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Hörberg T, Kurfalı M, Larsson M, Jonsson Laukka E, Herman P, Olofsson JK. A Rose by Another Name? Odor Misnaming is Associated with Linguistic Properties. Cogn Sci 2024; 48:e70003. [PMID: 39439400 DOI: 10.1111/cogs.70003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 09/20/2024] [Accepted: 10/03/2024] [Indexed: 10/25/2024]
Abstract
Naming common odors is a surprisingly difficult task: Odors are frequently misnamed. Little is known about the linguistic properties of odor misnamings. We test whether odor misnamings of old adults carry information about olfactory perception and its connection to lexical-semantic processing. We analyze the olfactory-semantic content of odor source naming failures in a large sample of older adults in Sweden (n = 2479; age 58-100 years). We investigate whether linguistic factors and semantic proximity to the target odor name predict how odors are misnamed, and how these factors relate to overall odor identification performance. We also explore the primary semantic dimensions along which misnamings are distributed. We find that odor misnamings consist of surprisingly many vague and unspecific terms, such as category names (e.g., fruit) or abstract or evaluative terms (e.g., sweet). Odor misnamings are often strongly associated with the correct name, capturing properties such as its category or other abstract features. People are also biased toward misnaming odors with high-frequency terms that are associated with olfaction or gustation. Linguistic properties of odor misnamings and their semantic proximity to the target odor name predict odor identification performance, suggesting that linguistic processing facilitates odor identification. Further, odor misnamings constitute an olfactory-semantic space that is similar to the olfactory vocabulary of English. This space is primarily differentiated along pleasantness, edibility, and concreteness dimensions. Odor naming failures thus contain plenty of information about semantic odor knowledge.
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Affiliation(s)
- Thomas Hörberg
- Sensory-Cognitive Interaction Lab & Gösta Ekman Laboratory, Department of Psychology, Stockholm University
| | - Murathan Kurfalı
- Sensory-Cognitive Interaction Lab & Gösta Ekman Laboratory, Department of Psychology, Stockholm University
- RISE Research Institutes of Sweden
| | - Maria Larsson
- Sensory-Cognitive Interaction Lab & Gösta Ekman Laboratory, Department of Psychology, Stockholm University
| | - Erika Jonsson Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University
- Stockholm Gerontology Research Center
| | - Pawel Herman
- Computational Brain Science Lab, Division of Computational Science and Technology, KTH Royal Institute of Technology
| | - Jonas K Olofsson
- Sensory-Cognitive Interaction Lab & Gösta Ekman Laboratory, Department of Psychology, Stockholm University
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Pieniak M, Tutar C, Jedryczka W, Benkhatar H, Debroise Blanchard-Dignac V, Haehner A, Hummel T. A practical test for retronasal odor identification based on aromatized tablets. J Neurosci Methods 2024; 406:110135. [PMID: 38583589 DOI: 10.1016/j.jneumeth.2024.110135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/17/2024] [Accepted: 04/03/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Olfactory perceptions elicited by odors originating from within the body (retronasal olfaction) play a crucial role in well-being and are often disrupted in various medical conditions. However, the assessment of retronasal olfaction in research and the clinical practice is impeded by the lack of commercially available tests and limited standardization of existing testing materials. NEW METHOD The novel ThreeT retronasal odor identification test employs 20 flavored tablets that deliver a standardized amount of odorous stimuli. The items represent common food- and non-food-related odors. RESULTS The ThreeT test effectively distinguishes patients with olfactory dysfunction from healthy controls, achieving a specificity of 86% and sensitivity of 73%. Its scores remain stable for up to 3 months (r=.79). COMPARISON WITH EXISTING METHOD ThreeT test exhibits a strong correlation with "Tasteless powders" measure of retronasal olfaction (r=.78) and classifies people into healthy and patient groups with similar accuracy. Test-retest stability of ThreeT is slightly higher than the stability of "Tasteless powders" (r=.79 vs r=.74). CONCLUSIONS ThreeT is suitable for integration into scientific research and clinical practice to monitor retronasal odor identification abilities.
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Affiliation(s)
- Michal Pieniak
- Smell & Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Fetscherstrasse 74, Dresden 01307, Germany; Institute of Psychology, University of Wroclaw, Wroclaw, Poland
| | - Can Tutar
- Smell & Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Fetscherstrasse 74, Dresden 01307, Germany
| | - Wiktoria Jedryczka
- Smell & Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Fetscherstrasse 74, Dresden 01307, Germany; Institute of Psychology, University of Wroclaw, Wroclaw, Poland
| | - Hakim Benkhatar
- Centre Hospitalier de Versailles, Service ORL et Chirurgie Cervico-Faciale, Le Chesnay-Rocquencourt, France
| | | | - Antje Haehner
- Smell & Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Fetscherstrasse 74, Dresden 01307, Germany
| | - Thomas Hummel
- Smell & Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Fetscherstrasse 74, Dresden 01307, Germany.
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Croijmans I, Pellegrino R, Janice Wang Q. Demystifying wine expertise through the lens of imagination: Descriptions and imagery vividness across sensory modalities. Food Res Int 2024; 182:114159. [PMID: 38519163 DOI: 10.1016/j.foodres.2024.114159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 02/09/2024] [Accepted: 02/17/2024] [Indexed: 03/24/2024]
Abstract
For most untrained novices, talking about wine or imagining the smells and flavours of wine is difficult. Wine experts, on the other hand, have been found to have better imagery for wine, and are also more proficient in describing wine. Some scholars have suggested that imagery and language are based on similar underlying processes, but no conclusive evidence has been found regarding mental imagery and language production. In this study, we examined the relationship between imagery and language use in both novices and experts. In an online experiment, wine experts and novices were asked to imagine the colour, smell, taste and mouthfeel of wines in different situations, and were asked to rate the vividness of the imagined experience as well as describe it with words. The results show that experts differ from novices on a number of linguistic measures when describing wine, including the number of words used, the type of words used, the concreteness of those words, and the adjective to noun ratio. Similarly, imagery for wine was more vivid in wine experts compared to novices in the modalities of smell, taste, and mouthfeel, in alignment with previous work. Surprisingly, we found that no single linguistic variable significantly predicted the reported vividness of wine imagery, neither in experts nor in novices. However, the linguistic model predicted imagery vividness better using data from experts compared to novices. Taken together, these findings underscore that imagery and language are different facets of wine cognition.
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Affiliation(s)
- Ilja Croijmans
- Centre for Language Studies, Radboud University, Nijmegen, the Netherlands.
| | | | - Qian Janice Wang
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
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Zhang D, Lao F, Pan X, Li J, Yuan L, Li M, Cai Y, Wu J. Enhancement effect of odor and multi-sensory superposition on sweetness. Compr Rev Food Sci Food Saf 2023; 22:4871-4889. [PMID: 37755237 DOI: 10.1111/1541-4337.13245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 08/26/2023] [Accepted: 09/04/2023] [Indexed: 09/28/2023]
Abstract
The impact of sugary foods on public health has contributed to the development of low-sugar and sugar-substituted products, and sugar reduction has become a major challenge for the food industry. There is growing empirical evidence that odor can enhance the perception of sweetness without increasing the caloric load. This current review summarizes the researches on odor-induced sweetness enhancement published in recent years and discusses the mechanisms and influencing factors of odor-sweetness interactions. In addition, by combing existing studies, this paper also summarizes the research methods and strategies to investigate odor-induced sweetness enhancement. Finally, the feasibility of synergistic enhancement of sweetness through the superposition of odor with other senses (texture, visual, etc.) is also discussed and analyzed. In conclusion, odor-induced sweetness enhancement may present an alternative or complementary approach for developing foods with less sugar.
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Affiliation(s)
- Donghao Zhang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
| | - Fei Lao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
| | - Xin Pan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
| | - Jing Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
| | - Lin Yuan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
| | - Meilun Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
| | - Yanpei Cai
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
| | - Jihong Wu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- National Engineering Research Center for Fruit & Vegetable Processing, Beijing, China
- Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory for Food Non-thermal Processing, Beijing, China
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Bontempi C, Corbelin P, Brand G, Jacquot L. Ortho‐ and Retronasal stimulations with specific food odours: Hedonic and familiarity ratings are related to chemosensory pleasure scale (
CPS
) scores. FLAVOUR FRAG J 2023. [DOI: 10.1002/ffj.3743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Affiliation(s)
| | | | - Gérard Brand
- Centre des Sciences du Goût et de l'Alimentation Université Bourgogne Franche‐Comté, CNRS, Inrae AgroSup Dijon F‐21000 Dijon France
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Hörberg T, Larsson M, Olofsson JK. The Semantic Organization of the English Odor Vocabulary. Cogn Sci 2022; 46:e13205. [PMID: 36334010 DOI: 10.1111/cogs.13205] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 09/06/2022] [Accepted: 09/16/2022] [Indexed: 11/11/2022]
Abstract
The vocabulary for describing odors in English natural language is not well understood, as prior studies of odor descriptions have often relied on preselected descriptors and odor ratings. Here, we present a data-driven approach that automatically identifies English odor descriptors based on their degree of olfactory association, and derive their semantic organization from their distributions in natural texts, using a distributional-semantic language model. We identify 243 descriptors that are much more strongly associated with olfaction than English words in general. We then derive the semantic organization of these olfactory descriptors, and find that it is captured by four clusters that we name Offensive, Malodorous, Fragrant, and Edible. The semantic space derived from our model primarily differentiates descriptors in terms of pleasantness and edibility along which our four clusters are positioned, and is similar to a space derived from perceptual data. The semantic organization of odor vocabulary can thus be mapped using natural language data (e.g., online text), without the limitations of odor-perceptual data and preselected descriptors. Our method may thus facilitate research on olfaction, a sensory system known to often elude verbal description.
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Veldhuizen MG, Cecchetto C, Fjaeldstad AW, Farruggia MC, Hartig R, Nakamura Y, Pellegrino R, Yeung AWK, Fischmeister FPS. Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges. Front Syst Neurosci 2022; 16:885304. [PMID: 35707745 PMCID: PMC9190244 DOI: 10.3389/fnsys.2022.885304] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 04/13/2022] [Indexed: 01/14/2023] Open
Abstract
Ecological chemosensory stimuli almost always evoke responses in more than one sensory system. Moreover, any sensory processing takes place along a hierarchy of brain regions. So far, the field of chemosensory neuroimaging is dominated by studies that examine the role of brain regions in isolation. However, to completely understand neural processing of chemosensation, we must also examine interactions between regions. In general, the use of connectivity methods has increased in the neuroimaging field, providing important insights to physical sensory processing, such as vision, audition, and touch. A similar trend has been observed in chemosensory neuroimaging, however, these established techniques have largely not been rigorously applied to imaging studies on the chemical senses, leaving network insights overlooked. In this article, we first highlight some recent work in chemosensory connectomics and we summarize different connectomics techniques. Then, we outline specific challenges for chemosensory connectome neuroimaging studies. Finally, we review best practices from the general connectomics and neuroimaging fields. We recommend future studies to develop or use the following methods we perceive as key to improve chemosensory connectomics: (1) optimized study designs, (2) reporting guidelines, (3) consensus on brain parcellations, (4) consortium research, and (5) data sharing.
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Affiliation(s)
- Maria G. Veldhuizen
- Department of Anatomy, Faculty of Medicine, Mersin University, Mersin, Turkey
| | - Cinzia Cecchetto
- Department of General Psychology, University of Padova, Padua, Italy
| | - Alexander W. Fjaeldstad
- Flavour Clinic, Department of Otorhinolaryngology, Regional Hospital West Jutland, Holstebro, Denmark
| | - Michael C. Farruggia
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, United States
| | - Renée Hartig
- Department of Psychiatry and Psychotherapy, University Medical Center, Johannes Gutenberg University of Mainz, Mainz, Germany
- Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Functional and Comparative Neuroanatomy Laboratory, Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Yuko Nakamura
- The Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | | | - Andy W. K. Yeung
- Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Florian Ph. S. Fischmeister
- Institute of Psychology, University of Graz, Graz, Austria
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- BioTechMed-Graz, Graz, Austria
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Vitorino G, Mota M, Malfeito-Ferreira M. Characterization of sensory perceptions elicited by white wine spiked with different aroma, taste and mouth-feel active molecules. CIÊNCIA E TÉCNICA VITIVINÍCOLA 2021. [DOI: 10.1051/ctv/ctv20213602139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The present work was aimed at understanding the sensory responses induced by dry white wine modified with increasing concentrations of different sensory active molecules. The tasting panel was composed by 34 trained subjects characterized according to gender, smoking habits, 6-n-propylthiouracil (PROP) taster status, and sensitivity to tartaric acid, tannic acid and sucrose. Additional taste/mouthfeel responsiveness was evaluated in a basal white wine added of tartaric acid, tannic acid and sucrose. The addition of a fruity odorant mixture to the base white wine enabled the assessment of orthonasal aroma and taste intensities (sweetness, sourness, saltiness). The diversity of taste/mouthfeel responsiveness in water or wine enabled to group individuals as high or low sensitives. Likewise, the tasting panel showed two groups responding differently to aroma and flavor. Both high and low aroma sensitivity individuals showed equal (p>0.05) and congruent response to in-mouth sweet flavor perception. Moreover, the high smell sensitive group was less sensitive to sourness and saltiness than the low smell sensitives for the spiked wines across all flavor concentrations. Differences in PROP taster status and sensitivity to other tastants in water solutions were not correlated with the taste/mouthfeel perceptions in wine. The individuals most sensitive to sucrose in wine taste showed higher response to the fruity aroma. In conclusion, taste, mouthfeel and flavor perceptions showed a high variability among individuals evidencing the advantage of grouping tasters with different chemosensory sensitivities to understand cross-modal sensory interactions.
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