ArticleMedical & biological engineering & computing2012
Influence of heterogeneous and anisotropic tissue conductivity on electric field distribution in deep brain stimulation.
Article in Medical & biological engineering & computing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed.
- Energy-dependent cortical injury thresholds in high-frequency transcortical electrical stimulation: a biophysical study in a rat model.Experimental brain research · 2026Article
- Muscle anisotropy influences the phrenic nerve activation threshold in non-invasive electrical stimulation.Medical & biological engineering & computing · 2026Article
- Predictive modeling of sensory responses in deep brain stimulation.Frontiers in neurology · 2024Article
- [The influence of tissue conductivity on the calculation of electric field in the transcranial magnetic stimulation head model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Real-Time Monitoring Using Multiplexed Multi-Electrode Bioelectrical Impedance Spectroscopy for the Stratification of Vascularized Composite Allografts: A Perspective on Predictive Analytics.Bioengineering (Basel, Switzerland) · 2023Article
- Optimized APPS-tDCS electrode position, size, and distance doubles the on-target stimulation magnitude in 3000 electric field models.Scientific reports · 2022Article
- Photovoltaic implant simulator reveals resolution limits in subretinal prosthesis.Journal of neural engineering · 2022Article
- Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization.Frontiers in neuroscience · 2022Review
- Variation of cerebrospinal fluid in specific regions regulates focality in transcranial direct current stimulation.Frontiers in human neuroscience · 2022Article
- Impact of brain shift on neural pathways in deep brain stimulation: a preliminary analysis via multi-physics finite element models.Journal of neural engineering · 2021Article
- Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning.PloS one · 2021Article
- Exposure of Live-Line Workers to Magnetic Fields: A Dosimetric Analysis.International journal of environmental research and public health · 2020Article
- Stimulation maps: visualization of results of quantitative intraoperative testing for deep brain stimulation surgery.Medical & biological engineering & computing · 2020Article
- Steering the Volume of Tissue Activated With a Directional Deep Brain Stimulation Lead in the Globus Pallidus Pars Interna: A Modeling Study With Heterogeneous Tissue Properties.Frontiers in computational neuroscience · 2020Article
- Anodic stimulation misunderstood: preferential activation of fiber orientations with anodic waveforms in deep brain stimulation.Journal of neural engineering · 2019Article
- White matter tracing combined with electric field simulation - A patient-specific approach for deep brain stimulation.NeuroImage. Clinical · 2019Article
- A review of anisotropic conductivity models of brain white matter based on diffusion tensor imaging.Medical & biological engineering & computing · 2018Review
- Electric Field Comparison between Microelectrode Recording and Deep Brain Stimulation Systems-A Simulation Study.Brain sciences · 2018Article
- Probabilistic mapping of deep brain stimulation effects in essential tremor.NeuroImage. Clinical · 2017Article
- Investigation into Deep Brain Stimulation Lead Designs: A Patient-Specific Simulation Study.Brain sciences · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim was to quantify the influence of heterogeneous isotropic and heterogeneous anisotropic tissue on the spatial distribution of the electric field during deep brain stimulation (DBS). Three finite element tissue models were created of one patient treated with DBS. Tissue conductivity was modelled as (I) homogeneous isotropic, (II) heterogeneous isotropic based on MRI, and (III) heterogeneous anisotropic based on diffusion tensor MRI. Modelled DBS electrodes were positioned in the subthalamic area, the pallidum, and the internal capsule in each tissue model. Electric fields generated during DBS were simulated for each model and target-combination and visualized with isolevels at 0.20 (inner), and 0.05 V mm(-1) (outer). Statistical and vector analysis was used for evaluation of the distribution of the electric field. Heterogeneous isotropic tissue altered the spatial distribution of the electric field by up to 4% at inner, and up to 10% at outer isolevel. Heterogeneous anisotropic tissue influenced the distribution of the electric field by up to 18 and 15% at each isolevel, respectively. The influence of heterogeneous and anisotropic tissue on the electric field may be clinically relevant in anatomic regions that are functionally subdivided and surrounded by multiple fibres of passage.
Indexed as
Identifiers
22101515What OpenQuestion holds
Registered trials
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.