Literature DB >> 19571199

Current source density profiles of stimulus-specific adaptation in rat auditory cortex.

Francois D Szymanski1, Jose A Garcia-Lazaro, Jan W H Schnupp.   

Abstract

Neurons in primary auditory cortex (A1) are known to exhibit a phenomenon known as stimulus-specific adaptation (SSA), which means that, when tested with pure tones, they will respond more strongly to a particular frequency if it is presented as a rare, unexpected "oddball" stimulus than when the same stimulus forms part of a series of common, "standard" stimuli. Although SSA has occasionally been observed in midbrain neurons that form part of the paraleminscal auditory pathway, it is thought to be weak, rare, or nonexistent among neurons of the leminscal pathway that provide the main afferent input to A1, so that SSA seen in A1 is likely generated within A1 by local mechanisms. To study the contributions that neural processing within the different cytoarchitectonic layers of A1 may make to SSA, we recorded local field potentials in A1 of the rat in response to standard and oddball tones and subjected these to current source density analysis. Although our results show that SSA can be observed throughout all layers of A1, right from the earliest part of the response, there are nevertheless significant differences between layers, with SSA becoming significantly stronger as stimulus-related activity passes from the main thalamorecipient layers III and IV to layer V.

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Year:  2009        PMID: 19571199     DOI: 10.1152/jn.00240.2009

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


  58 in total

1.  Stimulus-specific adaptation: can it be a neural correlate of behavioral habituation?

Authors:  Shai Netser; Yael Zahar; Yoram Gutfreund
Journal:  J Neurosci       Date:  2011-12-07       Impact factor: 6.167

2.  Spectral integration in primary auditory cortex attributable to temporally precise convergence of thalamocortical and intracortical input.

Authors:  Max F K Happel; Marcus Jeschke; Frank W Ohl
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

3.  Sensory-driven and spontaneous gamma oscillations engage distinct cortical circuitry.

Authors:  Cristin G Welle; Diego Contreras
Journal:  J Neurophysiol       Date:  2015-12-30       Impact factor: 2.714

Review 4.  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

5.  Dopamine-modulated recurrent corticoefferent feedback in primary sensory cortex promotes detection of behaviorally relevant stimuli.

Authors:  Max F K Happel; Matthias Deliano; Juliane Handschuh; Frank W Ohl
Journal:  J Neurosci       Date:  2014-01-22       Impact factor: 6.167

6.  Evoked Response Strength in Primary Auditory Cortex Predicts Performance in a Spectro-Spatial Discrimination Task in Rats.

Authors:  Elena Gronskaya; Wolfger von der Behrens
Journal:  J Neurosci       Date:  2019-06-07       Impact factor: 6.167

7.  Auditory responses and stimulus-specific adaptation in rat auditory cortex are preserved across NREM and REM sleep.

Authors:  Yuval Nir; Vladyslav V Vyazovskiy; Chiara Cirelli; Matthew I Banks; Giulio Tononi
Journal:  Cereb Cortex       Date:  2013-12-08       Impact factor: 5.357

8.  Diverse effects of stimulus history in waking mouse auditory cortex.

Authors:  Elizabeth A K Phillips; Christoph E Schreiner; Andrea R Hasenstaub
Journal:  J Neurophysiol       Date:  2017-05-31       Impact factor: 2.714

9.  Muscarinic receptors regulate auditory and prefrontal cortical communication during auditory processing.

Authors:  Nicholas M James; Howard J Gritton; Nancy Kopell; Kamal Sen; Xue Han
Journal:  Neuropharmacology       Date:  2018-10-21       Impact factor: 5.250

10.  Detection of an inhibitory cortical gradient underlying peak shift in learning: a neural basis for a false memory.

Authors:  Alexandre A Miasnikov; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2012-10-11       Impact factor: 2.877

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