Evidence map›Paper›PMID 42327195›Full record

ArticlebioRxiv : the preprint server for biology2026

Histologically Informed Multiscale Modeling of the Neuronal Elements Activated by TMS.

Torge H Worbs, Jesper D Nielsen, Boshuo Wang, John W Hansen, Warren M Grill, Angel V Peterchev, Axel Thielscher

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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. Review
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.

Torge H WorbsSection for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs Lyngby, Denmark.ORCID 0009-0004-0187-6108
Jesper D NielsenSection for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs Lyngby, Denmark.ORCID 0000-0003-3697-1012
Boshuo WangDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, NC, USA.ORCID 0000-0003-1680-5957
John W HansenSection for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs Lyngby, Denmark.
Warren M GrillDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.ORCID 0000-0001-5240-6588
Angel V PeterchevDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, NC, USA.ORCID 0000-0002-4385-065X
Axel ThielscherSection for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs Lyngby, Denmark.ORCID 0000-0002-4752-5854

Funding

Engineering the Neuronal Response to Electrical MicrostimulationU01NS126052 · NINDS · UNIVERSITY OF FLORIDA · PI ORAZEM, MARK E., OTTO, KEVIN J. · 2022 to 2025
$4.3M
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
NeuroSimNIBS: Integrated electric field and neuronal response modeling for transcranial electric and magnetic stimulationR01MH128422 · NIMH · DUKE UNIVERSITY · PI Warren M. Grill, Angel V Peterchev · 2022 to 2026
$2.7M
NIMH NIH HHS R01 MH128422NINDS NIH HHS R01 NS117405NINDS NIH HHS U01 NS126052
6 · The paper itself

Abstract

Background: The primary neural site(s) at which action potentials are initiated by transcranial magnetic stimulation (TMS) remain poorly understood. Multiscale computational models provide biophysically based hypotheses, but model accuracy is constrained by limited histological knowledge of the microscopic organization of neural tissue. Recent high-resolution electron microscopy, in particular the petavoxel H01 dataset, provides novel, detailed axon morphologies and myelination patterns within the human cortex and superficial white matter. Objective: To compare systematically multiple candidates for the neural elements activated by TMS using computer simulations informed by an extensive body of histological measurements, including neuron models directly reconstructed from the H01 dataset. Methods: We developed a novel modeling pipeline to extract individual morphologically realistic multi-compartment models with exact myelination from serial section electron microscopic segmentations. To assess candidate excitation sites, we simulated the extracted neuron models together with parameterized models of a "ball-and-two-sticks", bifurcation, termination, and bend under uniform electric fields. In addition, smooth and sharply bending myelinated axons were embedded in a realistic human head model to evaluate activation thresholds under anatomically realistic electric field distributions. Results: Axon terminations were only excitable by TMS when they were fully myelinated, which the histology suggested is unlikely. Partial myelination, even when separated by only 10 μm from the terminal, increased activation thresholds by more than 100%. Reconstructed H01 neurons exhibited correspondingly high activation thresholds at axon terminals due to a lack of myelination. Further, most other candidate structures exhibited low thresholds only for histologically unrealistic parameter choices. In contrast, myelinated axonal bends of fibers transitioning from cortex to superficial white matter consistently showed low activation thresholds for both uniform electric fields and in realistic head model simulations. These thresholds fell within physiologically realistic ranges and, for larger diameter fibers, approached experimentally measured motor thresholds. Conclusion: These results identify myelinated axons bending from cortex into superficial white matter as possible neural targets for transcranial magnetic stimulation, and demonstrate the relevance of detailed histological and biophysical information to support robust modeling results.

Identifiers

PMID42327195
PMCPMC13277912

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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.