain largely underexplored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>We investigated whether individual alpha peak frequency (IAPF), an electroencephalography (EEG)-derived measure of dominant neural oscillatory activity, could serve as a longitudinal biomarker of AD progression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Twenty-seven patients with AD aged 63\u201391 years underwent annual EEG and cognitive assessments over 2\u20137 years. IAPF was extracted from eyes-closed resting-state EEG. Longitudinal associations among IAPF, Mini-Mental State Examination (MMSE) scores, age, and follow-up time were evaluated using repeated-measures correlation and linear mixed-effects models. Annual IAPF changes were compared with those of healthy controls (HC) aged 20\u201370 years, stratified by decade-based age subgroups. Longitudinal changes in relative spectral power were also analyzed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Patients with AD showed significant longitudinal declines in both IAPF and MMSE scores, with a positive longitudinal association between the two measures. Mixed-effects models indicated that these declines were better explained by follow-up time after accounting for baseline age than by age at assessment alone. Compared with all healthy-control age subgroups, patients with AD exhibited a significantly steeper annual IAPF decline. Relative theta power increased and alpha\/beta power decreased over follow-up, consistent with spectral slowing. However, annualized spectral-power changes showed limited disease specificity, with significant AD\u2013HC differences only for delta and alpha power relative to the oldest HC subgroup.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings support IAPF as a non-invasive, temporally sensitive, and clinically accessible biomarker for monitoring AD progression.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877261476331","type":"journal-article","created":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T13:53:07Z","timestamp":1786456387000},"page":"1293-1305","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Individual alpha peak frequency tracks Alzheimer's disease progression: A longitudinal pilot study"],"prefix":"10.1177","volume":"113","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1133-2698","authenticated-orcid":false,"given":"Ruimin","family":"Wang","sequence":"first","affiliation":[{"name":"Saga University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takao","family":"Yamasaki","sequence":"additional","affiliation":[{"name":"Department of Neurology, Minkodo Minohara Hospital, Fukuoka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takako","family":"Mitsudo","sequence":"additional","affiliation":[{"name":"Department of Neurology, Minkodo Minohara Hospital, Fukuoka, Japan"},{"name":"National Hospital Organization, Hizen Psychiatric Center, Saga, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5975-9788","authenticated-orcid":false,"given":"Yoshitaka","family":"Matsuda","sequence":"additional","affiliation":[{"name":"Saga University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3428-1213","authenticated-orcid":false,"given":"Satoru","family":"Goto","sequence":"additional","affiliation":[{"name":"Saga University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takenao","family":"Sugi","sequence":"additional","affiliation":[{"name":"Saga University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,11]]},"reference":[{"key":"e_1_3_3_2_2","article-title":"2025 Alzheimer\u2019s disease facts and figures","volume":"21","author":"Alzheimer\u2019s Association","year":"2025","unstructured":"Alzheimer\u2019s Association. 2025 Alzheimer\u2019s disease facts and figures. 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