Evidence map›Paper›PMID 40220955›Full record

ArticleBrain stimulation

Prior-information Robbins-Monro sequence for rapid motor thresholding of transcranial magnetic stimulation.

Siwei Liu, Boshuo Wang, Ke Ma, Xuyi Hu, Lari M Koponen, Angel V Peterchev, S M Mahdi Alavi, Stephan M Goetz

Abstract readLetter
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. 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

8 authors.

Siwei LiuDepartment of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, United Kingdom. Electronic address: sl2049@cam.ac.uk.
Boshuo WangDepartment of Psychiatry and Behavioral Sciences, Duke University, 40 Duke Medicine Circle, Durham, NC 27710, North Carolina, USA. Electronic address: boshuo.wang@duke.edu.
Ke MaDepartment of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, United Kingdom. Electronic address: km834@cam.ac.uk.
Xuyi HuDepartment of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, United Kingdom. Electronic address: xh365@cam.ac.uk.
Lari M KoponenInstitute for Gravitational Wave Astronomy, School of Physics and Astronomy, University of Birmingham, Birmingham, B15 2TT, United Kingdom. Electronic address: l.koponen@bham.ac.uk.
Angel V PeterchevDepartment of Psychiatry and Behavioral Sciences, Duke University, 40 Duke Medicine Circle, Durham, NC 27710, North Carolina, USA. Electronic address: angel.peterchev@duke.edu.
S M Mahdi AlaviDepartment of Applied Computing and Engineering, School of Technologies, Cardiff Metropolitan University, Western Avenue, Cardiff, CF5 2YB, United Kingdom. Electronic address: malavi@cardiffmet.ac.uk.
Stephan M GoetzDepartment of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, United Kingdom; Department of Psychiatry and Behavioral Sciences, Duke University, 40 Duke Medicine Circle, Durham, NC 27710, North Carolina, USA. Electronic address: smg84@cam.ac.uk.

Funding

Biology and Biophysics of the Cortical Response to Transcranial Magnetic StimulationR01NS117405 · NINDS · DUKE UNIVERSITY · PI PETERCHEV, ANGEL V, SOMMER, MARC A · 2020 to 2024
$3.3M
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 MH124943NINDS NIH HHS R01 NS117405
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40220955
PMCPMC12378993

What OpenQuestion holds

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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.