Developing novel quantitative approaches to better understand the relationship between the sleep EEG and psychiatric and neurodegenerative disorders.

Brigham and Women's Hospital
Joined May 2021
In a new study, researchers from @PrerauLab and colleagues reveal the influences behind timing of sleep spindle production. The study was published in @PNASNews. Read more: bwhclinicalandresearchnews.o… doi.org/10.1073/pnas.2405276…
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Can a fingerprint of your brain unlock the mysteries of cognitive disorders? 🧠 In @SmithsonianMag, I explore how scientists are harnessing the brain's power for mental health. Read more here! smithsonianmag.com/science-n…
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New work mapping typical & atypical brain development through the lens of the sleep EEG in 4000+ children. Stage-, band- and channel-specific maturational patterns plus prediction of chronological age which is accurate (r=0.95) and sensitive to disorder, incl. Down syndrome.
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New neuroimaging techniques highlight our brain’s “fingerprints” and their potential for identifying early signs of mental health disorders, including #schizophrenia, #anxiety, and #autism. Read my recent piece for @DiscoverMag here! discovermagazine.com/mind/ho…
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Luna (software for sleep signals) -- new version out today. Lots of fixes, speed-ups and new functions: zzz.bwh.harvard.edu/luna/upd… In particular, commands for hdEEG: ICA, EEG microstates, new connectivity metrics, permutation-based linear models, data reduction via SVD, etc
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Assistant Prof. Michael Prerau and his team developed a new algorithm that automatically identifies patient-specific #EEG oscillations, eliminating the need for fixed frequency bands, which poorly generalize across populations @IEEEXplore ieeexplore.ieee.org/document…
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