Evidence map›Paper›PMID 36134450›Full record

ArticleBrain and behavior2022

Online closed-loop real-time tES-fMRI for brain modulation: A technical report.

Beni Mulyana, Aki Tsuchiyagaito, Masaya Misaki, Rayus Kuplicki, Jared Smith, Ghazaleh Soleimani, Ashkan Rashedi, Duke Shereen, Til Ole Bergman, Samuel Cheng and 3 more

Abstract read
In one paragraph

Article in Brain and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  4. Bilateral High-Definition Transcranial Direct Current Stimulation for Upper Extremity Rehabilitation in Stroke.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  5. Review
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  7. Article
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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

13 authors.

Beni MulyanaLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Aki TsuchiyagaitoLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Masaya MisakiLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Rayus KuplickiLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Jared SmithLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Ghazaleh SoleimaniDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
Ashkan RashediLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Duke ShereenThe Graduate Center of the City University of New York, New York, New York, USA.
Til Ole BergmanNeuroimaging Center (NIC), University Medical Center of the Johannes Gutenberg University Mainz, Germany.
Samuel ChengElectrical and Computer Engineering, University of Oklahoma, Tulsa, Oklahoma, USA.
Martin P PaulusLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Jerzy BodurkaLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Hamed EkhtiariLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.ORCID 0000-0001-6902-8798

Funding

Measurement of Electric Field and Hemodynamic Response During Transcranial Direct Current Stimulation Using Magnetic Resonance ImagingR21NS115018 · NINDS · ADVANCED SCIENCE RESEARCH CENTER · PI SHEREEN, AHMED · 2020 to 2020
$432k
NINDS NIH HHS R21 NS115018
6 · The paper itself

Abstract

Recent studies suggest that transcranial electrical stimulation (tES) can be performed during functional magnetic resonance imaging (fMRI). The novel approach of using concurrent tES-fMRI to modulate and measure targeted brain activity/connectivity may provide unique insights into the causal interactions between the brain neural responses and psychiatric/neurologic signs and symptoms, and importantly, guide the development of new treatments. However, tES stimulation parameters to optimally influence the underlying brain activity may vary with respect to phase difference, frequency, intensity, and electrode's montage among individuals. Here, we propose a protocol for closed-loop tES-fMRI to optimize the frequency and phase difference of alternating current stimulation (tACS) for two nodes (frontal and parietal regions) in individual participants. We carefully considered the challenges in an online optimization of tES parameters with concurrent fMRI, specifically in its safety, artifact in fMRI image quality, online evaluation of the tES effect, and parameter optimization method, and we designed the protocol to run an effective study to enhance frontoparietal connectivity and working memory performance with the optimized tACS using closed-loop tES-fMRI. We provide technical details of the protocol, including electrode types, electrolytes, electrode montages, concurrent tES-fMRI hardware, online fMRI processing pipelines, and the optimization algorithm. We confirmed the implementation of this protocol worked successfully with a pilot experiment.

Indexed as

Transcranial Direct Current StimulationArtifactsBrainBrain MappingHumansMagnetic Resonance Imagingclosed-loopexecutive control networkfMRIfrontoparietal networkoptimizationprecision medicinetES

Identifiers

PMID36134450
PMCPMC9575607

What OpenQuestion holds

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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.