ArticleFrontiers in human neuroscience2018
Understanding the Effects and Adverse Reactions of Deep Brain Stimulation: Is It Time for a Paradigm Shift Toward a Focus on Heterogenous Biophysical Tissue Properties Instead of Electrode Design Only?
Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 29 citations in OpenAlex.
- Electric Field-Empowered Nanozymes: From Passive Adaptation to Active Precision Therapy.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Deep Brain Stimulation: Mechanisms, Cost-Effectiveness, and Precision Applications Across Neurology and Psychiatry.Biomedicines · 2025Review
- Risk of Cerebrovascular Events in Deep Brain Stimulation for Parkinson's Disease Focused on STN and GPi: Systematic Review and Meta-Analysis.Brain sciences · 2025Review
- Effect of deep brain stimulation on dysphagia in Parkinson's disease: mechanisms, evidence, and outlook.Frontiers in aging neuroscience · 2025Review
- Photoacoustic: A Versatile Nongenetic Method for High-Precision Neuromodulation.Accounts of chemical research · 2024Review
- Contribution of the subthalamic nucleus to motor, cognitive and limbic processes: an electrophysiological and stimulation study in monkeys.Frontiers in neuroscience · 2024Article
- Optically-generated focused ultrasound for noninvasive brain stimulation with ultrahigh precision.Light, science & applications · 2022Article
- High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning.NeuroImage · 2022Review
- High-precision neural stimulation through optoacoustic emitters.Neurophotonics · 2022Article
- Past, Present, and Future of Deep Brain Stimulation: Hardware, Software, Imaging, Physiology and Novel Approaches.Frontiers in neurology · 2022Review
- Non-genetic photoacoustic stimulation of single neurons by a tapered fiber optoacoustic emitter.Light, science & applications · 2021Article
- Comparing Current Steering Technologies for Directional Deep Brain Stimulation Using a Computational Model That Incorporates Heterogeneous Tissue Properties.Neuromodulation : journal of the International Neuromodulation Society · 2020Article
- Current Directions in Deep Brain Stimulation for Parkinson's Disease-Directing Current to Maximize Clinical Benefit.Neurology and therapy · 2020Review
- 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
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep brain stimulation (DBS) has been proven to be an effective treatment modality for various late-stage neurological and psychiatric disorders. However, knowledge on the electrical field distribution in the brain tissue is still scarce. Most recent attempts to understand electric field spread were primarily focused on the effect of different electrodes on rather simple tissue models. The influence of microanatomic, biophysical tissue properties in particular has not been investigated in depth. Ethical concerns restrict thorough research on field distribution in human
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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.