Modeling subcortical white matter stimulation
Dali, M.; Goldman, J. S.; Pantz, O.; Destexhe, A.; Mandonnet, E.
Show abstract
ObjectiveIntracranial electrical stimulation of subcortical axonal tracts is particularly useful during brain surgery, where mapping helps identify and excise dysfunctional tissue while avoiding damage to functional structures. Stimulation parameters are generally set empirically and consequences for the spatial recruitment of axons within subcortical tracts are not well identified. ApproachComputational modeling is employed to study the effects of stimulation parameters on the recruitment of axons: monophasic versus biphasic stimuli induced with monopolar versus bipolar electrodes, oriented orthogonal or parallel to the tract, for isotropic and anisotropic tracts. Main resultsThe area and depth of axonal activation strongly depend on tissue conductivity and electrode parameters. The largest activation area results from biphasic stimulation with bipolar electrodes oriented orthogonal to axonal fasciculi, for anisotropic and especially isotropic tracts. For anisotropic tracts, the maximal activation depth is similar regardless of whether a monopolar or bipolar electrode is employed. For isotropic tracts, bipolar parallel and monopolar stimulation activate axons deeper than orthogonal bipolar stimulation. Attention is warranted during monophasic stimulation: a blockade of action potentials immediately under cathodes and a propagation of action potentials under anodes are found. SignificanceConsidering the spatial patterns of blockade and activation present during monophasic stimulation with both monopolar and bipolar electrodes, biphasic stimulation is recommended to explore subcortical axon responses during intraoperative mapping. Finally, the precise effect of electrical stimulation depends on conductivity profiles of tracts, and as such, should be explicitly considered for each individual subject and tract undergoing intracranial mapping.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Impact of galvanic vestibular stimulation electrode current density on brain current flow patterns: Does electrode size matter? 97%
- Optimal sigmoid function models for analysis of transspinal evoked potential recruitment curves recorded from different muscles 95%
- Comparison of TENS electrodes and textile electrodes for electrocutaneous warning 94%
Similar papers in this journal
- Non-invasive stimulation with Temporal Interference: Optimization of the electric field deep in the brain with the use of a genetic algorithm 97%
- Computational modeling of dorsal root ganglion stimulation using an Injectrode 95%
- Statistical Characterization of Cortical-Thalamic Dynamics Evoked by Cortical Stimulation in Mice 95%
Similar papers in this journal
- Multimodal sensorimotor integration of visual and kinaesthetic afferents modulates motor circuits in humans 95%
- Computational modeling of the photon transport, tissue heating, and cytochrome C oxidase absorption during transcranial near-infrared stimulation 93%
- Modulation of motor cortex plasticity by repetitive paired-pulse TMS at late I-wave intervals is influenced by intracortical excitability 92%
Similar papers in this journal
- Individual head models for estimating the TMS-induced electric field in rat brain 93%
- Group and Individual Level Variations between Symmetric and Asymmetric DLPFC Montages for tDCS over Large Scale Brain Network Nodes 92%
- Automated methodology for optimal selection of the minimum electrode subset for accurate EEG source estimation based on Genetic Algorithm optimization 92%
Similar papers in this journal
- SC10X/U: A High-density Electrode System for Non-Invasive Recording of Neural Activity of the Cervical Spinal Cord 95%
- Probing the orientation specificity of excitatory and inhibitory circuitries in the primary motor cortex with multi-channel TMS 94%
- Three montages for Transcranial Electric Stimulation in predicting the early post-surgery outcome of the facial nerve functioning 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.