ReviewFrontiers in human neuroscience2017
Multi-Scale Computational Models for Electrical Brain Stimulation.
Review in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- Visual Neurorestoration: An Expert Review of Current Strategies for Restoring Vision in Humans.Brain sciences · 2025Review
- Article
- Editorial: Improving Neuroprosthetics Through Novel Techniques for Processing Electrophysiological Human Brain Signals.Frontiers in neuroscience · 2022Article
- Inducing neuroplasticity through intracranial θ-burst stimulation in the human sensorimotor cortex.Journal of neurophysiology · 2021Article
- A generalized workflow for conducting electric field-optimized, fMRI-guided, transcranial magnetic stimulation.Nature protocols · 2020Article
- Comparative modeling of transcranial magnetic and electric stimulation in mouse, monkey, and human.NeuroImage · 2019Article
- Cerebellar Lobules Optimal Stimulation (CLOS): A Computational Pipeline to Optimize Cerebellar Lobule-Specific Electric Field Distribution.Frontiers in neuroscience · 2019Article
- A Glutamatergic Spine Model to Enable Multi-Scale Modeling of Nonlinear Calcium Dynamics.Frontiers in computational neuroscience · 2018Article
- Article
- Consistent linear and non-linear responses to invasive electrical brain stimulation across individuals and primate species with implanted electrodes.Brain stimulationArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrical brain stimulation (EBS) is an appealing method to treat neurological disorders. To achieve optimal stimulation effects and a better understanding of the underlying brain mechanisms, neuroscientists have proposed computational modeling studies for a decade. Recently, multi-scale models that combine a volume conductor head model and multi-compartmental models of cortical neurons have been developed to predict stimulation effects on the macroscopic and microscopic levels more precisely. As the need for better computational models continues to increase, we overview here recent multi-scale modeling studies; we focused on approaches that coupled a simplified or high-resolution volume conductor head model and multi-compartmental models of cortical neurons, and constructed realistic fiber models using diffusion tensor imaging (DTI). Further implications for achieving better precision in estimating cellular responses are discussed.
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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.