Evidence map›Paper›PMID 32682236›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2020

Waveform changes with the evolution of beta bursts in the human subthalamic nucleus.

Chien-Hung Yeh, Bassam Al-Fatly, Andrea A Kühn, Anders C Meidahl, Gerd Tinkhauser, Huiling Tan, Peter Brown

Open access · greenAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. Quantifying Sharpness and Nonlinearity in Neonatal Seizure Dynamics.Cyborg and bionic systems (Washington, D.C.) · 2024
    Article
  5. Clinical neurophysiological interrogation of motor slowing: A critical step towards tuning adaptive deep brain stimulation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  6. Article
  7. Cross-Frequency Coupling and Intelligent Neuromodulation.Cyborg and bionic systems (Washington, D.C.) · 2023
    Review
  8. Article
  9. Article
  10. 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 4 institutions in 4 countries.

Chien-Hung YehMRC Brain Network Dynamics Unit, University of Oxford, Oxford OX1 3TH, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United Kingdom; School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. Electronic address: nzdiw1120@gmail.com.
Bassam Al-FatlyDepartment of Neurology, Charitè-Universitätsmedizin Berlin, 10177 Berlin, Germany.
Andrea A KühnDepartment of Neurology, Charitè-Universitätsmedizin Berlin, 10177 Berlin, Germany.
Anders C MeidahlMRC Brain Network Dynamics Unit, University of Oxford, Oxford OX1 3TH, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United Kingdom.
Gerd TinkhauserMRC Brain Network Dynamics Unit, University of Oxford, Oxford OX1 3TH, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United Kingdom; Department of Neurology, Bern University Hospital and University of Bern, 3010 Bern, Switzerland.
Huiling TanMRC Brain Network Dynamics Unit, University of Oxford, Oxford OX1 3TH, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United Kingdom.
Peter BrownMRC Brain Network Dynamics Unit, University of Oxford, Oxford OX1 3TH, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United Kingdom.
Charité - Universitätsmedizin Berlin · DEMRC Brain Network Dynamics Unit · GBUniversity of Oxford · GBUniversity of Bern · CH

Funding

Medical Research Council MC_UU_00003/2Medical Research Council MC_UU_12024/1Medical Research Council MR/P012272/1
6 · The paper itself

Abstract

objectivePhasic bursts of beta band synchronisation have been linked to motor impairment in Parkinson's disease (PD). However, little is known about what terminates bursts.

methodsWe used the Hilbert-Huang transform to investigate beta bursts in the local field potential recorded from the subthalamic nucleus in nine patients with PD on and off levodopa.

resultsThe sharpness of the beta waveform extrema fell as burst amplitude dropped. Conversely, an index of phase slips between waveform extrema, and the power of concurrent theta activity increased as burst amplitude fell. Theta activity was also increased on levodopa when beta bursts were attenuated. These phenomena were associated with reduction in coupling between beta phase and high gamma activity amplitude. We discuss how these findings may suggest that beta burst termination is associated with relative desynchronization of the beta drive, increase in competing theta activity and increased phase slips in the beta activity.

conclusionsWe characterise the dynamical nature of beta bursts, thereby permitting inferences about underlying activities and, in particular, about why bursts terminate. SIGNIFICANCE: Understanding the dynamical nature of beta bursts may help point to interventions that can cause their termination and potentially treat motor impairment in PD.

Indexed as

Deep Brain StimulationAgedAntiparkinson AgentsBeta RhythmFemaleHumansLevodopaMaleMiddle AgedParkinson DiseaseSubthalamic NucleusAntiparkinson AgentsLevodopaBasal gangliaBeta burstsLocal field potentialsMotor networkSubthalamic nucleus

Identifiers

PMID32682236
PMCPMC7115847
OpenAlexW3038349332

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.