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Selective recruitment of cortical neurons by electrical stimulation

Despite its critical importance in experimental and clinical neuroscience, at present there is no systematic method to predict which neural elements will be activated by a given stimulation regime. Here we develop a novel approach to model the effect of cortical stimulation on spiking probability of...

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Autores principales: Komarov, Maxim, Malerba, Paola, Golden, Ryan, Nunez, Paul, Halgren, Eric, Bazhenov, Maxim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742409/
https://www.ncbi.nlm.nih.gov/pubmed/31449517
http://dx.doi.org/10.1371/journal.pcbi.1007277
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author Komarov, Maxim
Malerba, Paola
Golden, Ryan
Nunez, Paul
Halgren, Eric
Bazhenov, Maxim
author_facet Komarov, Maxim
Malerba, Paola
Golden, Ryan
Nunez, Paul
Halgren, Eric
Bazhenov, Maxim
author_sort Komarov, Maxim
collection PubMed
description Despite its critical importance in experimental and clinical neuroscience, at present there is no systematic method to predict which neural elements will be activated by a given stimulation regime. Here we develop a novel approach to model the effect of cortical stimulation on spiking probability of neurons in a volume of tissue, by applying an analytical estimate of stimulation-induced activation of different cell types across cortical layers. We utilize the morphology and properties of axonal arborization profiles obtained from publicly available anatomical reconstructions of the twelve main categories of neocortical neurons to derive the dependence of activation probability on cell type, layer and distance from the source. We then propagate this activity through the local network incorporating connectivity, synaptic and cellular properties. Our work predicts that (a) intracranial cortical stimulation induces selective activation across cell types and layers; (b) superficial anodal stimulation is more effective than cathodal at cell activation; (c) cortical surface stimulation focally activates layer I axons, and (d) there is an optimal stimulation intensity capable of eliciting cell activation lasting beyond the end of stimulation. We conclude that selective effects of cortical electrical stimulation across cell types and cortical layers are largely driven by their different axonal arborization and myelination profiles.
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spelling pubmed-67424092019-09-20 Selective recruitment of cortical neurons by electrical stimulation Komarov, Maxim Malerba, Paola Golden, Ryan Nunez, Paul Halgren, Eric Bazhenov, Maxim PLoS Comput Biol Research Article Despite its critical importance in experimental and clinical neuroscience, at present there is no systematic method to predict which neural elements will be activated by a given stimulation regime. Here we develop a novel approach to model the effect of cortical stimulation on spiking probability of neurons in a volume of tissue, by applying an analytical estimate of stimulation-induced activation of different cell types across cortical layers. We utilize the morphology and properties of axonal arborization profiles obtained from publicly available anatomical reconstructions of the twelve main categories of neocortical neurons to derive the dependence of activation probability on cell type, layer and distance from the source. We then propagate this activity through the local network incorporating connectivity, synaptic and cellular properties. Our work predicts that (a) intracranial cortical stimulation induces selective activation across cell types and layers; (b) superficial anodal stimulation is more effective than cathodal at cell activation; (c) cortical surface stimulation focally activates layer I axons, and (d) there is an optimal stimulation intensity capable of eliciting cell activation lasting beyond the end of stimulation. We conclude that selective effects of cortical electrical stimulation across cell types and cortical layers are largely driven by their different axonal arborization and myelination profiles. Public Library of Science 2019-08-26 /pmc/articles/PMC6742409/ /pubmed/31449517 http://dx.doi.org/10.1371/journal.pcbi.1007277 Text en © 2019 Komarov et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Komarov, Maxim
Malerba, Paola
Golden, Ryan
Nunez, Paul
Halgren, Eric
Bazhenov, Maxim
Selective recruitment of cortical neurons by electrical stimulation
title Selective recruitment of cortical neurons by electrical stimulation
title_full Selective recruitment of cortical neurons by electrical stimulation
title_fullStr Selective recruitment of cortical neurons by electrical stimulation
title_full_unstemmed Selective recruitment of cortical neurons by electrical stimulation
title_short Selective recruitment of cortical neurons by electrical stimulation
title_sort selective recruitment of cortical neurons by electrical stimulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742409/
https://www.ncbi.nlm.nih.gov/pubmed/31449517
http://dx.doi.org/10.1371/journal.pcbi.1007277
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