Evidence map›Paper›PMID 36599389›Full record

ArticleNeuroImage2023

Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity.

Takfarinas Medani, Juan Garcia-Prieto, Francois Tadel, Marios Antonakakis, Tim Erdbrügger, Malte Höltershinken, Wayne Mead, Sophie Schrader, Anand Joshi, Christian Engwer and 3 more

Abstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  15. [Fontanel compensation for infant electroencephalography forward modeling method].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
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  19. A survey on integral equations for bioelectric modeling.Physics in medicine and biology · 2024
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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

13 authors.

Takfarinas MedaniMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, United States. Electronic address: medani@usc.edu.
Juan Garcia-PrietoAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States; Harvard Medical School, Boston, Massachusetts, United States. Electronic address: juangpc@gmail.com.
Francois TadelMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, United States.
Marios AntonakakisInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany; School of Electrical and Computer Engineering, Technical University of Crete, Greece.
Tim ErdbrüggerInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.
Malte HöltershinkenInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.
Wayne MeadDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Sophie SchraderInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany; Department of Applied Mathematics, University of Münster, Germany.
Anand JoshiMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, United States.
Christian EngwerDepartment of Applied Mathematics, University of Münster, Germany.
Carsten H WoltersInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany.
John C MosherDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Richard M LeahyMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, United States.

Funding

Device-Independent Acquisition and Real Time Spatiotemporal Analysis of Clinical Electrophysiology DataU01EB023820 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI MOSHER, JOHN COMPTON, OKADA, YOSHIO · 2017 to 2021
$5.8M
BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
Tools for Large-Scale Platform-Independent MEG Data AnalysisR01EB009048 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI HAMALAINEN, MATTI, LEAHY, RICHARD M · 2009 to 2016
$4.6M
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG DatasetsR01NS104585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MATTI HAMALAINEN · 2018 to 2026
$4.3M
NIBIB NIH HHS R01 EB009048NIBIB NIH HHS R01 EB026299NIBIB NIH HHS U01 EB023820NINDS NIH HHS R01 NS074980NINDS NIH HHS R01 NS104585
6 · The paper itself

Abstract

Human brain activity generates scalp potentials (electroencephalography - EEG), intracranial potentials (iEEG), and external magnetic fields (magnetoencephalography - MEG). These electrophysiology (e-phys) signals can often be measured simultaneously for research and clinical applications. The forward problem involves modeling these signals at their sensors for a given equivalent current dipole configuration within the brain. While earlier researchers modeled the head as a simple set of isotropic spheres, today's magnetic resonance imaging (MRI) data allow for a detailed anatomic description of brain structures and anisotropic characterization of tissue conductivities. We present a complete pipeline, integrated into the Brainstorm software, that allows users to automatically generate an individual and accurate head model based on the subject's MRI and calculate the electromagnetic forward solution using the finite element method (FEM). The head model generation is performed by integrating the latest tools for MRI segmentation and FEM mesh generation. The final head model comprises the five main compartments: white-matter, gray-matter, CSF, skull, and scalp. The anisotropic brain conductivity model is based on the effective medium approach (EMA), which estimates anisotropic conductivity tensors from diffusion-weighted imaging (DWI) data. The FEM electromagnetic forward solution is obtained through the DUNEuro library, integrated into Brainstorm, and accessible with either a user-friendly graphical interface or scripting. With tutorials and example data sets available in an open-source format on the Brainstorm website, this integrated pipeline provides access to advanced FEM tools for electromagnetic modeling to a broader neuroscience community.

Indexed as

BrainHeadBrain MappingElectric ConductivityElectroencephalographyFinite Element AnalysisHumansMagnetoencephalographyModels, NeurologicalScalpBrainstormDUNEuroEEG/MEG/SEEGElectrophysiologyFinite element methodForward modelHead modeling

Identifiers

PMID36599389
PMCPMC9904282

What OpenQuestion holds

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LicenceCC BY
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.