Pubmed (TSA) du 07/03/26
1. Adouni O, Bessadok A, Hamroun M, Ejbali R, Sakli H. Multimodal data integration for early autism detection and LLM-driven personalized intervention: A review. Comput Med Imaging Graph. 2026; 130: 102743.
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that poses significant challenges for early detection and intervention. AI is playing an increasingly important role in advancing healthcare research, particularly in ASD detection. Leveraging AI to integrate multimodal data and support intervention planning is essential, as it enables a more comprehensive and accurate understanding of autistic behaviors while facilitating the development of timely, personalized treatment strategies. However, despite the advancements and ongoing efforts, current AI applications often struggle to effectively integrate multimodal data for early autism detection and optimize intervention planning. Addressing these concerns, we first examine the emerging role of AI in integrating diverse data modalities (e.g. image, audio, video…), to provide a more comprehensive understanding of autism. Then, we discuss the application of generative models such as Large Language Models (LLMs) in early intervention planning, this involves the generation of medical reports that outline personalized treatment plans for autistic children. By integrating these research topics, we aim to provide a holistic view of current advancements and future directions in autism early detection.
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2. Balser S, Wei W, Johnson LR, Wenzell ML, Zauszniewski JA. A Scoping Review of Caregiver Worries of Transition-Aged Autistic Youth. J Autism Dev Disord. 2026.
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3. Huang M, Ye H, Xu Y, Xie J, Wang X, Luo Y, Liu P, Ma X, Zhang S, Jiang B, Ye WC, Peng Y, Shi L. Correction of eIF4E overactivation rescues translatome imbalance and core ASD-like behaviors in valproic acid-induced offspring mice. Mol Psychiatry. 2026.
Perturbed protein synthesis plays a crucial role in the pathogenesis of autism spectrum disorder (ASD), but the altered translational pattern and underlying mechanism remain poorly understood. Here, we identified an exaggeration of global protein synthesis in the cerebral cortex of offspring mice following prenatal exposure of valproic acid (VPA), a well-established ASD model. Integrative analysis of polyribosome-based translatome and proteome data revealed remarkable upregulation of ribosomal and mitochondrial genes in VPA-exposed cortex at both translational and protein levels, but not transcriptional levels. Further analysis pinpoints that overactivation of the translation initiation factor eIF4E causes the aberrant translatome and mitochondrial impairments in VPA-exposed cortex. Pharmacological inhibition of eIF4E phosphorylation during juvenile displayed persistent effectiveness in mitigating ASD-like social deficits and stereotyped behavior in VPA mice until adulthood. Collectively, these findings demonstrate that eIF4E overactivation leads to imbalanced protein synthesis that favors translation of ribosomal and mitochondrial genes, causing core ASD-like behaviors.
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4. Jia XY, Moretti ME, Ungar WJ, Wittmeier K, Filliter JH, O’Donnell M, Khan F, Smith T, Zwicker J, Majnemer A. Parent coaching program for children with emerging developmental disabilities while on a waitlist for services: cost analysis from a family payer perspective. BMC Pediatr. 2026.
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5. Klein J, Krahn RL, Howe SJ, Cormier A, Rush J, Ames M, McMorris CA, Macoun S. Examining social camouflaging and its cognitive, mental health and neurophysiological correlates in autistic adolescents through triangulation-based assessment using self, parent and daily diary reports: a study protocol. BMJ Open. 2026; 16(3): e111221.
INTRODUCTION: Social camouflaging (SC; ie, the concealing of autistic traits to socially assimilate) is associated with poor mental health, self-identity and quality of life outcomes, yet its typology, consequences and contextual triggers remain unexplored in autistic adolescents. Further study is necessary to identify protective factors against the potentially negative outcomes associated with SC to promote long-term well-being. METHODS: The current project will investigate SC in youth and its mental health, cognitive and neurophysiological correlates. Camouflaging will be captured by triangulating self-reported and caregiver-reported SC behaviours, as well as SC behaviours in day-to-day contexts using intensive longitudinal methods (ie, daily diaries). Non-autistic, self-identifying autistic and formally diagnosed autistic adolescents aged 15-18 years (N=150) will be recruited. Adolescents and caregivers will complete rating scales to assess mental health, and adolescents will complete in-lab cognitive assessments of attention, executive function, intellectual ability and theory of mind. Brain neurophysiological function and cortisol concentration over time will be measured during the same visit using electroencephalography and hair samples, respectively. Over the following 7 days, adolescents will complete daily diaries using their smartphones. The daily diaries pose survey questions about the type and degree of SC behaviour used within their daily environment, including the social context, individuals who are present and current well-being. Adolescents will also complete brief performance-based cognitive assessments of attention and executive function integrated within the daily diary surveys. Finally, adolescents and their parents will complete a follow-up of SC behaviours and mental health at 3 months. Correlations and regression analyses will be conducted to explore the associations between SC and mental health/cognitive outcomes and how baseline measures of cognition, mental health and SC predict patterns seen on the daily diaries. Multilevel modelling will be used, nesting daily data to capture within-person and between-group differences in contextual predictors of camouflaging behaviour. Results will contribute to current understanding of the typology of camouflaging, as well as inform intervention to mitigate mental health challenges for autistic youth. ETHICS AND DISSEMINATION: This project is approved by the University of Victoria Human Research Ethics Board (#23-0013) and the University of Calgary Conjoint Faculties Research Ethics Board (#23-0641). Informed consent will be obtained from caregivers and adolescent participants, and safety procedures will be put in place to support the adolescent should mental health concerns arise. Results will be disseminated through academic publications and conferences, as well as summarised and communicated to interested participants and relevant stakeholders.
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6. Krakowski AD, Cost KT, Vandewouw M, Szatmari P, Anagnostou E, Crosbie J, Schachar R, Duku E, Georgiades S, Ayub M, Kelley E, Nicolson R, Pullenayegum E, Barnett-Tapia C. Identifying Neurodevelopmental Domain Subgroups in Autism and ADHD. J Autism Dev Disord. 2026.
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7. Xu D, Chen J, Chen H, Wu C, Xiong Z. Self-compassion and self-efficacy among parents of children with autism: the mediating role of trust and the moderating role of social support. BMC Psychol. 2026.
