Autism Research最新文献

{"title":"Language growth in verbal autistic children from 5 to 11 years","authors":"Amanda Brignell,&nbsp;Katrina J. Williams,&nbsp;Sheena Reilly,&nbsp;Angela T. Morgan","doi":"10.1002/aur.3171","DOIUrl":"10.1002/aur.3171","url":null,"abstract":"<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, <i>p</i> &lt; 0.001), yet demonstrated faster language growth across 5 to 11 years (<i>p</i> &lt; 0.001 and <i>p</i> = 0.002, respectively). Both groups without low language had similar mean expressive language scores (<i>p</i> = 0.864) and a comparable rate of growth (<i>p</i> = 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 (<i>p</i> = 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":131,"journal":{"name":"Autism Research","volume":"17 10","pages":"1994-2003"},"PeriodicalIF":5.3,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aur.3171","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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,&nbsp;Laura Ilen,&nbsp;Stephan Eliez,&nbsp;Maude Schneider","doi":"10.1002/aur.3173","DOIUrl":"10.1002/aur.3173","url":null,"abstract":"<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":131,"journal":{"name":"Autism Research","volume":"17 10","pages":"2004-2017"},"PeriodicalIF":5.3,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aur.3173","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autistic adults exhibit typical sensitivity to changes in interpersonal distance","authors":"Carl Bunce,&nbsp;Bayparvah Kaur Gehdu,&nbsp;Clare Press,&nbsp;Katie L. H. Gray,&nbsp;Richard Cook","doi":"10.1002/aur.3164","DOIUrl":"10.1002/aur.3164","url":null,"abstract":"<p>The visual processing differences seen in autism often impede individuals' visual perception of the social world. In particular, many autistic people exhibit poor face recognition. Here, we sought to determine whether autistic adults also show impaired perception of dyadic social interactions—a class of stimulus thought to engage face-like visual processing. Our focus was the perception of interpersonal distance. Participants completed distance change detection tasks, in which they had to make perceptual decisions about the distance between two actors. On half of the trials, participants judged whether the actors moved closer together; on the other half, whether they moved further apart. In a nonsocial control task, participants made similar judgments about two grandfather clocks. We also assessed participants' face recognition ability using standardized measures. The autistic and nonautistic observers showed similar levels of perceptual sensitivity to changes in interpersonal distance when viewing social interactions. As expected, however, the autistic observers showed clear signs of impaired face recognition. Despite putative similarities between the visual processing of faces and dyadic social interactions, our results suggest that these two facets of social vision may dissociate.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 7","pages":"1464-1474"},"PeriodicalIF":5.3,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unpacking the prevalence: A warning against overstating the recently narrowed gap for Black autistic youth","authors":"Danai Kasambira Fannin,&nbsp;Ed-Dee G. Williams,&nbsp;Marcus Fuller,&nbsp;Jamie N. Pearson,&nbsp;Brian A. Boyd,&nbsp;Elizabeth R. Drame,&nbsp;Jonte' Taylor,&nbsp;Aisha S. Dickerson,&nbsp;Adiaha Spinks-Franklin,&nbsp;D' Jaris Coles-White","doi":"10.1002/aur.3168","DOIUrl":"10.1002/aur.3168","url":null,"abstract":"<p>Recent findings from the Centers for Disease Control and Prevention's (CDC) Autism and Developmental Disabilities Monitoring (ADDM) Network's 2020 prevalence report indicate that disparities in autism diagnoses between Black and White youth have narrowed, reflecting improved screening, awareness, and access to services (Maenner et al., 2023. <i>Morbidity and Mortality Weekly Report</i>. <i>Surveillance Summaries</i> (<i>Washington</i>, <i>D</i>.<i>C</i>.: <i>2002</i>), <i>72</i>, 1–14.). Claims of reducing disparities beyond prevalence rates, however, are not fully supported, as indicated by the reality that Black youth whose screenings indicate autistic traits are still not being referred for full evaluation or early intervention services at the same rate as their White peers (Major et al., 2020. <i>Autism</i>, <i>24</i>, 1629–1638; Smith et al., 2020. <i>Pediatrics</i>, <i>145</i>, S35–S46.). Black 8-year-olds identified as autistic still experience disparate educational placements (Waitoller et al., 2010. <i>The Journal of Special Education</i>. <i>44</i>, 29–49.) where services may not be autism-specific or have Individual Education Plan goals only focused on “behavior problems” (Severini et al., 2018. <i>Journal of Autism and Developmental Disorders</i>, <i>48</i>, 3261–3272.), are served in the most restrictive environments (Skiba et al., 2006. <i>Exceptional Children</i>, <i>72</i>, 411–424.) and lack consistent augmentative and alternative communication support (Pope et al., 2022. <i>American Journal of Speech-Language Pathology</i>, <i>31</i>, 2159–2174.). Additionally, ADMM researchers report consistent disparities in the identification of co-occurring intellectual disability where Black autistic children have significantly more co-occurrences than White autistic children. The purpose of this commentary is to first examine the assertion that the narrowed gap indicates, “…improved…access to services among historically underserved groups,” (p. 9) (Maenner et al., 2023. <i>Morbidity and Mortality Weekly Report</i>. <i>Surveillance Summaries</i> (<i>Washington</i>, <i>D</i>.<i>C</i>.: <i>2002</i>), <i>72</i>, 1–14.). We will then recommend strategies to address the ongoing disparities.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 6","pages":"1072-1082"},"PeriodicalIF":4.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aur.3168","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141158891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Practice is the best of all instructors—Effects of enactment encoding and episodic future thinking on prospective memory performance in high-functioning adults with autism spectrum disorder","authors":"Larissa L. Faustmann,&nbsp;Mareike Altgassen","doi":"10.1002/aur.3165","DOIUrl":"10.1002/aur.3165","url":null,"abstract":"<p>Prospective memory (PM) is the ability to remember to carry out intended actions in the future. The present study investigated the effects of episodic future thinking (EFT) and enactment encoding (EE) on PM performance in autistic adults (ASD). A total of 72 autistic individuals and 70 controls matched for age, gender, and cognitive abilities completed a computerized version of the Dresden breakfast Task, which required participants to prepare breakfast following a set of rules and time restrictions. A two (group: ASD vs. controls) by three (encoding condition: EFT vs. EE vs. standard) between-subjects design was applied. Participants were either instructed to engage in EFT or EE to prepare to the different tasks prior to performing the Dresden breakfast or received standard instructions. Analyses of variance were conducted. Autism-spectrum-disorders (ASD) participants did not differ from control participants in their PM performance, regardless of which strategy they used. Compared to the standard condition, EE but not EFT improved time-based PM performance in all participants. This is the first study to find spared time-based PM performance in autistic individuals. The results confirm earlier results of beneficial effects of EE on PM performance. Findings are discussed with regards to the methodology used, sample composition as well as autistic characteristics.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 6","pages":"1258-1275"},"PeriodicalIF":4.7,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aur.3165","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141154488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Profiles of minimally verbal autistic children: Illuminating the neglected end of the spectrum","authors":"Maria Pizzano,&nbsp;Stephanie Shire,&nbsp;Wendy Shih,&nbsp;Lynne Levato,&nbsp;Rebecca Landa,&nbsp;Catherine Lord,&nbsp;Tristram Smith,&nbsp;Connie Kasari","doi":"10.1002/aur.3151","DOIUrl":"10.1002/aur.3151","url":null,"abstract":"<p>Heterogeneity among individuals on the autism spectrum is widely acknowledged as a barrier to develop effective interventions. Overcoming this challenge requires characterization of individual differences, especially for children that are minimally verbal and often excluded from research studies. Most studies that describe autistic subgroups identify a single minimally verbal verbal group based on a single identifying measure (e.g., ADOS module one or single item indicating absence of phrase speech). Determining personalized courses of intervention requires a more detailed understanding since a single intervention will not be effective for all who are minimally verbal. The present study identified comprehensive profiles of cognitive, language, and social communication skills within a large, diverse, group of minimally verbal children with autism. The analysis combined baseline data from two studies to yield a sample of 344 participants, who were 3 to 8 years old at the time of study onset, with 60% who identified as having a race/ethnicity other than White. Via latent profile analysis (LPA), a three-group model was identified as best fit to the data. Profile identification was dependent on a participant's combination of cognitive, expressive, and social communication characteristics, rather than a single domain. One group (<i>n</i> = 206) had global delays, while the other two groups (<i>n</i> = 95 and <i>n</i> = 43) had variable strengths in cognition and communication. Findings suggest that low-frequency/minimally verbal communicators with autism have heterogeneous characteristics that can be systematically organized.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 6","pages":"1218-1229"},"PeriodicalIF":4.7,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141158973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reproducibility between preschool and school-age Social Responsiveness Scale forms in the Environmental influences on Child Health Outcomes program","authors":"Marisa A. Patti,&nbsp;Lisa A. Croen,&nbsp;Aisha S. Dickerson,&nbsp;Robert M. Joseph,&nbsp;Jennifer L. Ames,&nbsp;Christine Ladd-Acosta,&nbsp;Sally Ozonoff,&nbsp;Rebecca J. Schmidt,&nbsp;Heather E. Volk,&nbsp;Alison E. Hipwell,&nbsp;Kelsey E. Magee,&nbsp;Margaret Karagas,&nbsp;Cindy McEvoy,&nbsp;Rebecca Landa,&nbsp;Michael R. Elliott,&nbsp;Daphne Koinis Mitchell,&nbsp;Viren D'Sa,&nbsp;Sean Deoni,&nbsp;Michelle Pievsky,&nbsp;Pei-Chi Wu,&nbsp;Fatoumata Barry,&nbsp;Joseph B. Stanford,&nbsp;Deborah A. Bilder,&nbsp;Leonardo Trasande,&nbsp;Nicole R. Bush,&nbsp;Kristen Lyall,&nbsp;program collaborators for Environmental Influences on Child Health Outcomes","doi":"10.1002/aur.3147","DOIUrl":"10.1002/aur.3147","url":null,"abstract":"<p>Evidence suggests core autism trait consistency in older children, but development of these traits is variable in early childhood. The Social Responsiveness Scale (SRS) measures autism-related traits and broader autism phenotype, with two age-dependent forms in childhood (preschool, 2.5–4.5 years; school age, 4–18 years). Score consistency has been observed within forms, though reliability across forms has not been evaluated. Using data from the Environmental Influences on Child Health Outcomes (ECHO) program (<i>n</i> = 853), preschool, and school-age SRS scores were collected via maternal report when children were an average of 3.0 and 5.8 years, respectively. We compared reproducibility of SRS total scores (<i>T</i>-scores) and agreement above a clinically meaningful cutoff (<i>T</i>-scores ≥ 60) and examined predictors of discordance in cutoff scores across forms. Participant scores across forms were similar (mean difference: 3.3 points; standard deviation: 7), though preschool scores were on average lower than school-age scores. Most children (88%) were classified below the cutoff on both forms, and overall concordance was high (92%). However, discordance was higher in cohorts following younger siblings of autistic children (16%). Proportions of children with an autism diagnoses were also higher among those with discordant scores (27%) than among those with concordant scores (4%). Our findings indicate SRS scores are broadly reproducible across preschool and school-age forms, particularly for capturing broader, nonclinical traits, but also suggest that greater variability of autism-related traits in preschool-age children may reduce reliability with later school-age scores for those in the clinical range.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 6","pages":"1187-1204"},"PeriodicalIF":4.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141094718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing multi-site autism research through the development of a collaborative data platform","authors":"Jeffrey T. Anderson,&nbsp;Jeffrey D. Roth,&nbsp;Kashia A. Rosenau,&nbsp;Patrick S. Dwyer,&nbsp;Alice A. Kuo,&nbsp;Julian A. Martinez-Agosto","doi":"10.1002/aur.3167","DOIUrl":"10.1002/aur.3167","url":null,"abstract":"<p>Data repositories, particularly those storing data on vulnerable populations, increasingly need to carefully consider not only what data is being collected, but how it will be used. As such, the Autism Intervention Research Network on Physical Health (AIR-P) has created the Infrastructure for Collaborative Research (ICR) to establish standards on data collection practices in Autism repositories. The ICR will strive to encourage inter-site collaboration, amplify autistic voices, and widen accessibility to data. The ICR is staged as a three-tiered framework consisting of (1) a request for proposals system, (2) a REDCap-based data repository, and (3) public data dashboards to display aggregate de-identified data. Coupled with a review process including autistic and non-autistic researchers, this framework aims to propel the implementation of equitable autism research, enhance standardization within and between studies, and boost transparency and dissemination of findings. In addition, the inclusion of a contact registry that study participants can opt into creates the base for a robust participant pool. As such, researchers can leverage the platform to identify, reach, and distribute electronic materials to a greater proportion of potential participants who likely fall within their eligibility criteria. By incorporating practices that promote effective communication between researchers and participants, the ICR can facilitate research that is both considerate of and a benefit to autistic people.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 7","pages":"1322-1327"},"PeriodicalIF":5.3,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aur.3167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141094716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of depressive and anxious symptoms on quality of life in adults on the autism spectrum","authors":"Tobias Thiel,&nbsp;Saskia Riedelbauch,&nbsp;Sebastian Gaigg,&nbsp;Veit Roessner,&nbsp;Melanie Ring","doi":"10.1002/aur.3144","DOIUrl":"10.1002/aur.3144","url":null,"abstract":"<p>Quality of life (QoL) is lower in adults on the autism spectrum (AS) compared with typically developing (TD) adults. In this context, recent studies have examined the role of depression and anxiety in reducing QoL in AS adults. The aim of this study was to (1) replicate these findings of lower QoL and (2) assess the negative influence of depressive and anxious symptoms on QoL in an adult AS (<i>N</i> = 86) and TD (<i>N</i> = 87) German sample with a broad age range (18–70 years). For this, we used questionnaires that have been validated for the AS and TD population: the World Health Organization Quality of Life Brief Version, the Autism-Specific QoL items, and the Hospital Anxiety and Depression Scale. We replicated previous findings and extended them to autism-specific QoL. Our AS sample had lower QoL compared with the TD adults. However, depressive symptoms were the largest contributor to lower QoL in both samples, more so than group membership and anxious symptoms. We conclude that interventions to improve QoL in AS adults should specifically target depressive symptoms and for this, improvements to the diagnostic process and treatment of depression in AS are necessary.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 6","pages":"1161-1174"},"PeriodicalIF":4.7,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aur.3144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141089353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural correlates of response to joint attention in 2-to-5-year-olds in relation to ASD and social-communicative abilities: An fNIRS and behavioral study","authors":"Alessandra Piatti,&nbsp;Sara Van der Paelt,&nbsp;Petra Warreyn,&nbsp;Herbert Roeyers","doi":"10.1002/aur.3149","DOIUrl":"10.1002/aur.3149","url":null,"abstract":"<p>Autism spectrum disorder (ASD) is associated with life-long challenges with social cognition, and one of its earliest and most common manifestations is atypical joint attention, which is a pivotal skill in social-cognitive and linguistic development. Early interventions for ASD children often focus on training initiation of joint attention (IJA) and response to joint attention bids (RJA), which are important for social communication and cognition. Here, we used functional near-infrared spectroscopy and behavioral measures to test typically developing (TD, <i>n</i> = 17) and ASD children (<i>n</i> = 18), to address the relationship between the neural correlates of RJA and social-communicative behavior. Group-level differences were present for RJA-specific activation over right temporal sites, where TD children showed higher levels of activation during RJA than ASD children, whereas the two groups did not differ in the control condition. Correlations between neural activation and behavioral traits suggest that, in ASD children, neural activation during RJA is related to the frequency of RJA behavior when the former is measured over left temporal sites, and to social affect symptoms when considered for right temporal sites. Possible implications of the evidenced correlations are discussed.</p>","PeriodicalId":131,"journal":{"name":"Autism Research","volume":"17 6","pages":"1106-1125"},"PeriodicalIF":4.7,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141082439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}