Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism / Kristelle HUDRY in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 36 Titre : Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism Type de document : texte imprimé Auteurs : Kristelle HUDRY, Auteur ; Lacey CHETCUTI, Auteur ; Diana Weiting TAN, Auteur ; Alena CLARK, Auteur ; Alexandra AULICH, Auteur ; Catherine A. BENT, Auteur ; Cherie C. GREEN, Auteur ; Jodie SMITH, Auteur ; Kathryn FORDYCE, Auteur ; Masaru NINOMIYA, Auteur ; Atsushi SAITO, Auteur ; Shuji HAKOSHIMA, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Kristelle HUDRY, Auteur ; Lacey CHETCUTI, Auteur ; Diana Weiting TAN, Auteur ; Alena CLARK, Auteur ; Alexandra AULICH, Auteur ; Catherine A. BENT, Auteur ; Cherie C. GREEN, Auteur ; Jodie SMITH, Auteur ; Kathryn FORDYCE, Auteur ; Masaru NINOMIYA, Auteur ; Atsushi SAITO, Auteur ; Shuji HAKOSHIMA, Auteur ; Andrew J. O. WHITEHOUSE, Auteur Article en page(s) : 36 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : BACKGROUND: Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children. METHODS: Community sampling (March 2019-March 2021) of 2:00–4:11 year-olds included children recruited into a diagnosed Autism Group (‘cases’) and Non-Autism ‘Control’ Group (with likely undiagnosed autism minimised). We recruited well beyond minimum necessary sample size to ensure within-group heterogeneity and allow exploratory subgroup analysis. Alongside Gazefinder eye-tracking attempted with all recruited participants, we collected parent-report measures for all children, and clinical/behavioural measures with autistic children. RESULTS: 102 autistic (81.4% male; M(age)= 44mths; SD = 8.8) and 101 non-autistic children (57.4% male; M = 40; SD = 10.5) were recruited and eligible; the former slightly older, proportionately more male, and reflecting greater socio-demographic diversity. Gazefinder autism assessment was completed with 101 non-autistic children (n = 1 returning minimal data), and attempted with 100- and completed with 96 autistic children (n = 2 not attempted following adverse responses to clinical testing; n = 4 attempted but unable to calibrate). The Non-Autism Group returned significantly more overall tracking data. The final Classification Algorithm (range 0-100; threshold score = 28.6)—derived from n = 196 children’s fixation durations to elements of social/non-social scenes, human face presentations, and referential attention trials—had AUC = 0.82 (sensitivity = 0.82, specificity = 0.70). Compared to those correctly classified, autistic children misclassified as ‘controls’ showed greater overall tracking, and less pronounced autism features and developmental disability. Compared to correctly classified non-autistic children, those misclassified as ‘cases’ were older with lower overall tracking. LIMITATIONS: Our groups differed on socio-demographic characteristics and overall tracking (included within the Classification Algorithm). We used the ‘Scene 10A’ stimulus set as provided, without update/modification. Industry employees who developed the final Algorithm were non-blinded to child group, and considered only gaze fixation durations. Community sampling and ‘case-control’ design—comparing diagnosed autistic vs. non-autistic children—could be improved via future referral-based recruitment. CONCLUSIONS: Most children tolerated Gazefinder autism assessment, and our Classification Algorithm properties approached those reported from other Gazefinder use and established clinical assessments. Independent replication is required, and research informing the most suitable clinical application of this technology. TRIAL REGISTRATION: ACTRN12619000317190 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-025-00670-4. En ligne : https://dx.doi.org/10.1186/s13229-025-00670-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569 [article] Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism [texte imprimé] / Kristelle HUDRY, Auteur ; Lacey CHETCUTI, Auteur ; Diana Weiting TAN, Auteur ; Alena CLARK, Auteur ; Alexandra AULICH, Auteur ; Catherine A. BENT, Auteur ; Cherie C. GREEN, Auteur ; Jodie SMITH, Auteur ; Kathryn FORDYCE, Auteur ; Masaru NINOMIYA, Auteur ; Atsushi SAITO, Auteur ; Shuji HAKOSHIMA, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Kristelle HUDRY, Auteur ; Lacey CHETCUTI, Auteur ; Diana Weiting TAN, Auteur ; Alena CLARK, Auteur ; Alexandra AULICH, Auteur ; Catherine A. BENT, Auteur ; Cherie C. GREEN, Auteur ; Jodie SMITH, Auteur ; Kathryn FORDYCE, Auteur ; Masaru NINOMIYA, Auteur ; Atsushi SAITO, Auteur ; Shuji HAKOSHIMA, Auteur ; Andrew J. O. WHITEHOUSE, Auteur . - 36. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 36 Index. décimale : PER Périodiques Résumé : BACKGROUND: Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children. METHODS: Community sampling (March 2019-March 2021) of 2:00–4:11 year-olds included children recruited into a diagnosed Autism Group (‘cases’) and Non-Autism ‘Control’ Group (with likely undiagnosed autism minimised). We recruited well beyond minimum necessary sample size to ensure within-group heterogeneity and allow exploratory subgroup analysis. Alongside Gazefinder eye-tracking attempted with all recruited participants, we collected parent-report measures for all children, and clinical/behavioural measures with autistic children. RESULTS: 102 autistic (81.4% male; M(age)= 44mths; SD = 8.8) and 101 non-autistic children (57.4% male; M = 40; SD = 10.5) were recruited and eligible; the former slightly older, proportionately more male, and reflecting greater socio-demographic diversity. Gazefinder autism assessment was completed with 101 non-autistic children (n = 1 returning minimal data), and attempted with 100- and completed with 96 autistic children (n = 2 not attempted following adverse responses to clinical testing; n = 4 attempted but unable to calibrate). The Non-Autism Group returned significantly more overall tracking data. The final Classification Algorithm (range 0-100; threshold score = 28.6)—derived from n = 196 children’s fixation durations to elements of social/non-social scenes, human face presentations, and referential attention trials—had AUC = 0.82 (sensitivity = 0.82, specificity = 0.70). Compared to those correctly classified, autistic children misclassified as ‘controls’ showed greater overall tracking, and less pronounced autism features and developmental disability. Compared to correctly classified non-autistic children, those misclassified as ‘cases’ were older with lower overall tracking. LIMITATIONS: Our groups differed on socio-demographic characteristics and overall tracking (included within the Classification Algorithm). We used the ‘Scene 10A’ stimulus set as provided, without update/modification. Industry employees who developed the final Algorithm were non-blinded to child group, and considered only gaze fixation durations. Community sampling and ‘case-control’ design—comparing diagnosed autistic vs. non-autistic children—could be improved via future referral-based recruitment. CONCLUSIONS: Most children tolerated Gazefinder autism assessment, and our Classification Algorithm properties approached those reported from other Gazefinder use and established clinical assessments. Independent replication is required, and research informing the most suitable clinical application of this technology. TRIAL REGISTRATION: ACTRN12619000317190 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-025-00670-4. En ligne : https://dx.doi.org/10.1186/s13229-025-00670-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569

Brief Report: Discrete Effortful Control Skills Moderate Relations Between Childhood Behavioural Inhibition and Mental Health Difficulties in Autistic Youth / Lacey CHETCUTI in Journal of Autism and Developmental Disorders, 53-1 (January 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-1 (January 2023) . - p.489-494 Titre : Brief Report: Discrete Effortful Control Skills Moderate Relations Between Childhood Behavioural Inhibition and Mental Health Difficulties in Autistic Youth Type de document : texte imprimé Auteurs : Lacey CHETCUTI, Auteur ; Amanda L. RICHDALE, Auteur ; Alexandra HASCHEK, Auteur ; Mirko ULJAREVIĆ, Auteur ; Lauren P. LAWSON, Auteur Article en page(s) : p.489-494 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Studies of the general population suggest that the risk for mental health difficulties conferred by dispositional behavioural inhibition (BI) may be modified by self-regulation; however, this possibility has not been explored in the context of autism. This study investigated the moderating effects of attentional-, activation-, and inhibitory control on the relationship between childhood BI and anxiety and depression among 47 autistic youths (55% male, Mage=19.09 years, SD=2.23). Childhood BI was associated with anxiety at low but not high levels of attentional- and activation control, and depression at low but not high levels of attentional control. However, there were no moderating effects of inhibitory control. These preliminary findings are partially consistent with those from the general population and point to avenues for future work. En ligne : https://doi.org/10.1007/s10803-021-05360-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493 [article] Brief Report: Discrete Effortful Control Skills Moderate Relations Between Childhood Behavioural Inhibition and Mental Health Difficulties in Autistic Youth [texte imprimé] / Lacey CHETCUTI, Auteur ; Amanda L. RICHDALE, Auteur ; Alexandra HASCHEK, Auteur ; Mirko ULJAREVIĆ, Auteur ; Lauren P. LAWSON, Auteur . - p.489-494. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-1 (January 2023) . - p.489-494 Index. décimale : PER Périodiques Résumé : Studies of the general population suggest that the risk for mental health difficulties conferred by dispositional behavioural inhibition (BI) may be modified by self-regulation; however, this possibility has not been explored in the context of autism. This study investigated the moderating effects of attentional-, activation-, and inhibitory control on the relationship between childhood BI and anxiety and depression among 47 autistic youths (55% male, Mage=19.09 years, SD=2.23). Childhood BI was associated with anxiety at low but not high levels of attentional- and activation control, and depression at low but not high levels of attentional control. However, there were no moderating effects of inhibitory control. These preliminary findings are partially consistent with those from the general population and point to avenues for future work. En ligne : https://doi.org/10.1007/s10803-021-05360-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493

Caregiver sensitivity predicts infant language use, and infant language complexity predicts caregiver language complexity, in the context of possible emerging autism / Jodie SMITH in Autism Research, 16-4 (April 2023)  

Public ISBD [article]  inAutism Research > 16-4 (April 2023) . - p.745-756 Titre : Caregiver sensitivity predicts infant language use, and infant language complexity predicts caregiver language complexity, in the context of possible emerging autism Type de document : texte imprimé Auteurs : Jodie SMITH, Auteur ; Lacey CHETCUTI, Auteur ; Lyndel KENNEDY, Auteur ; Kandice J. VARCIN, Auteur ; Vicky SLONIMS, Auteur ; Catherine A. BENT, Auteur ; Jonathan GREEN, Auteur ; Teresa IACONO, Auteur ; Sarah PILLAR, Auteur ; Carol TAYLOR, Auteur ; Ming Wai WAN, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Kristelle HUDRY, Auteur ; the AICES TEAM, Auteur Article en page(s) : p.745-756 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract While theory supports bidirectional effects between caregiver sensitivity and language use, and infant language acquisition-both caregiver-to-infant and also infant-to-caregiver effects-empirical research has chiefly explored the former unidirectional path. In the context of infants showing early signs of autism, we investigated prospective bidirectional associations with 6-min free-play interaction samples collected for 103 caregivers and their infants (mean age 12-months; and followed up 6-months later). We anticipated that measures of caregiver sensitivity/language input and infant language would show within-domain temporal stability/continuity, but also that there would be predictive associations from earlier caregiver input to subsequent child language, and vice versa. Caregiver sensitive responsiveness (from the Manchester Assessment of Caregiver-Infant interaction [MACI]) predicted subsequent infant word tokens (i.e., amount of language, coded following the Systematic Analysis of Language Transcripts [SALT]). Further, earlier infant Mean Length of Utterance (MLU; reflecting language complexity, also derived from SALT coding) predicted later caregiver MLU, even when controlling for variability in infant ages and clear within-domain temporal stability/continuity in key measures (i.e., caregiver sensitive responsiveness and infant word tokens; and infant and caregiver MLU). These data add empirical support to theorization on how caregiver input can be both supportive of, and potentially influenced by, infant capacities, when infants have social-communication differences and/or communication/language delays suggestive of possible emerging autism. En ligne : https://doi.org/10.1002/aur.2879 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 [article] Caregiver sensitivity predicts infant language use, and infant language complexity predicts caregiver language complexity, in the context of possible emerging autism [texte imprimé] / Jodie SMITH, Auteur ; Lacey CHETCUTI, Auteur ; Lyndel KENNEDY, Auteur ; Kandice J. VARCIN, Auteur ; Vicky SLONIMS, Auteur ; Catherine A. BENT, Auteur ; Jonathan GREEN, Auteur ; Teresa IACONO, Auteur ; Sarah PILLAR, Auteur ; Carol TAYLOR, Auteur ; Ming Wai WAN, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Kristelle HUDRY, Auteur ; the AICES TEAM, Auteur . - p.745-756. Langues : Anglais (eng) in Autism Research > 16-4 (April 2023) . - p.745-756 Index. décimale : PER Périodiques Résumé : Abstract While theory supports bidirectional effects between caregiver sensitivity and language use, and infant language acquisition-both caregiver-to-infant and also infant-to-caregiver effects-empirical research has chiefly explored the former unidirectional path. In the context of infants showing early signs of autism, we investigated prospective bidirectional associations with 6-min free-play interaction samples collected for 103 caregivers and their infants (mean age 12-months; and followed up 6-months later). We anticipated that measures of caregiver sensitivity/language input and infant language would show within-domain temporal stability/continuity, but also that there would be predictive associations from earlier caregiver input to subsequent child language, and vice versa. Caregiver sensitive responsiveness (from the Manchester Assessment of Caregiver-Infant interaction [MACI]) predicted subsequent infant word tokens (i.e., amount of language, coded following the Systematic Analysis of Language Transcripts [SALT]). Further, earlier infant Mean Length of Utterance (MLU; reflecting language complexity, also derived from SALT coding) predicted later caregiver MLU, even when controlling for variability in infant ages and clear within-domain temporal stability/continuity in key measures (i.e., caregiver sensitive responsiveness and infant word tokens; and infant and caregiver MLU). These data add empirical support to theorization on how caregiver input can be both supportive of, and potentially influenced by, infant capacities, when infants have social-communication differences and/or communication/language delays suggestive of possible emerging autism. En ligne : https://doi.org/10.1002/aur.2879 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499

Continuity of temperament subgroup classifications from infancy to toddlerhood in the context of early autism traits / Lacey CHETCUTI in Autism Research, 16-3 (March 2023)  

Public ISBD [article]  inAutism Research > 16-3 (March 2023) . - p.591-604 Titre : Continuity of temperament subgroup classifications from infancy to toddlerhood in the context of early autism traits Type de document : texte imprimé Auteurs : Lacey CHETCUTI, Auteur ; Mirko ULJAREVIĆ, Auteur ; Kandice J. VARCIN, Auteur ; Maryam BOUTRUS, Auteur ; Stefanie DIMOV, Auteur ; Sarah PILLAR, Auteur ; Josephine BARBARO, Auteur ; Cheryl DISSANAYAKE, Auteur ; Jonathan GREEN, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Kristelle HUDRY, Auteur ; the AICES TEAM, Auteur Article en page(s) : p.591-604 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Our previous cross-sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood. 103 infants (68% male) showing early signs of autism were referred to the study by community healthcare professionals and seen for assessments when aged around 12-months (Time 1), 18-months (Time 2), and 24-months (Time 3). Latent profile analysis revealed inhibited/low positive, active/negative reactive, and sociable/well-regulated subgroups at each timepoint, and a unique reactive/regulated subgroup at Time 3. Cross-tabulations indicated a significant likelihood of children having a recurrent subgroup classification from one timepoint to the next, and no apparent patterns to the movement of children who did change from one subgroup to another over time. Temperament subgroups were associated with concurrent child social-emotional functioning and autism traits, but unrelated to child age, sex, or developmental level. These findings suggest that temperament subgroup classifications might represent a reliable and very early indicator of autism characteristics and social-emotional functioning among infants/toddlers with autism traits. En ligne : https://doi.org/10.1002/aur.2874 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=498 [article] Continuity of temperament subgroup classifications from infancy to toddlerhood in the context of early autism traits [texte imprimé] / Lacey CHETCUTI, Auteur ; Mirko ULJAREVIĆ, Auteur ; Kandice J. VARCIN, Auteur ; Maryam BOUTRUS, Auteur ; Stefanie DIMOV, Auteur ; Sarah PILLAR, Auteur ; Josephine BARBARO, Auteur ; Cheryl DISSANAYAKE, Auteur ; Jonathan GREEN, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Kristelle HUDRY, Auteur ; the AICES TEAM, Auteur . - p.591-604. Langues : Anglais (eng) in Autism Research > 16-3 (March 2023) . - p.591-604 Index. décimale : PER Périodiques Résumé : Abstract Our previous cross-sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood. 103 infants (68% male) showing early signs of autism were referred to the study by community healthcare professionals and seen for assessments when aged around 12-months (Time 1), 18-months (Time 2), and 24-months (Time 3). Latent profile analysis revealed inhibited/low positive, active/negative reactive, and sociable/well-regulated subgroups at each timepoint, and a unique reactive/regulated subgroup at Time 3. Cross-tabulations indicated a significant likelihood of children having a recurrent subgroup classification from one timepoint to the next, and no apparent patterns to the movement of children who did change from one subgroup to another over time. Temperament subgroups were associated with concurrent child social-emotional functioning and autism traits, but unrelated to child age, sex, or developmental level. These findings suggest that temperament subgroup classifications might represent a reliable and very early indicator of autism characteristics and social-emotional functioning among infants/toddlers with autism traits. En ligne : https://doi.org/10.1002/aur.2874 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=498

Differential predictors of well-being versus mental health among parents of pre-schoolers with autism / Cherie C. GREEN in Autism, 25-4 (May 2021)  

Public ISBD [article]  inAutism > 25-4 (May 2021) . - p.1125-1136 Titre : Differential predictors of well-being versus mental health among parents of pre-schoolers with autism Type de document : texte imprimé Auteurs : Cherie C. GREEN, Auteur ; Jodie SMITH, Auteur ; Catherine A. BENT, Auteur ; Lacey CHETCUTI, Auteur ; Rhylee SULEK, Auteur ; Mirko ULJAREVIC, Auteur ; Kristelle HUDRY, Auteur Article en page(s) : p.1125-1136 Langues : Anglais (eng) Mots-clés : autism severity  mental health  mindfulness  parents  personality  well-being  young children Index. décimale : PER Périodiques Résumé : Raising a child with autism has been linked to mental health difficulties. Poor parental mental health is likely influenced by various factors - including child-, parent-, and family/socioeconomic characteristics. However, little is known about what influences and promotes well-being (as opposed to mental health) among parents of young, newly diagnosed autistic children who may be particularly vulnerable. We examined child-, parent-, and family/socioeconomic factors associated with each of mental health and well-being in a sample of 136 parents of pre-school-aged children. Parental mental health was linked to both child- (i.e. autism symptom severity) and parent-related factors (i.e. personality traits reflecting a tendency to experience negative emotions). By contrast, in additional to mental health difficulties, which were linked to well-being, only other parent-related characteristics (and not child characteristics) were related to well-being. These included personality traits reflecting a tendency to be more extraverted/sociable, and also mindfulness. Other child-related and family/socioeconomic context factors (including household income, parental education level) were not linked to parental mental health or well-being in this sample. These results support the idea that poorer mental health and well-being are not simply the opposite of one another. That is, while these two factors were related, they were linked to different personal characteristics. Perhaps most importantly, the link between well-being and mindfulness - a personal characteristic that parents can improve - suggests mindfulness-based interventions may be helpful in directly supporting parental well-being in the context of raising a young child with autism. En ligne : http://dx.doi.org/10.1177/1362361320984315 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444 [article] Differential predictors of well-being versus mental health among parents of pre-schoolers with autism [texte imprimé] / Cherie C. GREEN, Auteur ; Jodie SMITH, Auteur ; Catherine A. BENT, Auteur ; Lacey CHETCUTI, Auteur ; Rhylee SULEK, Auteur ; Mirko ULJAREVIC, Auteur ; Kristelle HUDRY, Auteur . - p.1125-1136. Langues : Anglais (eng) in Autism > 25-4 (May 2021) . - p.1125-1136 Mots-clés : autism severity  mental health  mindfulness  parents  personality  well-being  young children Index. décimale : PER Périodiques Résumé : Raising a child with autism has been linked to mental health difficulties. Poor parental mental health is likely influenced by various factors - including child-, parent-, and family/socioeconomic characteristics. However, little is known about what influences and promotes well-being (as opposed to mental health) among parents of young, newly diagnosed autistic children who may be particularly vulnerable. We examined child-, parent-, and family/socioeconomic factors associated with each of mental health and well-being in a sample of 136 parents of pre-school-aged children. Parental mental health was linked to both child- (i.e. autism symptom severity) and parent-related factors (i.e. personality traits reflecting a tendency to experience negative emotions). By contrast, in additional to mental health difficulties, which were linked to well-being, only other parent-related characteristics (and not child characteristics) were related to well-being. These included personality traits reflecting a tendency to be more extraverted/sociable, and also mindfulness. Other child-related and family/socioeconomic context factors (including household income, parental education level) were not linked to parental mental health or well-being in this sample. These results support the idea that poorer mental health and well-being are not simply the opposite of one another. That is, while these two factors were related, they were linked to different personal characteristics. Perhaps most importantly, the link between well-being and mindfulness - a personal characteristic that parents can improve - suggests mindfulness-based interventions may be helpful in directly supporting parental well-being in the context of raising a young child with autism. En ligne : http://dx.doi.org/10.1177/1362361320984315 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444

Editorial Perspective: Furthering research on temperament in autism spectrum disorder / Lacey CHETCUTI in Journal of Child Psychology and Psychiatry, 60-2 (February 2019)  

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Maximizing accurate detection of divergence from normative expectation in behavioral intervention outcome assessment / Katie HUBA ; Allison R. FRAZIER ; Rebecca A. WOMACK ; Eric A. YOUNGSTROM ; Lacey CHETCUTI ; Antonio Y. HARDAN ; Mirko ULJAREVIC in Research in Autism, 126 (August 2025)  

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Object-directed imitation in autism spectrum disorder is differentially influenced by motoric task complexity, but not social contextual cues / Lacey CHETCUTI in Autism, 23-1 (January 2019)  

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Parental Imitations and Expansions of Child Language Predict Later Language Outcomes of Autistic Preschoolers / Jodie SMITH in Journal of Autism and Developmental Disorders, 53-11 (November 2023)  

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Parsing the heterogeneity of social motivation in autism / Lacey CHETCUTI in Journal of Child Psychology and Psychiatry, 66-9 (September 2025)  

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Performance of the Autism Observation Scale for Infants with community-ascertained infants showing early signs of autism / Kristelle HUDRY in Autism, 25-2 (February 2021)  

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Remote monitoring of social attention in neurogenetic syndromes and idiopathic neurodevelopmental disability / Thomas W. FRAZIER ; Robyn M. BUSCH ; Patricia KLAAS ; Katherine Lachlan ; Shafali JESTE ; Alexander KOLEVZON ; Eva LOTH ; Jacqueline Harris ; Tom Pepper ; Kristin Anthony ; J. Michael Graglia ; Kathryn Helde ; Christal Delagrammatikas ; Sandra Bedrosian-Sermone ; Constance Smith-Hicks ; Mustafa SAHIN ; Eric A. YOUNGSTROM ; Charis ENG ; Lacey CHETCUTI ; Antonio Y. HARDAN ; Mirko ULJAREVIC in Autism Research, 18-2 (February 2025)  

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Subgroups of Temperament Associated with Social-Emotional Difficulties in Infants with Early Signs of Autism / Lacey CHETCUTI in Autism Research, 13-12 (December 2020)  

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Temperament predicts challenging behavior in children with autism spectrum disorder at age 5 / Siobhan KORBUT in Research in Autism Spectrum Disorders, 71 (March 2020)  

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The impact of sleep quality, fatigue and social well-being on depressive symptomatology in autistic older adolescents and young adults / Amanda L. RICHDALE in Autism Research, 16-4 (April 2023)  

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