Evidence map›Paper›PMID 35574294›Full record

ArticleInternational IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering2021

Ramp Rate Evaluation and Configuration for Safe and Tolerable Closed-Loop Deep Brain Stimulation.

Matthew N Petrucci, Kevin B Wilkins, Gerrit C Orthlieb, Yasmine M Kehnemouyi, Johanna J O'Day, Jeffrey A Herron, Helen M Bronte-Stewart

Abstract read
In one paragraph

Article in International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Low-Frequency Adaptive Deep Brain Stimulation for Parkinson's Disease.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

7 authors.

Matthew N PetrucciDepartment of Neurology and Neurological Sciences at Stanford University, Stanford, CA, 94305 USA.
Kevin B WilkinsDepartment of Neurology and Neurological Sciences at Stanford University, Stanford, CA, 94305 USA.
Gerrit C OrthliebDepartment of Neurology and Neurological Sciences at Stanford University, Stanford, CA, 94305 USA.
Yasmine M KehnemouyiDepartment of Neurology and Neurological Sciences at Stanford University, Stanford, CA, 94305 USA.
Johanna J O'DayDepartment of Bioengineering at Stanford University, Stanford, CA, 94305 USA.
Jeffrey A HerronDepartment of Neurological Surgery at the University of Washington, Seattle, WA, 98104 USA.
Helen M Bronte-StewartDepartment of Neurology and Neurological Sciences at Stanford University, Stanford, CA, 94305 USA.

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
NINDS NIH HHS UH3 NS107709
6 · The paper itself

Abstract

Closed-loop deep brain stimulation is a novel form of therapy that has shown benefit in preliminary studies and may be clinically available in the near future. Initial closed-loop studies have primarily focused on responding to sensed biomarkers with adjustments to stimulation amplitude, which is often perceptible to study participants depending on the slew or "ramp" rate of the amplitude changes. These subjective responses to stimulation ramping can result in transient side effects, illustrating that ramp rate is a unique safety parameter for closed-loop neural systems. This presents a challenge to the future of closed-loop neuromodulation systems: depending on the goal of the control policy, clinicians will need to balance ramp rates to avoid side effects and keep the stimulation therapeutic by responding in time to affect neural dynamics. In this paper, we demonstrate the results of an initial investigation into methodology for finding safe and tolerable ramp rates in four people with Parkinson's disease (PD). Results suggest that optimal ramp rates were found more accurately during varying stimulation when compared to simply toggling between maximal and minimal intensity levels. Additionally, switching frequency instantaneously was tolerable at therapeutic levels of stimulation. Future work should focus on including optimization techniques to find ramp rates.

Identifiers

PMID35574294
PMCPMC9097241

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.