Dosing Transcranial Magnetic Stimulation of the Primary Motor and Dorsolateral Prefrontal Cortices With Multi-Scale Modeling.

dorsolateral prefrontal cortex electric field multi-scale modeling primary motor cortex repetitive transcranial magnetic stimulation transcranial magnetic stimulation

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2022
Historique:
received: 27 04 2022
accepted: 27 05 2022
entrez: 28 7 2022
pubmed: 29 7 2022
medline: 29 7 2022
Statut: epublish

Résumé

Transcranial magnetic stimulation (TMS) can depolarize cortical neurons through the intact skin and skull. The characteristics of the induced electric field (E-field) have a major impact on specific outcomes of TMS. Using multi-scale computational modeling, we explored whether the stimulation parameters derived from the primary motor cortex (M1) induce comparable macroscopic E-field strengths and subcellular/cellular responses in the dorsolateral prefrontal cortex (DLPFC). To this aim, we calculated the TMS-induced E-field in 16 anatomically realistic head models and simulated the changes in membrane voltage and intracellular calcium levels of morphologically and biophysically realistic human pyramidal cells in the M1 and DLPFC. We found that the conventional intensity selection methods (i.e., motor threshold and fixed intensities) produce variable macroscopic E-fields. Consequently, it was challenging to produce comparable subcellular/cellular responses across cortical regions with distinct folding characteristics. Prospectively, personalized stimulation intensity selection could standardize the E-fields and the subcellular/cellular responses to repetitive TMS across cortical regions and individuals. The suggested computational approach points to the shortcomings of the conventional intensity selection methods used in clinical settings. We propose that multi-scale modeling has the potential to overcome some of these limitations and broaden our understanding of the neuronal mechanisms for TMS.

Identifiants

pubmed: 35898411
doi: 10.3389/fnins.2022.929814
pmc: PMC9309210
doi:

Types de publication

Journal Article

Langues

eng

Pagination

929814

Informations de copyright

Copyright © 2022 Turi, Hananeia, Shirinpour, Opitz, Jedlicka and Vlachos.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Zsolt Turi (Z)

Department of Neuroanatomy, Faculty of Medicine, Institute of Anatomy and Cell Biology, University of Freiburg, Freiburg, Germany.

Nicholas Hananeia (N)

Faculty of Medicine, Interdisciplinary Centre for 3Rs in Animal Research, Justus-Liebig-University, Giessen, Germany.

Sina Shirinpour (S)

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.

Alexander Opitz (A)

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.

Peter Jedlicka (P)

Faculty of Medicine, Interdisciplinary Centre for 3Rs in Animal Research, Justus-Liebig-University, Giessen, Germany.

Andreas Vlachos (A)

Department of Neuroanatomy, Faculty of Medicine, Institute of Anatomy and Cell Biology, University of Freiburg, Freiburg, Germany.
Center BrainLinks-BrainTools, University of Freiburg, Freiburg, Germany.
Center for Basics in Neuromodulation, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Classifications MeSH