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Realistic modeling of mesoscopic ephaptic coupling in the human brain

Several decades of research suggest that weak electric fields may influence neural processing, including those induced by neuronal activity and proposed as a substrate for a potential new cellular communication system, i.e., ephaptic transmission. Here we aim to model mesoscopic ephaptic activity in...

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Autores principales: Ruffini, Giulio, Salvador, Ricardo, Tadayon, Ehsan, Sanchez-Todo, Roser, Pascual-Leone, Alvaro, Santarnecchi, Emiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289436/
https://www.ncbi.nlm.nih.gov/pubmed/32479496
http://dx.doi.org/10.1371/journal.pcbi.1007923
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author Ruffini, Giulio
Salvador, Ricardo
Tadayon, Ehsan
Sanchez-Todo, Roser
Pascual-Leone, Alvaro
Santarnecchi, Emiliano
author_facet Ruffini, Giulio
Salvador, Ricardo
Tadayon, Ehsan
Sanchez-Todo, Roser
Pascual-Leone, Alvaro
Santarnecchi, Emiliano
author_sort Ruffini, Giulio
collection PubMed
description Several decades of research suggest that weak electric fields may influence neural processing, including those induced by neuronal activity and proposed as a substrate for a potential new cellular communication system, i.e., ephaptic transmission. Here we aim to model mesoscopic ephaptic activity in the human brain and explore its trajectory during aging by characterizing the electric field generated by cortical dipoles using realistic finite element modeling. Extrapolating from electrophysiological measurements, we first observe that modeled endogenous field magnitudes are comparable to those in measurements of weak but functionally relevant self-generated fields and to those produced by noninvasive transcranial brain stimulation, and therefore possibly able to modulate neuronal activity. Then, to evaluate the role of these fields in the human cortex in large MRI databases, we adapt an interaction approximation that considers the relative orientation of neuron and field to estimate the membrane potential perturbation in pyramidal cells. We use this approximation to define a simplified metric (EMOD1) that weights dipole coupling as a function of distance and relative orientation between emitter and receiver and evaluate it in a sample of 401 realistic human brain models from healthy subjects aged 16–83. Results reveal that ephaptic coupling, in the simplified mesoscopic modeling approach used here, significantly decreases with age, with higher involvement of sensorimotor regions and medial brain structures. This study suggests that by providing the means for fast and direct interaction between neurons, ephaptic modulation may contribute to the complexity of human function for cognition and behavior, and its modification across the lifespan and in response to pathology.
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spelling pubmed-72894362020-06-18 Realistic modeling of mesoscopic ephaptic coupling in the human brain Ruffini, Giulio Salvador, Ricardo Tadayon, Ehsan Sanchez-Todo, Roser Pascual-Leone, Alvaro Santarnecchi, Emiliano PLoS Comput Biol Research Article Several decades of research suggest that weak electric fields may influence neural processing, including those induced by neuronal activity and proposed as a substrate for a potential new cellular communication system, i.e., ephaptic transmission. Here we aim to model mesoscopic ephaptic activity in the human brain and explore its trajectory during aging by characterizing the electric field generated by cortical dipoles using realistic finite element modeling. Extrapolating from electrophysiological measurements, we first observe that modeled endogenous field magnitudes are comparable to those in measurements of weak but functionally relevant self-generated fields and to those produced by noninvasive transcranial brain stimulation, and therefore possibly able to modulate neuronal activity. Then, to evaluate the role of these fields in the human cortex in large MRI databases, we adapt an interaction approximation that considers the relative orientation of neuron and field to estimate the membrane potential perturbation in pyramidal cells. We use this approximation to define a simplified metric (EMOD1) that weights dipole coupling as a function of distance and relative orientation between emitter and receiver and evaluate it in a sample of 401 realistic human brain models from healthy subjects aged 16–83. Results reveal that ephaptic coupling, in the simplified mesoscopic modeling approach used here, significantly decreases with age, with higher involvement of sensorimotor regions and medial brain structures. This study suggests that by providing the means for fast and direct interaction between neurons, ephaptic modulation may contribute to the complexity of human function for cognition and behavior, and its modification across the lifespan and in response to pathology. Public Library of Science 2020-06-01 /pmc/articles/PMC7289436/ /pubmed/32479496 http://dx.doi.org/10.1371/journal.pcbi.1007923 Text en © 2020 Ruffini 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
Ruffini, Giulio
Salvador, Ricardo
Tadayon, Ehsan
Sanchez-Todo, Roser
Pascual-Leone, Alvaro
Santarnecchi, Emiliano
Realistic modeling of mesoscopic ephaptic coupling in the human brain
title Realistic modeling of mesoscopic ephaptic coupling in the human brain
title_full Realistic modeling of mesoscopic ephaptic coupling in the human brain
title_fullStr Realistic modeling of mesoscopic ephaptic coupling in the human brain
title_full_unstemmed Realistic modeling of mesoscopic ephaptic coupling in the human brain
title_short Realistic modeling of mesoscopic ephaptic coupling in the human brain
title_sort realistic modeling of mesoscopic ephaptic coupling in the human brain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289436/
https://www.ncbi.nlm.nih.gov/pubmed/32479496
http://dx.doi.org/10.1371/journal.pcbi.1007923
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