Evidence map›Paper›PMID 39442548›Full record

ReviewJournal of neural engineering2024

Real-time TMS-EEG for brain state-controlled research and precision treatment: a narrative review and guide.

Miles Wischnewski, Sina Shirinpour, Ivan Alekseichuk, Maria I Lapid, Ziad Nahas, Kelvin O Lim, Paul E Croarkin, Alexander Opitz

Abstract readReview
In one paragraph

Review in Journal of neural engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  6. Personalized, EEG-controlled intermittent theta burst stimulation.medRxiv : the preprint server for health sciences · 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

8 authors.

Miles WischnewskiDepartment of Psychology, Experimental Psychology, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-0056-6464
Sina ShirinpourDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America.ORCID 0000-0002-8267-6527
Ivan AlekseichukDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America.ORCID 0000-0002-2205-4910
Maria I LapidDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, United States of America.
Ziad NahasDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States of America.
Kelvin O LimDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States of America.
Paul E CroarkinDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, United States of America.
Alexander OpitzDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America.

Funding

Validation of Closed-Loop Prefrontal Transcranial Magnetic Stimulation in a Non-Human Primate ModelR01MH136053 · NIMH · UNIVERSITY OF MINNESOTA · PI Arnaud Y Falchier, Alexander Opitz · 2024 to 2026
$2.4M
NIMH NIH HHS R01 MH136053
6 · The paper itself

Abstract

Transcranial magnetic stimulation (TMS) modulates neuronal activity, but the efficacy of an open-loop approach is limited due to the brain state's dynamic nature. Real-time integration with electroencephalography (EEG) increases experimental reliability and offers personalized neuromodulation therapy by using immediate brain states as biomarkers. Here, we review brain state-controlled TMS-EEG studies since the first publication several years ago. A summary of experiments on the sensorimotor mu rhythm (8-13 Hz) shows increased cortical excitability due to TMS pulse at the trough and decreased excitability at the peak of the oscillation. Pre-TMS pulse mu power also affects excitability. Further, there is emerging evidence that the oscillation phase in theta and beta frequency bands modulates neural excitability. Here, we provide a guide for real-time TMS-EEG application and discuss experimental and technical considerations. We consider the effects of hardware choice, signal quality, spatial and temporal filtering, and neural characteristics of the targeted brain oscillation. Finally, we speculate on how closed-loop TMS-EEG potentially could improve the treatment of neurological and mental disorders such as depression, Alzheimer's, Parkinson's, schizophrenia, and stroke.

Indexed as

BrainElectroencephalographyTranscranial Magnetic StimulationComputer SystemsHumansPrecision Medicinebrain statesclosed-loop neuromodulationelectroencephalographyprecision treatmenttranscranial magnetic stimulation

Identifiers

PMID39442548
PMCPMC11528152

What OpenQuestion holds

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LicenceCC BY
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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.