ArticleJournal of neuroscience methods2024
A biophysically constrained brain connectivity model based on stimulation-evoked potentials.
Article in Journal of neuroscience methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Conserved fiber topography of the anterior limb of the internal capsule in treatment-resistant psychiatric patients.bioRxiv : the preprint server for biology · 2026Article
- Cortico-cortical evoked potentials: Analytical techniques and emerging paradigms for epileptogenic zone localization.Epilepsia · 2025Review
- Proper reference selection and re-referencing to mitigate bias in single pulse electrical stimulation data.Journal of neuroscience methods · 2025Article
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12 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSingle-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
methodUsing 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.
resultsThe 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
methodExisting methods for estimating neural signal pathways are imaging-based and thus rely on anatomical inferences.
conclusionsThese 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.
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