Literature DB >> 8922979

Physiology of the young adult Fischer 344 rat inferior colliculus: responses to contralateral monaural stimuli.

P S Palombi1, D M Caspary.   

Abstract

This study was designed to establish the young adult (3 month) Fischer 344 (F344) rat as a model of inferior colliculus (IC) physiology, providing a baseline for analysis of changes in single unit responses as the animals age and for the study of noise induced hearing loss. The response properties of units localized to the central nucleus of the IC (CIC) and those localized to the external cortex of the IC (ECIC) were compared in order to better characterize differences between these two subnuclei in the processing of simple auditory stimuli. In vivo extracellular single unit recordings were made from IC neurons in ketamine/xylazine anesthetized young adult F344 rats. When a unit was electrically isolated, the spontaneous activity level, characteristic frequency (CF) and CF threshold were determined. Rate/intensity functions (RIFs) in response to contralateral CF tones and to contralateral noise bursts were obtained as were tone isointensity functions. The recording site was marked by ejecting horseradish peroxidase (HRP) from an electrode. Locations of recorded units were determined from electrode track marks and HRP marks in serial brain sections. Recordings were made from 320 neurons in the IC; 176 were localized to the CIC and 87 to the ECIC. Thirteen percent of the units in each subdivision were found to be poorly responsive to auditory stimulation (clicks, tones or noise), and spontaneous activity was generally low. Characteristic frequencies representative of the full rat audiogram were found in each subdivision with the mean threshold significantly higher in the ECIC (28.7 dB SPL) than in the CIC (22.3 dB SPL). The mean maximum discharge rate to CF tone bursts was near 24 spikes/s in each subdivision. Dynamic range tended to be higher in the ECIC (28.3 dB) than in the CIC (23.2 dB), reflecting the lower percentage of nonmonotonic units found in the ECIC. Most units responded more robustly with a slower tone presentation rate, displayed lower levels of discharge to noise bursts than to tone bursts, and had differently shaped tone and noise RIFs. Most units were classified as onset responders to CF tone bursts in both subdivisions, with the percentage of onset responders higher in the ECIC (68.9%) than in the CIC (57.8%). First spike latency did not differ significantly between the subdivisions, but tended to be shorter in the CIC. The breadth of the excitatory receptive fields did not differ significantly between subdivisions, although the mean was slightly larger in the ECIC. These results are generally consistent with the results of CIC studies from other species, establishing the F344 rat as a model of CIC physiology. Differences between CIC and ECIC units included a higher percentage of nonmonotonic RIFs and lower percentage of onset temporal response patterns in the CIC than in the ECIC. Some properties which have been previously used as hallmarks for differentiation between CIC and ECIC units, namely broader tuning and longer first spike latencies in the ECIC, did not reach statistical significance in this study. These may reflect species differences and/or the highly variable and largely overlapping sets of responses evident in the large sample size used in this study.

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Mesh:

Year:  1996        PMID: 8922979     DOI: 10.1016/0378-5955(96)00115-3

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  13 in total

1.  Different timescales for the neural coding of consonant and vowel sounds.

Authors:  Claudia A Perez; Crystal T Engineer; Vikram Jakkamsetti; Ryan S Carraway; Matthew S Perry; Michael P Kilgard
Journal:  Cereb Cortex       Date:  2012-03-16       Impact factor: 5.357

2.  Age-related changes in the relationship between auditory brainstem responses and envelope-following responses.

Authors:  Aravindakshan Parthasarathy; Jyotishka Datta; Julie Ann Luna Torres; Charneka Hopkins; Edward L Bartlett
Journal:  J Assoc Res Otolaryngol       Date:  2014-05-21

3.  Increasing diversity of neural responses to speech sounds across the central auditory pathway.

Authors:  K G Ranasinghe; W A Vrana; C J Matney; M P Kilgard
Journal:  Neuroscience       Date:  2013-08-14       Impact factor: 3.590

4.  Sensitivity of rat inferior colliculus neurons to frequency distributions.

Authors:  Björn Herrmann; Aravindakshan Parthasarathy; Emily X Han; Jonas Obleser; Edward L Bartlett
Journal:  J Neurophysiol       Date:  2015-09-09       Impact factor: 2.714

5.  GABAA receptors contribute more to rate than temporal coding in the IC of awake mice.

Authors:  Boris Gourévitch; Elena J Mahrt; Warren Bakay; Cameron Elde; Christine V Portfors
Journal:  J Neurophysiol       Date:  2019-11-13       Impact factor: 2.714

6.  Auditory response properties of neurons in the tectal longitudinal column of the rat.

Authors:  Allen F Marshall; James M Pearson; Stephanie E Falk; John D Skaggs; William D Crocker; Enrique Saldaña; Douglas C Fitzpatrick
Journal:  Hear Res       Date:  2008-07-12       Impact factor: 3.208

7.  Processing of broadband stimuli across A1 layers in young and aged rats.

Authors:  Larry F Hughes; Jeremy G Turner; Jennifer L Parrish; Donald M Caspary
Journal:  Hear Res       Date:  2009-09-20       Impact factor: 3.208

Review 8.  Inhibitory neurotransmission, plasticity and aging in the mammalian central auditory system.

Authors:  Donald M Caspary; Lynne Ling; Jeremy G Turner; Larry F Hughes
Journal:  J Exp Biol       Date:  2008-06       Impact factor: 3.312

Review 9.  The organization and physiology of the auditory thalamus and its role in processing acoustic features important for speech perception.

Authors:  Edward L Bartlett
Journal:  Brain Lang       Date:  2013-07       Impact factor: 2.381

10.  The superior paraolivary nucleus shapes temporal response properties of neurons in the inferior colliculus.

Authors:  Richard A Felix; Anna K Magnusson; Albert S Berrebi
Journal:  Brain Struct Funct       Date:  2014-06-29       Impact factor: 3.270

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