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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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
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
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