Evidence map›Paper›PMID 34447294›Full record

ArticleFrontiers in neuroscience2021

Chronic Sensing of Subthalamic Local Field Potentials: Comparison of First and Second Generation Implantable Bidirectional Systems Within a Single Subject.

Daniel D Cummins, Ryan B Kochanski, Roee Gilron, Nicole C Swann, Simon Little, Lauren H Hammer, Philip A Starr

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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

30 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. 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
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Local Field Potentials in Movement Disorders: A Narrative Review.Stereotactic and functional neurosurgery · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Seizure Detection and Lateralization Using Thalamic Deep Brain Stimulator Recordings.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2025
    Article
  16. Review
  17. Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
  18. Advances in Deep Brain Stimulation: From Mechanisms to Applications.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
  19. Review
  20. Article
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 at 2 institutions in 1 country.

Daniel D CumminsSchool of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Ryan B KochanskiDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
Roee GilronDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
Nicole C SwannDepartment of Human Physiology, University of Oregon, Eugene, OR, United States.
Simon LittleDepartment of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Lauren H HammerDepartment of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Philip A StarrDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USUniversity of Oregon · US

Funding

Closed Loop Deep Brain Stimulation for Parkinson's DiseaseUH3NS100544 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STARR, PHILIP ANDREW · 2016 to 2022
$4.1M
NINDS NIH HHS UH3 NS100544
6 · The paper itself

Abstract

backgroundMany adaptative deep brain stimulation (DBS) paradigms rely upon the ability to sense neural signatures of specific clinical signs or symptoms in order to modulate therapeutic stimulation. In first-generation bidirectional neurostimulators, the ability to sense neural signals during active stimulation was often limited by artifact. Newer devices, with improved design specifications for sensing, have recently been developed and are now clinically available.

objectiveTo compare the sensing capabilities of the first-generation Medtronic PC + S and second-generation Percept PC neurostimulators within a single patient.

methodsA 42-year-old man with Parkinson's disease was initially implanted with left STN DBS leads connected to a PC + S implantable pulse generator. Four years later, the PC + S was replaced with the Percept PC. Local field potential (LFP) signals were recorded, both with stimulation OFF and ON, at multiple timepoints with each device and compared. Offline processing of time series data included artifact removal using digital filtering and template subtraction, before subsequent spectral analysis. With Percept PC, embedded processing of spectral power within a narrow frequency band was also utilized.

resultsIn the absence of stimulation, both devices demonstrated a peak in the beta range (approximately 20 Hz), which was stable throughout the 4-year period. Similar to previous reports, recordings with the PC + S during active stimulation demonstrated significant stimulation artifact, limiting the ability to recover meaningful LFP signal. In contrast, the Percept PC, using the same electrodes and stimulation settings, produced time series data during stimulation with spectral analysis revealing a peak in the beta-band. Online analysis by the Percept demonstrated a reduction in beta-band activity with increasing stimulation amplitude.

conclusionThis report highlights recent advances in implantable neurostimulator technology for DBS, demonstrating improvements in sensing capabilities during active stimulation between first- and second-generation devices. The ability to reliably sense during stimulation is an important step toward both the clinical implementation of adaptive algorithms and the further investigation into the neurophysiology underlying movement disorders.

Indexed as

beta oscillationsbidirectional neural interfacedeep brain stimulationlocal field potentialsubthalamic nucleus

Identifiers

PMID34447294
PMCPMC8382799
OpenAlexW3189371140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.