Evidence map›Paper›PMID 40517845›Full record

ArticleJournal of neuroscience methods2025

Flexible modeling of large-scale neural network stimulation: Electrical and optical extensions to The Virtual Electrode Recording Tool for EXtracellular Potentials (VERTEX).

Anne F Pierce, Larry Shupe, Julien Bloch, Eberhard Fetz, Azadeh Yazdan-Shahmorad

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2025. 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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Anne F PierceDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA; Washington National Primate Research Center, Seattle, WA 98195, USA.
Larry ShupeDepartment of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA.
Julien BlochDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA; Washington National Primate Research Center, Seattle, WA 98195, USA.
Eberhard FetzWashington National Primate Research Center, Seattle, WA 98195, USA; Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA.
Azadeh Yazdan-ShahmoradDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA; Washington National Primate Research Center, Seattle, WA 98195, USA; Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA. Electronic address: azadehy@uw.edu.

Funding

Engineering neuroplasticity using volitional control of activity-dependent optogenetic stimulation in macaque sensorimotor cortexR01NS119395 · NINDS · UNIVERSITY OF WASHINGTON · PI YAZDAN SHAHMORAD, AZADEH · 2021 to 2025
$3.9M
NINDS NIH HHS R01 NS119395
6 · The paper itself

Abstract

backgroundComputational models that predict effects of neural stimulation can serve as a preliminary tool to inform in-vivo research, reducing costs, time, and ethical considerations. However, current models do not support the diverse neural stimulation techniques used in-vivo, including the expanding selection of electrodes, stimulation modalities, and stimulation protocols. NEW

methodWe developed several extensions to The Virtual Electrode Recording Tool for EXtracellular Potentials (VERTEX), the MATLAB-based neural stimulation tool. VERTEX simulates input currents in a large population of multi-compartment neurons within a small cortical slice to model electric field stimulation, while recording local field potentials (LFPs) and spiking activity. Our extensions enhance this framework with support for multiple pairs of parametrically defined electrodes and biphasic, bipolar stimulation delivered at programmable delays. To support the growing use of optogenetic approaches for targeted neural stimulation, we introduced a feature that models optogenetic stimulation through an additional VERTEX input function that converts irradiance to currents at optogenetically responsive neurons. Finally, we added extensions to allow complex stimulation protocols including paired-pulse, spatiotemporal patterned, and closed-loop stimulation.

resultsWe demonstrated these novel features using VERTEX's built-in functionalities, with results consistent with other models and experimental work. COMPARISON WITH EXISTING

methodsUnlike other tools, our extensions enable both electric field and optogenetic stimulation, provide a range of open- and closed-loop protocols, and offer flexible settings within a large-scale cortical network of neurons with realistic biophysical properties.

conclusionsOur extensions provide an all-in-one platform to efficiently and systematically test diverse, targeted, and individualized stimulation patterns.

Indexed as

Electric StimulationModels, NeurologicalNerve NetNeural Networks, ComputerNeuronsAction PotentialsAnimalsCerebral CortexComputer SimulationOptogeneticsClosed-loop stimulationElectrical stimulationNeural ModelingNeural simulationOptogenetic stimulationPaired Pulse stimulationPatterned stimulation

Identifiers

PMID40517845
PMCPMC12283084

What Socratic holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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 Socratic graph.