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Blog

The NSRR Cohort Matrix: An easier way to explore the NSRR datasets

The NSRR is constantly developing new tools to improve its user experience. One of the newly developed applications, as inspired by the Dementias Platform, is the Cohort Matrix. The NSRR cohort matrix consists of three tabs: "Cohort Overview" tab provides summary of the key characteristics (e.g. sample size, age range, license, etc.), sleep data availability (e.g. polysomnography EDF files, actigraphy, etc.) and links back to the dataset introduction page. Keep reading

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By yzhang on August 26, 2021 Aug 26, 2021 in Releases

Arousal Burden is Linked with Long-Term Cardiovascular and All-Cause Mortality

Guest Blogger: Mattias Baumert Overview 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

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By michaelprerau on June 16, 2021 Jun 16, 2021 in Guest Blogger

Improving clinical trials with propensity score weighting

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

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By NSRR on January 5, 2021 Jan 5, 2021 in Guest Blogger

AHI Uncertainty: How Many Patients are Being Denied Treatment Due to Chance?

A patient's apnea-hypopnea index (AHI) determines whether or not they are eligible for reimbursable treatment. But how certain can we be that a patient's AHI is actually above or below a clinical threshold? In this study using 2049 subjects from MESA dataset from NSRR, we develop a metric for computing a confidence interval around a patient's AHI. Keep reading

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By michaelprerau on November 16, 2020 Nov 16, 2020 in Showcase

NHLBI Continues Its Support of the National Sleep Research Resource

Brigham and Women's Hospital, June 9, 2020 – The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health (NIH), has announced that the National Sleep Research Resource (NSRR), hosted by Brigham and Women's Hospital, was awarded a five-year contract, facilitating an expansion of capabilities and providing support for increased community involvement. Keep reading

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By NSRR on June 9, 2020 Jun 9, 2020 in News

nuMoM2b dataset released

The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b), which began in 2010, studies pregnant women who will be delivering for the first time (nulliparous women). This prospective cohort study evaluates the underlying, interrelated mechanisms of several common adverse pregnancy outcomes, which can be unpredictable in women who have little or no pregnancy history, to help guide their treatment. Keep reading

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By mrueschman on April 9, 2020 Apr 9, 2020 in Releases

Visualizing NSRR data

To paraphrase the adage, a picture is worth a thousand numbers. In order to investigate some basic properties of NSRR datasets, here we generate a number of whole-dataset visualizations. To make sense of these images, we’ll employ a remarkably complex computational pattern recognition and dimension reduction framework, a.k.a. the human visual system. Keep reading

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By shaunpurcell on January 22, 2020 Jan 22, 2020 in Data Notes

Tools for the analysis of sleep data

The NSRR is revamping its Tools pages and needs your help! Have you developed a tool for the analysis of sleep data that you'd like others to know about and use? Do you have some tricks and tips for using existing packages that you'd like to share? What about a write-up listing your favorite tools, explaining how you use them and what's good about them? Or perhaps you'd like to share some data analytic problems that aren't met by existing tools? If so, we'd love for you to submit a gues. Keep reading

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By shaunpurcell on September 13, 2019 Sep 13, 2019 in Tools

UMAP clustering of NSRR data

Visualizing data is almost always useful, but this can be difficult when you have a lot of complex data. This is where dimension reduction techniques can play an important role. As described here, we applied one such technique to sleep EEG spectra from over 16,000 individuals in the NSRR, to get a feel for some of the sources of individual differences (both physiological and artefactual) in these data. Keep reading

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By shaunpurcell on May 28, 2019 May 28, 2019 in Data Notes

Luna: software for the analysis of sleep signal data

Luna is a C/C++ library focused on the analysis of large numbers of sleep studies, such as those available from the NSRR. Luna is completely open-source and not dependent on proprietary software. If you're interested in analyzing sleep signals from the NSRR, you might want to start by looking at Luna. Currently, there is a command-line tool (lunaC) and an extension library for R (lunaR). Keep reading

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By shaunpurcell on May 28, 2019 May 28, 2019 in Tools