{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"medRxiv"}],"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T21:19:25Z","timestamp":1792790365429,"version":"4.5.0"},"posted":{"date-parts":[[2026,9,21]]},"group-title":"Psychiatry and Clinical Psychology","reference-count":26,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.medrxiv.org\/about\/FAQ#license"}],"funder":[{"award":["R01MH139889"],"award-info":[{"award-number":["R01MH139889"]}],"id":[{"id":"https:\/\/ror.org\/04xeg9z08","id-type":"ROR","asserted-by":"publisher"}]},{"name":"National Institute of Neurological Disorders and Stroke","award":["UH3NS136631"],"award-info":[{"award-number":["UH3NS136631"]}],"id":[{"id":"https:\/\/ror.org\/01s5ya894","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Brain & Behavior Research Foundation","id":[{"id":"https:\/\/ror.org\/03a63f080","id-type":"ROR","asserted-by":"crossref"}]},{"id":[{"id":"https:\/\/ror.org\/01pg81m90","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,9,21]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Chronic sensing-enabled deep brain stimulation (DBS) devices enable long-term neural recordings in naturalistic settings, but interpreting these data requires concurrent behavioral context. Our objective was to develop a reproducible end-to-end framework for continuous acquisition and synchronization of wearable-derived behavioral data alongside chronic DBS recordings to enable longitudinal neurobehavioral studies.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Approach<\/jats:title>\n                  <jats:p>We developed a publicly available software framework that includes automated wearable data ingestion, neural artifact handling, epoch-based temporal synchronization, and generation of analysis-ready neurobehavioral datasets. We tested this framework using simultaneous sensing-enabled DBS and Oura Ring recordings from three participants with obsessive-compulsive disorder.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Main results<\/jats:title>\n                  <jats:p>Using this framework, we synchronized 6,384 hours of intracranial neural recordings and wearable-derived data. The resulting multimodal neurobehavioral datasets spanned months of ambulatory monitoring and integrated chronic neural recordings with sleep-wake state, physical activity, autonomic physiology, and DBS parameters. Benchtop testing revealed 12 seconds of Medtronic Percept clock drift relative to network time over a one-week period. This temporal error was substantially smaller than the 10-minute sampling interval of the chronic neural recordings, supporting reliable alignment with wearable-derived data.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Significance<\/jats:title>\n                  <jats:p>This work provides an open-source, reproducible framework for continuous acquisition, synchronization, and analysis of wearable-derived data alongside sensing-enabled DBS recordings. By reducing the technical barriers to generating behaviorally annotated neural datasets, this framework enables scalable longitudinal neurobehavioral studies and provides practical foundation for biomarker discovery.<\/jats:p>\n                <\/jats:sec>","DOI":"10.64898\/2026.09.18.26363453","type":"posted-content","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T01:35:18Z","timestamp":1790040918000},"source":"Crossref","is-referenced-by-count":0,"title":["A Reproducible Framework for Integrating Chronic Deep Brain Stimulation Sensing with Wearable Behavioral Monitoring"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4264-1506","authenticated-orcid":false,"given":"Saipravallika","family":"Chamarthi","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 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