Concurrent decoding of distinct neurophysiological fingerprints of tremor and bradykinesia in Parkinson's disease
Abstract
Parkinson's Disease (PD) is characterized by distinct motor phenomena that are expressed asynchronously. Understanding the neurophysiological correlates of these motor states could facilitate monitoring of disease progression and allow improved assessments of therapeutic efficacy, as well as enable optimal closed-loop neuromodulation. We examined neural activity in the basal ganglia and cortex of 31 subjects with PD during a quantitative motor task to decode tremor and bradykinesia - two cardinal motor signs of PD - and relatively asymptomatic periods of behavior. Support-vector regression analysis of microelectrode and electrocorticography recordings revealed that tremor and bradykinesia had nearly opposite neural signatures, while effective motor control displayed unique, differentiating features. The neurophysiological signatures of these motor states depended on the signal type and location. Cortical decoding generally outperformed subcortical decoding. Within the subthalamic nucleus (STN), tremor and bradykinesia were better decoded from distinct subregions. These results demonstrate how to leverage neurophysiology to more precisely treat PD.
Data availability
The raw datasets supporting the current study contain patient information and are unique datasets under continued investigation for additional projects, including those of junior trainees.Deidentified neural/behavioral estimates and related code to reproduce all analyses in the manuscript will be made available in a public repository (Dryad; https://doi.org/10.5061/dryad.h9w0vt4n4).To request raw datasets, please contact the corresponding authors (me@peterlauro.me, wael_asaad@brown.edu) with a project proposal. Based upon the granularity of the data requested and potential for patient information exposure, data sharing would granted in consultation with the Lifespan IRB. There are no commercial restrictions for these data currently.
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Data from: Concurrent decoding of distinct neurophysiological fingerprints of tremor and bradykinesia in Parkinson's diseaseDryad Digital Repository, doi:10.5061/dryad.h9w0vt4n4.
Article and author information
Author details
Funding
National Institute of Neurological Disorders and Stroke (T32MH020068)
- Peter M Lauro
Doris Duke Charitable Foundation (Clinical Scientist Development Award#2014101)
- Wael F Asaad
National Institute of General Medical Sciences (P20 GM103645)
- Wael F Asaad
Neurosurgery Research and Education Foundation
- Wael F Asaad
Lifespan Norman Prince Neurosciences Institute
- Shane Lee
- Umer Akbar
- Wael F Asaad
Brown University Robert J. and Nancy D. Carney Institute for Brain Science
- Peter M Lauro
- Shane Lee
- Daniel E Amaya
- Umer Akbar
- Wael F Asaad
NIH Office of the Director (S10OD025181)
- Wael F Asaad
Medtronic
- Wael F Asaad
WFA has received proprietary equipment and technical support for unrelated research through the Medtronic external research program.The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Hayriye Cagnan, University of Oxford, United Kingdom
Ethics
Human subjects: Patients and control subjects agreeing to participate in this study signed informed consent, and experimental procedures were undertaken in accordance with an approved Rhode Island Hospital human research protocol (Lifespan IRB protocol #263157) and the Declaration of Helsinki.
Version history
- Preprint posted: February 14, 2022 (view preprint)
- Received: October 12, 2022
- Accepted: May 26, 2023
- Accepted Manuscript published: May 30, 2023 (version 1)
- Version of Record published: June 13, 2023 (version 2)
Copyright
© 2023, Lauro et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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