Neural pathways associated with reduced rigidity during pallidal deep brain stimulation for Parkinson's disease

Emily Lecy, Maria E. Linn-Evans, Sommer L. Amundsen-Huffmaster, Tara Palnitkar, Remi Patriat, Jae Woo Chung, Angela M. Noecker, Michael C. Park, Cameron C. McIntyre, Jerrold L. Vitek, Scott E. Cooper, Noam Harel, Matthew D. Johnson, Colum D. MacKinnon

Research output: Contribution to journalArticlepeer-review

Abstract

Deep brain stimulation (DBS) of the internal segment of the globus pallidus (GPi) can markedly reduce muscle rigidity in people with Parkinson’s disease (PD); however, the mechanisms mediating this effect are poorly understood. Computational modeling of DBS provides a method to estimate the relative contributions of neural pathway activations to changes in outcomes. In this study, we generated subject-specific biophysical models of GPi DBS (derived from individual 7-T MRI), including pallidal efferent, putamenal efferent, and internal capsule pathways, to investigate how activation of neural pathways contributed to changes in forearm rigidity in PD. Ten individuals (17 arms) were tested off medication under four conditions: off stimulation, on clinically optimized stimulation, and on stimulation specifically targeting the dorsal GPi or ventral GPi. Quantitative measures of forearm rigidity, with and without a contralateral activation maneuver, were obtained with a robotic manipulandum. Clinically optimized GPi DBS settings significantly reduced forearm rigidity (P < 0.001), which aligned with GPi efferent fiber activation. The model demonstrated that GPi efferent axons could be activated at any location along the GPi dorsal-ventral axis. These results provide evidence that rigidity reduction produced by GPi DBS is mediated by preferential activation of GPi efferents to the thalamus, likely leading to a reduction in excitability of the muscle stretch reflex via overdriving pallidofugal output.

Original languageEnglish
Pages (from-to)953-967
Number of pages15
JournalJournal of Neurophysiology
Volume132
Issue number3
DOIs
Publication statusPublished - 2024 Sept

Bibliographical note

Publisher Copyright:
Copyright © 2024 The Authors.

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • Physiology

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