Evidence map›Paper›PMID 36301685›Full record

ArticleJournal of neural engineering2022

Modular pulse synthesizer for transcranial magnetic stimulation with fully adjustable pulse shape and sequence.

Z Li, J Zhang, A V Peterchev, S M Goetz

Open access · greenAbstract read
In one paragraph

Article in Journal of neural engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. xTMS: A Pulse Generator for Exploring Transcranial Magnetic Stimulation Therapies.Conference proceedings. IEEE Applied Power Electronics Conference and Exposition · 2023
    Article
  8. Article
  9. 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

4 authors at 1 institution in 2 countries.

Z LiDepartment of Electrical and Computer Engineering, Duke University, Durham, NC 27708, United States of America.ORCID 0000-0002-4839-2045
J ZhangDepartment of Electrical and Computer Engineering, Duke University, Durham, NC 27708, United States of America.ORCID 0000-0002-4523-4260
A V PeterchevDepartment of Electrical and Computer Engineering, Duke University, Durham, NC 27708, United States of America.ORCID 0000-0002-4385-065X
S M GoetzDepartment of Electrical and Computer Engineering, Duke University, Durham, NC 27708, United States of America.ORCID 0000-0002-1944-0714
Duke University · US

Funding

MPS-TMS: Modular Pulse Synthesizer for Transcranial Magnetic Stimulation with Fully Adjustable Pulse Shape and SequenceTBDRF1MH124943 · NIMH · DUKE UNIVERSITY · PI PETERCHEV, ANGEL V · 2020 to 2020
$1.6M
NIMH NIH HHS RF1 MH124943
6 · The paper itself

Abstract

The temporal shape of a pulse in transcranial magnetic stimulation (TMS) influences which neuron populations are activated preferentially as well as the strength and even direction of neuromodulation effects. Furthermore, various pulse shapes differ in their efficiency, coil heating, sensory perception, and clicking sound. However, the available TMS pulse shape repertoire is still very limited to a few biphasic, monophasic, and polyphasic pulses with sinusoidal or near-rectangular shapes. Monophasic pulses, though found to be more selective and stronger in neuromodulation, are generated inefficiently and therefore only available in simple low-frequency repetitive protocols. Despite a strong interest to exploit the temporal effects of TMS pulse shapes and pulse sequences, waveform control is relatively inflexible and only possible parametrically within certain limits. Previously proposed approaches for flexible pulse shape control, such as through power electronic inverters, have significant limitations: The semiconductor switches can fail under the immense electrical stress associated with free pulse shaping, and most conventional power inverter topologies are incapable of generating smooth electric fields or existing pulse shapes. Leveraging intensive preliminary work on modular power electronics, we present a modular pulse synthesizer (MPS) technology that can, for the first time, flexibly generate high-power TMS pulses (one-side peak ∼4000 V, ∼8000 A) with user-defined electric field shape as well as rapid sequences of pulses with high output quality. The circuit topology breaks the problem of simultaneous high power and switching speed into smaller, manageable portions, distributed across several identical modules. In consequence, the MPS TMS techology can use semiconductor devices with voltage and current ratings lower than the overall pulse voltage and distribute the overall switching of several hundred kilohertz among multiple transistors. MPS TMS can synthesize practically any pulse shape, including conventional ones, with fine quantization of the induced electric field (⩽17% granularity without modulation and ∼300 kHz bandwidth). Moreover, the technology allows optional symmetric differential coil driving so that the average electric potential of the coil, in contrast to conventional TMS devices, stays constant to prevent capacitive artifacts in sensitive recording amplifiers, such as electroencephalography. MPS TMS can enable the optimization of stimulation paradigms for more sophisticated probing of brain function as well as stronger and more selective neuromodulation, further expanding the parameter space available to users.

Indexed as

Amplifiers, ElectronicTranscranial Magnetic StimulationElectroencephalographyHeart Rateactivation selectivityarbitrary waveform generationelectric field quantizationflexible pulse shape synthesispulse sequence controltemporal control flexibilitytranscranial magnetic stimulation

Identifiers

PMID36301685
PMCPMC10206176
OpenAlexW4307407371

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.