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New virtual issue of SLEEP on "Sleep and Big Data", guest edited by Dr. Susan Redline highlights new advances in big data approaches to sleep, and includes a special editorial by Dr. Redline and Dr. Shaun Purcell: https://academic.oup.com/sleep/pages/big-data-vi

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The Aging Slow Wave

Article Citation McConnell, B. V., Kronberg, E., Teale, P. D., Sillau, S. H., Fishback, G. M., Kaplan, R. I., ... & Bettcher, B. M. (2021). The aging slow wave: a shifting amalgam of distinct slow wave and spindle coupling subtypes define slow wave sleep across the human lifespan, Sleep, Volume 44, Issue 10, October 2021, zsab125, https://doi.org/10. Keep reading

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By michaelprerau on November 29, 2021 Nov 29, 2021 in Guest Blogger

Navigating the spectral slopes of the NSRR cohorts

Nataliia Kozhemiako & Shaun Purcell We recently used NSRR data to study the so-called spectral slope of the electroencephalogram (EEG), during wake, NREM and REM sleep. This work (described in a bioRxiv pre-print, Kozhemiako et al.) points to the power of NSRR data: thousands of polysomnographic studies that can be rapidly and freely repurposed to address a broad array of research questions. Keep reading

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By shaunpurcell on November 8, 2021 Nov 8, 2021 in Data Notes

ENIGMA-Sleep working group: An international sleep collaboration

What is the ENIGMA-Sleep? The Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA) consortium is a global collaboration of over 1400 scientists across 43 countries, studying neuropsychiatric illnesses and provides a powerful collaborative framework around the world. ENIGMA has more than 50 working groups, pooling large-scale coordinated data and expertise to answer fundamental clinical and neuroscientific questions, which offers testing reproducibility and robustness of findings (1). Keep reading

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By michaelprerau on September 20, 2021 Sep 20, 2021 in Guest Blogger
An NHLBI resource for the sleep research community.

45,243

Individuals Represented

45,243

Individuals Represented

7.89 TB

Stored on the Resource

7.89 TB

Stored on the Resource

717 TB

Shared with Researchers

717 TB

Shared with Researchers