Evidence map›Paper›PMID 40924787›Full record

ArticlePLoS computational biology2025

EFMouse: A toolbox to model stimulation-induced electric fields in the mouse brain.

Ruben Sanchez-Romero, Sibel Akyuz, Bart Krekelberg

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ruben Sanchez-RomeroCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America.ORCID 0000-0002-9297-6371
Sibel AkyuzCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America.
Bart KrekelbergCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America.

Funding

Neural Mechanisms of Transcranial Current StimulationR01NS120289 · NINDS · RUTGERS THE STATE UNIV OF NJ NEWARK · PI KREKELBERG, BART, POLACK, PIERRE- OLIVIER · 2021 to 2025
$2.9M
NINDS NIH HHS R01 NS120289
6 · The paper itself

Abstract

Research into the mechanisms underlying neuromodulation by tES using in-vivo animal models is key to overcoming experimental limitations in humans and essential to building a detailed understanding of the in-vivo consequences of tES. Insights from such animal models are needed to develop targeted and effective therapeutic applications of non-invasive brain stimulation in humans. The sheer difference in scale and geometry between animal models and the human brain contributes to the complexity of designing and interpreting animal studies. Here, we introduce EFMouse, a toolbox that extends previous approaches to model intracranial electric fields and generate predictions that can be tested with in-vivo recordings in mice. Novel functionality includes the ability to capture typical surgical approaches in the mouse (e.g., cranial recording windows), the placement of stimulation electrodes anywhere in or on the animal, and novel ways to report field predictions, including some refined measures of focality and direction homogeneity, and quantification based on regions defined in the Allen Mouse Brain Atlas. Although the EFMouse toolbox is generally applicable to planning and designing tES studies in mice, we illustrate its use by posing questions about transcranial direct current stimulation (tDCS) experiments with the goal of targeting the left visual cortex of the mouse. The EFMouse toolbox is publicly available at https://github.com/klabhub/EFMouse.

Indexed as

BrainModels, NeurologicalSoftwareTranscranial Direct Current StimulationAnimalsComputational BiologyMice

Identifiers

PMID40924787
PMCPMC12435644

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.