Beta Burst-Driven Adaptive Deep Brain Stimulation Improves Gait Impairment and Freezing of Gait in Parkinson's Disease

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 27, 2024

Freezing of gait (FOG) is a debilitating symptom Parkinson's disease (PD) that often refractory to medication. Pathological prolonged beta bursts within the subthalamic nucleus (STN) are associated with both worse impairment and freezing behavior in PD, which improved deep brain stimulation (DBS). The goal current study was investigate feasibility, safety, tolerability burst-driven adaptive DBS (aDBS) for FOG PD.

Language: Английский

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Proceedings of the 12th annual deep brain stimulation think tank: cutting edge technology meets novel applications

Frontiers in Human Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: Feb. 25, 2025

The Deep Brain Stimulation (DBS) Think Tank XII was held on August 21st to 23rd. This year we showcased groundbreaking advancements in neuromodulation technology, focusing heavily the novel uses of existing technology as well next-generation technology. Our keynote speaker shared vision using neuro artificial intelligence predict depression brain electrophysiology. Innovative applications are currently being explored stroke, disorders consciousness, and sleep, while established treatments for movement like Parkinson's disease refined with adaptive stimulation. Neuromodulation is solidifying its role treating psychiatric such obsessive-compulsive disorder, particularly patients treatment-resistant symptoms. We estimate that 300,000 leads have been implanted date neurologic neuropsychiatric indications. Magnetoencephalography has provided insights into post-DBS physiological changes. field also critically examining ethical implications implants, considering long-term impacts clinicians, patients, manufacturers.

Language: Английский

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Essential tremor disrupts rhythmic brain networks during naturalistic movement

Neurobiology of Disease, Journal Year: 2025, Volume and Issue: unknown, P. 106858 - 106858

Published: Feb. 1, 2025

Language: Английский

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Deep Brain Stimulation (DBS) in Treatment-Resistant Depression (TRD): Hope and Concern

Advances in experimental medicine and biology, Journal Year: 2024, Volume and Issue: unknown, P. 161 - 186

Published: Jan. 1, 2024

Language: Английский

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Field-Programmable Gate Array Based Ultra-Low Power Discrete Fourier Transforms for Closed-Loop Neural Sensing

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Digital implementations of discrete Fourier transforms (DFT) are a mainstay in feature assessment recorded biopotentials, particularly the quantification biomarkers neurological disease state for adaptive deep brain stimulation. Fast transform (FFT) algorithms and architectures present substantial power demand from onboard batteries implantable medical devices, necessitating development ultra-low methods resource-constrained environments. Numerous FFT aim to optimize resource through computational efficiency; however, prioritizing reduction logic complexity at cost additional computations can be equally or more effective. This paper introduces minimal architecture single-delay feedback (mSDF-DFT) use ultra-low-power field programmable gate array applications shows energy improvements over state-of-the-art methods. We observe 33% dynamic 4% utilization neural sensing application when compared algorithms. While designed closed-loop stimulation device implementations, mSDF-DFT is also easily extendable any embedded application.

Language: Английский

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Closing the Loop in DBS: A Data-driven Approach

Parkinsonism & Related Disorders, Journal Year: 2025, Volume and Issue: unknown, P. 107348 - 107348

Published: Feb. 1, 2025

Language: Английский

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Basal ganglia theta power indexes trait anxiety in people with Parkinson's disease

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 5, 2024

Neuropsychiatric symptoms are common and disabling in Parkinson's disease (PD), with troublesome anxiety occurring one-third of patients. Management PD is challenging, hampered by insufficient insight into underlying mechanisms, lack objective measurements, largely ineffective treatments.In this study, we assessed the intracranial neurophysiological correlates patients treated deep brain stimulation (DBS) laboratory at home. We hypothesized that low-frequency (theta-alpha) activity would be associated anxiety.

Language: Английский

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Sustained Clinical Benefit of Adaptive Deep Brain Stimulation in Parkinson's Disease Using Gamma Oscillations: A Case Report

Movement Disorders, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Abstract Background Adaptive deep brain stimulation (aDBS) dynamically adjusts parameters according to patient needs. We recently showed that chronic aDBS utilizing invasive neural signals for feedback control is superior conventional DBS (cDBS) during normal daily life in a 2‐month trial. The stability of over longer periods remains unclear. Objectives To assess the effects on motor symptoms and quality (QoL) one individual with Parkinson's disease 8 months. Methods used stimulation‐entrained cortical gamma oscillations as signal subthalamic nucleus quantified benefits using diary ratings, QoL scales, wearable metrics. Results found delivered consistent compared baseline cDBS measures bradykinesia QoL. Conclusions can achieve prolonged, stable improvement clinically optimized cDBS. stable, remain appropriate extended periods. © 2024 International Parkinson Movement Disorder Society.

Language: Английский

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Subthalamic nucleus activity modifications prior to clinical impairment in a progressive model of Parkinson’s disease

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 22, 2024

ABSTRACT Background Parkinson’s disease (PD) diagnosis relies on motor symptoms such as akinesia, rigidity, and tremor, which manifest late in the course, contributing to delayed diagnosis. However, cognitive, limbic manifestations may precede symptoms, offering an earlier diagnostic opportunity, but their early kinetics require further characterization. Although high frequency deep brain stimulation (DBS) of subthalamic nucleus (STN) significantly improves it does not specifically address non-motor symptoms. Here, we aimed correlate STN activity with onset motor, PD propose specific STN-DBS paradigm both Methods Local field potentials were recorded two non-human primates ( Macaca fascicularis ) performing a behavioral task assessing reward-related behaviors. A progressive model PD, consisting small injections 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP, 0.2-0.5mg/kg), was used characterize behavior for several months until Finally, when stable parkinsonian syndrome established, effects high- (HFS, 130Hz) low- (LFS, 4Hz) stimulations investigated. Results After first MPTP injections, observed from stage 1, asymptomatic, 3 limbic, Each associated changes electrophysiological activity. Stage 1 characterized by decrease power gamma/theta oscillations. 2 featured decline motivation decreased theta-band during decision-making. Later, increase error Switch trials observed, illustrating 2’, along beta-gamma following movement. defined response time while maintaining all neuronal changes. In 3, HFS applied dorsal improved reaction time, LFS ventral motivation. Conclusion Our results highlight timeline manifestations, followed cognitive then We identified biomarkers correlating preceding each symptom, providing insights into pathophysiology. our suggest that combined optimize outcomes, reducing

Language: Английский

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Robust adaptive deep brain stimulation control of in-silico non-stationary Parkinsonian neural oscillatory dynamics

Journal of Neural Engineering, Journal Year: 2024, Volume and Issue: 21(3), P. 036043 - 036043

Published: June 1, 2024

Abstract Objective . Closed-loop deep brain stimulation (DBS) is a promising therapy for Parkinson’s disease (PD) that works by adjusting DBS patterns in real time from the guidance of feedback neural activity. Current closed-loop mainly uses threshold-crossing on-off controllers or linear time-invariant (LTI) to regulate basal ganglia (BG) Parkinsonian beta band oscillation power. However, critical cortex-BG-thalamus network dynamics underlying PD are nonlinear, non-stationary, and noisy, hindering accurate robust control oscillatory dynamics. Approach Here, we develop new adaptive method regulating network. We first build an state-space model quantify dynamic, non-stationary then construct estimator track nonlinearity non-stationarity time. next design controller automatically determine frequency based on estimated state while reducing system’s sensitivity high-frequency noise. adopt tune biophysical as in-silico simulation testbed generate nonlinear evaluating methods. Main results find under different dynamics, our achieved regulation BG power with small error, bias, deviation. Moreover, generalizes across therapeutic targets consistently outperforms current LTI Significance These have implications future designs systems treat PD.

Language: Английский

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