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An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control
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Courson, Juliette, Quoy, Mathias, Timofeeva, Yulia and Manos, Thanos (2024) An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control. Frontiers in Computational Neuroscience, 18 . 1360009. doi:10.3389/fncom.2024.1360009 ISSN 1662-5188.
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Official URL: http://doi.org/10.3389/fncom.2024.1360009
Abstract
Mean-field models have been developed to replicate key features of epileptic seizure dynamics. However, the precise mechanisms and the role of the brain area responsible for seizure onset and propagation remain incompletely understood. In this study, we employ computational methods within The Virtual Brain framework and the Epileptor model to explore how the location and connectivity of an Epileptogenic Zone (EZ) in a mouse brain are related to focal seizures (seizures that start in one brain area and may or may not remain localized), with a specific focus on the hippocampal region known for its association with epileptic seizures. We then devise computational strategies to confine seizures (prevent widespread propagation), simulating medical-like treatments such as tissue resection and the application of an anti-seizure drugs or neurostimulation to suppress hyperexcitability. Through selectively removing (blocking) specific connections informed by the structural connectome and graph network measurements or by locally reducing outgoing connection weights of EZ areas, we demonstrate that seizures can be kept constrained around the EZ region. We successfully identified the minimal connections necessary to prevent widespread seizures, with a particular focus on minimizing surgical or medical intervention while simultaneously preserving the original structural connectivity and maximizing brain functionality.
Item Type: | Journal Article | ||||||||||||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QP Physiology R Medicine > RC Internal medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Computational neuroscience, Neural networks (Neurobiology), Epilepsy -- Diagnosis -- Computer simulation, Brain-computer interfaces, Epilepsy -- Animal models , Brain -- Imaging | ||||||||||||||||||
Journal or Publication Title: | Frontiers in Computational Neuroscience | ||||||||||||||||||
Publisher: | Frontiers Research Foundation | ||||||||||||||||||
ISSN: | 1662-5188 | ||||||||||||||||||
Official Date: | 26 February 2024 | ||||||||||||||||||
Dates: |
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Volume: | 18 | ||||||||||||||||||
Article Number: | 1360009 | ||||||||||||||||||
DOI: | 10.3389/fncom.2024.1360009 | ||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||||||||
Date of first compliant deposit: | 4 March 2024 | ||||||||||||||||||
Date of first compliant Open Access: | 5 March 2024 | ||||||||||||||||||
RIOXX Funder/Project Grant: |
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