Literature DB >> 28891497

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

Claude Bedard1, Jean-Marie Gomes1, Thierry Bal1, Alain Destexhe1.   

Abstract

In this viewpoint article, we discuss the electric properties of the medium around neurons, which are important to correctly interpret extracellular potentials or electric field effects in neural tissue. We focus on how these electric properties shape the frequency scaling of brain signals at different scales, such as intracellular recordings, the local field potential (LFP), the electroencephalogram (EEG) or the magnetoencephalogram (MEG). These signals display frequency-scaling properties which are not consistent with resistive media. The medium appears to exert a frequency filtering scaling as 1/f, which is the typical frequency scaling of ionic diffusion. Such a scaling was also found recently by impedance measurements in physiological conditions. Ionic diffusion appears to be the only possible explanation to reconcile these measurements and the frequency-scaling properties found in different brain signals. However, other measurements suggest that the extracellular medium is essentially resistive. To resolve this discrepancy, we show new evidence that metal-electrode measurements can be perturbed by shunt currents going through the surface of the brain. Such a shunt may explain the contradictory measurements, and together with ionic diffusion, provides a framework where all observations can be reconciled. Finally, we propose a method to perform measurements avoiding shunting effects, thus enabling to test the predictions of this framework.

Entities:  

Keywords:  Extracellular medium; electric field; impedance; ionic diffusion; magnetic field; non-ohmic properties

Mesh:

Year:  2017        PMID: 28891497     DOI: 10.3233/JIN-160001

Source DB:  PubMed          Journal:  J Integr Neurosci        ISSN: 0219-6352            Impact factor:   2.117


  7 in total

1.  Is the Extracellular Impedance High and Non-resistive in Cerebral Cortex?

Authors:  Claude Bédard; Alain Destexhe
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

Review 2.  Cortical travelling waves: mechanisms and computational principles.

Authors:  Lyle Muller; Frédéric Chavane; John Reynolds; Terrence J Sejnowski
Journal:  Nat Rev Neurosci       Date:  2018-03-22       Impact factor: 34.870

3.  Extracellular and intracellular components of the impedance of neural tissue.

Authors:  Claude Bedard; Charlotte Piette; Laurent Venance; Alain Destexhe
Journal:  Biophys J       Date:  2022-02-17       Impact factor: 4.033

4.  Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What's signal irregularity got to do with it?

Authors:  Julian Q Kosciessa; Niels A Kloosterman; Douglas D Garrett
Journal:  PLoS Comput Biol       Date:  2020-05-11       Impact factor: 4.475

5.  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

Review 6.  Bridging Neural and Computational Viewpoints on Perceptual Decision-Making.

Authors:  Redmond G O'Connell; Michael N Shadlen; KongFatt Wong-Lin; Simon P Kelly
Journal:  Trends Neurosci       Date:  2018-07-12       Impact factor: 13.837

Review 7.  EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies.

Authors:  Jennifer J Newson; Tara C Thiagarajan
Journal:  Front Hum Neurosci       Date:  2019-01-09       Impact factor: 3.169

  7 in total

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