Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson’s Disease DOI Creative Commons
Akash Mishra,

Vikram S. Bajaj,

Toni Fitzpatrick

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4296 - 4296

Published: July 2, 2024

The current approach to assessing bradykinesia in Parkinson's Disease relies on the Unified Rating Scale (UPDRS), which is a numeric scale. Inertial sensors offer ability probe subcomponents of bradykinesia: motor speed, amplitude, and rhythm. Thus, we sought investigate differential effects high-frequency compared low-frequency subthalamic nucleus (STN) deep brain stimulation (DBS) these quantified facets bradykinesia.

Language: Английский

Gamma entrainment induced by deep brain stimulation as a biomarker for motor improvement with neuromodulation DOI Creative Commons
Varvara Mathiopoulou, Jeroen Habets, Lucia K. Feldmann

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 26, 2025

Abstract Finely tuned gamma (FTG) oscillations from the subthalamic nucleus (STN) and cortex in Parkinson’s disease (PD) patients undergoing deep brain stimulation (DBS) are often associated with dyskinesia. Recently it was shown that DBS entrains activity at 1:2 of frequency; however, functional role this signal is not yet fully understood. We recorded local field potentials STN 19 chronically implanted PD on dopaminergic medication during DBS, rest, repetitive movements. Here we show high-frequency induced entrainment 15/19 patients. Spontaneous FTG present 8 patients; five these dyskinesia occurred or were enhanced entrained stimulation. Further, there a significant increase power movement comparison to while had faster movements compared those without. These findings argue for relevance stimulation-induced as prokinetic that, necessarily promoting DBS-induced can be promising neurophysiological biomarker identifying optimal amplitude closed-loop DBS.

Language: Английский

Citations

0
Accuracy Analysis of Type-2 Fuzzy System in Predicting Parkinson’s Disease Using Biomedical Voice Measures DOI
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Hossein Ahmadi

et al.

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: 26(4), P. 1261 - 1284

Published: Feb. 19, 2024

Language: Английский

Citations

3
Time-resolved quantification of fine hand movements as a proxy for evaluating bradykinesia-induced motor dysfunction DOI Creative Commons
Rachel K. Spooner, Bahne H. Bahners, Alfons Schnitzler

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 4, 2024

Bradykinesia is a behavioral manifestation that contributes to functional dependencies in later life. However, the current state of bradykinesia indexing primarily relies on subjective, time-averaged categorizations motor deficits, which often yield poor reliability. Herein, we used time-resolved analyses accelerometer recordings during standardized movements, data-driven factor analyses, and linear mixed effects models (LMEs) quantitatively characterize general, task- therapy-specific indices impairment people with Parkinson's disease (PwP) currently undergoing treatment for bradykinesia. Our results demonstrate single-trial, accelerometer-based features finger-tapping rotational hand movements were significantly modulated by divergent therapeutic regimens. Further, these corresponded well gold standards symptom monitoring, more precise predictive capacities bradykinesia-specific declines achieved when considering kinematic from diverse movement types together, rather than isolation. report data-driven, sample-specific profiles along continuous spectrum impairment, importantly, preserves temporal scale biomechanical fluctuations deficits evolve humans. Therefore, this approach may prove useful tracking bradykinesia-induced decline aging populations future.

Language: Английский

Citations

2
Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson’s Disease Using Machine Learning DOI Creative Commons
Rene Peter Bremm, Lukas Pavelka,

María M. García

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(7), P. 2195 - 2195

Published: March 29, 2024

Wearable sensors could be beneficial for the continuous quantification of upper limb motor symptoms in people with Parkinson’s disease (PD). This work evaluates use two inertial measurement units combined supervised machine learning models to classify and predict a subset MDS-UPDRS III subitems PD. We attached compact wearable on dorsal part each hand 33 PD 12 controls. Each participant performed six clinical movement tasks parallel an assessment III. Random forest (RF) were trained sensor data scores. An overall accuracy 94% was achieved classifying tasks. When employed scores, averaged area under receiver operating characteristic values ranged from 68% 92%. Motor scores additionally predicted using RF regression model. In comparative analysis, support vector outperformed specific Furthermore, our results surpass literature certain cases. The methods developed this serve as base future studies, where home-based assessments pharmacological effects function complement regular assessments.

Language: Английский

Citations

2
DBS-induced gamma entrainment as a new biomarker for motor improvement with neuromodulation DOI Creative Commons
Varvara Mathiopoulou, Jeroen Habets, Lucia K. Feldmann

et al.

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

Published: April 26, 2024

Abstract Finely tuned gamma oscillations have been recorded from the subthalamic nucleus and cortex in Parkinson’s disease patients undergoing deep brain stimulation are often associated with dyskinesia. More recently, it was shown that entrains finely to ½ of frequency; however, functional role this signal is not yet fully understood. We local field potentials 19 chronically implanted under effective dopaminergic medication during increasing amplitude, while they were at rest repetitive hand movements. analyzed effect intensity on band 1:2 entrainment compared entrained movement. Spontaneous present eight out (peak frequency μ = 78.4 ±4.3 Hz). High-frequency induced 15 patients. Entrainment occurred a mean amplitude 2.2 0.75 mA disappeared or decreased power higher three In spontaneous gamma, progressive shift until locked entrainment. Only five activity showed dyskinesia stimulation. Further, there significant increase movement comparison rest. Finally, had faster movements as those without These findings argue for relevance stimulation-induced prokinetic that, necessarily promoting Previously published electrophysiological models fit well our results support can be promising real-life biomarker closed-loop

Language: Английский

Citations

2
Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson’s Disease DOI Creative Commons
Akash Mishra,

Vikram S. Bajaj,

Toni Fitzpatrick

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4296 - 4296

Published: July 2, 2024

The current approach to assessing bradykinesia in Parkinson's Disease relies on the Unified Rating Scale (UPDRS), which is a numeric scale. Inertial sensors offer ability probe subcomponents of bradykinesia: motor speed, amplitude, and rhythm. Thus, we sought investigate differential effects high-frequency compared low-frequency subthalamic nucleus (STN) deep brain stimulation (DBS) these quantified facets bradykinesia.

Language: Английский

Citations

1