The University of Minnesota (UMN) Udall Center will focus on understanding the electrophysiological features that underlie the motor signs of Parkinson's disease (PD) and developing new deep brain stimulation (DBS) strategies to treat them. This will be accomplished in humans through a combination of intra-operative microelectrode and post-operative local field potential (LFP) recordings using the Medtronic RC+S ?Brain Radio?, and DBS therapy implemented through the lens of novel targets and stimulation paradigms. These data will be complemented in nonhuman primates, by the development and electrophysiological characterization of optimization tools for improving subject-specific precision of DBS therapy. Specifically, the first goal (Project 1) is to enhance our understanding of the pathophysiological basis of PD motor signs by clarifying the changes in synchronized oscillatory activity that occur within the pallidum and STN at rest and during movement under conditions that improve and worsen motor signs (during DBS or following administration of levo-dopa). These data will provide the rationale for the development of novel DBS paradigms and targets. The second goal (Project 2) is to identify the physiological signatures associated with dopa-responsive and resistant motor features of PD, use MRI-derived computational models to examine the pathways mediating the behavioral changes and investigate alternative DBS targets and stimulation paradigms to treat these motor signs. The third goal (Project 3) is to leverage the well-established MPTP nonhuman primate model of PD to identify unconventional DBS settings that increase the window between successful therapy and emergence of side effects, develop closed-loop strategies for tuning DBS settings to maximize the therapeutic effect on individual parkinsonian motor signs, and investigate how the level of therapy depends on electrophysiological changes in the basal ganglia, thalamus, and brainstem. Critical to all three projects is the ability to accurately determine DBS lead and contact locations, and develop model based predictions of which motor pathways are activated during stimulation (Imaging Core). Clinical and quantitative motor assessments will be obtained (Clinical Core) and correlated to physiological data obtained acutely in the operating room, subacutely in patients whose leads are externalized and chronically through postoperative assessments using the Medtronic RC+S ?Brain Radio?. The Biostatistics Core will provide study design, logistics planning, overall data management, quality control and statistical analysis, as well as data integration with and transfer to the NIH/NINDS Data Management Resource. The Administrative Core will support all aspects of the UMN Udall Center, implement and support patient education and public outreach efforts and provide training for the next generation of PD researchers. Together, these approaches will provide critical data towards the development and translation of novel patient-specific DBS therapies.

Public Health Relevance

The overall goal of the UMN Udall Center is to define the changes in brain circuitry that underlie the motor dysfunction in Parkinson's disease and use this information to develop novel deep brain stimulation therapeutic approaches. The UMN Udall Center will integrate neuroimaging, neurophysiology, and deep brain stimulation techniques to improve the lives of patients suffering from Parkinson's disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Specialized Center (P50)
Project #
5P50NS098573-02
Application #
9355247
Study Section
Special Emphasis Panel (ZNS1)
Program Officer
Sieber, Beth-Anne
Project Start
2016-09-25
Project End
2021-05-31
Budget Start
2017-06-01
Budget End
2018-05-31
Support Year
2
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Neurology
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
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Peña, Edgar; Zhang, Simeng; Patriat, Remi et al. (2018) Multi-objective particle swarm optimization for postoperative deep brain stimulation targeting of subthalamic nucleus pathways. J Neural Eng 15:066020
Zhang, Simeng; Connolly, Allison T; Madden, Lauren R et al. (2018) High-resolution local field potentials measured with deep brain stimulation arrays. J Neural Eng 15:046019
Plantinga, Birgit R; Temel, Yasin; Duchin, Yuval et al. (2018) Individualized parcellation of the subthalamic nucleus in patients with Parkinson's disease with 7T MRI. Neuroimage 168:403-411
Slopsema, Julia P; Peña, Edgar; Patriat, Remi et al. (2018) Clinical deep brain stimulation strategies for orientation-selective pathway activation. J Neural Eng 15:056029
Amundsen Huffmaster, Sommer L; Van Acker 3rd, Gustaf M; Luchies, Carl W et al. (2018) Muscle Synergies Obtained from Comprehensive Mapping of the Cortical Forelimb Representation Using Stimulus Triggered Averaging of EMG Activity. J Neurosci 38:8759-8771
Duchin, Yuval; Shamir, Reuben R; Patriat, Remi et al. (2018) Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI. PLoS One 13:e0201469
Milham, Michael P; Ai, Lei; Koo, Bonhwang et al. (2018) An Open Resource for Non-human Primate Imaging. Neuron 100:61-74.e2
Tuite, Paul (2017) Brain Magnetic Resonance Imaging (MRI) as a Potential Biomarker for Parkinson's Disease (PD). Brain Sci 7:
Muralidharan, Abirami; Zhang, Jianyu; Ghosh, Debabrata et al. (2017) Modulation of Neuronal Activity in the Motor Thalamus during GPi-DBS in the MPTP Nonhuman Primate Model of Parkinson's Disease. Brain Stimul 10:126-138

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