Evidence map›Paper›PMID 37582922›Full record

ReviewTranslational psychiatry2023

Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments.

Ghazaleh Soleimani, Michael A Nitsche, Til Ole Bergmann, Farzad Towhidkhah, Ines R Violante, Romy Lorenz, Rayus Kuplicki, Aki Tsuchiyagaito, Beni Mulyana, Ahmad Mayeli and 6 more

Abstract readReview
In one paragraph

Review in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Rhythmic stimulation elicits multiple, concurrent neural responses.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  17. Tinnitus.Nature reviews. Disease primers · 2026
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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

16 authors.

Ghazaleh SoleimaniDepartment of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Michael A NitscheDepartment of Psychology and Neuroscience, Leibniz Research Center for Working Environment and Human Factors, Dortmund, Germany.ORCID http://orcid.org/0000-0002-2207-5965
Til Ole BergmannNeuroimaging Center, Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany.
Farzad TowhidkhahDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
Ines R ViolanteSchool of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guilford, UK.
Romy LorenzDepartment of Psychology, Stanford University, Stanford, CA, USA.
Rayus KuplickiLaureate Institute for Brain Research, Tulsa, OK, USA.ORCID http://orcid.org/0000-0003-2954-6421
Aki TsuchiyagaitoLaureate Institute for Brain Research, Tulsa, OK, USA.ORCID http://orcid.org/0000-0002-7606-1745
Beni MulyanaLaureate Institute for Brain Research, Tulsa, OK, USA.
Ahmad MayeliUniversity of Pittsburgh Medical Center, Pittsburg, PA, USA.
Peyman Ghobadi-AzbariDepartment of Biomedical Engineering, Shahed University, Tehran, Iran.
Mohsen Mosayebi-SamaniDepartment of Psychology and Neuroscience, Leibniz Research Center for Working Environment and Human Factors, Dortmund, Germany.
Anna ZilverstandDepartment of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0002-4889-9700
Martin P PaulusLaureate Institute for Brain Research, Tulsa, OK, USA.ORCID http://orcid.org/0000-0002-0825-3606
Marom BiksonCity University of New York, New York, NY, USA.
Hamed EkhtiariDepartment of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA. hekhtiari@laureateinstitute.org.ORCID http://orcid.org/0000-0001-6902-8798

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI MARTIN P. PAULUS · 2017 to 2026
$23.7M
15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7M
Open-source computational modeling of Spinal Cord Stimulation (SCS) to enhance dissemination of 1R01NS112996R01NS112996 · NINDS · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2020 to 2024
$2.0M
NIDA NIH HHS U01 DA050989NIGMS NIH HHS P20 GM121312NINDS NIH HHS R01 NS112996
6 · The paper itself

Abstract

One of the most critical challenges in using noninvasive brain stimulation (NIBS) techniques for the treatment of psychiatric and neurologic disorders is inter- and intra-individual variability in response to NIBS. Response variations in previous findings suggest that the one-size-fits-all approach does not seem the most appropriate option for enhancing stimulation outcomes. While there is a growing body of evidence for the feasibility and effectiveness of individualized NIBS approaches, the optimal way to achieve this is yet to be determined. Transcranial electrical stimulation (tES) is one of the NIBS techniques showing promising results in modulating treatment outcomes in several psychiatric and neurologic disorders, but it faces the same challenge for individual optimization. With new computational and methodological advances, tES can be integrated with real-time functional magnetic resonance imaging (rtfMRI) to establish closed-loop tES-fMRI for individually optimized neuromodulation. Closed-loop tES-fMRI systems aim to optimize stimulation parameters based on minimizing differences between the model of the current brain state and the desired value to maximize the expected clinical outcome. The methodological space to optimize closed-loop tES fMRI for clinical applications includes (1) stimulation vs. data acquisition timing, (2) fMRI context (task-based or resting-state), (3) inherent brain oscillations, (4) dose-response function, (5) brain target trait and state and (6) optimization algorithm. Closed-loop tES-fMRI technology has several advantages over non-individualized or open-loop systems to reshape the future of neuromodulation with objective optimization in a clinically relevant context such as drug cue reactivity for substance use disorder considering both inter and intra-individual variations. Using multi-level brain and behavior measures as input and desired outcomes to individualize stimulation parameters provides a framework for designing personalized tES protocols in precision psychiatry.

Indexed as

Nervous System DiseasesTranscranial Direct Current StimulationBrainElectric StimulationHumansTranscranial Magnetic Stimulation

Identifiers

PMID37582922
PMCPMC10427701

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.