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Electrical pathways through the intricate network of skeletal muscle fibres : insights from MRI-validated numerical modeling
ID Šmerc, Rok (Author), ID Stručić, Marko (Author), ID Kranjc, Matej (Author), ID Serša, Igor (Author), ID Miklavčič, Damijan (Author), ID Mahnič-Kalamiza, Samo (Author)

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Abstract
Objective: Skeletal muscles exhibit pronounced anisotropy due to their highly oriented fibre structure, a property that significantly influences the spatial distribution of tissue mechanical and electrical properties. Understanding this anisotropy is critical for advancing biomedical applications such as electrical stimulation, bioelectric impedance analysis, and novel therapeutic interventions such as pulsed field ablation (PFA). Methods: We developed a numerical model incorporating realistic skeletal muscle fibre geometry at the microscale to elucidate the origins of the experimentally observed anisotropy at the bulk tissue level. To validate the model, we evaluated the skeletal muscle anisotropy using current density imaging (CDI), a magnetic resonance-based technique. Results: The developed numerical model identifies the origins of the observed anisotropy in bulk tissue. Experimental CDI measurements validate the model, confirming that the observed current anisotropy arises from the intrinsic properties of individual muscle fibres and their organization within the tissue. Remarkably, this anisotropy persists several – even up to 48 – hours post-mortem, suggesting a structural basis that transcends the level of muscle cell membranes. Conclusion: The integration of CDI with advanced modelling provides a powerful framework for understanding and leveraging skeletal muscle anisotropy in both imaging and therapeutic applications. Significance: Our study provides an experimentally validated model of skeletal muscle that is relevant to biomedical applications involving electrical treatments. It also invites further experimentation using tissues immediately after harvesting, demonstrating potential use of ex vivo tissues as models of in vivo tissue, reducing the need for experimentation with live animals and the associated ethical burden.

Language:English
Keywords:current density magnetic resonance imaging, current density distribution, ex vivo animal tissue, numerical modelling, skeletal muscle anisotropy
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:Str. 3535-3545
Numbering:Vol. 72, no. 12
PID:20.500.12556/RUL-177376 This link opens in a new window
UDC:602.621
ISSN on article:0018-9294
DOI:10.1109/TBME.2025.3572353 This link opens in a new window
COBISS.SI-ID:261596675 This link opens in a new window
Publication date in RUL:22.12.2025
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Downloads:3
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Record is a part of a journal

Title:IEEE transactions on bio-medical engineering
Shortened title:IEEE trans. biomed. eng.
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0018-9294
COBISS.SI-ID:4658186 This link opens in a new window

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:Slovenian
Keywords:magnetnoresonančno slikanje tokovne gostote, porazdelitev tokovne gostote, ex vivo živalsko tkivo, numerično modeliranje, anizotropija skeletnih mišic

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0249
Name:Elektroporacija v biologiji, biotehnologiji in medicini

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0060
Name:Eksperimentalna biofizika kompleksnih sistemov in slikanje v biomedicini

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:MRIC UL IP-0510
Name:Mreža raziskovalnih infrastrukturnih centrov
Acronym:MRIC UL

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:I0-0022
Name:Mreža raziskovalnih infrastrukturnih centrov Univerze v Ljubljani (MRIC UL)

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