Evidence map›Paper›PMID 37379823›Full record

ArticleStereotactic and functional neurosurgery2023

Quantifying the Variability Associated with Postoperative Localization of Deep Brain Stimulation Electrodes.

Kelsey L Bower, Angela M Noecker, Martin M Reich, Cameron C McIntyre

Abstract read
In one paragraph

Article in Stereotactic and functional neurosurgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Localizing beta synchronous neurons in the STN using directional DBS recordings and patient-specific biophysical models.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  2. Chemoarchitectural studies of the rat hypothalamus and zona incerta.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
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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

4 authors.

Kelsey L BowerDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Angela M NoeckerDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Martin M ReichDepartment of Neurology, University of Würzburg, Würzburg, Germany.
Cameron C McIntyreDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

Funding

Application of Advanced Imaging and Visualization to Clinical Deep Brain StimulationR37NS116079 · NINDS · DUKE UNIVERSITY · PI MCINTYRE, CAMERON · 2021 to 2025
$1.8M
Computational Models of Deep Brain Stimulation of the Cerebellothalamic and Subthalamopallidal PathwaysF31NS098696 · NINDS · CASE WESTERN RESERVE UNIVERSITY · PI BOWER, KELSEY · 2016 to 2020
$223k
NINDS NIH HHS F31 NS098696NINDS NIH HHS R37 NS116079
6 · The paper itself

Abstract

introductionComputational models of deep brain stimulation (DBS) have become common tools in clinical research studies that attempt to establish correlations between stimulation locations in the brain and behavioral outcome measures. However, the accuracy of any patient-specific DBS model depends heavily upon accurate localization of the DBS electrodes within the anatomy, which is typically defined via co-registration of clinical CT and MRI datasets. Several different approaches exist for this challenging registration problem, and each approach will result in a slightly different electrode localization. The goal of this study was to better understand how different processing steps (e.g., cost-function masking, brain extraction, intensity remapping) affect the estimate of the DBS electrode location in the brain.

methodsNo "gold standard" exists for this kind of analysis, as the exact location of the electrode in the living human brain cannot be determined with existing clinical imaging approaches. However, we can estimate the uncertainty associated with the electrode position, which can be used to guide statistical analyses in DBS mapping studies. Therefore, we used high-quality clinical datasets from 10 subthalamic DBS subjects and co-registered their long-term postoperative CT with their preoperative surgical targeting MRI using 9 different approaches. The distances separating all of the electrode location estimates were calculated for each subject.

resultsOn average, electrodes were located within a median distance of 0.57 mm (0.49-0.74) of one another across the different registration approaches. However, when considering electrode location estimates from short-term postoperative CTs, the median distance increased to 2.01 mm (1.55-2.78).

conclusionsThe results of this study suggest that electrode location uncertainty needs to be factored into statistical analyses that attempt to define correlations between stimulation locations and clinical outcomes.

Indexed as

Deep Brain StimulationParkinson DiseaseSubthalamic NucleusElectrodes, ImplantedHumansMagnetic Resonance ImagingStereotaxic TechniquesCTMRIRegistrationSubthalamic nucleus

Identifiers

PMID37379823
PMCPMC10833063

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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.