Essential tremor (ET) is the most common movement disorder in the United States, affecting 4% of all adults over the age of 40. For individuals whose motor symptoms are refractory to medication and significantly impair their daily living, deep brain stimulation (DBS) is considered to be the only therapeutic option. Despite recent advances in DBS technology, a significant portion of ET patients with DBS implants will receive inadequate tremor control because of poorly placed DBS leads, while others will lose efficacy of the therapy after 1-2 years due in part to inflexible neurostimulator programming options. There is a strong and growing clinical need for implantable DBS lead designs that can enable clinicians to better sculpt electric fields within the brain, especially in cases where stimulation through a poorly placed DBS lead results in low-threshold side-effects. Our recent studies with a radially-segmented DBS lead have shown promising results, but knowing how to program the stimulation settings on such a lead remains a critical challenge towards making these leads practical in a clinical setting. Our proposed study will integrate high-field magnetic resonance imaging, computational modeling, and electrophysiology to develop an experimentally-validated computational programming algorithm that facilitates clinical determination of subject-specific neurostimulator settings through high-dimensional DBS electrode arrays. Specifically, we will: 1) develop a computational algorithm that can simplify the programming process of thalamic deep brain stimulation leads with radially-segmented electrode arrays;2) quantify the degree to which the computational algorithms can accurately predict current steering through poorly targeted DBS arrays in the thalamus in non-human primates;and 3) compare the layer-specific neuronal dynamics induced in primary motor cortex (M1) during stimulation of the cerebellothalamic versus thalamocortical pathway in non-human primates.

Public Health Relevance

Deep brain stimulation (DBS) is a proven therapy for patients with medication-refractory essential tremor, but a significant portion of patients with these implants do not receive adequate tremor control because of poorly placed DBS leads or inflexible DBS programming options. There is a strong and growing clinical need for implantable DBS lead designs that can enable clinicians to better sculpt electric fields in the brain. Our research study will experimentally evaluate a computational modeling approach to program a novel DBS lead with radially-segmented electrodes for improved targeting of stimulation within thalamus so as to improve the functional outcome for all patients requiring DBS to manage their essential tremor.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS081118-02
Application #
8554926
Study Section
Special Emphasis Panel (NOIT)
Program Officer
Ludwig, Kip A
Project Start
2012-09-30
Project End
2016-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
2
Fiscal Year
2013
Total Cost
$300,887
Indirect Cost
$102,935
Name
University of Minnesota Twin Cities
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Zitella, Laura M; Mohsenian, Kevin; Pahwa, Mrinal et al. (2013) Computational modeling of pedunculopontine nucleus deep brain stimulation. J Neural Eng 10:045005
Johnson, Matthew D; Lim, Hubert H; Netoff, Theoden I et al. (2013) Neuromodulation for brain disorders: challenges and opportunities. IEEE Trans Biomed Eng 60:610-24
Agnesi, Filippo; Connolly, Allison T; Baker, Kenneth B et al. (2013) Deep brain stimulation imposes complex informational lesions. PLoS One 8:e74462