An open science resource for accelerating scalable digital health research in autism and other neurodevelopmental conditions

The Simons Sleep Project (SSP) is an open-science resource designed to accelerate digital health research into sleep and daily behaviors of autistic children. The SSP contains data from Dreem3 EEG headbands, multi-sensor EmbracePlus smartwatches and Withings' sleep mats, as well as parent questionnaires and daily sleep diaries. It contains data from >3,600 days and nights collected from 102 children (aged 10-17 years) with idiopathic autism and 98 of their nonautistic siblings, and enables access to whole-exome sequencing for all participants. Here we present the breadth of available harmonized data and show that digital devices have higher accuracy and reliability compared to parent reports. The data show that autistic children have longer sleep-onset latencies than their siblings and longer latencies are associated with behavioral difficulties in all participants, regardless of diagnosis. The results highlight the advantages of using digital devices and demonstrate the opportunities afforded by the SSP to study autism and develop broad digital phenotyping techniques.

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Publication Details

Journal
Nature Neuroscience
Published
2025-12-30
DOI
https://doi.org/10.1038/s41593-025-02146-3
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43

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article

An open science resource for accelerating scalable digital health research in autism and other neurodevelopmental conditions

Brigitta B. Gundersen, John E. Spiro, Adam Shapira Levy, Ilan Dinstein et al.
1 citations
Nature Neuroscience
Autism Spectrum Disorder Research
1.43
article

An open science resource for accelerating scalable digital health research in autism and other neurodevelopmental conditions

Brigitta B. Gundersen, John E. Spiro, Adam Shapira Levy, Ilan Dinstein, Micha Hacohen, Alpha Amatya, Hadas Kaiser, LeeAnne Green Snyder
article en
1 citations

Abstract

The Simons Sleep Project (SSP) is an open-science resource designed to accelerate digital health research into sleep and daily behaviors of autistic children. The SSP contains data from Dreem3 EEG headbands, multi-sensor EmbracePlus smartwatches and Withings' sleep mats, as well as parent questionnaires and daily sleep diaries. It contains data from >3,600 days and nights collected from 102 children (aged 10-17 years) with idiopathic autism and 98 of their nonautistic siblings, and enables access to whole-exome sequencing for all participants. Here we present the breadth of available harmonized data and show that digital devices have higher accuracy and reliability compared to parent reports. The data show that autistic children have longer sleep-onset latencies than their siblings and longer latencies are associated with behavioral difficulties in all participants, regardless of diagnosis. The results highlight the advantages of using digital devices and demonstrate the opportunities afforded by the SSP to study autism and develop broad digital phenotyping techniques.

Nature NeuroscienceVol. 29(2)
Ben-Gurion University of the Negev (IL), Simons Foundation (US)
Simons Foundation Autism Research Initiative
Openalex Percentile: Top 13%
Autism Spectrum Disorder Research
1.43
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