Evidence map›Paper›PMID 33159098›Full record

Trial reportScientific reports2020

Mapping of subthalamic nucleus using microelectrode recordings during deep brain stimulation.

Nabin Koirala, Lucas Serrano, Steffen Paschen, Daniela Falk, Abdul Rauf Anwar, Pradeep Kuravi, Günther Deuschl, Sergiu Groppa, Muthuraman Muthuraman

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Advances in Deep Brain Stimulation: From Mechanisms to Applications.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
  5. Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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.

Nabin KoiralaMovement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Johannes Gutenberg University, Mainz, Germany.
Lucas SerranoDepartment of Neurosurgery, Johannes-Gutenberg-University, Mainz, Germany.
Steffen PaschenDepartment of Neurology, Christian Albrechts University, Kiel, Germany.
Daniela FalkDepartment of Neurosurgery, Christian Albrechts University, Kiel, Germany.
Abdul Rauf AnwarDepartment of Neurology, Christian Albrechts University, Kiel, Germany.
Pradeep KuraviDepartment of Neurology, Christian Albrechts University, Kiel, Germany.
Günther DeuschlDepartment of Neurology, Christian Albrechts University, Kiel, Germany.
Sergiu GroppaMovement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Johannes Gutenberg University, Mainz, Germany.
Muthuraman MuthuramanMovement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Johannes Gutenberg University, Mainz, Germany. mmuthura@uni-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alongside stereotactic magnetic resonance imaging, microelectrode recording (MER) is frequently used during the deep brain stimulation (DBS) surgery for optimal target localization. The aim of this study is to optimize subthalamic nucleus (STN) mapping using MER analytical patterns. 16 patients underwent bilateral STN-DBS. MER was performed simultaneously for 5 microelectrodes in a setting of Ben's-gun pattern in awake patients. Using spikes and background activity several different parameters and their spectral estimates in various frequency bands including low frequency (2-7 Hz), Alpha (8-12 Hz), Beta (sub-divided as Low_Beta (13-20 Hz) and High_Beta (21-30 Hz)) and Gamma (31 to 49 Hz) were computed. The optimal STN lead placement with the most optimal clinical effect/side-effect ratio accorded to the maximum spike rate in 85% of the implantation. Mean amplitude of background activity in the low beta frequency range was corresponding to right depth in 85% and right location in 94% of the implantation respectively. MER can be used for STN mapping and intraoperative decisions for the implantation of DBS electrode leads with a high accuracy. Spiking and background activity in the beta range are the most promising independent parameters for the delimitation of the proper anatomical site.

Indexed as

Brain WavesDeep Brain StimulationAgedBrain MappingFemaleHumansMaleMiddle AgedParkinson DiseaseSubthalamic Nucleus

Identifiers

PMID33159098
PMCPMC7648837

What OpenQuestion holds

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Registered trials

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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.