{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T04:02:00Z","timestamp":1788235320666,"version":"build-2803163510"},"reference-count":55,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T00:00:00Z","timestamp":1725667200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Fonds National de la Recherche Scientifique","award":["30446199"],"award-info":[{"award-number":["30446199"]}]},{"name":"Wallonia-Brussels Federation"},{"DOI":"10.13039\/501100005627","name":"University of Li\u00e8ge","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005627","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fondation Simone et Pierre Clerdent"},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Healthy age-related cognitive changes are highly heterogeneous across individuals. This variability is increasingly explained through the lens of spontaneous fluctuations of brain activity, now considered a powerful index of age-related changes. However, brain activity is a biological process modulated by circadian rhythms, and how these fluctuations evolve throughout the day is under investigation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed data from 101 healthy late middle-aged participants from the Cognitive Fitness in Aging study (68 women and 33 men; aged 50\u201369\u2005years). Participants completed 5 electroencephalographic (EEG) recordings of spontaneous resting-state activity on the same day. We used weighted phase-lag index (wPLI) analyses as an index of the functional synchrony between brain regions couplings, and we computed daily global PLI fluctuation rates of the 5 recordings to assess the association with cognitive performance and \u03b2-amyloid and tau\/neuroinflammation pathological markers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We found that theta and gamma daily fluctuations in the salience-control executive internetwork (SN-CEN) are associated with distinct mechanisms underlying cognitive heterogeneity in aging. Higher levels of SN-CEN theta daily fluctuations appear to be deleterious for memory performance and were associated with higher tau\/neuroinflammation rates. In contrast, higher levels of gamma daily fluctuations are positively associated with executive performance and were associated with lower rate of \u03b2-amyloid deposition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Thus, accounting for daily EEG fluctuations of brain activity contributes to a better understanding of subtle brain changes underlying individuals\u2019 cognitive performance in healthy aging. Results also provide arguments for considering the time of day when assessing cognition for old adults in a clinical context.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/geronb\/gbae152","type":"journal-article","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T21:29:48Z","timestamp":1725571788000},"source":"Crossref","is-referenced-by-count":9,"title":["Daily Dynamics of Resting-State Electroencephalographic Theta and Gamma Fluctuations Are Associated With Cognitive Performance in Healthy Aging"],"prefix":"10.1093","volume":"79","author":[{"given":"Kenza","family":"Bennis","sequence":"first","affiliation":[{"name":"Universit\u00e9 de Caen Normandie, Inserm, EPHE-PSL , CHU de Caen, GIP Cyceron, U1077, NIMH, 14000 Caen ,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francis","family":"Eustache","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Caen Normandie, Inserm, EPHE-PSL , CHU de Caen, GIP Cyceron, 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