Evidence map›Paper›PMID 39521381›Full record

ArticleBrain stimulation

An open-source user interface for real-time ultra-fast solving of electric fields around segmented deep brain stimulation electrodes.

Kaylee R Henry, Mark Ingersoll, William Wartman, Fuchang Jiang, Dexuan Tang, Laleh Golestanirad, Sergey N Makaroff

Abstract readLetter
PubMed Full text at PMC Publisher
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.

Kaylee R HenryDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA. Electronic address: kaylee.henry@northwestern.edu.
Mark IngersollDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
William WartmanDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
Fuchang JiangDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA.
Dexuan TangDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
Laleh GolestaniradDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Radiology, Northwestern University, Chicago, IL, 60611, USA.
Sergey N MakaroffDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, 01609, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA; Department of Mathematics, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.

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
Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3TR01EB030324 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GOLESTANI RAD, LALEH · 2021 to 2024
$2.1M
CRSNS: Development of EEG/MEG Source Reconstruction with Fast Multipole MethodR01EB035484 · NIBIB · WORCESTER POLYTECHNIC INSTITUTE · PI Sergey N Makaroff · 2023 to 2026
$777k
NIBIB NIH HHS R01 EB030324NIBIB NIH HHS R01 EB035484NIMH NIH HHS R01 MH130490
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ApplicationBoundary element fast multipole method (BEM-FMM)Deep brain stimulation (DBS)Segmented DBS leadSimulationUser interfaceValidation

Identifiers

PMID39521381
PMCPMC11972694

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.