Want to be an early adopter of two new web-based tools (Moonlight & Moonbeam) for sleep signals, specifically designed to view NSRR data? If so, 1) read on, 2) head to https://remnrem.net/ to play with them and 3) please do give us any feedback. What is Moonlight? Moonlight is an interactive viewer for polysomnographic data. It is built on top of the command-line Luna package (https://zzz.bwh.harvard.edu/luna/), written using R and the Shiny library. Keep reading
Guest blogger: Grégory Hammad, Ir, PhD GIGA-CRC in vivo imaging, University of Liège, Liège, Belgium, Chair of Neurogenetics, Faculty of Medicine, Technical University of Munich, Munich, Germany Overview PyActigraphy is an open-source Python software for actigraphy and light data analysis. Keep reading
Any researchers who have tried to combine multiple datasets or validate findings in another dataset know how heterogeneity across datasets can make the process difficult or even impossible. At NSRR, we are working to address these challenges by standardizing and harmonizing important sleep measures and non-sleep covariates retrospectively. Standardization aims to reach uniformity in metadata across datasets, be it channel labels, annotations, variable definitions, sleep terminology, etc. Keep reading
Guest Blogger: Diego R. Mazzotti, Ph.D. University of Kansas Medical Center Overview In this post, we will discuss some of the highlights of a Workshop Report recently published in SLEEP1 by our colleagues at the Sleep Research Network (SRN), a Task Force from the Sleep Research Society (SRS). This report summarizes a discussion panel held at the World Sleep Congress in Vancouver, Canada in 2019, that brought together leaders in sleep, circadian sciences, and biomedical informatics. Keep reading
Article Citations Rao, G., S. Redline, F. Schilbach, H. Schofield, and M. Toma. (2021). Informing Sleep Policy Through Field Experiments, Science, Volume 374, Issue 6567, https://doi.org/10.1126/science.abk2594 Bessone, P., G. Rao, F. Schilbach, H. Schofield, and M. Toma. (2021). The Economic Consequences of Increasing Sleep Among the Urban Poor, Quarterly Journal of Economics, Volume 136, Issue 3, https://doi.org/10. Keep reading
In this post we feature work from the following publication: Adrián Martín-Montero, Gonzalo C Gutiérrez-Tobal, Leila Kheirandish-Gozal, Fernando Vaquerizo-Villar, Daniel Álvarez, Félix del Campo, David Gozal, Roberto Hornero, Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution, Sleep, Volume 45, Issue 2, February 2022, zsab214, https://doi.org/10. Keep reading
Overview/Abstract What is the problem being addressed? Insomnia and obstructive sleep apnea commonly co-occur (COMISA). Their co-occurrence has been associated with worse cardiometabolic and mental health. However, it remains unknown if people with COMISA are at a heightened risk of incident cardiovascular events and all-cause mortality. Keep reading
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