Concurrent decoding of distinct neurophysiological fingerprints of tremor and bradykinesia in Parkinson’s disease

Authors:
Open Access
Publisher website
Google Scholar
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.
All Related Versions
Funding Information
  • National Institute of Neurological Disorders and Stroke (T32MH020068)
  • Doris Duke Charitable Foundation (Clinical Scientist Development Award#2014101)
  • National Institute of General Medical Sciences (P20 GM103645)
  • Neurosurgery Research and Education Foundation
  • Lifespan Norman Prince Neurosciences Institute
  • Brown University Robert J. and Nancy D. Carney Institute for Brain Science
  • NIH Office of the Director (S10OD025181)
  • Medtronic

This publication has 82 references indexed in Scilit: