Literature DB >> 18287552

Responses to binary taste mixtures in the nucleus of the solitary tract: neural coding with firing rate.

Jen-Yung Chen1, Patricia M Di Lorenzo.   

Abstract

The contribution of gustation to the perception of food requires an understanding of how neurons represent mixtures of taste qualities. In the periphery, separate groups of fibers, labeled by the stimulus that evokes the best (largest) response, appear to respond to each component of a mixture. In the brain, identification of analogous groups of neurons is hampered by trial-to-trial variability in response magnitude. In addition, convergence of different fiber types onto central neurons may complicate the classification scheme. To investigate these issues, electrophysiological responses to four tastants: sucrose, NaCl, HCl, and quinine, and their binary mixtures were recorded from 56 cells in the nucleus of the solitary tract (NTS, the 1st synapse in the central gustatory pathway) of the anesthetized rat. For 36 of these cells, all 10 stimuli were repeated at least five times (range: 5-23; median = 10). Results showed that 39% of these cells changed their best stimulus across stimulus repetitions, suggesting that response magnitude (firing rate) on any given trial produces an ambiguous message. Averaged across replicate trials, mixture responses most often approximated the response to the more effective component of the mixture. Cells that responded best to a taste mixture rather than any single-component tastant were identified. These cells were more broadly tuned than were cells that responded best to single-component stimuli and showed evidence of convergence from more than one best stimulus fiber type. Functionally, mixture-best cells may amplify the neural signal produced by unique configurations of basic taste qualities.

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Year:  2008        PMID: 18287552     DOI: 10.1152/jn.01020.2007

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


  16 in total

1.  Dynamic taste responses of parabrachial pontine neurons in awake rats.

Authors:  Madelyn A Baez-Santiago; Emily E Reid; Anan Moran; Joost X Maier; Yasmin Marrero-Garcia; Donald B Katz
Journal:  J Neurophysiol       Date:  2016-01-20       Impact factor: 2.714

2.  Odor-taste convergence in the nucleus of the solitary tract of the awake freely licking rat.

Authors:  Olga D Escanilla; Jonathan D Victor; Patricia M Di Lorenzo
Journal:  J Neurosci       Date:  2015-04-22       Impact factor: 6.167

3.  Temperature systematically modifies neural activity for sweet taste.

Authors:  David M Wilson; Christian H Lemon
Journal:  J Neurophysiol       Date:  2014-06-25       Impact factor: 2.714

4.  Masking the Detection of Taste Stimuli in Rats: NaCl and Sucrose.

Authors:  Ginger D Blonde; Alan C Spector
Journal:  Chem Senses       Date:  2020-05-29       Impact factor: 3.160

Review 5.  Cracking taste codes by tapping into sensory neuron impulse traffic.

Authors:  Marion E Frank; Robert F Lundy; Robert J Contreras
Journal:  Prog Neurobiol       Date:  2008-09-07       Impact factor: 11.685

6.  Quality time: representation of a multidimensional sensory domain through temporal coding.

Authors:  Patricia M Di Lorenzo; Jen-Yung Chen; Jonathan D Victor
Journal:  J Neurosci       Date:  2009-07-22       Impact factor: 6.167

7.  Responses of the hamster chorda tympani nerve to sucrose+acid and sucrose+citrate taste mixtures.

Authors:  Bradley K Formaker; Hsung Lin; Thomas P Hettinger; Marion E Frank
Journal:  Chem Senses       Date:  2009-07-20       Impact factor: 3.160

8.  Taste coding of complex naturalistic taste stimuli and traditional taste stimuli in the parabrachial pons of the awake, freely licking rat.

Authors:  Joshua D Sammons; Michael S Weiss; Jonathan D Victor; Patricia M Di Lorenzo
Journal:  J Neurophysiol       Date:  2016-04-27       Impact factor: 2.714

9.  Sweet-bitter and umami-bitter taste interactions in single parabrachial neurons in C57BL/6J mice.

Authors:  Kenichi Tokita; John D Boughter
Journal:  J Neurophysiol       Date:  2012-07-25       Impact factor: 2.714

Review 10.  The taste of sugars.

Authors:  Stuart A McCaughey
Journal:  Neurosci Biobehav Rev       Date:  2008-04-18       Impact factor: 8.989

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