Prerau Lab retweeted
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…
Prerau Lab retweeted
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…
Prerau Lab retweeted
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.
Prerau Lab retweeted
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…
Prerau Lab retweeted
Fingerprinting Sleeping Brain Activity
@PrerauLab @harvardmed @MassGeneralNews
hms.harvard.edu/news/fingerp…
Prerau Lab retweeted
Researchers led by @PrerauLab found that individual patterns in #sleep apnea provide a better approach to diagnosis and treatment
Paper in @ResearchSleep: academic.oup.com/sleep/advan…
News summary: bwhclinicalandresearchnews.o…
Prerau Lab retweeted
A study from @PrerauLab finds transient oscillation dynamics during #sleep provide a robust basis for electroencephalographic phenotyping and biomarker identification.
Summary: brighamandwomens.org/about-b…
Paper in @ResearchSleep: academic.oup.com/sleep/advan…
Prerau Lab retweeted
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
Prerau Lab retweeted
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…






