Literature DB >> 21994380

Large-scale heterogeneous representation of sound attributes in rat primary auditory cortex: from unit activity to population dynamics.

Takeshi Ogawa1, Jorge Riera, Takakuni Goto, Akira Sumiyoshi, Hiroi Nonaka, Karim Jerbi, Olivier Bertrand, Ryuta Kawashima.   

Abstract

Recent evidence indicates the existence of pyramidal cells (PCs) and interneurons with nontrivial tuning characteristics for sound attributes in the primary auditory cortex (A1) of mammals. These neurons are functionally distributed into layers and sparsely organized at a small scale. However, their topological locations at a large scale in A1 have not yet been investigated. Furthermore, these neurons are usually classified from fine maps of attribute-dependent spiking activity, and not much attention is paid to population postsynaptic potentials related to their activity. We used extracellular recordings obtained from multiple sites in A1 of adult rats to determine neuronal codifiers for sound attributes defined by coarse representations of the population dose-response curves. We demonstrated that these codifiers, majorly involving PCs, are heterogeneously distributed along A1. Spiking activity in these neurons during stimulation was correlated to β (12-25 Hz) and low γ (25-70 Hz) postsynaptic oscillations in the infragranular layer, whereas in the supragranular layer, better correlations were found with high γ (70-170 Hz) oscillations. The time-frequency analysis of the postsynaptic potentials showed a transient broadband power increase in all layers after the stimulus onset that was followed by a sustained high γ oscillation in the supragranular layer, fluctuations in the laminar content of the low-frequency oscillations, and a global attenuation in the low-frequency powers after the stimulus offset that happened together with a long-lasting strengthening of the β oscillations. We concluded that, for rats, sounds are codified in A1 by segregated networks of specialized PCs whose postsynaptic activity impinges on the emergence of sparse/dense spiking patterns.

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Year:  2011        PMID: 21994380      PMCID: PMC6703402          DOI: 10.1523/JNEUROSCI.0086-11.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  11 in total

1.  Differential representation of auditory categories between cell classes in primate auditory cortex.

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Journal:  J Physiol       Date:  2012-05-08       Impact factor: 5.182

2.  A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings.

Authors:  Monty A Escabí; Heather L Read; Jonathan Viventi; Dae-Hyeong Kim; Nathan C Higgins; Douglas A Storace; Andrew S K Liu; Adam M Gifford; John F Burke; Matthew Campisi; Yun-Soung Kim; Andrew E Avrin; Van der Spiegel Jan; Yonggang Huang; Ming Li; Jian Wu; John A Rogers; Brian Litt; Yale E Cohen
Journal:  J Neurophysiol       Date:  2014-06-11       Impact factor: 2.714

3.  Neural speech recognition: continuous phoneme decoding using spatiotemporal representations of human cortical activity.

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Journal:  J Neural Eng       Date:  2016-08-03       Impact factor: 5.379

4.  Spontaneous high-gamma band activity reflects functional organization of auditory cortex in the awake macaque.

Authors:  Makoto Fukushima; Richard C Saunders; David A Leopold; Mortimer Mishkin; Bruno B Averbeck
Journal:  Neuron       Date:  2012-06-07       Impact factor: 17.173

5.  Investigation of a new electrode array technology for a central auditory prosthesis.

Authors:  Roger Calixto; Behrouz Salamat; Thilo Rode; Tanja Hartmann; Bart Volckaerts; Patrick Ruther; Thomas Lenarz; Hubert H Lim
Journal:  PLoS One       Date:  2013-12-02       Impact factor: 3.240

Review 6.  Neural mechanisms of auditory categorization: from across brain areas to within local microcircuits.

Authors:  Joji Tsunada; Yale E Cohen
Journal:  Front Neurosci       Date:  2014-06-17       Impact factor: 4.677

7.  State-dependent and cell type-specific temporal processing in auditory thalamocortical circuit.

Authors:  Shuzo Sakata
Journal:  Sci Rep       Date:  2016-01-05       Impact factor: 4.379

8.  A methodology for fast assessments to the electrical activity of barrel fields in vivo: from population inputs to single unit outputs.

Authors:  Jorge J Riera; Takakuni Goto; Ryuta Kawashima
Journal:  Front Neural Circuits       Date:  2014-02-05       Impact factor: 3.492

9.  Discrimination of cortical laminae using MEG.

Authors:  Luzia Troebinger; José David López; Antoine Lutti; Sven Bestmann; Gareth Barnes
Journal:  Neuroimage       Date:  2014-07-17       Impact factor: 6.556

10.  Systematic Analysis of Transmitter Coexpression Reveals Organizing Principles of Local Interneuron Heterogeneity.

Authors:  Kristyn M Lizbinski; Gary Marsat; Andrew M Dacks
Journal:  eNeuro       Date:  2018-10-04
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