Literature DB >> 4009223

Gustatory responses of cortical neurons in rats. II. Information processing of taste quality.

T Yamamoto, N Yuyama, T Kato, Y Kawamura.   

Abstract

The present report was designed to investigate neural coding of taste information in the cerebral cortical taste area of rats. The magnitude and/or type (excitatory, inhibitory, or no-response) of responses of 111 cortical neurons evoked by single concentrations of the four basic taste stimuli (sucrose, NaCl, HCl, and quinine HCl) were subjected to four types of analyses in the context of the four proposed hypotheses of taste-quality coding: across-neuron response-pattern, labeled-line, matrix-pattern, and across-region response-pattern notions (88 histologically located neurons). An across-neuron response-pattern notion assumes that taste quality is coded by differential magnitudes of response across many neurons. This theory utilizes across-neuron correlation coefficients as a metric for the evaluation of taste quality coding. Across-neuron correlations between magnitudes of responses to any pairs of the four basic taste stimuli across 111 cortical neurons were very high and were similar. However, calculations made with net responses (spontaneous rate subtracted) resulted in less positive correlations but still similar values among the various pairs of taste stimuli. This finding suggests that across-neuron response patterns of cortical neurons become less discriminating among taste qualities compared with those of the lower-order neurons. A labeled-line notion assumes that there are identifiable groups of neurons and that taste quality is coded by activity in these particular sets of neurons. Some investigators have classified taste-responsive neurons into best-stimulus categories, depending on their best sensitivity to any one of the four basic stimuli, such as sucrose-best, NaCl-best, HCl-best, and quinine-best neurons; they have suggested that taste can be classified along four qualitative dimensions that correspond to these four neuron types (i.e., four labeled lines). The present study shows that responsiveness of each of the four best-stimulus neurons had similar profiles between peripheral and cortical levels. That is, when the stimuli were arranged along the abscissa in the order of sucrose, NaCl, HCl, and quinine, there is a peak response in one place, and the responses decreased gradually from the peak. However, such response characteristics do not favor the labeled-line theory, since they can be explained in the context of the across-neuron pattern theory. A matrix-pattern notion assumes that taste quality is coded by a spatially arranged matrix pattern of activated neurons.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1985        PMID: 4009223     DOI: 10.1152/jn.1985.53.6.1356

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


  28 in total

1.  Processing of hedonic and chemosensory features of taste in medial prefrontal and insular networks.

Authors:  Ahmad Jezzini; Luca Mazzucato; Giancarlo La Camera; Alfredo Fontanini
Journal:  J Neurosci       Date:  2013-11-27       Impact factor: 6.167

2.  An Insula-Central Amygdala Circuit for Guiding Tastant-Reinforced Choice Behavior.

Authors:  Hillary C Schiff; Anna Lien Bouhuis; Kai Yu; Mario A Penzo; Haohong Li; Miao He; Bo Li
Journal:  J Neurosci       Date:  2018-01-05       Impact factor: 6.167

3.  Superadditive opercular activation to food flavor is mediated by enhanced temporal and limbic coupling.

Authors:  Janina Seubert; Kathrin Ohla; Yoshiko Yokomukai; Thilo Kellermann; Johan N Lundström
Journal:  Hum Brain Mapp       Date:  2014-12-26       Impact factor: 5.038

4.  Recognizing Taste: Coding Patterns Along the Neural Axis in Mammals.

Authors:  Kathrin Ohla; Ryusuke Yoshida; Stephen D Roper; Patricia M Di Lorenzo; Jonathan D Victor; John D Boughter; Max Fletcher; Donald B Katz; Nirupa Chaudhari
Journal:  Chem Senses       Date:  2019-04-15       Impact factor: 3.160

5.  Sensory cortical population dynamics uniquely track behavior across learning and extinction.

Authors:  Anan Moran; Donald B Katz
Journal:  J Neurosci       Date:  2014-01-22       Impact factor: 6.167

Review 6.  The Insula and Taste Learning.

Authors:  Adonis Yiannakas; Kobi Rosenblum
Journal:  Front Mol Neurosci       Date:  2017-11-03       Impact factor: 5.639

7.  Orosensory and Homeostatic Functions of the Insular Taste Cortex.

Authors:  Ivan E de Araujo; Paul Geha; Dana M Small
Journal:  Chemosens Percept       Date:  2012-03-01       Impact factor: 1.833

8.  Sensory Cortical Activity Is Related to the Selection of a Rhythmic Motor Action Pattern.

Authors:  Jennifer X Li; Joost X Maier; Emily E Reid; Donald B Katz
Journal:  J Neurosci       Date:  2016-05-18       Impact factor: 6.167

9.  Lateral hypothalamus contains two types of palatability-related taste responses with distinct dynamics.

Authors:  Jennifer X Li; Takashi Yoshida; Kevin J Monk; Donald B Katz
Journal:  J Neurosci       Date:  2013-05-29       Impact factor: 6.167

10.  Distribution of Fos-immunoreactive neurons in the gustatory cortex elicited by intra-oral infusion of taste solutions in conscious rats.

Authors:  Michael S King
Journal:  Brain Res       Date:  2018-01-31       Impact factor: 3.252

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