AI for automated sleep staging is considered mature and has found its way to commercial sleep evaluation systems. Systems underpinned by deep learning require large datasets providing a broad sample of sleep stages the machine seeks to ‘learn’. Of concern, most databases used for developing AI sleep stagers include only recordings from adults, creating a significant inherent sample bias when applied to when applied in the pediatric or geriatric sleep setting. 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 PyActigraphy is an open-source Python software for actigraphy and light data analysis. Keep reading
Guest Blogger: Diego R. Mazzotti, Ph.D. University of Kansas Medical Center 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
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
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
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
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
Guest Blogger: Mattias Baumert What is the problem being addressed? Our objective was to quantify the burden of cortical arousals throughout sleep and determine its association with long-term cardiovascular (CV) and overall mortality. What was the approach to solving the problem? We quantified arousal burden (AB) as the cumulative duration of all arousal events relative to total sleep time in three large cohort studies. Keep reading
In an effort to highlight new and exciting work related to the NSRR, we are featuring guest blog posts from authors who have recently published using NSRR data. The following references: Zeng S, Li F, Wang R, Li F. Propensity score weighting for covariate adjustment in randomized clinical trials. Statistics in Medicine. 2020;1–17. https://doi.org/10.1002/sim.8805 Please contact support@sleepdata.org if you have new work you would like to share in a guest blog post. Keep reading