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One of the reasons that may account for this inconsistency is the lack of consideration of temporal dynamics. To address this limitation, here we studied the dynamic modular organization on resting-state functional magnetic resonance imaging across different stages of Alzheimer\u2019s disease using a novel multilayer brain network approach. Participants from preclinical and clinical Alzheimer\u2019s disease stages were included. Temporal multilayer networks were used to assess time-varying modular organization. Logistic regression models were employed for disease stage discrimination, and partial least squares analyses examined associations between dynamic measures with cognition and pathology. Temporal multilayer functional measures distinguished all groups, particularly preclinical stages, overcoming the discriminatory power of risk factors such as age, sex, and APOE \u03f54 carriership. Dynamic multilayer functional measures exhibited strong associations with cognition as well as amyloid and tau pathology. Dynamic multilayer functional connectivity shows promise as a functional imaging biomarker for both early- and late-stage Alzheimer\u2019s disease diagnosis.<\/jats:p>","DOI":"10.1093\/cercor\/bhad542","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T03:47:05Z","timestamp":1705031225000},"source":"Crossref","is-referenced-by-count":25,"title":["Dynamic multilayer functional connectivity detects preclinical and clinical Alzheimer\u2019s disease"],"prefix":"10.1093","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7460-741X","authenticated-orcid":false,"given":"Anna","family":"Canal-Garcia","sequence":"first","affiliation":[{"name":"Department of Clinical Neuroscience, Karolinska Institutet , Stockholm 17165 , Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D\u00e1niel","family":"Ver\u00e9b","sequence":"additional","affiliation":[{"name":"Department of Clinical Neuroscience, Karolinska Institutet , Stockholm 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