Evidence map›Paper›PMID 40343829›Full record

ArticleIEEE transactions on bio-medical engineering2025

A Quasi-Resonant System for High-Frequency Trans-Spinal Magnetic Stimulation (HF-TSMS).

Francesca Marturano, Don Straney, Micol Colella, Yin-Ching Iris Chen, Ilknur Ay, Giorgio Bonmassar

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Francesca Marturano
Don Straney
Micol Colella
Yin-Ching Iris Chen
Ilknur Ay
Giorgio Bonmassar

Funding

Transspinal Magnetic Stimulation for the Treatment of Neuropathic PainR18EB036591 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BONMASSAR, GIORGIO · 2024 to 2024
$3.6M
Micro-TMS Technology for Ultra-Focal Brain StimulationR01MH111875 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BONMASSAR, GIORGIO · 2016 to 2019
$3.1M
Simultaneous functional MRI and Micro-Magnetic Nervous System StimulationR01NS120594 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI AY, ILKNUR, BONMASSAR, GIORGIO · 2021 to 2021
$2.2M
NIBIB NIH HHS R18 EB036591NIMH NIH HHS R01 MH111875NINDS NIH HHS R01 NS120594
6 · The paper itself

Abstract

objectiveWe designed, developed, and tested a novel non-invasive system for high-frequency (HF) trans-spinal magnetic stimulation (TSMS).

methodsThe system is based on a quasi-resonant pulse width modulation (PWM) design with customizable parameters, coupled with a custom figure-8 coil optimized for selective stimulation of spinal fibers. A key innovation is sequence-controlled zero current switching (SCZCS), which minimizes switching losses.

resultsThrough quasi-resonance, a capacitor bank canceled the coil inductance, enabling the generation of 5 kA current pulses at 10 kHz with input voltages over three times lower than traditional magnetic stimulation methods. Preliminary rodent experiments, including electrophysiological recordings from the common peroneal nerve studies, demonstrated that the system's pulses reached the spinal cord. The HF-TSMS system operated safely, delivering HF stimulation without significant coil heating during experimental sessions.

conclusionThe proposed HF-TSMS system generated HF current pulses at lower cost, with reduced switching losses and higher efficiency. SIGNIFICANCE: This system has the potential for integration into clinical practice as a safe and non-invasive treatment option for chronic pain management.

Indexed as

Signal Processing, Computer-AssistedSpinal CordSpinal Cord StimulationAnimalsEquipment DesignMaleRatsRats, Sprague-Dawley

Identifiers

PMID40343829
PMCPMC12706851

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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.