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Détail de l'auteur
Auteur A. E. LANE |
Documents disponibles écrits par cet auteur (2)
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Caregiver Burden Varies by Sensory Subtypes and Sensory Dimension Scores of Children with Autism / B. N. HAND in Journal of Autism and Developmental Disorders, 48-4 (April 2018)
[article]
Titre : Caregiver Burden Varies by Sensory Subtypes and Sensory Dimension Scores of Children with Autism Type de document : Texte imprimé et/ou numérique Auteurs : B. N. HAND, Auteur ; A. E. LANE, Auteur ; P. DE BOECK, Auteur ; D. M. BASSO, Auteur ; D. S. NICHOLS-LARSEN, Auteur ; Amy R. DARRAGH, Auteur Article en page(s) : p.1133-1146 Langues : Anglais (eng) Mots-clés : Autism Caregiver burden Caregiver strain Pediatrics Sensory processing Sensory subtypes Index. décimale : PER Périodiques Résumé : Understanding characteristics associated with burden in caregivers of children with autism spectrum disorder (ASD) is critical due to negative health consequences. We explored the association between child sensory subtype, sensory dimension scores, and caregiver burden. A national survey of caregivers of children with ASD aged 5-13 years was conducted (n = 367). The relationship between variables of interest and indicators of caregiver burden, including health-related quality of life (HRQOL) and caregiver strain, was examined with canonical correlation analyses. Caregiver strain was, but caregiver HRQOL was not, significantly associated with child sensory subtype and sensory dimension scores. Caregiver age, child age, and household income were also associated with caregiver strain. Potential explanatory mechanisms for these findings, derived from published qualitative studies, are discussed. En ligne : http://dx.doi.org/10.1007/s10803-017-3348-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=351
in Journal of Autism and Developmental Disorders > 48-4 (April 2018) . - p.1133-1146[article] Caregiver Burden Varies by Sensory Subtypes and Sensory Dimension Scores of Children with Autism [Texte imprimé et/ou numérique] / B. N. HAND, Auteur ; A. E. LANE, Auteur ; P. DE BOECK, Auteur ; D. M. BASSO, Auteur ; D. S. NICHOLS-LARSEN, Auteur ; Amy R. DARRAGH, Auteur . - p.1133-1146.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 48-4 (April 2018) . - p.1133-1146
Mots-clés : Autism Caregiver burden Caregiver strain Pediatrics Sensory processing Sensory subtypes Index. décimale : PER Périodiques Résumé : Understanding characteristics associated with burden in caregivers of children with autism spectrum disorder (ASD) is critical due to negative health consequences. We explored the association between child sensory subtype, sensory dimension scores, and caregiver burden. A national survey of caregivers of children with ASD aged 5-13 years was conducted (n = 367). The relationship between variables of interest and indicators of caregiver burden, including health-related quality of life (HRQOL) and caregiver strain, was examined with canonical correlation analyses. Caregiver strain was, but caregiver HRQOL was not, significantly associated with child sensory subtype and sensory dimension scores. Caregiver age, child age, and household income were also associated with caregiver strain. Potential explanatory mechanisms for these findings, derived from published qualitative studies, are discussed. En ligne : http://dx.doi.org/10.1007/s10803-017-3348-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=351 Robust features for the automatic identification of autism spectrum disorder in children / J. ELDRIDGE in Journal of Neurodevelopmental Disorders, 6-1 (December 2014)
[article]
Titre : Robust features for the automatic identification of autism spectrum disorder in children Type de document : Texte imprimé et/ou numérique Auteurs : J. ELDRIDGE, Auteur ; A. E. LANE, Auteur ; M. BELKIN, Auteur ; S. DENNIS, Auteur Article en page(s) : p.12 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Classification Eeg Event-related potential Index. décimale : PER Périodiques Résumé : BACKGROUND: It is commonly reported that children with autism spectrum disorder (ASD) exhibit hyper-reactivity or hypo-reactivity to sensory stimuli. Electroencephalography (EEG) is commonly used to study neural sensory reactivity, suggesting that statistical analysis of EEG recordings is a potential means of automatic classification of the disorder. EEG recordings taken from children, however, are frequently contaminated with large amounts of noise, making analysis difficult. In this paper, we present a method for the automatic extraction of noise-robust EEG features, which serve to quantify neural sensory reactivity. We show the efficacy of a system for the classification of ASD using these features. METHODS: An oddball paradigm was used to elicit event-related potentials from a group of 19 ASD children and 30 typically developing children. EEG recordings were taken and robust features were extracted. A support vector machine, logistic regression, and a naive Bayes classifier were used to classify the children as having ASD or being typically developing. RESULTS: A classification accuracy of 79% was achieved, making our method competitive with other automatic diagnosis methods based on EEG. Additionally, we found that classification performance is reduced if eye blink artifacts are removed during preprocessing. CONCLUSIONS: This study shows that robust EEG features that quantify neural sensory reactivity are useful for the classification of ASD. We showed that noise-robust features are crucial for our analysis, and observe that traditional preprocessing methods may lead to poor classification performance in the face of a large amount of noise. Further exploration of alternative preprocessing methods is warranted. En ligne : http://dx.doi.org/10.1186/1866-1955-6-12 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=346
in Journal of Neurodevelopmental Disorders > 6-1 (December 2014) . - p.12[article] Robust features for the automatic identification of autism spectrum disorder in children [Texte imprimé et/ou numérique] / J. ELDRIDGE, Auteur ; A. E. LANE, Auteur ; M. BELKIN, Auteur ; S. DENNIS, Auteur . - p.12.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 6-1 (December 2014) . - p.12
Mots-clés : Autism spectrum disorder Classification Eeg Event-related potential Index. décimale : PER Périodiques Résumé : BACKGROUND: It is commonly reported that children with autism spectrum disorder (ASD) exhibit hyper-reactivity or hypo-reactivity to sensory stimuli. Electroencephalography (EEG) is commonly used to study neural sensory reactivity, suggesting that statistical analysis of EEG recordings is a potential means of automatic classification of the disorder. EEG recordings taken from children, however, are frequently contaminated with large amounts of noise, making analysis difficult. In this paper, we present a method for the automatic extraction of noise-robust EEG features, which serve to quantify neural sensory reactivity. We show the efficacy of a system for the classification of ASD using these features. METHODS: An oddball paradigm was used to elicit event-related potentials from a group of 19 ASD children and 30 typically developing children. EEG recordings were taken and robust features were extracted. A support vector machine, logistic regression, and a naive Bayes classifier were used to classify the children as having ASD or being typically developing. RESULTS: A classification accuracy of 79% was achieved, making our method competitive with other automatic diagnosis methods based on EEG. Additionally, we found that classification performance is reduced if eye blink artifacts are removed during preprocessing. CONCLUSIONS: This study shows that robust EEG features that quantify neural sensory reactivity are useful for the classification of ASD. We showed that noise-robust features are crucial for our analysis, and observe that traditional preprocessing methods may lead to poor classification performance in the face of a large amount of noise. Further exploration of alternative preprocessing methods is warranted. En ligne : http://dx.doi.org/10.1186/1866-1955-6-12 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=346