Oscillatory neural correlates of motor phenotypes in parkinson disease

Active Project Grant Awarded Last action

Award ID
R01NS124650
Recipient
Awarding agency
Obligated
$4,244,697

Award facts

Completion date 70% complete
Originally
Place of performance
Rochester, MN 55905, USA

Award details come from USAspending.gov.

Description

Abstract
PD is a complex neurodegenerative disease with a broad spectrum of motor and non-motor features. The cardinal motor features include resting tremor, rigidity, bradykinesia (or akinesia), and postural instability. Over the past decade, deep brain stimulation (DBS) has largely replaced ablative techniques in the surgical although clinical phenotypes of PD such as tremor dominant (TD) and postural instability and gait difficulty (pigd) subtypes have been identified since the mid-1990S, to our knowledge, no neurobiomarkers have been identified to describe them and assist with decision-making regarding the DBS therapeutic target. Treatment of PD. Very limited data exists regarding the electrophysiological abnormalities within the basal ganglia and associated structures which likely accompany the symptom severity or the phenotypic subtypes of PD. This proposal seeks to overcome these limitations by investigating the spatio-spectral dynamics of local field potentials (lfps) and single unit activity recorded from the subthalamic nucleus (STN) and globus pallidus internus (GPI) and relate them to symptom manifestations, in an attempt to define the differences in PD motor phenotypes. In our preliminary studies and to the best of our knowledge, we are the first to show initial evidence that high frequency oscillations of microelectrode lfps and their nonlinear interaction with the beta band in the form of phase amplitude coupling can distinguish PD motor phenotypes in the territories of STN. Based on our preliminary observations, this project will investigate these phenotypic LFP patterns in large patient populations in STN and GPI. Specifically, by employing machine learning techniques, neural signatures in STN and GPI will be discovered to differentiate motor phenotypes in PD. The project will investigate to what extent the extracted neural patterns can serve as objective neurobiomarkers to identify the territories of basal ganglia causing symptom differences. In addition, retrospectively, the project will also explore to what extent localization of these phenotypic LFP patterns with directional macro electrodes can describe the efficacy of chronic DBS. If successful, these advancements will provide unique opportunities to understand symptom manifestation and personalization of DBS in patients with PD.

Transactions

Action Obligated Date
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Original award $536,426
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Subawards

Subrecipient Amount Awarded
Baylor College Of Medicine Oscillatory Neural Correlates of Motor Phenotypes in Parkinson Disease $175,000
Regents Of The University Of Minnesota $81,087
Baylor College Of Medicine Statement of Work SENIOR/KEY PERSONNEL: Ashwin Viswanathan: Dr. Viswanathan will be responsible for overseeing all study activities at Baylor College of… $175,000
Regents Of The University Of Minnesota STATEMENT OF WORK Work to be done: 1. I will provide assistance in the recruitment and training of graduate students and post-docs in machine learning,… $79,873
Baylor College Of Medicine PD is a complex neurodegenerative disease with a broad spectrum of motor and non-motor features. The cardinal motor features include resting tremor, rigidity,… $145,250
Regents Of The University Of Minnesota $78,681

Quick answers

Who received award R01NS124650?

R01NS124650 was awarded to Mayo Clinic by National Institute of Neurological Disorders and Stroke (National Institutes of Health) on September 1, 2022.

How much is award R01NS124650 worth?

$4,244,697 has been obligated on R01NS124650.

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