Evidence map›Paper›PMID 32565222›Full record

ArticleJournal of neuroscience methods2020

A novel method for calculating beta band burst durations in Parkinson's disease using a physiological baseline.

R W Anderson, Y M Kehnemouyi, R S Neuville, K B Wilkins, C M Anidi, M N Petrucci, J E Parker, A Velisar, H M Brontë-Stewart

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuroscience methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Low-Frequency Adaptive Deep Brain Stimulation for Parkinson's Disease.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Closing the loop in DBS: A data-driven approach.Parkinsonism & related disorders · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Wavelet-Based Bracketing, Time-Frequency Beta Burst Detection: New Insights in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A Closed-loop Deep Brain Stimulation Approach for Mitigating Burst Durations in People with Parkinson's Disease.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
    Article
  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

9 authors.

R W AndersonStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA.
Y M KehnemouyiStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA.
R S NeuvilleStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA; The University of California School of Medicine, Irvine, CA, USA.
K B WilkinsStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA.
C M AnidiStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA; The University of Michigan School of Medicine, Ann Arbor, MI, USA.
M N PetrucciStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA.
J E ParkerStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA.
A VelisarStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA; The Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA.
H M Brontë-StewartStanford University School of Medicine, Department of Neurology and Neurological Sciences, Stanford, CA, USA; Stanford University School of Medicine, Department of Neurosurgery, Stanford, CA, USA. Electronic address: hbs@stanford.edu.

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
Neurodegeneration and Brain Function in Aging with HIV and Parkinson's DiseaseR01AA023165 · NIAAA · SRI INTERNATIONAL · PI SCHULTE, TILMAN · 2014 to 2017
$3.0M
Neural and Kinematic Features of Freezing of Gait for Adaptive NeurostimulationR21NS096398 · NINDS · STANFORD UNIVERSITY · PI BRONTE-STEWART, HELEN · 2016 to 2017
$432k
NIAAA NIH HHS R01 AA023165NINDS NIH HHS R21 NS096398NINDS NIH HHS UH3 NS107709
6 · The paper itself

Abstract

backgroundPathologically prolonged bursts of neural activity in the 8-30 Hz frequency range in Parkinson's disease have been measured using high power event detector thresholds. NEW

methodThis study introduces a novel method for determining beta bursts using a power baseline based on spectral activity that overlapped a simulated 1/f spectrum. We used resting state local field potentials from people with Parkinson's disease and a simulated 1/f signal to measure beta burst durations, to demonstrate how tuning parameters (i.e., bandwidth and center frequency) affect burst durations, to compare burst duration distributions with high power threshold methods, and to study the effect of increasing neurostimulation intensities on burst duration.

resultsThe baseline method captured a broad distribution of resting state beta band burst durations. Mean beta band burst durations were significantly shorter on compared to off neurostimulation (p = 0.0046), and their distribution shifted towards that of the 1/f spectrum during increasing intensities of stimulation. COMPARISON WITH EXISTING

methodsHigh power event detection methods, measure duration of higher power bursts and omit portions of the neural signal. The baseline method captured the broadest distribution of burst durations and was more sensitive than high power detection methods in demonstrating the effect of neurostimulation on beta burst duration.

conclusionsThe baseline method captured a broad range of fluctuations in beta band neural activity and demonstrated that subthalamic neurostimulation shortened burst durations in a dose (intensity) dependent manner, suggesting that beta burst duration is a useful control variable for closed loop algorithms.

Indexed as

Deep Brain StimulationParkinson DiseaseSubthalamic NucleusBeta RhythmHumansMembrane PotentialsBeta fluctuationsBurst durationsDeep brain stimulationLocal field potentialsParkinson’s diseaseThresholding

Identifiers

PMID32565222
PMCPMC7437353

What OpenQuestion holds

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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.