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Higher MEG alpha power was associated with increased near-term risk, whereas higher gamma activity predicted lower near-term risk; both effects weakened over time. Higher neocortical amyloid burden predicted increasing risk over follow-up, whereas plasma biomarkers and entorhinal tau predicted higher risk without significant time-varying effects. These findings support a time-sensitive multimodal framework for identifying cognitively unimpaired individuals at risk of MCI due to AD.\n                  <\/jats:p>","DOI":"10.1126\/sciadv.aee2305","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T18:01:07Z","timestamp":1786557667000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of mild cognitive impairment progression using time-sensitive multimodal biomarkers"],"prefix":"10.1126","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1048-2352","authenticated-orcid":true,"given":"Jonathan","family":"Gallego-Rudolf","sequence":"first","affiliation":[{"name":"Douglas Research Centre, McGill University, Montreal, Canada."},{"name":"McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, 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