Autism spectrum disorder (ASD) is a serious mental disorder with a complex pathogenesis mechanism and variable presentation among individuals. Although many deep learning algorithms have been used to diagnose ASD, most of them focus on a single modality of data, resulting in limited information extraction and poor stability. In this paper, we propose a bilinear perceptual fusion (BPF) algorithm that leverages data from multiple modalities. In our algorithm, different schemes are used to extract features according to the characteristics of functional and structural data. Through bilinear operations, the associations between the functional and structural features of each region of interest (ROI) are captured. Then the associations are used to integrate the feature representation. Graph convolutional neural networks (GCNs) can effectively utilize topology and node features in brain network analysis. Therefore, we design a deep learning framework called BPF-GCN and conduct experiments on publicly available ASD dataset. The results show that the classification accuracy of BPF-GCN reached 82.35%, surpassing existing methods. This demonstrates the superiority of its classification performance, and the framework can extract ROIs related to ASD. Our work provides a valuable reference for the timely diagnosis and treatment of ASD.

UNASSIGNED: Altruistic cooperation (AC) is essential in human social interactions. Previous studies have investigated AC-related behavior in children with autism spectrum disorder (ASD), revealing that there is considerable individual variability in the behavior. However, this issue is still largely unexplored especially in the adult population.
UNASSIGNED: To investigate individual differences in AC-related behavior, we conducted the resource allocation task (RAT) and modified version of the ultimatum game (mUG) among adults with and without ASD.
UNASSIGNED: The study employed a cross-sectional design, involving 27 adults with ASD (mean age 29.1 ± 4.3 years; three females) and 27 adults with typical development (TD) (mean age 25.8 ± 6.7 years; two females), who completed the RAT and mUG tasks. Beyond clinical characteristics, we assessed three primary psychological metrics: the interpersonal reactivity index (IRI), Barratt impulsiveness scale, and the behavioral inhibition and activation systems.
UNASSIGNED: No significant differences were observed in the proportions of participants with high AC when assessed by RAT (p = 0.15) and mUG (p = 0.59) between the TD and ASD groups. Participants with high AC from the RAT demonstrated higher perspective-taking scores on the IRI than those with low AC within both the TD (p = 0.04) and ASD groups (p = 0.03). In the TD group, high AC individuals also scored higher on the IRI\'s fantasy subscale as per the mUG (p = 0.03); however, this trend was not present in the ASD group.
UNASSIGNED: The present findings indicate that empathy plays an important role in individual differences in AC-related behavior among adults with and without ASD, although the role could be different depending on the types of AC-related behavior between TD and ASD populations.

BACKGROUND: Autism and schizophrenia spectrum disorders (SSDs) both feature atypical social cognition. Despite evidence for comparable group-level performance in lower-level emotion processing and higher-level mentalizing, limited research has examined the neural basis of social cognition across these conditions. Our goal was to compare the neural correlates of social cognition in autism, SSDs, and typically developing controls (TDCs).
METHODS: Data came from two harmonized studies in individuals diagnosed with autism or SSDs and TDCs (aged 16-35 years), including behavioral social cognitive metrics and two functional magnetic resonance imaging (fMRI) tasks: a social mirroring Imitate/Observe (ImObs) task and the Empathic Accuracy (EA) task. Group-level comparisons, and transdiagnostic analyses incorporating social cognitive performance, were run using FSL\'s PALM for each task, covarying for age and sex (1000 permutations, thresholded at p < 0.05 FWE-corrected). Exploratory region of interest (ROI)-based analyses were also conducted.
RESULTS: ImObs and EA analyses included 164 and 174 participants, respectively (autism N = 56/59, SSD N = 50/56, TDC N = 58/59). EA and both lower- and higher-level social cognition scores differed across groups. While canonical social cognitive networks were activated, no significant whole-brain or ROI-based group-level differences in neural correlates for either task were detected. Transdiagnostically, neural activity during the EA task, but not the ImObs task, was associated with lower- and higher-level social cognitive performance.
CONCLUSIONS: Despite attempting to match our groups on age, sex, and race, significant group differences remained. Power to detect regional brain differences is also influenced by sample size and multiple comparisons in whole-brain analyses. Our findings may not generalize to autism and SSD individuals with co-occurring intellectual disabilities.
CONCLUSIONS: The lack of whole-brain and ROI-based group-level differences identified and the dimensional EA brain-behavior relationship observed across our sample suggest that the EA task may be well-suited to target engagement in novel intervention testing. Our results also emphasize the potential utility of cross-condition approaches to better understand social cognition across autism and SSDs.

BACKGROUND: Fragile X syndrome (FXS) and autism spectrum disorder (ASD) are neurodevelopmental conditions that often have a substantial impact on daily functioning and quality of life. FXS is the most common cause of inherited intellectual disability (ID) and the most common monogenetic cause of ASD. Previous literature has shown that electrophysiological activity measured by electroencephalogram (EEG) during resting state is perturbated in FXS and ASD. However, whether electrophysiological profiles of participants with FXS and ASD are similar remains unclear. The aim of this study was to compare EEG alterations found in these two clinical populations presenting varying degrees of cognitive and behavioral impairments.
METHODS: Resting state EEG signal complexity, alpha peak frequency (APF) and power spectral density (PSD) were compared between 47 participants with FXS (aged between 5-20), 49 participants with ASD (aged between 6-17), and 52 neurotypical (NT) controls with a similar age distribution using MANCOVAs with age as covariate when appropriate. MANCOVAs controlling for age, when appropriate, and nonverbal intelligence quotient (NVIQ) score were subsequently performed to determine the impact of cognitive functioning on EEG alterations.
RESULTS: Our results showed that FXS participants manifested decreased signal complexity and APF compared to ASD participants and NT controls, as well as altered power in the theta, alpha and low gamma frequency bands. ASD participants showed exaggerated beta power compared to FXS participants and NT controls, as well as enhanced low and high gamma power compared to NT controls. However, ASD participants did not manifest altered signal complexity or APF. Furthermore, when controlling for NVIQ, results of decreased complexity in higher scales and lower APF in FXS participants compared to NT controls and ASD participants were not replicated.
CONCLUSIONS: These findings suggest that signal complexity and APF might reflect cognitive functioning, while altered power in the low gamma frequency band might be associated with neurodevelopmental conditions, particularly FXS and ASD.

Children with visual impairment (VI) are at risk of autism spectrum disorder (ASD); however standard observational diagnostic assessments are not validated for this population. The primary objective of the study is to validate a modified version of the Autism Diagnostic Observation Schedule (ADOS-2®, Module 3), for children with VI. A cross-sectional observational study was undertaken with 100 (mean 5½ years, SD 10.44 months, range 4-7 years; 59 (59%) males) children with congenital disorders of the peripheral visual system with moderate/severe-profound VI. As the primary objective, 83 (83%) who were \'verbally fluent\' were assessed with the modified ADOS-2® (Module 3). Their scores were investigated for reliability, construct and criterion validity against expert clinician formulation and parent-rated social and communication questionnaires (Social Responsiveness Scale-2, SRS-2; Children\'s Communication Checklist-2). The secondary objective with the total sample was to report on frequency and distribution of ASD ratings in this VI population. The modified ADOS-2® (Module 3) was found to have strong internal coherence and construct validity (two factor model) and inter-rater reliability. A new VI diagnostic algorithm was established which showed high sensitivity and specificity against clinician formulation. Using the best cut-off threshold for \'High Risk for ASD\', strong concurrent criterion validity was found according to parent-rated scores on the SRS-2. The modified ADOS-2® (Module 3) was shown to have promising reliability and validity in establishing children at \'High Risk of ASD\' in this vulnerable population. Elevated rates of ASD were found across the sample, in line with previous estimates.

OBJECTIVE: Restricted and/or repetitive displays of behavior, interests, or activities (RRBs) are one of the core symptom domains of autism spectrum disorder (ASD). Current and past research indicates two \'clusters\' of RRBs in children with ASD: repetitive sensorimotor (e.g., hand/finger and more complex motor mannerisms) and insistence on sameness (e.g., resistance to changes in the environment) behaviors. The current study aims to fill a gap by examining how RRBs may diverge in individuals with ASD and with other neurodevelopmental disorders (ONDD) in a clinical sample.
METHODS: A total of 558 individuals were seen at a tertiary care clinic for a comprehensive clinical assessment of ASD. The sample was split into ASD (n = 292 individuals) and ONDD (n = 266) groups based on clinical diagnosis. Exploratory factor analyses were conducted using Autism Diagnostic Interview-Revised (ADI-R) RRB item scores for the overall sample, the ASD group, and the ONDD group.
RESULTS: Exploratory factor analysis of ADI-R RRB items indicated a 2-factor solution for the full sample and ASD group. Items loaded onto two factors comprised of \"Repetitive Sensorimotor\" and \"Insistence on Sameness\" behaviors, consistent with previous literature. Results demonstrated a unique loading pattern for the non-ASD group, with items clustering into \"Higher Order\" (e.g., circumscribed interests) and \"Lower Order\" (e.g., hand and finger mannerisms) behaviors.
CONCLUSIONS: The results of the current study may point towards using RRBs to guide screening of children who are referred for an ASD evaluation to better identify children who are at higher risk of having ASD.

This study aimed to investigate the changes in sleep quality and quantity among families following the arrival of an autism service dog. We hypothesized that the sleep of the child or adolescent with autism spectrum disorder (assessed objectively with actigraphy and subjectively with a parent-reported sleep diary), and of both parents (assessed by self-reported diaries) would improve after the dog\'s arrival. The sleep of 18 youths (15 boys) aged from 5 to 16 years (M = 8.86), and of their parents (14 mothers, 11 fathers) was assessed for a 5- to 7-day period before (pretest) and eight to ten weeks after the dog\'s arrival (posttest). A designated parent (the same at the pretest and posttest) completed the sleep diary of the child, who wore an actiwatch in the meantime. Significant improvement in most sleep parameters was observed from pretest to posttest for the child and the mother, as reported in the sleep diaries. However, there was no improvement in the child\'s sleep when assessed objectively. Fathers\' sleep duration increased after the dog\'s arrival, when adjusting for the child\'s age. All significant effects had medium to large sizes. This study provides the first quantitative evidence of the positive effect of autism service dogs on the sleep of families. These findings suggest that the dog\'s presence may increase the sense of safety for the child, who would resume sleeping faster or stay in the bedroom after nocturnal awakenings, leading to improved parents\' sleep.

This article identifies the multifaceted challenges that hinder optimal oral health among children diagnosed with autism spectrum disorder (ASD). While dental care is a fundamental aspect of overall well-being, children with ASD encounter unique obstacles that often go unnoticed. Drawing from a comprehensive review of existing literature and insights from healthcare professionals, this article explores the sensory sensitivities, communication difficulties, and behavioral issues that contribute to suboptimal oral hygiene in this demographic. We also discuss the critical role of caregivers, dentists, and educators in addressing these challenges, emphasizing the importance of early intervention and tailored strategies to improve the oral health of children with ASD. By shedding light on these obstacles, this article aims to foster a more inclusive and holistic approach to oral healthcare for children with ASD, ultimately enhancing their overall quality of life.

Pathogenic variants in the BRD4 interacting chromatin remodeling complex associated protein (BICRA) are linked to BICRA-related neurodevelopmental disorders. These disorders are characterized by developmental delay, intellectual disability, and dysmorphic facial features, along with behavioral abnormalities, poor growth, vision abnormalities, and feeding difficulties. We present the case of a three-year-old male diagnosed with autism spectrum disorder (ASD), developmental speech delay, and epilepsy. Whole exome sequencing with copy number variant (CNV) analysis revealed a heterozygous variant of uncertain significance in the BICRA gene (c.1246G>C, p.Ala416Pro). This case report aims to highlight a gene associated with BICRA-related neurodevelopmental disorders that is rarely described in ASD patients. Further research is crucial to explore the role of chromatin remodeling in the etiology and development of ASD.

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