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The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic

Lexical–gustatory (LG) synesthesia is an intriguing neurological condition in which individuals experience phantom tastes when hearing, speaking, reading, or thinking about words. For example, the word “society” might flood the mouth of an LG synesthete with the flavor of fried onion. The condition...

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Detalles Bibliográficos
Autores principales: Ipser, Alberta, Ward, Jamie, Simner, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148268/
https://www.ncbi.nlm.nih.gov/pubmed/31161427
http://dx.doi.org/10.3758/s13428-019-01250-0
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author Ipser, Alberta
Ward, Jamie
Simner, Julia
author_facet Ipser, Alberta
Ward, Jamie
Simner, Julia
author_sort Ipser, Alberta
collection PubMed
description Lexical–gustatory (LG) synesthesia is an intriguing neurological condition in which individuals experience phantom tastes when hearing, speaking, reading, or thinking about words. For example, the word “society” might flood the mouth of an LG synesthete with the flavor of fried onion. The condition is usually verified in individuals by obtaining verbal descriptions of their word–flavor associations on more than one occasion, separated by several months. Their flavor associations are significantly more consistent over time than are those of controls (who are asked to invent associations by intuition and to recall them from memory). Although this test reliably dissociates synesthetes from nonsynesthetes, it suffers from practical and methodological limitations. Here we present a novel, automated, online consistency test, which can be administered in just 30 min in order to instantly and objectively verify LG synesthesia. We present data from two versions of our diagnostic test, in which synesthetes report their synesthetic flavors either from a hierarchical set of food categories (Exp. 1) or by specifying their basic component tastes (sweet, salty, bitter, etc.). We tested the largest sample of self-declared LG synesthetes studied to date and used receiver operating characteristic analysis to assess the discriminant power of our tests. Although both our methods discriminated synesthetes from controls, our second test (Exp. 2) has greater discriminatory power with a threshold cutoff. We suggest that our novel diagnostic for LG synesthesia has unprecedented benefits in its automated and objective scoring, its ease of use for participants and researchers, its short testing time, and its online platform. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.3758/s13428-019-01250-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-71482682020-04-16 The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic Ipser, Alberta Ward, Jamie Simner, Julia Behav Res Methods Article Lexical–gustatory (LG) synesthesia is an intriguing neurological condition in which individuals experience phantom tastes when hearing, speaking, reading, or thinking about words. For example, the word “society” might flood the mouth of an LG synesthete with the flavor of fried onion. The condition is usually verified in individuals by obtaining verbal descriptions of their word–flavor associations on more than one occasion, separated by several months. Their flavor associations are significantly more consistent over time than are those of controls (who are asked to invent associations by intuition and to recall them from memory). Although this test reliably dissociates synesthetes from nonsynesthetes, it suffers from practical and methodological limitations. Here we present a novel, automated, online consistency test, which can be administered in just 30 min in order to instantly and objectively verify LG synesthesia. We present data from two versions of our diagnostic test, in which synesthetes report their synesthetic flavors either from a hierarchical set of food categories (Exp. 1) or by specifying their basic component tastes (sweet, salty, bitter, etc.). We tested the largest sample of self-declared LG synesthetes studied to date and used receiver operating characteristic analysis to assess the discriminant power of our tests. Although both our methods discriminated synesthetes from controls, our second test (Exp. 2) has greater discriminatory power with a threshold cutoff. We suggest that our novel diagnostic for LG synesthesia has unprecedented benefits in its automated and objective scoring, its ease of use for participants and researchers, its short testing time, and its online platform. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.3758/s13428-019-01250-0) contains supplementary material, which is available to authorized users. Springer US 2019-06-03 2020 /pmc/articles/PMC7148268/ /pubmed/31161427 http://dx.doi.org/10.3758/s13428-019-01250-0 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Ipser, Alberta
Ward, Jamie
Simner, Julia
The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic
title The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic
title_full The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic
title_fullStr The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic
title_full_unstemmed The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic
title_short The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic
title_sort multisense test of lexical–gustatory synaesthesia: an automated online diagnostic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148268/
https://www.ncbi.nlm.nih.gov/pubmed/31161427
http://dx.doi.org/10.3758/s13428-019-01250-0
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