ArticleNPJ digital medicine2024
Generalized sleep decoding with basal ganglia signals in multiple movement disorders.
Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Sleep circuit modulation: from animal models to human translation.Brain : a journal of neurology · 2026Review
- Acute and Chronic Local Field Potential Recordings in Dystonia-A Systematic Review.Movement disorders clinical practice · 2026Review
- Decoding the impact of visual states on adaptive deep brain stimulation feedback signals in movement disorders.NPJ Parkinson's disease · 2026Article
- Personalized supervised and unsupervised intracranial sleep decoding during deep brain stimulation.NPJ digital medicine · 2026Article
- A unified time-frequency foundation model for sleep decoding.Nature communications · 2026Article
- Distance of bipolar re-referencing imparts nonlinear frequency-specific influences on intracranial recording signal measurements.Journal of neural engineering · 2025Article
- Status dystonicus is a distinct state characterized by pallidal beta-band activity.Nature communications · 2025Article
- From adaptive deep brain stimulation to adaptive circuit targeting.Nature reviews. Neurology · 2025Review
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Authors and funding
23 authors.
Funding
Abstract
Sleep disturbances profoundly affect the quality of life in individuals with neurological disorders. Closed-loop deep brain stimulation (DBS) holds promise for alleviating sleep symptoms, however, this technique necessitates automated sleep stage decoding from intracranial signals. We leveraged overnight data from 121 patients with movement disorders (Parkinson's disease, Essential Tremor, Dystonia, Essential Tremor, Huntington's disease, and Tourette's syndrome) in whom synchronized polysomnograms and basal ganglia local field potentials were recorded, to develop a generalized, multi-class, sleep specific decoder - BGOOSE. This generalized model achieved 85% average accuracy across patients and across disease conditions, even in the presence of recordings from different basal ganglia targets. Furthermore, we also investigated the role of electrocorticography on decoding performances and proposed an optimal decoding map, which was shown to facilitate channel selection for optimal model performances. BGOOSE emerges as a powerful tool for generalized sleep decoding, offering exciting potentials for the precision stimulation delivery of DBS and better management of sleep disturbances in movement disorders.
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Registered trials
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