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Auteur Jin LIU |
Documents disponibles écrits par cet auteur (5)



Atypical pattern separation memory and its association with restricted interests and repetitive behaviors in autistic children / Lang CHEN in Autism, 28-6 (June 2024)
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Titre : Atypical pattern separation memory and its association with restricted interests and repetitive behaviors in autistic children Type de document : Texte imprimé et/ou numérique Auteurs : Lang CHEN, Auteur ; Jin LIU, Auteur ; Julia Boram KANG, Auteur ; Miriam ROSENBERG-LEE, Auteur ; Daniel A. ABRAMS, Auteur ; Vinod MENON, Auteur Article en page(s) : p.1503-1518 Langues : Anglais (eng) Mots-clés : ASD heterogeneity pattern separation recognition memory RRIB Index. décimale : PER Périodiques Résumé : Emerging research suggests that episodic memory challenges are commonly encountered by autistic individuals; however, the specific nature of these memory challenges remains elusive. Here, we address critical gaps in the literature by examining pattern separation memory, the ability to store distinct memories of similar stimuli, and its links to the core autistic trait of repetitive, restricted interests and behaviors. Utilizing a large sample of over 120 autistic children and well-matched non-autistic peers, we found that autistic children showed significantly reduced performance on pattern separation memory. A clustering analysis identified three distinct pattern separation memory profiles in autism, each characterized by reduced or increased generalization abilities. Importantly, pattern separation memory was negatively correlated with the severity of repetitive, restricted interest and behavior symptoms in autism. These findings offer new evidence for challenges in pattern separation memory in autism and emphasize the need to consider these challenges when assessing and supporting autistic individuals in educational and clinical settings. Lay abstract Memory challenges remain understudied in childhood autism. Our study investigates one specific aspect of memory function, known as pattern separation memory, in autistic children. Pattern separation memory refers to the critical ability to store unique memories of similar stimuli; however, its role in childhood autism remains largely uncharted. Our study first uncovered that the pattern separation memory was significantly reduced in autistic children, and then showed that reduced memory performance was linked to their symptoms of repetitive, restricted interest and behavior. We also identified distinct subgroups with profiles of reduced and increased generalization for pattern separation memory. More than 72% of autistic children showed a tendency to reduce memory generalization, focusing heavily on unique details of objects for memorization. This focus made it challenging for them to identify commonalities across similar entities. Interestingly, a smaller proportion of autistic children displayed an opposite pattern of increased generalization, marked by challenges in differentiating between similar yet distinct objects. Our findings advance the understanding of memory function in autism and have practical implications for devising personalized learning strategies that align with the unique memory patterns exhibited by autistic children. This study will be of broad interest to researchers in psychology, psychiatry, and brain development as well as teachers, parents, clinicians, and the wider public. En ligne : https://dx.doi.org/10.1177/13623613231223354 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=529
in Autism > 28-6 (June 2024) . - p.1503-1518[article] Atypical pattern separation memory and its association with restricted interests and repetitive behaviors in autistic children [Texte imprimé et/ou numérique] / Lang CHEN, Auteur ; Jin LIU, Auteur ; Julia Boram KANG, Auteur ; Miriam ROSENBERG-LEE, Auteur ; Daniel A. ABRAMS, Auteur ; Vinod MENON, Auteur . - p.1503-1518.
Langues : Anglais (eng)
in Autism > 28-6 (June 2024) . - p.1503-1518
Mots-clés : ASD heterogeneity pattern separation recognition memory RRIB Index. décimale : PER Périodiques Résumé : Emerging research suggests that episodic memory challenges are commonly encountered by autistic individuals; however, the specific nature of these memory challenges remains elusive. Here, we address critical gaps in the literature by examining pattern separation memory, the ability to store distinct memories of similar stimuli, and its links to the core autistic trait of repetitive, restricted interests and behaviors. Utilizing a large sample of over 120 autistic children and well-matched non-autistic peers, we found that autistic children showed significantly reduced performance on pattern separation memory. A clustering analysis identified three distinct pattern separation memory profiles in autism, each characterized by reduced or increased generalization abilities. Importantly, pattern separation memory was negatively correlated with the severity of repetitive, restricted interest and behavior symptoms in autism. These findings offer new evidence for challenges in pattern separation memory in autism and emphasize the need to consider these challenges when assessing and supporting autistic individuals in educational and clinical settings. Lay abstract Memory challenges remain understudied in childhood autism. Our study investigates one specific aspect of memory function, known as pattern separation memory, in autistic children. Pattern separation memory refers to the critical ability to store unique memories of similar stimuli; however, its role in childhood autism remains largely uncharted. Our study first uncovered that the pattern separation memory was significantly reduced in autistic children, and then showed that reduced memory performance was linked to their symptoms of repetitive, restricted interest and behavior. We also identified distinct subgroups with profiles of reduced and increased generalization for pattern separation memory. More than 72% of autistic children showed a tendency to reduce memory generalization, focusing heavily on unique details of objects for memorization. This focus made it challenging for them to identify commonalities across similar entities. Interestingly, a smaller proportion of autistic children displayed an opposite pattern of increased generalization, marked by challenges in differentiating between similar yet distinct objects. Our findings advance the understanding of memory function in autism and have practical implications for devising personalized learning strategies that align with the unique memory patterns exhibited by autistic children. This study will be of broad interest to researchers in psychology, psychiatry, and brain development as well as teachers, parents, clinicians, and the wider public. En ligne : https://dx.doi.org/10.1177/13623613231223354 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=529 Investigating the quality of life for children with autism spectrum disorder scale using Rasch methodology / Jin LIU ; Ruiqin GAO ; Erik DRASGOW in Autism Research, 16-11 (November 2023)
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Titre : Investigating the quality of life for children with autism spectrum disorder scale using Rasch methodology Type de document : Texte imprimé et/ou numérique Auteurs : Jin LIU, Auteur ; Ruiqin GAO, Auteur ; Erik DRASGOW, Auteur Article en page(s) : p.2172-2183 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Our purpose in this study was to provide additional psychometric evidence of the Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale. We used Rasch modeling to investigate the QOLASD-C functioning, the characteristics of the items comprising the scale, and the item functioning across subgroups of children with ASD based on gender and race/ethnicity. Results showed that QOLASD-C was unidimensional, met the local independence assumption, and measured quality of life (QOL). The items showed excellent fit to the model and good discriminating ability between low and high QOL. Most items showed a moderate difficulty level. No differential item functioning was observed based on children's gender and race/ethnicity. Implications for research and practice are discussed. En ligne : https://doi.org/10.1002/aur.3016 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.2172-2183[article] Investigating the quality of life for children with autism spectrum disorder scale using Rasch methodology [Texte imprimé et/ou numérique] / Jin LIU, Auteur ; Ruiqin GAO, Auteur ; Erik DRASGOW, Auteur . - p.2172-2183.
Langues : Anglais (eng)
in Autism Research > 16-11 (November 2023) . - p.2172-2183
Index. décimale : PER Périodiques Résumé : Abstract Our purpose in this study was to provide additional psychometric evidence of the Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale. We used Rasch modeling to investigate the QOLASD-C functioning, the characteristics of the items comprising the scale, and the item functioning across subgroups of children with ASD based on gender and race/ethnicity. Results showed that QOLASD-C was unidimensional, met the local independence assumption, and measured quality of life (QOL). The items showed excellent fit to the model and good discriminating ability between low and high QOL. Most items showed a moderate difficulty level. No differential item functioning was observed based on children's gender and race/ethnicity. Implications for research and practice are discussed. En ligne : https://doi.org/10.1002/aur.3016 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=517 A Psychometric Evaluation of the Quality of Life for Children with Autism Spectrum Disorder Scale / Laura C. CHEZAN in Journal of Autism and Developmental Disorders, 52-4 (April 2022)
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Titre : A Psychometric Evaluation of the Quality of Life for Children with Autism Spectrum Disorder Scale Type de document : Texte imprimé et/ou numérique Auteurs : Laura C. CHEZAN, Auteur ; Jin LIU, Auteur ; Judith M. CHOLEWICKI, Auteur ; Erik DRASGOW, Auteur ; Ruyi DING, Auteur ; Adam WARMAN, Auteur Article en page(s) : p.1536-1552 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis/psychology Child Factor Analysis, Statistical Humans Psychometrics/methods Quality of Life/psychology Reproducibility of Results Surveys and Questionnaires Autism spectrum disorder Children Factor analysis Quality of life Validation Index. décimale : PER Périodiques Résumé : Our purpose in this study was to validate the Quality of Life for Children with Autism Spectrum Disorder scale. We first conducted an exploratory factor analysis to examine the factor structure. Results suggested that a three-factor model (Interpersonal Relationships, Self-Determination, and Emotional Well-Being) should be retained. Next, we conducted a confirmatory factor analysis to compare a higher-order factor model and additional models. Results showed acceptable model fit for the higher-order factor model. The scale had excellent reliability (?=.90) for the overall scale and for the three subscales (Interpersonal Relationships, ?=.87; Self-Determination, ?=.81; and Emotional Well-Being, ?=.66). The 16-item scale showed convergent and divergent validity. Implications for future research and practice are discussed. En ligne : http://dx.doi.org/10.1007/s10803-021-05048-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475
in Journal of Autism and Developmental Disorders > 52-4 (April 2022) . - p.1536-1552[article] A Psychometric Evaluation of the Quality of Life for Children with Autism Spectrum Disorder Scale [Texte imprimé et/ou numérique] / Laura C. CHEZAN, Auteur ; Jin LIU, Auteur ; Judith M. CHOLEWICKI, Auteur ; Erik DRASGOW, Auteur ; Ruyi DING, Auteur ; Adam WARMAN, Auteur . - p.1536-1552.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-4 (April 2022) . - p.1536-1552
Mots-clés : Autism Spectrum Disorder/diagnosis/psychology Child Factor Analysis, Statistical Humans Psychometrics/methods Quality of Life/psychology Reproducibility of Results Surveys and Questionnaires Autism spectrum disorder Children Factor analysis Quality of life Validation Index. décimale : PER Périodiques Résumé : Our purpose in this study was to validate the Quality of Life for Children with Autism Spectrum Disorder scale. We first conducted an exploratory factor analysis to examine the factor structure. Results suggested that a three-factor model (Interpersonal Relationships, Self-Determination, and Emotional Well-Being) should be retained. Next, we conducted a confirmatory factor analysis to compare a higher-order factor model and additional models. Results showed acceptable model fit for the higher-order factor model. The scale had excellent reliability (?=.90) for the overall scale and for the three subscales (Interpersonal Relationships, ?=.87; Self-Determination, ?=.81; and Emotional Well-Being, ?=.66). The 16-item scale showed convergent and divergent validity. Implications for future research and practice are discussed. En ligne : http://dx.doi.org/10.1007/s10803-021-05048-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475 The Quality of Life for Children with Autism Spectrum Disorder Scale: Factor Analysis, MIMIC Modeling, and Cut-Off Score Analysis / Laura C. CHEZAN in Journal of Autism and Developmental Disorders, 53-8 (August 2023)
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Titre : The Quality of Life for Children with Autism Spectrum Disorder Scale: Factor Analysis, MIMIC Modeling, and Cut-Off Score Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Laura C. CHEZAN, Auteur ; Jin LIU, Auteur ; Erik DRASGOW, Auteur ; Ruyi DING, Auteur ; Alexandro MAGANA, Auteur Article en page(s) : p.3230-3245 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Our purpose in this study was to further examine the psychometric properties of the Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale. We first investigated the factor structure and the internal consistency of the scale. The bifactor model showed good fit and strong reliability. Second, we used multiple-indicators multiple-causes (MIMIC) modeling to examine the associations between demographic variables and the QOLASD-C dimensions. Results showed differences on overall QOL based on age, race/ethnicity, and autism spectrum disorder severity, but no relationships with gender. All demographic variables were associated with one or all three subscales (i.e., interpersonal relationships, self-determination, emotional well-being) of the QOLASD-C. Third, an optimal cut-off score of 37 was identified. Implications for research and practice are discussed. En ligne : https://doi.org/10.1007/s10803-022-05610-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508
in Journal of Autism and Developmental Disorders > 53-8 (August 2023) . - p.3230-3245[article] The Quality of Life for Children with Autism Spectrum Disorder Scale: Factor Analysis, MIMIC Modeling, and Cut-Off Score Analysis [Texte imprimé et/ou numérique] / Laura C. CHEZAN, Auteur ; Jin LIU, Auteur ; Erik DRASGOW, Auteur ; Ruyi DING, Auteur ; Alexandro MAGANA, Auteur . - p.3230-3245.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 53-8 (August 2023) . - p.3230-3245
Index. décimale : PER Périodiques Résumé : Our purpose in this study was to further examine the psychometric properties of the Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale. We first investigated the factor structure and the internal consistency of the scale. The bifactor model showed good fit and strong reliability. Second, we used multiple-indicators multiple-causes (MIMIC) modeling to examine the associations between demographic variables and the QOLASD-C dimensions. Results showed differences on overall QOL based on age, race/ethnicity, and autism spectrum disorder severity, but no relationships with gender. All demographic variables were associated with one or all three subscales (i.e., interpersonal relationships, self-determination, emotional well-being) of the QOLASD-C. Third, an optimal cut-off score of 37 was identified. Implications for research and practice are discussed. En ligne : https://doi.org/10.1007/s10803-022-05610-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508 Utilizing network analysis to identify core items of quality of life for children with autism spectrum disorder / Jin LIU ; Laura C. CHEZAN ; Yue Zhao ; Sarah K. Hood ; Erik DRASGOW ; Han Wang in Autism Research, 18-2 (February 2025)
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Titre : Utilizing network analysis to identify core items of quality of life for children with autism spectrum disorder : Autism Research Type de document : Texte imprimé et/ou numérique Auteurs : Jin LIU, Auteur ; Laura C. CHEZAN, Auteur ; Yue Zhao, Auteur ; Sarah K. Hood, Auteur ; Erik DRASGOW, Auteur ; Han Wang, Auteur Article en page(s) : p.370-386 Langues : Anglais (eng) Mots-clés : autism spectrum disorder demographic network analysis quality of life ultra-short scale Index. décimale : PER Périodiques Résumé : Abstract The purpose of this study was to develop and validate an ultra-short scale called the Quality of Life for Children with Autism Spectrum Disorder 3 (QOLASD-C3) from the full 16-item QOLASD-C scale. We first used network analysis to identify three core items to be retained on the QOLASD-C3 scale. Second, we used Cronbach's alpha and Pearson Product Moment correlations to determine the reliability and validity of the scale. Third, an optimal cut-off score of 6 was identified for the using receiver operating characteristic curve analysis. Finally, we used logistic regression to examine the similarities in the classification status based on demographic characteristics between the quality of life (QOL) status using the QOLASD-C and the QOLASD-C3 scales. Results were similar across the two versions and suggested variations in QOL status based on race/ethnicity, autism spectrum disorder (ASD) severity, and parents' socio-economic status. Implications for research and practice are discussed. En ligne : https://doi.org/10.1002/aur.3292 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=547
in Autism Research > 18-2 (February 2025) . - p.370-386[article] Utilizing network analysis to identify core items of quality of life for children with autism spectrum disorder : Autism Research [Texte imprimé et/ou numérique] / Jin LIU, Auteur ; Laura C. CHEZAN, Auteur ; Yue Zhao, Auteur ; Sarah K. Hood, Auteur ; Erik DRASGOW, Auteur ; Han Wang, Auteur . - p.370-386.
Langues : Anglais (eng)
in Autism Research > 18-2 (February 2025) . - p.370-386
Mots-clés : autism spectrum disorder demographic network analysis quality of life ultra-short scale Index. décimale : PER Périodiques Résumé : Abstract The purpose of this study was to develop and validate an ultra-short scale called the Quality of Life for Children with Autism Spectrum Disorder 3 (QOLASD-C3) from the full 16-item QOLASD-C scale. We first used network analysis to identify three core items to be retained on the QOLASD-C3 scale. Second, we used Cronbach's alpha and Pearson Product Moment correlations to determine the reliability and validity of the scale. Third, an optimal cut-off score of 6 was identified for the using receiver operating characteristic curve analysis. Finally, we used logistic regression to examine the similarities in the classification status based on demographic characteristics between the quality of life (QOL) status using the QOLASD-C and the QOLASD-C3 scales. Results were similar across the two versions and suggested variations in QOL status based on race/ethnicity, autism spectrum disorder (ASD) severity, and parents' socio-economic status. Implications for research and practice are discussed. En ligne : https://doi.org/10.1002/aur.3292 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=547