Literature DB >> 25772445

Taste quality decoding parallels taste sensations.

Sébastien M Crouzet1, Niko A Busch2, Kathrin Ohla3.   

Abstract

In most species, the sense of taste is key in the distinction of potentially nutritious and harmful food constituents and thereby in the acceptance (or rejection) of food. Taste quality is encoded by specialized receptors on the tongue, which detect chemicals corresponding to each of the basic tastes (sweet, salty, sour, bitter, and savory [1]), before taste quality information is transmitted via segregated neuronal fibers [2], distributed coding across neuronal fibers [3], or dynamic firing patterns [4] to the gustatory cortex in the insula. In rodents, both hardwired coding by labeled lines [2] and flexible, learning-dependent representations [5] and broadly tuned neurons [6] seem to coexist. It is currently unknown how, when, and where taste quality representations are established in the cortex and whether these representations are used for perceptual decisions. Here, we show that neuronal response patterns allow to decode which of four tastants (salty, sweet, sour, and bitter) participants tasted in a given trial by using time-resolved multivariate pattern analyses of large-scale electrophysiological brain responses. The onset of this prediction coincided with the earliest taste-evoked responses originating from the insula and opercular cortices, indicating that quality is among the first attributes of a taste represented in the central gustatory system. These response patterns correlated with perceptual decisions of taste quality: tastes that participants discriminated less accurately also evoked less discriminated brain response patterns. The results therefore provide the first evidence for a link between taste-related decision-making and the predictive value of these brain response patterns.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25772445     DOI: 10.1016/j.cub.2015.01.057

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  26 in total

1.  Impact of precisely-timed inhibition of gustatory cortex on taste behavior depends on single-trial ensemble dynamics.

Authors:  Narendra Mukherjee; Joseph Wachutka; Donald B Katz
Journal:  Elife       Date:  2019-06-24       Impact factor: 8.140

2.  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

3.  Inhibitory Central Amygdala Outputs to Thalamus Control the Gain of Taste Perception.

Authors:  Dheeraj S Roy
Journal:  J Neurosci       Date:  2020-11-25       Impact factor: 6.167

4.  Sweet Thermal Taste: Perceptual Characteristics in Water and Dependence on TAS1R2/TAS1R3.

Authors:  Danielle Nachtigal; Barry G Green
Journal:  Chem Senses       Date:  2020-04-17       Impact factor: 3.160

5.  Extremes of eating are associated with reduced neural taste discrimination.

Authors:  Guido K W Frank; Megan E Shott; Carrie Keffler; Marc-Andre Cornier
Journal:  Int J Eat Disord       Date:  2016-04-16       Impact factor: 4.861

6.  Associations between brain structure and perceived intensity of sweet and bitter tastes.

Authors:  Liang-Dar Hwang; Lachlan T Strike; Baptiste Couvy-Duchesne; Greig I de Zubicaray; Katie McMahon; Paul A S Breslin; Danielle R Reed; Nicholas G Martin; Margaret J Wright
Journal:  Behav Brain Res       Date:  2019-01-28       Impact factor: 3.332

7.  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

8.  Macroscopic information-based taste representations in insular cortex are shaped by stimulus concentration.

Authors:  Emanuele Porcu; Karsta M Benz; Felix Ball; Claus Tempelmann; Michael Hanke; Toemme Noesselt
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-16       Impact factor: 11.205

9.  Decoding the processing stages of mental arithmetic with magnetoencephalography.

Authors:  Pedro Pinheiro-Chagas; Manuela Piazza; Stanislas Dehaene
Journal:  Cortex       Date:  2018-07-31       Impact factor: 4.027

10.  The insulo-opercular cortex encodes food-specific content under controlled and naturalistic conditions.

Authors:  Yuhao Huang; Bina W Kakusa; Austin Feng; Sandra Gattas; Rajat S Shivacharan; Eric B Lee; Jonathon J Parker; Fiene M Kuijper; Daniel A N Barbosa; Corey J Keller; Cara Bohon; Abanoub Mikhail; Casey H Halpern
Journal:  Nat Commun       Date:  2021-06-14       Impact factor: 14.919

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