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Electromagnetic modeling within a microscopically realistic brain: Implications for brain stimulation

MPG-Autoren
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Weise,  Konstantin       
Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Knösche,  Thomas R.       
Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Zitation

Qi, Z., Noetscher, G. M., Miles, A., Weise, K., Knösche, T. R., Cadman, C. R., et al. (2024). Electromagnetic modeling within a microscopically realistic brain: Implications for brain stimulation. bioRxiv. doi:10.1101/2024.04.04.588004.


Zitierlink: https://hdl.handle.net/21.11116/0000-000F-2C7B-7
Zusammenfassung
Across all electrical stimulation (neuromodulation) domains, conventional analysis of cell polarization involves two discrete steps: i) prediction of macroscopic electric field, ignoring presence of cells and; ii) prediction of cell polarization from tissue electric fields. The first step assumes that electric current flow is not distorted by the dense tortuous network of cell structures. The deficiencies of this assumption have long been recognized, but – except for trivial geometries – ignored, because it presented intractable computation hurdles.

We leverage: i) recent electron microscopic images of the brain that have made it possible to reconstruct microscopic brain networks over relatively large volumes and; ii) a charge-based formulation of boundary element fast multipole method (BEM-FMM) to produce the first multiscale stimulations of realistic neuronal polarization by electrical stimulation that consider current flow distortions by a microstructure. The dataset under study is a 250×140×90 μm section of the L2/L3 mouse visual cortex with 396 tightly spaced neurite cells and 34 microcapillaries. We quantify how brain microstructure significantly distorts the primary macroscopic electric field. Although being very local, such distortions constructively accumulate along the neuronal arbor and reduce neuronal activating thresholds by 0.55-0.85-fold as compared to conventional theory.