A biophysically constrained brain connectivity model based on stimulation-evoked potentials.

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dc.citation.articleNumber110106en_US
dc.citation.journalTitleJournal of Neuroscience Methodsen_US
dc.citation.volumeNumber405en_US
dc.contributor.authorSchmid, Williamen_US
dc.contributor.authorDanstrom, Isabel A.en_US
dc.contributor.authorCrespo Echevarria, Mariaen_US
dc.contributor.authorAdkinson, Joshuaen_US
dc.contributor.authorMattar, Laythen_US
dc.contributor.authorBanks, Garrett P.en_US
dc.contributor.authorSheth, Sameer A.en_US
dc.contributor.authorWatrous, Andrew J.en_US
dc.contributor.authorHeilbronner, Sarah R.en_US
dc.contributor.authorBijanki, Kelly R.en_US
dc.contributor.authorAlabastri, Alessandroen_US
dc.contributor.authorBartoli, Eleonoraen_US
dc.date.accessioned2024-08-02T13:32:06Zen_US
dc.date.available2024-08-02T13:32:06Zen_US
dc.date.issued2024en_US
dc.description.abstractBackground Single-pulse electrical stimulation (SPES) is an established technique used to map functional effective connectivity networks in treatment-refractory epilepsy patients undergoing intracranial-electroencephalography monitoring. While the connectivity path between stimulation and recording sites has been explored through the integration of structural connectivity, there are substantial gaps, such that new modeling approaches may advance our understanding of connectivity derived from SPES studies. New method Using intracranial electrophysiology data recorded from a single patient undergoing stereo-electroencephalography (sEEG) evaluation, we employ an automated detection method to identify early response components, C1, from pulse-evoked potentials (PEPs) induced by SPES. C1 components were utilized for a novel topology optimization method, modeling 3D electrical conductivity to infer neural pathways from stimulation sites. Additionally, PEP features were compared with tractography metrics, and model results were analyzed with respect to anatomical features. Results The proposed optimization model resolved conductivity paths with low error. Specific electrode contacts displaying high error correlated with anatomical complexities. The C1 component strongly correlated with additional PEP features and displayed stable, weak correlations with tractography measures. Comparison with existing method Existing methods for estimating neural signal pathways are imaging-based and thus rely on anatomical inferences. Conclusions These results demonstrate that informing topology optimization methods with human intracranial SPES data is a feasible method for generating 3D conductivity maps linking electrical pathways with functional neural ensembles. PEP-estimated effective connectivity is correlated with but distinguished from structural connectivity. Modeled conductivity resolves connectivity pathways in the absence of anatomical priors.en_US
dc.identifier.citationSchmid, W., Danstrom, I. A., Crespo Echevarria, M., Adkinson, J., Mattar, L., Banks, G. P., Sheth, S. A., Watrous, A. J., Heilbronner, S. R., Bijanki, K. R., Alabastri, A., & Bartoli, E. (2024). A biophysically constrained brain connectivity model based on stimulation-evoked potentials. Journal of Neuroscience Methods, 405, 110106. https://doi.org/10.1016/j.jneumeth.2024.110106en_US
dc.identifier.digital1-s20-S0165027024000517-mainen_US
dc.identifier.doihttps://doi.org/10.1016/j.jneumeth.2024.110106en_US
dc.identifier.urihttps://hdl.handle.net/1911/117549en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution-NonCommercial (CC BY-NC) license.  Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.titleA biophysically constrained brain connectivity model based on stimulation-evoked potentials.en_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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