Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson's Disease.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 10 05 2024
revised: 30 05 2024
accepted: 01 07 2024
medline: 13 7 2024
pubmed: 13 7 2024
entrez: 13 7 2024
Statut: epublish

Résumé

The current approach to assessing bradykinesia in Parkinson's Disease relies on the Unified Parkinson's Disease Rating Scale (UPDRS), which is a numeric scale. Inertial sensors offer the ability to probe subcomponents of bradykinesia: motor speed, amplitude, and rhythm. Thus, we sought to investigate the differential effects of high-frequency compared to low-frequency subthalamic nucleus (STN) deep brain stimulation (DBS) on these quantified facets of bradykinesia. We recruited advanced Parkinson's Disease subjects with a chronic bilateral subthalamic nucleus (STN) DBS implantation to a single-blind stimulation trial where each combination of medication state (OFF/ON), electrode contacts, and stimulation frequency (60 Hz/180 Hz) was assessed. The Kinesia One sensor system was used to measure upper limb bradykinesia. For each stimulation trial, subjects performed extremity motor tasks. Sensor data were recorded continuously. We identified STN DBS parameters that were associated with improved upper extremity bradykinesia symptoms using a mixed linear regression model. We recruited 22 subjects (6 females) for this study. The 180 Hz STN DBS (compared to the 60 Hz STN DBS) and dopaminergic medications improved all subcomponents of upper extremity bradykinesia (motor speed, amplitude, and rhythm). For the motor rhythm subcomponent of bradykinesia, ventral contacts yielded improved symptom improvement compared to dorsal contacts. The differential impact of high- and low-frequency STN DBS on the symptoms of bradykinesia may advise programming for these patients but warrants further investigation. Wearable sensors represent a valuable addition to the armamentarium that furthers our ability to conduct objective, quantitative clinical assessments.

Identifiants

pubmed: 39001075
pii: s24134296
doi: 10.3390/s24134296
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : 1R21NS111301-01A1
Pays : United States

Auteurs

Akash Mishra (A)

Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 300 Community Drive, Manhasset, NY 11030, USA.

Vikram Bajaj (V)

Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 300 Community Drive, Manhasset, NY 11030, USA.

Toni Fitzpatrick (T)

Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 300 Community Drive, Manhasset, NY 11030, USA.

Jeremy Watts (J)

Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN 37996, USA.

Anahita Khojandi (A)

Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN 37996, USA.

Ritesh A Ramdhani (RA)

Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 300 Community Drive, Manhasset, NY 11030, USA.

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