Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/37310 |
Resumo: | Abnormal sensory perception is among the earliest symptoms of autism spectrum disorders (ASD). Despite mixed findings, olfactory perception seems to be altered in ASD. There is also evidence that automatic responses to odours can serve as biomarkers of ASD. However, this potential use of odour-based biomarkers for ASD is still underexplored. In this study, we aimed to investigate whether physiological responses to social and non-social odours, measured with electrocardiography (ECG) and facial electromyography (EMG), can be used to characterise and predict ASD in adults. For that, we extracted 32 signal features from a previously collected database of 11 adults with ASD and 48 adults with typical development (TD). Firstly, non-parametric tests were performed, showing significant differences between the ASD and the TD groups in 10 features. Secondly, a k-nearest-neighbour classifier with a leave-one-out strategy was employed, obtaining an F1-score of 67%. Although caution is needed due to the small sample size, this study provides preliminary evidence supporting the use of physiological responses to social and non-social odours as a potential diagnostic tool for ASD in adults. |
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Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary studyAutism spectrum disordersOdoursOlfactionFacial EMGECGMachine learningAbnormal sensory perception is among the earliest symptoms of autism spectrum disorders (ASD). Despite mixed findings, olfactory perception seems to be altered in ASD. There is also evidence that automatic responses to odours can serve as biomarkers of ASD. However, this potential use of odour-based biomarkers for ASD is still underexplored. In this study, we aimed to investigate whether physiological responses to social and non-social odours, measured with electrocardiography (ECG) and facial electromyography (EMG), can be used to characterise and predict ASD in adults. For that, we extracted 32 signal features from a previously collected database of 11 adults with ASD and 48 adults with typical development (TD). Firstly, non-parametric tests were performed, showing significant differences between the ASD and the TD groups in 10 features. Secondly, a k-nearest-neighbour classifier with a leave-one-out strategy was employed, obtaining an F1-score of 67%. Although caution is needed due to the small sample size, this study provides preliminary evidence supporting the use of physiological responses to social and non-social odours as a potential diagnostic tool for ASD in adults.MDPI2023-04-24T10:56:15Z2023-02-02T00:00:00Z2023-02-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/37310eng10.3390/app13031970Pereira, LaraGrave, JoanaNoll, JaninaDerntl, BirgitSoares, Sandra C.Brás, SusanaSebastião, Raquelinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:11:50Zoai:ria.ua.pt:10773/37310Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:51.901803Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study |
title |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study |
spellingShingle |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study Pereira, Lara Autism spectrum disorders Odours Olfaction Facial EMG ECG Machine learning |
title_short |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study |
title_full |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study |
title_fullStr |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study |
title_full_unstemmed |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study |
title_sort |
Characterisation of physiological responses to odours in autism spectrum disorders: a preliminary study |
author |
Pereira, Lara |
author_facet |
Pereira, Lara Grave, Joana Noll, Janina Derntl, Birgit Soares, Sandra C. Brás, Susana Sebastião, Raquel |
author_role |
author |
author2 |
Grave, Joana Noll, Janina Derntl, Birgit Soares, Sandra C. Brás, Susana Sebastião, Raquel |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Pereira, Lara Grave, Joana Noll, Janina Derntl, Birgit Soares, Sandra C. Brás, Susana Sebastião, Raquel |
dc.subject.por.fl_str_mv |
Autism spectrum disorders Odours Olfaction Facial EMG ECG Machine learning |
topic |
Autism spectrum disorders Odours Olfaction Facial EMG ECG Machine learning |
description |
Abnormal sensory perception is among the earliest symptoms of autism spectrum disorders (ASD). Despite mixed findings, olfactory perception seems to be altered in ASD. There is also evidence that automatic responses to odours can serve as biomarkers of ASD. However, this potential use of odour-based biomarkers for ASD is still underexplored. In this study, we aimed to investigate whether physiological responses to social and non-social odours, measured with electrocardiography (ECG) and facial electromyography (EMG), can be used to characterise and predict ASD in adults. For that, we extracted 32 signal features from a previously collected database of 11 adults with ASD and 48 adults with typical development (TD). Firstly, non-parametric tests were performed, showing significant differences between the ASD and the TD groups in 10 features. Secondly, a k-nearest-neighbour classifier with a leave-one-out strategy was employed, obtaining an F1-score of 67%. Although caution is needed due to the small sample size, this study provides preliminary evidence supporting the use of physiological responses to social and non-social odours as a potential diagnostic tool for ASD in adults. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04-24T10:56:15Z 2023-02-02T00:00:00Z 2023-02-02 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/37310 |
url |
http://hdl.handle.net/10773/37310 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.3390/app13031970 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137732532895744 |