ArticleJournal of sleep research2019
Inferring sleep stage from local field potentials recorded in the subthalamic nucleus of Parkinson's patients.
Article in Journal of sleep research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Sleep macro-architecture in patients with Parkinson's disease does not change during the first night of neurostimulation in a pilot study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Trial
- Shared Spectral Parameters Between EEG and Basal Ganglia LFP Distinguish Sleep-Specific Oscillations in Parkinson's Disease.European journal of neurology · 2026Article
- Nonmotor Symptoms in Parkinson's Disease: Neurophysiology Biomarkers and Neuromodulation Approaches.Stereotactic and functional neurosurgery · 2026Review
- The potential of utilizing Local Field Potential (LFP) in diagnosis and management of Parkinsonism's hallmark symptoms: a comprehensive review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Personalized supervised and unsupervised intracranial sleep decoding during deep brain stimulation.NPJ digital medicine · 2026Article
- Local Field Potential Biomarkers of Non-Motor Symptoms in Parkinson's Disease: Insights From the Subthalamic Nucleus in Deep Brain Stimulation.The European journal of neuroscience · 2025Review
- Contribution of basal ganglia activity to REM sleep disorder in Parkinson's disease.Journal of neurology, neurosurgery, and psychiatry · 2024Article
- Generalized sleep decoding with basal ganglia signals in multiple movement disorders.NPJ digital medicine · 2024Article
- Multi-night cortico-basal recordings reveal mechanisms of NREM slow-wave suppression and spontaneous awakenings in Parkinson's disease.Nature communications · 2024Article
- Multi-night cortico-basal recordings reveal mechanisms of NREM slow wave suppression and spontaneous awakenings at high-temporal resolution in Parkinson's disease.Research square · 2023Article
- Exploring the network effects of deep brain stimulation for rapid eye movement sleep behavior disorder in Parkinson's disease.Acta neurochirurgica · 2023Article
- Pathological pallidal beta activity in Parkinson's disease is sustained during sleep and associated with sleep disturbance.Nature communications · 2023Article
- Closed-Loop Adaptive Deep Brain Stimulation in Parkinson's Disease: Procedures to Achieve It and Future Perspectives.Journal of Parkinson's disease · 2023Review
- Parkinsonian daytime sleep-wake classification using deep brain stimulation lead recordings.Neurobiology of disease · 2023Article
- Deep brain-machine interfaces: sensing and modulating the human deep brain.National science review · 2022Review
- Impaired reach-to-grasp kinematics in parkinsonian patients relates to dopamine-dependent, subthalamic beta bursts.NPJ Parkinson's disease · 2021Article
- Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework.Frontiers in neuroscience · 2021Article
- Basal Ganglia Local Field Potentials as a Potential Biomarker for Sleep Disturbance in Parkinson's Disease.Frontiers in neurology · 2021Review
- Basal ganglia beta oscillations during sleep underlie Parkinsonian insomnia.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease (PD) is highly comorbid with sleep dysfunction. In contrast to motor symptoms, few therapeutic interventions exist to address sleep symptoms in PD. Subthalamic nucleus (STN) deep brain stimulation (DBS) treats advanced PD motor symptoms and may improve sleep architecture. As a proof of concept toward demonstrating that STN-DBS could be used to identify sleep stages commensurate with clinician-scored polysomnography (PSG), we developed a novel artificial neural network (ANN) that could trigger targeted stimulation in response to inferred sleep state from STN local field potentials (LFPs) recorded from implanted DBS electrodes. STN LFP recordings were collected from nine PD patients via a percutaneous cable attached to the DBS lead, during a full night's sleep (6-8 hr) with concurrent polysomnography (PSG). We trained a feedforward neural network to prospectively identify sleep stage with PSG-level accuracy from 30-s epochs of LFP recordings. Our model's sleep-stage predictions match clinician-identified sleep stage with a mean accuracy of 91% on held-out epochs. Furthermore, leave-one-group-out analysis also demonstrates 91% mean classification accuracy for novel subjects. These results, which classify sleep stage across a typical heterogenous sample of PD patients, may indicate spectral biomarkers for automatically scoring sleep stage in PD patients with implanted DBS devices. Further development of this model may also focus on adapting stimulation during specific sleep stages to treat targeted sleep deficits.
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