Evidence map›Paper›PMID 40950103›Full record

ArticlebioRxiv : the preprint server for biology2025

Simulation of evoked responses to transcranial magnetic stimulation using a multiscale cortical circuit model.

Zhihe Zhao, Aman S Aberra, Alexander Opitz

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 · Who and what money

Authors and funding

3 authors.

Zhihe ZhaoDepartment of Biomedical Engineering, University of Minnesota, MN.ORCID 0009-0009-6866-8027
Aman S AberraDepartment of Biological Sciences, Dartmouth College, NH.ORCID 0000-0002-4805-541X
Alexander OpitzDepartment of Biomedical Engineering, University of Minnesota, MN.

Funding

CRCNS Research Proposal: Collaborative Research: US-German Collaboration toward a biophysically principled network model of transcranial magnetic stimulation (TMS)R01EB034143 · NIBIB · UNIVERSITY OF MINNESOTA · PI Alexander Opitz, Gillian Queisser · 2022 to 2026
$1.5M
NIBIB NIH HHS R01 EB034143
6 · The paper itself

Abstract

Background: Transcranial magnetic stimulation (TMS) is a widely used non-invasive brain stimulation technique, but the neural circuits activated by TMS remain poorly understood. Previous modeling approaches have been limited to either simplified point-neuron networks or isolated single-cell models that lack synaptic connectivity. Objective: To develop and validate a multiscale cortical circuit model that integrates morphologically-realistic neurons with accurate TMS-induced electric field distributions and to investigate mechanisms underlying cortical responses to stimulation. Methods: We constructed a network model of a cortical column comprising 10,000 biophysically realistic neurons (excitatory pyramidal cells and inhibitory interneurons) across layers 2/3, 5, and 6 with over 10 million synaptic connections. The model incorporated thalamic and non-specific corticocortical inputs to generate physiological firing rates. TMS-induced electric fields were calculated using finite element modeling and coupled to individual neurons through the extracellular mechanism. We validated model predictions against experimental recordings of TMS-evoked local field potentials (LFPs) and multiunit activity. Results: The model reproduced key experimental observations including the dose-dependent N50 LFP component and multiphasic multi-unit responses, consisting of an (excitatory) increase followed by a (inhibitory) decrease in firing rates. The early excitatory response exhibited dual-peak dynamics reflecting distinct contributions from directly and indirectly activated neuronal populations, and the subsequent inhibitory phase reflected activation of feedback GABAergic circuits through both GABA Conclusion: This validated multiscale model provides mechanistic insights into TMS-evoked cortical dynamics, demonstrating how direct neuronal activation cascades through synaptic networks to generate characteristic population responses. The framework establishes a computational platform for optimizing stimulation protocols in research and clinical applications.

Indexed as

Motor cortexNeuronal network modelsSimulationTranscranial magnetic stimulation

Identifiers

PMID40950103
PMCPMC12424720

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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.