Evidence map›Paper›PMID 38011104›Full record

ArticlePloS one2023

Role of the volume conductor on simulations of local field potential recordings from deep brain stimulation electrodes.

M Sohail Noor, Bryan Howell, Cameron C McIntyre

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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. 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

3 authors.

M Sohail NoorDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America.ORCID 0000-0003-4139-888X
Bryan HowellDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America.
Cameron C McIntyreDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America.ORCID 0000-0003-0932-854X

Funding

Biophysical Characterization of Subthalamic Local Field Potentials in Parkinson's DiseaseR01NS119520 · NINDS · DUKE UNIVERSITY · PI MCINTYRE, CAMERON · 2021 to 2024
$1.9M
NINDS NIH HHS R01 NS119520
6 · The paper itself

Abstract

objectiveLocal field potential (LFP) recordings from deep brain stimulation (DBS) electrodes are commonly used in research analyses, and are beginning to be used in clinical practice. Computational models of DBS LFPs provide tools for investigating the biophysics and neural synchronization that underlie LFP signals. However, technical standards for DBS LFP model parameterization remain to be established. Therefore, the goal of this study was to evaluate the role of the volume conductor (VC) model complexity on simulated LFP signals in the subthalamic nucleus (STN). APPROACH: We created a detailed human head VC model that explicitly represented the inhomogeneity and anisotropy associated with 12 different tissue structures. This VC model represented our "gold standard" for technical detail and electrical realism. We then incrementally decreased the complexity of the VC model and quantified the impact on the simulated LFP recordings. Identical STN neural source activity was used when comparing the different VC model variants. Results Ignoring tissue anisotropy reduced the simulated LFP amplitude by ~12%, while eliminating soft tissue heterogeneity had a negligible effect on the recordings. Simplification of the VC model to consist of a single homogenous isotropic tissue medium with a conductivity of 0.215 S/m contributed an additional ~3% to the error. SIGNIFICANCE: Highly detailed VC models do generate different results than simplified VC models. However, with errors in the range of ~15%, the use of a well-parameterized simple VC model is likely to be acceptable in most contexts for DBS LFP modeling.

Indexed as

Deep Brain StimulationSubthalamic NucleusBeta RhythmElectrodesHumansModels, Neurological

Identifiers

PMID38011104
PMCPMC10681243

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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.