Literature DB >> 20810682

An evaluation of the conductivity profile in the somatosensory barrel cortex of Wistar rats.

Takakuni Goto1, Rieko Hatanaka, Takeshi Ogawa, Akira Sumiyoshi, Jorge Riera, Ryuta Kawashima.   

Abstract

Microelectrode arrays used to record local field potentials from the brain are being built with increasingly more spatial resolution, ranging from the initially developed laminar arrays to those with planar and three-dimensional (3D) formats. In parallel with such development in recording techniques, current source density (CSD) analyses have recently been expanded up to the continuous-3D form. Unfortunately, the effect of the conductivity profile on the CSD analysis performed with contemporary microelectrode arrays has not yet been evaluated and most of the studies assumed it was homogeneous and isotropic. In this study, we measured the conductivity profile in the somatosensory barrel cortex of Wistar rats. To that end, we combined multisite electrophysiological data recorded with a homemade assembly of silicon-based probes and a nonlinear least-squares algorithm that implicitly assumed that the cerebral cortex of rodents could be locally approximated as a layered anisotropic spherical volume conductor. The eccentricity of the six cortical layers in the somatosensory barrel cortex was evaluated from postmortem histological images. We provided evidence for the local spherical character of the entire barrels field, with concentric cortical layers. We found significant laminar dependencies in the conductivity values with radial/tangential anisotropies. These results were in agreement with the layer-dependent orientations of myelinated axons, but hardly related to densities of cells. Finally, we demonstrated through simulations that ignoring the real conductivity profile in the somatosensory barrel cortex of rats caused considerable errors in the CSD reconstruction, with pronounced effects on the continuous-3D form and charge-unbalanced CSD. We concluded that the conductivity profile must be included in future developments of CSD analysis, especially for rodents.

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Year:  2010        PMID: 20810682     DOI: 10.1152/jn.00122.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  37 in total

Review 1.  The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

Authors:  György Buzsáki; Costas A Anastassiou; Christof Koch
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2.  Rodent Cerebral Blood Volume (CBV) changes during hypercapnia observed using Magnetic Particle Imaging (MPI) detection.

Authors:  Clarissa Zimmerman Cooley; Joseph B Mandeville; Erica E Mason; Emiri T Mandeville; Lawrence L Wald
Journal:  Neuroimage       Date:  2018-05-05       Impact factor: 6.556

Review 3.  Modelling and analysis of local field potentials for studying the function of cortical circuits.

Authors:  Gaute T Einevoll; Christoph Kayser; Nikos K Logothetis; Stefano Panzeri
Journal:  Nat Rev Neurosci       Date:  2013-11       Impact factor: 34.870

4.  Cell type- and activity-dependent extracellular correlates of intracellular spiking.

Authors:  Costas A Anastassiou; Rodrigo Perin; György Buzsáki; Henry Markram; Christof Koch
Journal:  J Neurophysiol       Date:  2015-05-20       Impact factor: 2.714

5.  h-Type Membrane Current Shapes the Local Field Potential from Populations of Pyramidal Neurons.

Authors:  Torbjørn V Ness; Michiel W H Remme; Gaute T Einevoll
Journal:  J Neurosci       Date:  2018-06-06       Impact factor: 6.167

6.  Generation of field potentials and modulation of their dynamics through volume integration of cortical activity.

Authors:  Yoshinao Kajikawa; Charles E Schroeder
Journal:  J Neurophysiol       Date:  2014-10-01       Impact factor: 2.714

7.  A Minimal Biophysical Model of Neocortical Pyramidal Cells: Implications for Frontal Cortex Microcircuitry and Field Potential Generation.

Authors:  Beatriz Herrera; Amirsaman Sajad; Geoffrey F Woodman; Jeffrey D Schall; Jorge J Riera
Journal:  J Neurosci       Date:  2020-10-09       Impact factor: 6.167

8.  Invariance in current dipole moment density across brain structures and species: physiological constraint for neuroimaging.

Authors:  Shingo Murakami; Yoshio Okada
Journal:  Neuroimage       Date:  2015-02-10       Impact factor: 6.556

9.  Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.

Authors:  Espen Hagen; David Dahmen; Maria L Stavrinou; Henrik Lindén; Tom Tetzlaff; Sacha J van Albada; Sonja Grün; Markus Diesmann; Gaute T Einevoll
Journal:  Cereb Cortex       Date:  2016-10-20       Impact factor: 5.357

10.  Fast simulation of extracellular action potential signatures based on a morphological filtering approximation.

Authors:  Harry Tran; Radu Ranta; Steven Le Cam; Valérie Louis-Dorr
Journal:  J Comput Neurosci       Date:  2020-01-17       Impact factor: 1.621

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