Detection of odorants in odour mixtures among healthy people and patients with olfactory dysfunction

IF 2.7 4区 医学 Q3 NEUROSCIENCES European Journal of Neuroscience Pub Date : 2025-01-13 DOI:10.1111/ejn.16633
Eva Drnovsek, Kristina Weitkamp, Venkatesh N. Murthy, Edanur Gurbuz, Antje Haehner, Thomas Hummel
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Abstract

Target odorant detection in mixtures has been shown to become more difficult as the number of background odorants increases and falls below chance level in mixtures with 16 components. Our aim was to investigate target odorant detection in mixtures among healthy people and compare it between dysosmic patients and age- and gender-matched controls. Participants underwent extensive olfactory testing and performed two target odorant detection tasks. Eugenol (‘clove’) and phenylethanol (PEA, ‘rose’) were target odorants for all participants, whereas a third target was randomised. For each target odorant in task one (task two), there were four steps. Mixtures contained two (three) odorants in the first step and up to seven (eight) odorants in the fourth step. In each step, participants were asked to choose the sample with the target odorant from the three (two) jars presented. The study included 90 healthy people and 40 patients. As expected, probability of successful target odorant detection decreased as the number of odorants in the mixture increased. However, even when there were seven (eight) odorants in the mixture, around 50% (50%) of healthy people detected Eugenol and around 30% (40%) detected PEA. Furthermore, both distributions of successful target odorant detection differed from the expected binominal distribution of chance (p < 0.001). Patients performed worse at detecting Eugenol or PEA at each step than controls. Furthermore, there were significant positive correlations between task scores and olfactory function. In conclusion, target odorant detection is influenced by the target odorant, number of background odorants, and individual olfactory function.

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健康人与嗅觉功能障碍患者混合气味中气味成分的检测。
随着背景气味数量的增加,在含有16种成分的混合物中,目标气味的检测变得更加困难。我们的目的是研究健康人群混合物中目标气味的检测,并将嗅觉障碍患者与年龄和性别匹配的对照组进行比较。参与者进行了广泛的嗅觉测试,并执行了两个目标气味检测任务。丁香酚(丁香)和苯乙醇(PEA,玫瑰)是所有参与者的目标气味剂,而第三个目标是随机的。对于任务一(任务二)中的每个目标气味,有四个步骤。混合物在第一步中含有两(三)种气味剂,在第四步中含有多达七(八)种气味剂。在每个步骤中,参与者被要求从呈现的三(两个)罐中选择具有目标气味的样品。这项研究包括90名健康人和40名患者。正如预期的那样,成功检测目标气味的概率随着混合物中气味数量的增加而降低。然而,即使混合物中有7(8)种气味,约50%(50%)的健康人检测到丁香酚,约30%(40%)的健康人检测到PEA。此外,成功的目标气味检测的两个分布不同于预期的二项分布的机会(p
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来源期刊
European Journal of Neuroscience
European Journal of Neuroscience 医学-神经科学
CiteScore
7.10
自引率
5.90%
发文量
305
审稿时长
3.5 months
期刊介绍: EJN is the journal of FENS and supports the international neuroscientific community by publishing original high quality research articles and reviews in all fields of neuroscience. In addition, to engage with issues that are of interest to the science community, we also publish Editorials, Meetings Reports and Neuro-Opinions on topics that are of current interest in the fields of neuroscience research and training in science. We have recently established a series of ‘Profiles of Women in Neuroscience’. Our goal is to provide a vehicle for publications that further the understanding of the structure and function of the nervous system in both health and disease and to provide a vehicle to engage the neuroscience community. As the official journal of FENS, profits from the journal are re-invested in the neuroscientific community through the activities of FENS.
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