Evidence map›Paper›PMID 40533464›Full record

ArticleNPJ Parkinson's disease2025

Modeling and optimizing deep brain stimulation to enhance gait in Parkinson's disease: personalized treatment with neurophysiological insights.

Hamid Fekri Azgomi, Kenneth H Louie, Jessica E Bath, Kara N Presbrey, Jannine P Balakid, Jacob H Marks, Thomas A Wozny, Nicholas B Galifianakis, Marta San Luciano, Simon Little and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Adaptive Deep Brain Stimulation for Parkinson's Disease: Navigating the Roadblocks to Clinical Implementation.Movement disorders : official journal of the Movement Disorder Society · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Hamid Fekri AzgomiDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Kenneth H LouieDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Jessica E BathDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Kara N PresbreyDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Jannine P BalakidDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Jacob H MarksDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Thomas A WoznyDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Nicholas B GalifianakisDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Marta San LucianoDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Simon LittleDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Philip A StarrDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Doris D WangDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA. Doris.Wang@ucsf.edu.

Funding

Cortical basal ganglia network dynamics during human gait controlR01NS130183 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Doris Du Wang · 2023 to 2026
$1.4M
Michael J. Fox Foundation for Parkinson's Research 010435National Institutes of Health,United States R01NS130183NINDS NIH HHS R01 NS130183
6 · The paper itself

Abstract

The effects of deep brain stimulation (DBS) on gait in Parkinson's disease (PD) are variable due to challenges in gait assessment and limited understanding of stimulation parameters' impacts on neural activity. We developed a data-driven approach to identify optimal DBS parameters to improve gait and uncover neurophysiological signatures of gait enhancement. Field potentials from the globus pallidus (GP) and motor cortex were recorded in three patients with PD (PwP) using implanted bidirectional neural stimulators during overground walking. We developed a Walking Performance Index (WPI) to assess gait metrics. DBS parameters were systematically varied to study their impacts on gait and neural dynamics. We were able to predict and identify personalized DBS settings that improved the WPI using a Gaussian Process Regressor. Improved walking correlated with reduced pallidal beta power during key gait phases. These findings, along with identified person-specific neural spectral biomarkers, underscore the importance of personalized, data-driven interventions for gait enhancement in PwP. ClinicalTrials.gov registration: NCT-03582891.

Identifiers

PMID40533464
PMCPMC12177069

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.