Evidence map›Paper›PMID 41839364›Full record

ArticleBrain stimulation

Electric and magnetic field characteristics of the Re5 brain stimulation system.

Dexuan Tang, Zhi-De Deng, Aapo Nummenmaa, Reinhold Ludwig, Gregory Noetscher, Sergey Makaroff, Gustav Bizik

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. 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

7 authors.

Dexuan TangDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA. Electronic address: dtang2@wpi.edu.
Zhi-De DengComputational Neurostimulation Research Program, Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, NIMH, National Institute of Health, Bethesda, MD, USA.
Aapo NummenmaaAthinoula A. Martinos Ctr. for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Reinhold LudwigDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Gregory NoetscherDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Sergey MakaroffDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA; Athinoula A. Martinos Ctr. for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Gustav BizikDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark; Aalborg University Hospital, Department of Psychiatry, Aalborg, Denmark.

Funding

Charge-Based Brain Modeling Engine with Boundary Element Fast Multipole MethodR01MH130490 · NIMH · WORCESTER POLYTECHNIC INSTITUTE · PI Sergey N Makaroff · 2023 to 2026
$3.3M
CRSNS: Development of EEG/MEG Source Reconstruction with Fast Multipole MethodR01EB035484 · NIBIB · WORCESTER POLYTECHNIC INSTITUTE · PI Sergey N Makaroff · 2023 to 2026
$777k
Brain and Human Body Modeling Conference – from Fast and Accurate Computational Modeling to Clinical PracticeR13MH127866 · NIMH · WORCESTER POLYTECHNIC INSTITUTE · PI MAKAROFF, SERGEY N · 2021 to 2022
$20k
NIBIB NIH HHS R01 EB035484NIMH NIH HHS R01 MH130490NIMH NIH HHS R13 MH127866
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Alternative forms of brain stimulationBEM-FMM (Boundary Element Fast Multipole Method)Low intensity TMSRe5-NTS (Neuro Treatment System)Subthreshold magnetic brain stimulationTMS (Transcranial Magnetic Stimulation)t-PEMF (transcranial Pulsating ElectroMagnetic Field)

Identifiers

PMID41839364
PMCPMC13103953

What OpenQuestion holds

Textmetadata
LicenceTDM
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.