Literature DB >> 35182541

Extracellular and intracellular components of the impedance of neural tissue.

Claude Bedard1, Charlotte Piette2, Laurent Venance2, Alain Destexhe3.   

Abstract

Electric phenomena in brain tissue can be measured using extracellular potentials, such as the local field potential, or the electro-encephalogram. The interpretation of these signals depends on the electric structure and properties of extracellular media, but the measurements of these electric properties are still debated. Some measurements point to a model in which the extracellular medium is purely resistive, and thus parameters such as electric conductivity and permittivity should be independent of frequency. Other measurements point to a pronounced frequency dependence of these parameters, with scaling laws that are consistent with capacitive or diffusive effects. However, these experiments correspond to different preparations, and it is unclear how to correctly compare them. Here, we provide for the first time, impedance measurements (in the 1-10 kHz frequency range) using the same setup in various preparations, from primary cell cultures to acute brain slices, and a comparison with similar measurements performed in artificial cerebrospinal fluid with no biological material. The measurements show that when the current flows across a cell membrane, the frequency dependence of the macroscopic impedance between intracellular and extracellular electrodes is significant, and cannot be captured by a model with resistive media. Fitting a mean-field model to the data shows that this frequency dependence could be explained by the ionic diffusion mainly associated with Debye layers surrounding the membranes. We conclude that neuronal membranes and their ionic environment induce strong deviations to resistivity that should be taken into account to correctly interpret extracellular potentials generated by neurons.
Copyright © 2022 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2022        PMID: 35182541      PMCID: PMC8943819          DOI: 10.1016/j.bpj.2022.02.022

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  24 in total

1.  Generalized theory for current-source-density analysis in brain tissue.

Authors:  Claude Bédard; Alain Destexhe
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-10-10

2.  Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials: intracellular-LFP transfer function.

Authors:  Claude Bédard; Serafim Rodrigues; Noah Roy; Diego Contreras; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2010-06-18       Impact factor: 1.621

Review 3.  The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

Authors:  György Buzsáki; Costas A Anastassiou; Christof Koch
Journal:  Nat Rev Neurosci       Date:  2012-05-18       Impact factor: 34.870

4.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

Review 5.  Unveiling the Extracellular Space of the Brain: From Super-resolved Microstructure to In Vivo Function.

Authors:  Sabina Hrabetova; Laurent Cognet; Dmitri A Rusakov; U Valentin Nägerl
Journal:  J Neurosci       Date:  2018-10-31       Impact factor: 6.167

6.  Microscale inhomogeneity of brain tissue distorts electrical signal propagation.

Authors:  Matthew J Nelson; Clémentine Bosch; Laurent Venance; Pierre Pouget
Journal:  J Neurosci       Date:  2013-02-13       Impact factor: 6.167

Review 7.  A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signals.

Authors:  Claude Bedard; Jean-Marie Gomes; Thierry Bal; Alain Destexhe
Journal:  J Integr Neurosci       Date:  2017       Impact factor: 2.117

8.  Impact of brain tissue filtering on neurostimulation fields: a modeling study.

Authors:  Tim Wagner; Uri Eden; Jarrett Rushmore; Christopher J Russo; Laura Dipietro; Felipe Fregni; Stephen Simon; Stephen Rotman; Naomi B Pitskel; Ciro Ramos-Estebanez; Alvaro Pascual-Leone; Alan J Grodzinsky; Markus Zahn; Antoni Valero-Cabré
Journal:  Neuroimage       Date:  2013-07-10       Impact factor: 6.556

9.  Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media.

Authors:  Nima Dehghani; Claude Bédard; Sydney S Cash; Eric Halgren; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2010-08-10       Impact factor: 1.621

10.  Analysis of Claims that the Brain Extracellular Impedance Is High and Non-resistive.

Authors:  Boris Barbour
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

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