Effects of familiarization on odor hedonic responses and food choices in children with autism spectrum disorders

Luisier, Anne-Claude; Petitpierre, Geneviève; Bérod, Annick Clerc; Garcia‐Burgos, David; Bensafi, Moustafa

doi:10.1177/1362361318815252

Cited by 16 publications

(10 citation statements)

References 62 publications

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“…It appears that both models are highly similar. The positive correlations between F and V for pleasant odors [12,[51][52][53][67][68][69][70][71][72][73], and between F and I [52,70], and between I and A [12,14,56,57] that have been reported in the literature, also emerge in both networks. Other known relations, such as the negative correlations between BV and T [86,147,148], and between I and V [55], also consistently emerge in both models.…”

Section: Discussionsupporting

confidence: 56%

A network model of affective odor perception

Yingxuan¹,

Toet²,

Krone³

et al. 2020

PLoS ONE

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The affective appraisal of odors is known to depend on their intensity (I), familiarity (F), detection threshold (T), and on the baseline affective state of the observer. However, the exact nature of these relations is still largely unknown. We therefore performed an observer experiment in which participants (N = 52) smelled 40 different odors (varying widely in hedonic valence) and reported the intensity, familiarity and their affective appraisal (valence and arousal: V and A) for each odor. Also, we measured the baseline affective state (valence and arousal: BV and BA) and odor detection threshold of the participants. Analyzing the results for pleasant and unpleasant odors separately, we obtained two models through network analysis. Several relations that have previously been reported in the literature also emerge in both models (the relations between F and I, F and V, I and A; I and V, BV and T). However, there are also relations that do not emerge (between BA and V, BV and I, and T and I) or that appear with a different polarity (the relation between F and A for pleasant odors). Intensity (I) has the largest impact on the affective appraisal of unpleasant odors, while F significantly contributes to the appraisal of pleasant odors. T is only affected by BV and has no effect on other variables. This study is a first step towards an integral study of the affective appraisal of odors through network analysis. Future studies should also include other factors that are known to influence odor appraisal, such as age, gender, personality, and culture.

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Section: Discussionsupporting

confidence: 56%

A network model of affective odor perception

Yingxuan¹,

Toet²,

Krone³

et al. 2020

PLoS ONE

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“…Our results provide a new insight into the relationships between autistic traits, odor identification ability and olfactory trait hedonic capacity. Some studies have found that children with clinical and subclinical autistic traits as well as poor olfactory function showed more food neophobia behaviors (Luisier et al, 2015; Luisier, Petitpierre, Clerc Berod, Garcia‐Burgos, & Bensafi, 2019; Stafford et al, 2017; Wallace, Llewellyn, Fildes, & Ronald, 2018), which reduced the quality of life. Moreover, Qiu et al (2022) also found children with high autistic traits showed poor olfactory trait hedonic capacity, which may reduce the enjoyment of food and higher levels of food fussiness.…”

Section: Discussionmentioning

confidence: 99%

Impaired odor identification ability and olfactory hedonic capacity in children with elevated autistic traits

Huang

Qiu

Tan³

et al. 2022

Journal of Sensory Studies

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Atypical olfactory function in autism spectrum disorder has been documented in numerous studies, but little is known about its occurrence in individuals with autistic traits. The aim of the current study was to investigate odor identification ability and olfactory hedonic capacity in children with autistic traits. We recruited 415 children and measured their autistic traits by the Short Autism Spectrum Quotient. The Universal Sniff (U‐Sniff) test was used to measure odor identification ability and olfactory hedonic capacity. Olfactory hedonic capacity was also measured using the children's version of the Chemosensory Pleasure Scale (CPS‐C). Odor identification and olfactory hedonic capacity measured by CPS‐C were negatively correlated with autistic traits. Children with higher autistic traits exhibited poorer odor identification ability and olfactory trait hedonic capacity measured by CPS‐C but intact olfactory state hedonic capacity measured by odor pleasantness. These results pertaining to odor identification and olfactory hedonic capacity may be the endophenotypic markers for autism spectrum disorder. Practical Applications Our study extends the knowledge on children with high autistic traits and provides a new perspective on olfactory identification ability and olfactory hedonic capacity in children with high autistic traits. In addition, our findings suggest olfactory testing may provide a new approach for detecting and understanding autism.

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“…Digital game features could thus familiarize children to new food smells, increasing their familiarity without pressure of eating unwanted foods. As familiarity is strongly associated with liking and acceptance, this feature might reduce picky and fussy eating and reduce the risk for long-lasting food aversions (Luisier et al., 2019). Third, Exerscent enables new means of skills acquisition by food, drink, and fragrance professionals who may use Exerscent to cultivate both sensory and cognitive olfactory advantages (Croijmans et al., 2020).…”

Section: Discussionmentioning

confidence: 99%

A Method for Computerized Olfactory Assessment and Training Outside of Laboratory or Clinical Settings

Niedenthal¹,

Nilsson

Jernsäther

et al. 2021

i-Perception

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There are currently few ways to reliably and objectively assess olfaction outside of the research laboratory or clinic. The COVID-19 pandemic has highlighted the need for remote olfactory assessment; in particular, smell training at home is a promising method for olfactory rehabilitation, but further methodological advances might enhance its effectiveness and range of use. Here, we present Exerscent, a portable, low-cost olfactory display designed primarily for uses outside of the laboratory and that can be operated with a personal computer. Exerscent includes Radio Frequency Identification (RFID) tags that are attached to odor stimuli and read with a MFRC522 module RFID reader/antenna that encodes the odor in order to provide adaptive challenges for the user (e.g., an odor identification task). Hardware parts are commercially available or 3D printed. Instructions and code for building the Exerscent are freely available online ( https://osf.io/kwftm/ ). As a proof of concept, we present a case study in which a participant trained daily to identify 54 odors, improving from 81% to 96% accuracy over 16 consecutive days. In addition, results from a laboratory experiment with 11 volunteers indicated a very high level of perceived usability and engagement. Exerscent may be used for olfactory skills development (e.g., perfumery, enology), and rehabilitation purposes (e.g., postviral olfactory loss), but it also allows for other forms of technological interactions such as olfactory-based recreational interactions.

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Effects of familiarization on odor hedonic responses and food choices in children with autism spectrum disorders

Cited by 16 publications

References 62 publications

A network model of affective odor perception

A network model of affective odor perception

Impaired odor identification ability and olfactory hedonic capacity in children with elevated autistic traits

A Method for Computerized Olfactory Assessment and Training Outside of Laboratory or Clinical Settings

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