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STIMULUS: Noninvasive Dynamic Patterns of Neurostimulation using Spatio-Temporal Interference

Jiaming Cao, View ORCID ProfilePulkit Grover
doi: https://doi.org/10.1101/216622
Jiaming Cao
Carnegie Mellon University
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Pulkit Grover
Carnegie Mellon University
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  • ORCID record for Pulkit Grover
  • For correspondence: pgrover@andrew.cmu.edu
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Abstract

Using a systematic computational and modeling framework, we provide a novel Spatio-Temporal Interference-based stiMULation focUsing Strategy (STIMULUS) for high spatial precision noninvasive neurostimulation deep inside the brain. To do so, we first replicate the results of the recently proposed temporal interference (TI) stimulation (which was only tested in-vivo) in a computational model based on a Hodgkin-Huxley model for neurons and a model of current dispersion in the head. Using this computational model, we obtain a nontrivial extension of the 2-electrode-pair TI proposed originally to multielectrode TI (>2 electrode pairs) that yields significantly higher spatial precision. To further improve precision, we develop STIMULUS techniques for generating spatial interference patterns in conjunction with temporal interference, and demonstrate strict and significant improvements over multielectrode TI. Finally, we utilize the adaptivity that is inherent in STIMULUS to create multisite neurostimulation patterns that can be dynamically steered over time.

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The copyright holder for this preprint is the author/funder. It is made available under a CC-BY-NC 4.0 International license.
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  • Posted November 9, 2017.

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STIMULUS: Noninvasive Dynamic Patterns of Neurostimulation using Spatio-Temporal Interference
Jiaming Cao, Pulkit Grover
bioRxiv 216622; doi: https://doi.org/10.1101/216622
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STIMULUS: Noninvasive Dynamic Patterns of Neurostimulation using Spatio-Temporal Interference
Jiaming Cao, Pulkit Grover
bioRxiv 216622; doi: https://doi.org/10.1101/216622

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