ArticleJournal of neuroscience methods2019
The Quasi-uniform assumption for Spinal Cord Stimulation translational research.
Article in Journal of neuroscience methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- A systematic review of computational models for the design of spinal cord stimulation therapies: from neural circuits to patient-specific simulations.The Journal of physiology · 2023Pooled it
- Molecular and Cellular Mechanisms of Spinal Cord Stimulation: Linking Dorsal Horn Circuits, Glia, and ECAP-Guided Therapy.International journal of molecular sciences · 2026Review
- Computational Models of High-Definition Electroconvulsive Therapy for Focal or Multitargeting Treatment.The journal of ECT · 2025Article
- Computational Optimization of Spinal Cord Stimulation for Dorsal Horn Interneuron Polarization.Neuromodulation : journal of the International Neuromodulation Society · 2025Article
- Role of frequency-dependent and capacitive tissue properties in spinal cord stimulation models.Journal of neural engineering · 2025Article
- Grid-based transcutaneous spinal cord stimulation: probing neuromodulatory effect in spinal flexion reflex circuits.Journal of neural engineering · 2025Article
- Quasistatic approximation in neuromodulation.Journal of neural engineering · 2024Review
- Cytoskeletal Remodeling and Gap Junction Translocation Mediates Blood-Brain Barrier Disruption by Non-invasive Low-Voltage Pulsed Electric Fields.Annals of biomedical engineering · 2024Article
- Immediate and after effects of transcranial direct-current stimulation in the mouse primary somatosensory cortex.Scientific reports · 2021Article
- Article
- High-resolution computational modeling of the current flow in the outer ear during transcutaneous auricular Vagus Nerve Stimulation (taVNS).Brain stimulationArticle
- Article
- Article
- Temporal interference stimulation targets deep brain regions by modulating neural oscillations.Brain stimulationArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundQuasi-uniform assumption is a general theory that postulates local electric field predicts neuronal activation. Computational current flow model of spinal cord stimulation (SCS) of humans and animal models inform how the quasi-uniform assumption can support scaling neuromodulation dose between humans and translational animal. NEW
methodHere we developed finite element models of cat and rat SCS, and brain slice, alongside SCS models. Boundary conditions related to species specific electrode dimensions applied, and electric fields per unit current (mA) predicted.
resultsClinically and across animal, electric fields change abruptly over small distance compared to the neuronal morphology, such that each neuron is exposed to multiple electric fields. Per unit current, electric fields generally decrease with body mass, but not necessarily and proportionally across tissues. Peak electric field in dorsal column rat and cat were ∼17x and ∼1x of clinical values, for scaled electrodes and equal current. Within the spinal cord, the electric field for rat, cat, and human decreased to 50% of peak value caudo-rostrally (C5-C6) at 0.48 mm, 3.2 mm, and 8 mm, and mediolaterally at 0.14 mm, 2.3 mm, and 3.1 mm. Because these space constants are different, electric field across species cannot be matched without selecting a region of interest (ROI). COMPARISON WITH EXISTING
methodThis is the first computational model to support scaling neuromodulation dose between humans and translational animal.
conclusionsInter-species reproduction of the electric field profile across the entire surface of neuron populations is intractable. Approximating quasi-uniform electric field in a ROI is a rational step to translational scaling.
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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.