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Détail de l'auteur
Auteur Katarzyna CHAWARSKA |
Documents disponibles écrits par cet auteur (52)
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The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) feasibility study / Erin C. BARNEY ; Adam J. NAPLES ; Kelsey J. DOMMER ; Shou An CHANG ; Beibin LI ; Takumi MCALLISTER ; Adham ATYABI ; Quan WANG ; Raphael BERNIER ; Geraldine DAWSON ; James DZIURA ; Susan FAJA ; Shafali Spurling JESTE ; Michael MURIAS ; Scott P. JOHNSON ; Maura SABATOS-DEVITO ; Gerhard HELLEMAN ; Damla SENTURK ; Catherine A. SUGAR ; Sara Jane WEBB ; James C. MCPARTLAND ; Katarzyna CHAWARSKA ; The Autism Biomarkers Consortium for Clinical TRIALS in Autism Research, 16-11 (November 2023)
[article]
Titre : The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) feasibility study Type de document : Texte imprimé et/ou numérique Auteurs : Erin C. BARNEY, Auteur ; Adam J. NAPLES, Auteur ; Kelsey J. DOMMER, Auteur ; Shou An CHANG, Auteur ; Beibin LI, Auteur ; Takumi MCALLISTER, Auteur ; Adham ATYABI, Auteur ; Quan WANG, Auteur ; Raphael BERNIER, Auteur ; Geraldine DAWSON, Auteur ; James DZIURA, Auteur ; Susan FAJA, Auteur ; Shafali Spurling JESTE, Auteur ; Michael MURIAS, Auteur ; Scott P. JOHNSON, Auteur ; Maura SABATOS-DEVITO, Auteur ; Gerhard HELLEMAN, Auteur ; Damla SENTURK, Auteur ; Catherine A. SUGAR, Auteur ; Sara Jane WEBB, Auteur ; James C. MCPARTLAND, Auteur ; Katarzyna CHAWARSKA, Auteur ; The Autism Biomarkers Consortium for Clinical TRIALS, Auteur Article en page(s) : p.2150-2159 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract The Selective Social Attention (SSA) task is a brief eye-tracking task involving experimental conditions varying along socio-communicative axes. Traditionally the SSA has been used to probe socially-specific attentional patterns in infants and toddlers who develop autism spectrum disorder (ASD). This current work extends these findings to preschool and school-age children. Children 4- to 12-years-old with ASD (N=23) and a typically-developing comparison group (TD; N=25) completed the SSA task as well as standardized clinical assessments. Linear mixed models examined group and condition effects on two outcome variables: percent of time spent looking at the scene relative to scene presentation time (%Valid), and percent of time looking at the face relative to time spent looking at the scene (%Face). Age and IQ were included as covariates. Outcome variables' relationships to clinical data were assessed via correlation analysis. The ASD group, compared to the TD group, looked less at the scene and focused less on the actress' face during the most socially-engaging experimental conditions. Additionally, within the ASD group, %Face negatively correlated with SRS total T-scores with a particularly strong negative correlation with the Autistic Mannerism subscale T-score. These results highlight the extensibility of the SSA to older children with ASD, including replication of between-group differences previously seen in infants and toddlers, as well as its ability to capture meaningful clinical variation within the autism spectrum across a wide developmental span inclusive of preschool and school-aged children. The properties suggest that the SSA may have broad potential as a biomarker for ASD. En ligne : https://doi.org/10.1002/aur.3026 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=517
in Autism Research > 16-11 (November 2023) . - p.2150-2159[article] The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) feasibility study [Texte imprimé et/ou numérique] / Erin C. BARNEY, Auteur ; Adam J. NAPLES, Auteur ; Kelsey J. DOMMER, Auteur ; Shou An CHANG, Auteur ; Beibin LI, Auteur ; Takumi MCALLISTER, Auteur ; Adham ATYABI, Auteur ; Quan WANG, Auteur ; Raphael BERNIER, Auteur ; Geraldine DAWSON, Auteur ; James DZIURA, Auteur ; Susan FAJA, Auteur ; Shafali Spurling JESTE, Auteur ; Michael MURIAS, Auteur ; Scott P. JOHNSON, Auteur ; Maura SABATOS-DEVITO, Auteur ; Gerhard HELLEMAN, Auteur ; Damla SENTURK, Auteur ; Catherine A. SUGAR, Auteur ; Sara Jane WEBB, Auteur ; James C. MCPARTLAND, Auteur ; Katarzyna CHAWARSKA, Auteur ; The Autism Biomarkers Consortium for Clinical TRIALS, Auteur . - p.2150-2159.
Langues : Anglais (eng)
in Autism Research > 16-11 (November 2023) . - p.2150-2159
Index. décimale : PER Périodiques Résumé : Abstract The Selective Social Attention (SSA) task is a brief eye-tracking task involving experimental conditions varying along socio-communicative axes. Traditionally the SSA has been used to probe socially-specific attentional patterns in infants and toddlers who develop autism spectrum disorder (ASD). This current work extends these findings to preschool and school-age children. Children 4- to 12-years-old with ASD (N=23) and a typically-developing comparison group (TD; N=25) completed the SSA task as well as standardized clinical assessments. Linear mixed models examined group and condition effects on two outcome variables: percent of time spent looking at the scene relative to scene presentation time (%Valid), and percent of time looking at the face relative to time spent looking at the scene (%Face). Age and IQ were included as covariates. Outcome variables' relationships to clinical data were assessed via correlation analysis. The ASD group, compared to the TD group, looked less at the scene and focused less on the actress' face during the most socially-engaging experimental conditions. Additionally, within the ASD group, %Face negatively correlated with SRS total T-scores with a particularly strong negative correlation with the Autistic Mannerism subscale T-score. These results highlight the extensibility of the SSA to older children with ASD, including replication of between-group differences previously seen in infants and toddlers, as well as its ability to capture meaningful clinical variation within the autism spectrum across a wide developmental span inclusive of preschool and school-aged children. The properties suggest that the SSA may have broad potential as a biomarker for ASD. En ligne : https://doi.org/10.1002/aur.3026 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=517 What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT / Synnve SCHJØLBERG in Autism Research, 15-2 (February 2022)
[article]
Titre : What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT Type de document : Texte imprimé et/ou numérique Auteurs : Synnve SCHJØLBERG, Auteur ; F. SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; N. STENBERG, Auteur ; T. TORSKE, Auteur ; K. LARSEN, Auteur ; K. RILEY, Auteur ; D. G. SUKHODOLSKY, Auteur ; J. F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur Article en page(s) : p.296-304 Langues : Anglais (eng) Mots-clés : children early detection psychometrics (includes financial disclosures): None Index. décimale : PER Périodiques Résumé : The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18?months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives. En ligne : http://dx.doi.org/10.1002/aur.2643 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450
in Autism Research > 15-2 (February 2022) . - p.296-304[article] What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT [Texte imprimé et/ou numérique] / Synnve SCHJØLBERG, Auteur ; F. SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; N. STENBERG, Auteur ; T. TORSKE, Auteur ; K. LARSEN, Auteur ; K. RILEY, Auteur ; D. G. SUKHODOLSKY, Auteur ; J. F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur . - p.296-304.
Langues : Anglais (eng)
in Autism Research > 15-2 (February 2022) . - p.296-304
Mots-clés : children early detection psychometrics (includes financial disclosures): None Index. décimale : PER Périodiques Résumé : The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18?months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives. En ligne : http://dx.doi.org/10.1002/aur.2643 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450