Evidence map›Paper›PMID 31473351›Full record

ArticleNeuroImage2019

Prospects for transcranial temporal interference stimulation in humans: A computational study.

Sumientra Rampersad, Biel Roig-Solvas, Mathew Yarossi, Praveen P Kulkarni, Emiliano Santarnecchi, Alan D Dorval, Dana H Brooks

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% 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

79 citing papers in PubMed, 3 syntheses or guidelines pooled it, 157 citations in OpenAlex.

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  15. [Electric-field modeling, simulation, and experimental analysis of multi-target temporal interference transcranial alternating current stimulation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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19 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Sumientra RampersadDepartment of Electrical and Computer Engineering, Northeastern University, Boston, USA. Electronic address: rampersad@northeastern.edu.
Biel Roig-SolvasDepartment of Electrical and Computer Engineering, Northeastern University, Boston, USA.
Mathew YarossiDepartment of Electrical and Computer Engineering, Northeastern University, Boston, USA; Department of Physical Therapy, Movement and Rehabilitation Science, Northeastern University, Boston, USA.
Praveen P KulkarniCenter for Translational Neuro-imaging, Northeastern University, Boston, USA.
Emiliano SantarnecchiBerenson-Allen Center for Noninvasive Brain Stimulation, Harvard Medical School, Boston, USA.
Alan D DorvalDepartment of Biomedical Engineering, University of Utah, Salt Lake City, USA.
Dana H BrooksDepartment of Electrical and Computer Engineering, Northeastern University, Boston, USA.
Northeastern University · USBerenson Allen Center for Noninvasive Brain Stimulation · USUniversity of Utah · US

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2012 to 2019
$9.7M
NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

Transcranial alternating current stimulation (tACS) is a noninvasive method used to modulate activity of superficial brain regions. Deeper and more steerable stimulation could potentially be achieved using transcranial temporal interference stimulation (tTIS): two high-frequency alternating fields interact to produce a wave with an envelope frequency in the range thought to modulate neural activity. Promising initial results have been reported for experiments with mice. In this study we aim to better understand the electric fields produced with tTIS and examine its prospects in humans through simulations with murine and human head models. A murine head finite element model was used to simulate previously published experiments of tTIS in mice. With a total current of 0.776 mA, tTIS electric field strengths up to 383 V/m were reached in the modeled mouse brain, affirming experimental results indicating that suprathreshold stimulation is possible in mice. Using a detailed anisotropic human head model, tTIS was simulated with systematically varied electrode configurations and input currents to investigate how these parameters influence the electric fields. An exhaustive search with 88 electrode locations covering the entire head (146M current patterns) was employed to optimize tTIS for target field strength and focality. In all analyses, we investigated maximal effects and effects along the predominant orientation of local neurons. Our results showed that it was possible to steer the peak tTIS field by manipulating the relative strength of the two input fields. Deep brain areas received field strengths similar to conventional tACS, but with less stimulation in superficial areas. Maximum field strengths in the human model were much lower than in the murine model, too low to expect direct stimulation effects. While field strengths from tACS were slightly higher, our results suggest that tTIS is capable of producing more focal fields and allows for better steerability. Finally, we present optimal four-electrode current patterns to maximize tTIS in regions of the pallidum (0.37 V/m), hippocampus (0.24 V/m) and motor cortex (0.57 V/m).

Indexed as

BrainComputer SimulationModels, BiologicalTranscranial Direct Current StimulationAdultAnimalsHumansMaleMiceMice, Inbred C57BLBioelectricity simulationFinite element modeling (FEM)Non-invasive brain stimulationOptimizationTemporal interferenceTranscranial alternating current stimulation (tACS)

Identifiers

PMID31473351
PMCPMC6819277
OpenAlexW2970142828

What OpenQuestion holds

Textmetadata
LicenceTDM
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.