Evidence map›Paper›PMID 41480041›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Low-Frequency Adaptive Deep Brain Stimulation for Parkinson's Disease.

A S Negi, C Cui, K B Wilkins, E F Lambert, J A Melbourne, M N Petrucci, S L Hoffman, S Aditham, C Diep, H J Dorris and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

A S NegiDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4216-8317
C CuiDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0437-323X
K B WilkinsDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5907-4029
E F LambertDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
J A MelbourneDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
M N PetrucciDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
S L HoffmanDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
S AdithamDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
C DiepDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
H J DorrisDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
P AkellaDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
L ParisiDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
A S GalaDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
J A HerronDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
H M Bronte-StewartDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0002-1839-4541

Funding

Bilateral Closed Loop Deep Brain Stimulation for Freezing of Gait using Neural and Kinematic FeedbackUH3NS107709 · NINDS · STANFORD UNIVERSITY · PI BRONTE-STEWART, HELEN · 2019 to 2023
$6.1M
Accelerating Dissemination of Implantable Neurotechnology for Clinical ResearchU24NS113637 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BORTON, DAVID ALLENSON, DENISON, TIMOTHY · 2020 to 2024
$4.4M
Neurostimulation of the Nucleus Basalis of Meynert for the Cognitive-Motor Syndrome in Parkinson's DiseaseUH3NS128150 · NINDS · STANFORD UNIVERSITY · PI Helen Bronte-Stewart · 2024 to 2026
$3.6M
NINDS NIH HHS U24 NS113637NINDS NIH HHS UH3 NS107709NINDS NIH HHS UH3 NS128150
6 · The paper itself

Abstract

Background: Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) that often worsens with disease progression. Adaptive deep brain stimulation (aDBS) may better target symptom fluctuations and gait impairment, yet most studies have focused on high-frequency stimulation. Low-frequency stimulation may offer additional gait benefits in moderate-to-advanced PD. Objective: To evaluate the efficacy of 60 Hz continuous DBS (cDBS) and the safety, tolerability and feasibility of 60 Hz aDBS. Methods: Eight individuals with PD were implanted with bilateral leads in the subthalamic nucleus and the investigational Summit RC+S system (Medtronic, Inc.). 60 Hz aDBS was calibrated to adjust stimulation amplitude based on prolonged beta bursts. Participants completed blinded, randomized testing during a validated FOG-eliciting stepping-in-place task under OFF DBS, 60 Hz cDBS, and 60 Hz aDBS. Cardinal motor signs were assessed using MDS-UPDRS III in each condition, and under clinical 140 Hz cDBS. Results: 60 Hz cDBS was tolerated acutely by 6 of 8 participants and showed significant shortening of beta burst duration, a pathological neural biomarker of FOG. 60 Hz aDBS was deemed safe and tolerable in this cohort. In participants who demonstrated FOG at baseline, gait improved ON both 60 Hz aDBS and cDBS. However, overall motor symptoms, including tremor, improved only with clinical 140 Hz cDBS. Conclusion: 60 Hz aDBS and cDBS benefit individuals with baseline FOG but may not achieve broad motor symptom relief of clinically optimized HFS. Identifying individuals most likely to benefit from LFS could enable more personalized DBS programming.

Indexed as

beta burstclosed-loop DBSfreezing of gaitgait impairmentsubthalamic nucleus

Identifiers

PMID41480041
PMCPMC12755257

What OpenQuestion holds

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LicenceCC BY-ND
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Registered trials

None linked

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.