Autism research : official journal of the International Society for Autism Research最新文献

{"title":"Longitudinal changes in executive function in autism spectrum disorder: A systematic review and meta-analyses.","authors":"Michael K Yeung, Jieru Bai, Kwai-Lai Mak","doi":"10.1002/aur.3196","DOIUrl":"https://doi.org/10.1002/aur.3196","url":null,"abstract":"<p><p>Individuals with an autism spectrum disorder (ASD) diagnosis show impairment in executive function (EF). However, findings are mixed regarding differences in the age effect on EF between autistic individuals and persons with typical development (TD). Questions remain regarding whether the age-related trajectories of EF in ASD are the same as or different from those in TD. To bridge this knowledge gap, we conducted a systematic review and meta-analyses of longitudinal studies that compared age-related changes in EF between ASD and TD groups (preregistration: osf.io/j5764). A literature search was conducted using PubMed, PsycINFO, and Web of Science on January 29, 2024. After screening by two independent reviewers, 14 longitudinal studies were included. Random-effects meta-analyses of studies involving a maximum total of 518 autistic and 3558 TD children and adolescents (mean baseline ages: 5.7-12.0 years) showed that ASD had significantly poorer EF than TD at both baseline and follow-up. However, there was no significant group difference in the age-related change in EF across domains, including working memory, inhibition, shifting, and planning. Robust Bayesian meta-analyses also provided substantial evidence in favor of the null hypothesis that ASD and TD groups showed similar changes over time for most EF processes. Limitations of the literature included the limited number of longitudinal studies and a narrow range of developmental stages and EF constructs analyzed across studies. Altogether, these findings suggest that autistic children and adolescents generally can improve in EF over time similarly to their neurotypical peers. This has important implications for parents and educators, encouraging appropriate EF training and intervention for autistic children and adolescents at an early stage.</p>","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141556113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phenotyping variability in early socio-communicative skills in young children with autism and its influence on later development.","authors":"Fiona Journal, Martina Franchini, Michel Godel, Nada Kojovic, Kenza Latrèche, Stefania Solazzo, Maude Schneider, Marie Schaer","doi":"10.1002/aur.3188","DOIUrl":"https://doi.org/10.1002/aur.3188","url":null,"abstract":"<p><p>Children with autism spectrum disorder (ASD) often face challenges in early social communication skills, prompting the need for a detailed exploration of specific behaviors and their impact on cognitive and adaptive functioning. This study aims to address this gap by examining the developmental trajectories of early social communication skills in preschoolers with ASD aged 18-60 months, comparing them to age-matched typically developing (TD) children. Utilizing the early social communication scales (ESCS), the research employs a longitudinal design to capture changes over time. We apply a principal component analysis (PCA) to ESCS variables to identify underlying components, and cluster analysis to identify subgroups based on preverbal communication profiles. The results reveal consistent differences in early social communication skills between ASD and TD children, with ASD children exhibiting reduced skills. PCA identifies two components, distinguishing objects-directed behaviors and social interaction-directed behaviors. Cluster analysis identifies three subgroups of autistic children, each displaying specific communication profiles associated with distinct cognitive and adaptive functioning trajectories. In conclusion, this study provides a nuanced understanding of early social communication development in ASD, emphasizing the importance of low-level behaviors. The identification of subgroups and their unique trajectories contributes to a more comprehensive understanding of ASD heterogeneity. These findings underscore the significance of early diagnosis, focusing on specific behaviors predicting cognitive and adaptive functioning outcomes. The study encourages further research to explore the sequential development of these skills, offering valuable insights for interventions and support strategies.</p>","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141536124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parent-infant interaction trajectories in infants with an elevated likelihood for autism in relation to 3-year clinical outcome.","authors":"Eirini Papageorgopoulou, Emily J H Jones, Mark H Johnson, Tony Charman, Jonathan Green, Ming Wai Wan","doi":"10.1002/aur.3190","DOIUrl":"https://doi.org/10.1002/aur.3190","url":null,"abstract":"<p><p>Developmental antecedents of autism may affect parent-infant interactions (PII), altering the context in which core social skills develop. While studies have identified differences in PII between infants with and without elevated likelihood (EL) for autism, samples have been small. Here, we examined whether previously reported differences are replicable. From a longitudinal study of 113 EL and 27 typical likelihood infants (TL), 6-min videotaped unstructured PII was blind rated at 8 and 14 months on eight interactional qualities. Autism outcome was assessed at 36 months. Linear mixed-effects models found higher parent sensitive responsiveness, nondirectiveness, and mutuality ratings in TL than EL infants with and without later autism. PII qualities at 8 (infant positive affect, parent directiveness) and 14 months (infant attentiveness to parent, mutuality) predicted 3-year autism. Attentiveness to parent decreased between 8 and 14 months in EL infants with later autism. This larger study supports previous findings of emerging alterations in PII in this group and extends on this by detecting earlier (8-month) predictive effects of PII for autism outcome and a more marked trajectory of decreased social attentiveness. The findings strengthen the evidence base to support the implementation of early preemptive interventions to support PII in infants with early autism signs.</p>","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Three autism subtypes based on single-subject gray matter network revealed by semi-supervised machine learning.","authors":"Guomei Xu, Guohong Geng, Ankang Wang, Zhangyong Li, Zhichao Liu, Yanping Liu, Jun Hu, Wei Wang, Xinwei Li","doi":"10.1002/aur.3183","DOIUrl":"https://doi.org/10.1002/aur.3183","url":null,"abstract":"<p><p>Autism spectrum disorder (ASD) is a heterogeneous, early-onset neurodevelopmental condition characterized by persistent impairments in social interaction and communication. This study aims to delineate ASD subtypes based on individual gray matter brain networks and provide new insights from a graph theory perspective. In this study, we extracted and normalized single-subject gray matter networks and calculated each network's topological properties. The heterogeneity through discriminative analysis (HYDRA) method was utilized to subtype all patients based on network properties. Next, we explored the differences among ASD subtypes in terms of network properties and clinical measures. Our investigation identified three distinct ASD subtypes. In the case-control study, these subtypes exhibited significant differences, particularly in the precentral gyrus, lingual gyrus, and middle frontal gyrus. In the case analysis, significant differences in global and nodal properties were observed between any two subtypes. Clinically, subtype 1 showed lower VIQ and PIQ compared to subtype 3, but exhibited higher scores in ADOS-Communication and ADOS-Total compared to subtype 2. The results highlight the distinct brain network properties and behaviors among different subtypes of male patients with ASD, providing valuable insights into the neural mechanisms underlying ASD heterogeneity.</p>","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141461162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Language growth in verbal autistic children from 5 to 11 years.","authors":"Amanda Brignell, Katrina J Williams, Sheena Reilly, Angela T Morgan","doi":"10.1002/aur.3171","DOIUrl":"https://doi.org/10.1002/aur.3171","url":null,"abstract":"<p><p>To examine predictors and growth in language for verbal autistic and non-autistic children with/without low language from 4 to 11 years. Receptive and expressive language trajectories were compared in a community sample of 1026 children at ages 5, 7, and 11 years, across four groups: two autistic groups; one with and one without low language; and two non-autistic groups; one with and one without low language. Groups were delineated on baseline assessment at 4 years. Non-autistic and autistic children with low language had lower mean expressive language scores than the non-autistic typical language group (22.26 and 38.53 units lower, respectively, p < 0.001), yet demonstrated faster language growth across 5 to 11 years (p < 0.001 and p = 0.002, respectively). Both groups without low language had similar mean expressive language scores (p = 0.864) and a comparable rate of growth (p = 0.645). Language at 4 years was the only consistent predictor of language at 11 years for autistic children. Results were similar for receptive language in all analyses except there was no significant difference in rate of progress (slope) for the autistic with low language group compared with the typical language group (p = 0.272). Findings suggest early language ability, rather than a diagnosis of autism, is key to determining language growth and outcomes at 11 years in verbal children. Furthermore, children with low language showed developmental acceleration compared with same age peers.</p>","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Loneliness in daily life: A comparison between youths with autism spectrum disorders and 22q11.2 deletion syndrome (22q11DS).","authors":"Clémence Feller, Laura Ilen, Stephan Eliez, Maude Schneider","doi":"10.1002/aur.3173","DOIUrl":"https://doi.org/10.1002/aur.3173","url":null,"abstract":"<p><p>Loneliness is a negative emotional experience that can stem from a gap between desires and the reality of social relationships. It is also a predictor of mental health. Loneliness is therefore important to investigate in neurodevelopmental populations known for having difficulties in the social sphere. This co-registered study involved 48 youths with autism spectrum disorders (ASD), 54 youths with 22q11.2 deletion syndrome (22q11DS) and 65 typically developing youths (TD) aged 12-30. State loneliness was assessed with an ecological momentary assessment. Paper-pencil questionnaires assessing attitude toward aloneness, trait loneliness, and mental health, were completed by the youths and their caregivers. A comparable level of state loneliness between clinical groups and TD were found, with greater loneliness when alone than in a social context. Clinical groups showed a greater intra-individual variability. Both individuals with ASD and 22q11DS revealed a greater affinity toward being alone than TD, but only individuals with ASD reported greater trait loneliness. However, no significant association was found between attitude toward aloneness, trait and state loneliness. Emotional reactivity to loneliness was different between the clinical groups. Self-reported mental health only was associated with loneliness in the clinical groups. These results provide new insights into the understanding of loneliness in these clinical populations and have an impact on clinical care by highlighting the need to remain vigilant when encountering youths who report feeling lonely, and that these youths need to be supported in developing their social network, which appears to be a protective factor against loneliness.</p>","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Issue Information","authors":"","doi":"10.1111/mpp.13295","DOIUrl":"https://doi.org/10.1111/mpp.13295","url":null,"abstract":"","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42341964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Issue Information","authors":"","doi":"10.1111/phpr.12792","DOIUrl":"https://doi.org/10.1111/phpr.12792","url":null,"abstract":"","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44225024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic mouse models of autism spectrum disorder present subtle heterogenous cardiac abnormalities","authors":"Stephania Assimopoulos, C. Hammill, D. Fernandes, T. L. Spencer Noakes, Yu-Qing Zhou, L. Nutter, J. Ellegood, E. Anagnostou, J. Sled, J. Lerch","doi":"10.1101/2021.10.19.465007","DOIUrl":"https://doi.org/10.1101/2021.10.19.465007","url":null,"abstract":"Background Autism Spectrum Disorder (ASD) and Congenital Heart Disease (CHD) are strongly linked on a functional and genetic level. Most work has been focused on neurodevelopmental abnormalities in CHD. Conversely, cardiac abnormalities in ASD have been less studied. In this work we investigate the prevalence of cardiac comorbidities relative to genetic contributors of ASD. Methods Using high frequency ultrasound imaging, we screened 9 mouse models with ASD-related genetic alterations (Arid1b(+/-), Chd8(+/-), 16p11.2 (deletion), Sgsh(+/-), Sgsh(-/-), Shank3 Δexon 4-9(+/-), Shank3 Δexon 4-9(-/-), Fmr1(-/-), Vps13b(+/-)), and pooled wild-type littermates (WT). Using a standardised imaging protocol, we measured heart rate (HR), aorta diameter (AoD), thickness and thickening of the left-ventricular (LV) anterior and posterior walls, LV chamber diameter, fractional shortening, stroke volume and cardiac output, Peak E and A velocity ratio of mitral inflow, Velocity Time Integral (VTI) through the ascending aorta. Results Mutant groups presented small-scale alterations in cardiac structure and function compared to WTs. A greater number of significant differences was observed among mutant groups than between mutant groups and WTs. Mutant groups differed primarily in measures of structure (LV chamber diameter and anterior wall thickness, HR, AoD). When compared to WTs, they differed in both structure and function (LV anterior wall thickness and thickening, chamber diameter and fractional shortening, HR). The mutant groups with most differences to WTs were 16p11.2 (deletion), Fmrl(-/-), Arid1b(+/-). Among mutant groups, the groups differing most from others were 16p11.2 (deletion), Sgsh(+/-), Fmrl(-/-). Our results broadly recapitulate the associated clinical findings. Limitations Various genetically driven cardiac abnormalities occur early in life, so repeating this work in non-adult mice may be valuable. To identify possible sex differences, we must extend this work to female mice. The downsampling procedure used (total correlation calculation) must be verified. Only indirect comparison between our results and clinical literature is possible due to differing study designs. Conclusions The characteristic heterogeneity of ASD was recapitulated in the observed cardiac phenotype. The type of measures (morphological, functional) mutant groups differ in can highlight common underlying mechanisms. Clinically, knowledge of cardiac abnormalities in ASD can be essential as even non-lethal cardiac abnormalities can impact normal development.","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44093703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The problem of heterogeneity in autism: Response to Mottron (2021) \"Aradical change in our autism research strategy is needed: Back to prototypes\".","authors":"Lynn Waterhouse","doi":"10.1002/aur.2584","DOIUrl":"10.1002/aur.2584","url":null,"abstract":"","PeriodicalId":72339,"journal":{"name":"Autism research : official journal of the International Society for Autism Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39260288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}