AAN 2023 | Mapping sleep’s oscillatory events as a biomarker of neurodegeneration

Alberto Ramos, MD, FAAN, University of Miami Miller School of Medicine, Miami, FL, discusses the research on signal processing analysis of EEG data during sleep, specifically focusing on slow oscillations and their association with different types of spindles and theta-burst. These findings not only contribute to understanding memory functions and circuitry but also help identify individuals at risk for degenerative processes, such as higher levels of tau in the CSF or other amyloid markers. These results could potentially serve as a metric or tool to identify at-risk participants and investigate the underlying mechanisms. This interview took place at the American Academy of Neurology Annual Meeting 2023 in Boston, MA.

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