Dataset Information

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

ABSTRACT:

Background

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.

SUBMITTER: Schmid W

PROVIDER: S-EPMC11233030 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature

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Publications

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

Schmid William W Danstrom Isabel A IA Crespo Echevarria Maria M Adkinson Joshua J Mattar Layth L Banks Garrett P GP Sheth Sameer A SA Watrous Andrew J AJ Heilbronner Sarah R SR Bijanki Kelly R KR Alabastri Alessandro A Bartoli Eleonora E

Journal of neuroscience methods 20240305

<h4>Background</h4>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 ...[more]

PMID: 38453060

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Dataset Information

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

Background

New method

Results

Comparison with existing method

Conclusions

Publications

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

Similar Datasets

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