Evidence map›Paper›PMID 39710004›Full record

ArticleBrain stimulation

Enabling electric field model of microscopically realistic brain.

Zhen Qi, Gregory M Noetscher, Alton Miles, Konstantin Weise, Thomas R Knösche, Cameron R Cadman, Alina R Potashinsky, Kelu Liu, William A Wartman, Guillermo Nunez Ponasso and 5 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Zhen QiDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Gregory M NoetscherDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA. Electronic address: gregn@wpi.edu.
Alton MilesDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Konstantin WeiseMax Planck Inst. for Human Cognitive and Brain Sciences, Leipzig, Germany; Leipzig University of Applied Sciences (HTWK), Faculty of Engineering, Leipzig, Germany.
Thomas R KnöscheMax Planck Inst. for Human Cognitive and Brain Sciences, Leipzig, Germany.
Cameron R CadmanDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Alina R PotashinskyDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Kelu LiuDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
William A WartmanDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Guillermo Nunez PonassoDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.
Marom BiksonDepartment of Biomedical Engineering, The City College of New York, New York, NY, USA.
Hanbing LuNeuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Zhi-De DengComputational Neurostimulation Research Program, Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Aapo R NummenmaaAthinoula A. Martinos Ctr. for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Sergey N MakaroffDepartment of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA; Department of Mathematical Sciences, Worcester Polytechnic Inst., Worcester, MA, USA.

Funding

Non-invasive Neuromodulation Unit (NNU)ZIAMH002955 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2016 to 2025
$40.3M
Neuroimaging of preclinical models of substance use disordersZIADA000638 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI YANG, YIHONG · 2021 to 2025
$12.5M
Virtual Observatory of the Cortex: Organelles, Cells, Circuits, and DynamicsU24NS120053 · NINDS · ALLEN INSTITUTE · PI Forrest Christie Collman, Nuno Macarico da Costa · 2022 to 2026
$6.1M
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
CRCNS: Multifocal causal mapping of brain networks supporting human cognitionR01DC020891 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI NUMMENMAA, AAPO · 2022 to 2024
$756k
Intramural NIH HHS ZIA DA000638Intramural NIH HHS ZIA MH002955NIBIB NIH HHS R01 EB035484NIDCD NIH HHS R01 DC020891NIMH NIH HHS R01 MH130490NINDS NIH HHS U24 NS120053
6 · The paper itself

Abstract

backgroundModeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities.

objectiveWe present the largest map to date of extracellular electric field distributions within a layer L2/L3 mouse primary visual cortex brain sample. This was enabled by the automated analysis of serial section electron microscopy images with improved handling of image defects, covering a volume of 250 × 140 × 90 μm³.

methodsThe map was obtained by applying a uniform brain stimulation electric field at three different polarizations and accurately computing microscopic field perturbations using the boundary element fast multipole method. We used the map to identify the effect of microscopic field perturbations on the activation thresholds of individual neurons. Previous relevant studies modeled a macroscopically homogeneous cortical volume.

resultOur result shows that the microscopic field perturbations - an 'electric field spatial noise' with a mean value of zero - only modestly influence the macroscopically predicted stimulation field strengths necessary for neuronal activation. The thresholds do not change by more than 10 % on average.

conclusionUnder the stated limitations and assumptions of our method, this result essentially justifies the conventional theory of "invisible" neurons embedded in a macroscopic brain model for transcranial magnetic and transcranial electrical stimulation. However, our result is solely sample-specific and is only relevant to this relatively small sample with 396 neurons. It largely neglects the effect of the microcapillary network. Furthermore, we only considered the uniform impressed field and a single-pulse stimulation time course.

Indexed as

BrainBrain MappingModels, NeurologicalPrimary Visual CortexAnimalsElectric StimulationMiceMice, Inbred C57BLMicroscopy, ElectronNeuronsBiophysical modelingBoundary element fast multipole method (BEM-FMM)Brain modeling at the microscopic scaleBrain stimulationElectric field spatial noiseMultiscale brain modelingSignificance statement

Identifiers

PMID39710004
PMCPMC11867869

What OpenQuestion holds

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Registered trials

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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.