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10.1007/s10803-025-07171-6 http://scihub22266oqcxt.onion/10.1007/s10803-025-07171-6 41369961!?!41369961 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=41369961&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       J+Autism+Dev+Disord 2025 ; ? (?): ? Nephropedia Template TP {{tp|p=41369961|t=2025. Identifying Core Joint Attention Behaviors and Exploring Pathways to Autistic Traits in School-Aged Children With Autism Spectrum Disorder: A Network Analysis Study |pdf=|usr=}}{{41369961}} gab.com Text Identifying Core Joint Attention Behaviors and Exploring Pathways to Autistic Traits in School-Aged Children With Autism Spectrum Disorder: A Network Analysis Study JO: J Autism Dev Disord http://www.kidney.de/pget.php?&tw=1&pmid=41369961 #FOAvip PURPOSE: This study aimed to identify core joint attention behaviors and examine their network structures and associations with autistic traits in school-aged children diagnosed with Autism Spectrum Disorder (ASD). METHODS: A total of 183 children with ASD (mean age = 7.33 +/- 1.11 years; 67.8% male) were recruited. Participants were assessed using the Childhood Joint Attention Rating Scale (C-JARS) and the Childhood Autism Rating Scale (CARS). Network models of joint attention behaviors were estimated to identify central and bridge behaviors relating to core autistic traits. RESULTS: Network analysis revealed key behavioral dyads including sharing interests with cooperative digital play, and conversational engagement paired with gaze aversion during requests. Central hub behaviors such as helping others, hyperfocus on inanimate objects, and recalling shared positive experiences showed the highest influence within the joint attention network. Gaze avoidance and lack of shared interest were less central. Bridge analysis demonstrated that imitation and relating to people had strong negative associations with joint attention difficulties, suggesting that greater joint attention corresponds to lower severity of certain autistic traits. CONCLUSION: The findings highlight distinct joint attention profiles in children with ASD and underscore imitation as a critical intervention target to improve social communication. This network-based approach offers nuanced insights into social communication deficits and supports the development of tailored therapeutic strategies for ASD. Twit Text FOAVip Identifying Core Joint Attention Behaviors and Exploring Pathways to Autistic Traits in School-Aged Children With Autism Spectrum Disorder: A Network Analysis Study ????J Autism Dev Disord http://www.kidney.de/pget.php?&tw=1&pmid=41369961 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=41369961 #FOAvip English Wikipedia <ref>{{Cite pmid|41369961}}</ref> Identifying Core Joint Attention Behaviors and Exploring Pathways to Autistic Traits in School-Aged Children With Autism Spectrum Disorder: A Network Analysis Study #MMPMID41369961 Almulla AA; Ayasrah MN J Autism Dev Disord 2025[Dec]; ? (?): ? PMID41369961show ga PURPOSE: This study aimed to identify core joint attention behaviors and examine their network structures and associations with autistic traits in school-aged children diagnosed with Autism Spectrum Disorder (ASD). METHODS: A total of 183 children with ASD (mean age = 7.33 +/- 1.11 years; 67.8% male) were recruited. Participants were assessed using the Childhood Joint Attention Rating Scale (C-JARS) and the Childhood Autism Rating Scale (CARS). Network models of joint attention behaviors were estimated to identify central and bridge behaviors relating to core autistic traits. RESULTS: Network analysis revealed key behavioral dyads including sharing interests with cooperative digital play, and conversational engagement paired with gaze aversion during requests. Central hub behaviors such as helping others, hyperfocus on inanimate objects, and recalling shared positive experiences showed the highest influence within the joint attention network. Gaze avoidance and lack of shared interest were less central. Bridge analysis demonstrated that imitation and relating to people had strong negative associations with joint attention difficulties, suggesting that greater joint attention corresponds to lower severity of certain autistic traits. CONCLUSION: The findings highlight distinct joint attention profiles in children with ASD and underscore imitation as a critical intervention target to improve social communication. This network-based approach offers nuanced insights into social communication deficits and supports the development of tailored therapeutic strategies for ASD. ?Identifying Core Joint Attention Behaviors and Exploring Pathways to A(epmc).pdf DeepDyve Pubget Overpricing