Dissecting the network physiology of pallidal burst stimulation
Active Project Grant Awarded Last action
- Award ID
- R01NS147497
- Recipient
-
The University Of Texas Southwestern Medical Center UEI YZJ6DKPM4W63
- Awarding agency
-
National Institute of Neurological Disorders and Stroke
National Institutes of Health, Department of Health and Human Services
- Obligated
- $597,934
Award facts
- Assistance listing
- 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders
- Completion date 13% complete
- Place of performance
- Dallas, TX 75390, USA
Award details come from USAspending.gov.
About this award
The National Institute of Neurological Disorders and Stroke awarded $597,934 to The University of Texas Southwestern Medical Center on March 22, 2026, under the Extramural Research Programs in the Neurosciences and Neurological Disorders program (CFDA 93.853) to dissect the network physiology of pallidal burst stimulation for Parkinson's disease deep brain stimulation (DBS) therapy.
The recipient will analyze basal-ganglia-thalamo-cortical motor circuits through intracranial recordings of single-neuron dynamics, evoked potentials, local field potentials, and electrocorticography to identify optimal burst-DBS frequency and validate the physiological mechanisms underlying burst-patterned DBS in the globus pallidus internus. The work addresses three specific aims: optimizing burst-DBS frequency and circuit mapping, validating plasticity effects and brain-behavior relationships, and identifying neural correlates of burst-DBS benefit and relapse. This mechanistic investigation aims to support translation of burst-DBS as an alternative to conventional fixed high-frequency stimulation, which faces adoption barriers due to limited clinical benefit, off-target side effects, and the burden of generator replacement surgery or battery charging.
Work is performed in Dallas, Texas, with a period of performance extending through December 31, 2030. University Health Network (Toronto General And Western Hospital Foundation), located in Toronto, Ontario, Canada, serves as a sub-recipient and will contribute to the three project aims under a sub-award dated June 1, 2026.
Description
- Abstract
- Despite being an established RCT-supported therapy, the adoption of deep brain stimulation (DBS) for parkinson's disease (PD) remains relatively low. While partly due to being a surgical therapy, adoption is further hindered by limited clinical benefit, off-target side-effects, and the burden of generator replacement surgery or battery charging. These limitations are at least in part attributable to the use of relatively simplistic fixed high- frequency stimulation. Recent optogenetic and computational modeling work has shown that finely tuned intermittent burst-patterned pallidal DBS can differentially modulate specific cell types and produce motor benefits that endure beyond stimulation cessation. Our team's pilot study in people with parkinson's disease (PWPD) comparing conventional and burst-DBS in globus pallidus internus (GPI) showed equal efficacy and tolerability, motivating further investigation. A mechanistic understanding of the physiological underpinning of therapeutic benefits of burst-DBS is critical to optimizing and ultimately facilitating translation of pallial burst DBS for PWPD, thereby addressing the limitations of fixed high-frequency DBS. While early results are encouraging, questions remain about the relevance and optimal location and burst-DBS frequency for long-lasting benefits in the human basal-ganglia-thalamo-cortical (BGTC) motor network. We will utilize our team's expertise in intracranial physiology and PD to analyze BGTC circuits through recordings of single-neuron and evoked potential dynamics, local field potentials (LFP), electrocorticography, and network physiology. We focus on the GPI because its main sources of input are the two basal ganglia structures implicated in preclinical work (striatum and globus pallidus externus), both of which are underactive in circuit theories of PD. We address our hypothesis through 3 aims. Aim 1: identify the optimal location and frequency for GPI burst-DBS through functional circuit mapping: we will define human-specific settings and location for producing the most potent antiparkinsonian modulations of BGTC neurophysiological PD readouts in response to intraoperative burst-DBS. Aim 2: validate LTP effects of the optimized burst-DBS paradigm and derive brain-behaviour relationships: we will critically assess spatiotemporal neural features to demonstrate that burst DBS produces beneficial forms of LTP in the BGTC circuit, and to provide proof-of-principle of sustained benefit on a short timescale in response to intraoperative burst-DBS. Aim 3: demonstrate subacute neural corelates of personalized burst-DBS benefit & relapse dynamics: we will leverage sensing-enabled DBS devices to evaluate acute (during burst-DBS) and enduring (beyond stimulation cessation) antiparkinsonian therapeutic effects and neurophysiology of personalized burst-DBS in the outpatient setting, in order to determine whether LFP and/or cortical recordings can be used as functional proxies to track enduring motor benefits and as biomarkers for closed-loop burst-DBS. Our work has the potential to improve therapy by providing a biological foundation for future large scale clinical trials assessing long-term outcomes of optimized GPI burst-DBS.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $110,076 | |
| Original award | $487,858 |
Subawards
| Subrecipient | Amount | Awarded |
|---|---|---|
| University Health Network | $110,076 |
Quick answers
Who received award R01NS147497?
R01NS147497 was awarded to The University Of Texas Southwestern Medical Center by National Institute of Neurological Disorders and Stroke (National Institutes of Health) on March 22, 2026.
How much is award R01NS147497 worth?
$597,934 has been obligated on R01NS147497.
On GovTribe
See this award's full record
- Every transaction and subaward
- The recipient's other awards and teaming partners
- Similar grant awards
- Ask GovTribe AI about this award