ArticleBrain stimulation
Decoding voluntary movements and postural tremor based on thalamic LFPs as a basis for closed-loop stimulation for essential tremor.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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37 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.
- Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.Sovremennye tekhnologii v meditsine · 2021Pooled it
- Decoding pre-movement neural activity from thalamic LFPs for adaptive neurostimulation in tremor patients.Neurocomputing · 2026Article
- Local Field Potentials in Movement Disorders: A Narrative Review.Stereotactic and functional neurosurgery · 2026Review
- Dissociation between Simple and Complex Speech Motor Tasks within the Bilateral Motor Thalamus.eNeuro · 2025Article
- Degradation-aware neural imputation: Advancing decoding stability in brain machine interfaces.APL bioengineering · 2025Article
- Spectral changes in motor thalamus field potentials during movement.Journal of neurophysiology · 2025Article
- Cognition of Time and Thinking Beyond.Advances in experimental medicine and biology · 2024Review
- Clinical and physiological characteristics of tremor in a large cohort of focal and segmental dystonia.Dystonia (Lausanne, Switzerland) · 2024Article
- Usefulness of thalamic beta activity for closed-loop therapy in essential tremor.Scientific reports · 2023Article
- Beta-triggered adaptive deep brain stimulation during reaching movement in Parkinson's disease.Brain : a journal of neurology · 2023Article
- Landscape and future directions of machine learning applications in closed-loop brain stimulation.NPJ digital medicine · 2023Review
- Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials.Frontiers in human neuroscience · 2023Article
- Advances in Technical Aspects of Deep Brain Stimulation Surgery.Stereotactic and functional neurosurgery · 2023Review
- Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation.Experimental neurology · 2022Review
- Essential Tremor-Do We Have Better Therapeutics? A Review of Recent Advances and Future Directions.Current neurology and neuroscience reports · 2022Review
- Eight-hours conventional versus adaptive deep brain stimulation of the subthalamic nucleus in Parkinson's disease.NPJ Parkinson's disease · 2021Article
- Electrophysiological biomarkers for deep brain stimulation outcomes in movement disorders: state of the art and future challenges.Journal of neural transmission (Vienna, Austria : 1996) · 2021Review
- Neurophysiological biomarkers to optimize deep brain stimulation in movement disorders.Neurodegenerative disease management · 2021Review
- Closed-Loop Deep Brain Stimulation for Essential Tremor Based on Thalamic Local Field Potentials.Movement disorders : official journal of the Movement Disorder Society · 2021Article
- Technology of deep brain stimulation: current status and future directions.Nature reviews. Neurology · 2021Review
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Authors and funding
12 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundHigh frequency Deep brain stimulation (DBS) targeting motor thalamus is an effective therapy for essential tremor (ET). However, conventional continuous stimulation may deliver unnecessary current to the brain since tremor mainly affects voluntary movements and sustained postures in ET.
objectiveWe aim to decode both voluntary movements and the presence of postural tremor from the Local field potentials (LFPs) recorded from the electrode implanted in motor thalamus for stimulation, in order to close the loop for DBS so that stimulation could be delivered on demand, without the need for peripheral sensors or additional invasive electrodes.
methodsLFPs from the motor thalamus, surface electromyographic (EMG) signals and/or behavioural measurements were simultaneously recorded in seven ET patients during temporary lead externalisation 3-5 days after the first surgery for DBS when they performed different voluntary upper limb movements. Nine different patients were recorded during the surgery, when they were asked to lift their arms to trigger postural tremor. A machine learning based binary classifier was used to detect voluntary movements and postural tremor based on features extracted from thalamic LFPs.
resultsCross-validation demonstrated that both voluntary movements and postural tremor can be decoded with an average sensitivity of 0.8 and false detection rate of 0.2. Oscillatory activities in the beta frequency bands (13-23 Hz) and the theta frequency bands (4-7 Hz) contributed most to the decoding of movements and postural tremor, respectively, though incorporating features in different frequency bands using a machine learning approach increased the accuracy of decoding.
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