Evidence map›Paper›PMID 41052710›Full record

ArticleBrain stimulation

Optimal asymmetric electric field pulses for selective transcranial magnetic stimulation with minimised power and coil heating.

Ke Ma, Andrey Vlasov, Zeynep B Simsek, Jinshui Zhang, Yiru Li, Boshuo Wang, David L K Murphy, Jessica Y Choi, Maya E Clinton, Noreen Bukhari-Parlakturk and 2 more

Abstract read
In one paragraph

Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Inductance calculation method for transcranial magnetic stimulation figure-8 coils Accounting for spatial mutual inductance].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Article
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

12 authors.

Ke MaDepartment of Engineering, School of Technology, University of Cambridge, Cambridge, CB2 1PZ, United Kingdom.
Andrey VlasovDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America.
Zeynep B SimsekDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America.
Jinshui ZhangDepartment of Electrical and Computer Engineering, School of Engineering, Duke University, Durham, NC 27708, United States of America.
Yiru LiDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America.
Boshuo WangDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America.
David L K MurphyDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America.
Jessica Y ChoiDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America.
Maya E ClintonDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America.
Noreen Bukhari-ParlakturkDepartment of Neurology, School of Medicine, Duke University, Durham, NC 27705, United States of America.
Angel V PeterchevDepartment of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America; Department of Electrical and Computer Engineering, School of Engineering, Duke University, Durham, NC 27708, United States of America; Department of Biomedical Engineering, School of Engineering, Duke University, Durham, NC 27708, United States of America; Department of Neurosurgery, School of Medicine, Duke University, Durham, NC 27710, United States of America.
Stephan M GoetzDepartment of Engineering, School of Technology, University of Cambridge, Cambridge, CB2 1PZ, United Kingdom; Department of Psychiatry and Behavioural Sciences, School of Medicine, Duke University, Durham, NC 27710, United States of America; Department of Electrical and Computer Engineering, School of Engineering, Duke University, Durham, NC 27708, United States of America; Department of Neurosurgery, School of Medicine, Duke University, Durham, NC 27710, United States of America. Electronic address: smg84@cam.ac.uk.

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

backgroundTranscranial magnetic stimulation (TMS) with asymmetric electric field pulses, such as monophasic, offers directional selectivity for neural activation but requires excessive energy. Previous pulse shape optimisation has been limited to symmetric pulses or heavily constrained variations of conventional waveforms without achieving general optimality in energy efficiency or neural selectivity.

objectiveWe sought to develop a minimally constrained optimisation framework for identifying energy-efficient asymmetric TMS pulses with directional selectivity of neural stimulation.

methodsWe implemented a novel optimisation framework that incorporates neuron model activation constraints and flexible control of pulse asymmetry. The optimised waveforms were experimentally validated against conventional and previously optimised pulses. We measured motor thresholds for conventional pulses as well as one of the optimised unidirectional rectangular (OUR) pulses and compared its MEP latency for anterior-posterior (AP) and posterior-anterior (PA) electric field directions in six healthy human subjects.

resultsThe optimised electric field waveforms had leading phases with a time constant of (280±15)μs (mean±SD) and near-rectangular main stimulation phases. They achieved up to respectively 92% and 88% reduction in energy loss and thus heating compared to conventional monophasic pulses and previously improved monophasic-equivalent pulses. In the human experiments, OUR pulses demonstrated similar motor thresholds to monophasic pulses in both AP and PA directions whilst achieving significantly lower energy loss, particularly in the AP direction. Moreover, there was a significant MEP latency difference of (1.79±0.41)ms (mean±SE) between AP and PA direction with OUR pulses, suggesting directional selectivity.

conclusionOur framework successfully identified highly energy-efficient asymmetric pulses for directionally-selective neural engagement. These pulses can enable selective rapid-rate repetitive TMS protocols with reduced power consumption and coil heating, with potential benefits for precision and potency of neuromodulation.

Indexed as

Evoked Potentials, MotorMotor CortexTranscranial Magnetic StimulationAdultFemaleHumansMaleYoung AdultComputational neuromodulationEnergy efficiencyNeural selectivityPulse feature designPulse shape optimisationTranscranial magnetic stimulation (TMS)

Identifiers

PMID41052710
PMCPMC12678852

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.