Evidence map›Paper›PMID 30013890›Full record

ArticleCurrent behavioral neuroscience reports2018

Using animal models to improve the design and application of transcranial electrical stimulation in humans.

Carlos A Sánchez-León, Claudia Ammann, Javier F Medina, Javier Márquez-Ruiz

Open access · greenAbstract read
In one paragraph

Article in Current behavioral neuroscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Carlos A Sánchez-LeónDivision of Neurosciences, Pablo de Olavide University, 41013-Seville, Spain.
Claudia AmmannCINAC, University Hospital HM Puerta del Sur, CEU - San Pablo University, 28938-Móstoles, Madrid, Spain.
Javier F MedinaDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Javier Márquez-RuizDivision of Neurosciences, Pablo de Olavide University, 41013-Seville, Spain.
Universidad Pablo de Olavide · ESBaylor College of Medicine · USUniversidad San Pablo CEU · ES

Funding

The impact of cerebellar tDCS in local and downstream brain circuits: how much is neuralactivity modulated in the resting state and during sensorimotor processing?RF1MH114269 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI MEDINA, JAVIER F · 2017 to 2017
$2.0M
NIMH NIH HHS RF1 MH114269
6 · The paper itself

Abstract

purpose of reviewTranscranial electrical stimulation (tES) is a non-invasive stimulation technique used for modulating brain function in humans. To help tES reach its full therapeutic potential, it is necessary to address a number of critical gaps in our knowledge. Here, we review studies that have taken advantage of animal models to provide invaluable insight about the basic science behind tES. RECENT

findingsAnimal studies are playing a key role in elucidating the mechanisms implicated in tES, defining safety limits, validating computational models, inspiring new stimulation protocols, enhancing brain function and exploring new therapeutic applications. SUMMARY: Animal models provide a wealth of information that can facilitate the successful utilization of tES for clinical interventions in human subjects. To this end, tES experiments in animals should be carefully designed to maximize opportunities for applying discoveries to the treatment of human disease.

Indexed as

animal modelsbrain stimulationneuromodulationplasticitytDCStranscranial electrical stimulation

Identifiers

PMID30013890
PMCPMC6044438
OpenAlexW2800536306

What OpenQuestion holds

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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 OpenQuestion graph.