Autism Research最新文献

Face processing relies on predictive processes driven by low spatial frequencies (LSF) that convey coarse information prior to fine information conveyed by high spatial frequencies. However, autistic individuals might have atypical predictive processes, contributing to facial processing difficulties. This may be more normalized in autistic females, who often exhibit better socio-communicational abilities than males. We hypothesized that autistic females would display a more typical coarse-to-fine processing for socio-emotional stimuli compared to autistic males. To test this hypothesis, we asked adult participants (44 autistic, 51 non-autistic) to detect fearful faces among neutral faces, filtered in two orders: from coarse-to-fine (CtF) and from fine-to-coarse (FtC). Results show lower d’ values and longer reaction times for fearful detection in autism compared to non-autistic (NA) individuals, regardless of the filtering order. Both groups presented shorter P100 latency after CtF compared to FtC, and larger amplitude for N170 after FtC compared to CtF. However, autistic participants presented a reduced difference in source activity between CtF and FtC in the fusiform. There was also a more spatially spread activation pattern in autistic females compared to NA females. Finally, females had faster P100 and N170 latencies, as well as larger occipital activation for FtC sequences than males, irrespective of the group. Overall, the results do not suggest impaired predictive processes from LSF in autism despite behavioral differences in fear detection. However, they do indicate reduced brain modulation by spatial frequency in autism. In addition, the findings highlight sex differences that warrant consideration in understanding autistic females.

Different empathic responses are often reported in autism but remain controversial. To investigate which component of empathy is most affected by autism, we examined the affective, cognitive, and motivational components of empathy in 25 5- to 8-year-old autistic and 27 neurotypical children. Participants were presented with visual stimuli depicting people's limbs in painful or nonpainful situations while their eye movements, pupillary responses, and verbal ratings of pain intensity and empathic concern were recorded. The results indicate an emotional overarousal and reduced empathic concern to others' pain in autism. Compared with neurotypical children, autistic children displayed larger pupil dilation accompanied by attentional avoidance to others' pain. Moreover, even though autistic children rated others in painful situations as painful, they felt less sorry than neurotypical children. Interestingly, autistic children felt more sorry in nonpainful situations compared with neurotypical children. These findings demonstrated an emotional overarousal in response to others' pain in autistic children, and provide important implications for clinical practice aiming to promote socio-emotional understanding in autistic children.

Autism spectrum disorder (ASD) is a widely recognized neurodevelopmental disorder, yet the identification of reliable imaging biomarkers for its early diagnosis remains a challenge. Considering the specific manifestations of ASD in the eyes and the interconnectivity between the brain and the eyes, this study investigates ASD through the lens of retinal analysis. We specifically examined differences in the macular region of the retina using optical coherence tomography (OCT)/optical coherence tomography angiography (OCTA) images between children diagnosed with ASD and those with typical development (TD). Our findings present potential novel characteristics of ASD: the thickness of the ellipsoid zone (EZ) with cone photoreceptors was significantly increased in ASD; the large-caliber arteriovenous of the inner retina was significantly reduced in ASD; these changes in the EZ and arteriovenous were more significant in the left eye than in the right eye. These observations of photoreceptor alterations, vascular function changes, and lateralization phenomena in ASD warrant further investigation, and we hope that this work can advance interdisciplinary understanding of ASD.

Although numerous studies have emphasized the male predominance in autism spectrum disorder (ASD), how sex differences are related to the topological organization of functional networks remains unclear. This study utilized imaging data from 86 ASD (43 females, aged 7–18 years) and 86 typically developing controls (TCs) (43 females, aged 7–18 years) obtained from Autism Brain Imaging Data Exchange databases, constructed individual whole-brain functional networks, used a graph theory analysis to compute topological metrics, and assessed sex-related differences in topological metrics using a 2 × 2 factorial design. At the global level, females with ASD exhibited significantly higher cluster coefficient and local efficiency than female TCs, while no significant difference was observed between males with ASD and male TCs. Meanwhile, the neurotypical sex differences in cluster coefficient and local efficiency observed in TCs were not present in ASD. At the nodal level, ASD exhibited abnormal nodal centrality in the left middle temporal gyrus.

This study aimed to characterize aggressive behaviors in autistic youths and to identify the social environment variables most strongly linked with aggression in this clinical population. Participants were 2142 caregivers of autistic youths (ages 6.0–17.9) recruited from autism research centers across the United States. Caregivers completed self-report and behavior rating inventories that assessed both verbal and physical aggression as well as characteristics of the individual youths (sleep quality, gastrointestinal [GI] symptoms, and autism characteristics) and their families (caregiver stress, global family functioning, and sibling relations), peers (emotional bonding, number of friends), schools (academic functioning), and neighborhoods (perceived community safety). We used descriptive analyses to identify which aggressive acts were most common among autistic youths, and we performed bivariate correlations and multiple linear regression analyses to determine which characteristics of the youths and their social environments were most strongly linked with youth aggression. Verbally aggressive youth behaviors were endorsed by caregivers most frequently. Youth age and sex were not associated with verbal or physical aggression. A combination of youth and social environment characteristics accounted for 42.6% of the variance in verbal aggression and 26.0% of the variance in physical aggression. Thus, those characteristics most strongly linked with verbal and physical aggression were strained sibling relations, caregiver stress, youth sleep problems, and youth repetitive and restrictive behaviors. Viewed together, the results suggest that aggressive behaviors in autistic youths are associated with multiple characteristics pertaining to the individual youths and their immediate social environments. Implications for treatment and research are discussed.

Autism spectrum disorder (ASD) is a heterogeneous condition that affects development and functioning from infancy through adulthood. Efforts to parse the heterogeneity of the autism spectrum through subgroups such as Asperger's and Profound Autism have been controversial, and have consistently struggled with issues of reliability, validity, and interpretability. Nonetheless, methods for successfully identifying clinically meaningful subgroups within autism are needed to ensure that research, interventions, and services address the range of needs experienced by autistic individuals. The purpose of this study was to generate and test whether a simple set of questions, organized in a flowchart, could be used in clinical practice and research to differentiate meaningful subgroups based on individuals' level of functioning. Once generated, subgroups could also be compared to the recently proposed administrative category of Profound Autism and to groupings based on standardized adaptive measures. Ninety-seven adults with autism or related neurodevelopmental disorders participating in a longstanding longitudinal study, or their caregivers if they could not answer for themselves, completed phone interviews when the participants were ~30 years old. Information from these phone interviews was used to generate vignettes summarizing characteristics and aspects of the daily lives of each participant (e.g., language level, vocational activities, and social relationships). Three expert clinicians then used these vignettes to classify each participant based on their level of support needs. Meaningfully distinct subgroups within the sample were identified which could be reliably distinguished from one another. Implications of such categorizations and future directions are discussed.

Empathy is the ability to recognize the emotions of others (cognitive empathy) and to share in those emotions while maintaining a self-other distinction (emotional empathy). Previous research often, but not always, showed that autistic adults and children have lower levels of overall and cognitive empathy than non-autistic individuals. Yet how empathy manifests during adolescence, a developmental period marked by physiological, social, and cognitive change, is largely unclear. As well, we aimed to compare self versus parents' perceptions regarding adolescents' empathy. To do so, parents (N = 157) of 10–16-year-olds (N = 59 autistic) and their children (N = 133) completed empathy questionnaires. Adolescents also completed a measure of mental state recognition (Reading the Mind in the Eyes Test; RMET) and parents reported on their child's autistic traits. The tasks were completed twice ~six months apart. We found that autistic adolescents reported having lower empathic concern and higher personal distress than their non-autistic peers, whereas parents of autistic adolescents perceived them as having overall lower levels of empathy. Performance on the mental state recognition task of autistic and non-autistic adolescents' was comparable. The gap between self and parent reports regarding adolescents' empathy was explainable by parent-reported autistic traits, mainly communication difficulties. Empathy remains stable across the study's two time points. Thus, the findings do not support previous views of autistic people as having less empathy and these are possibly explainable by informant effects.

RETRACTION: S. Alispahic, E. Pellicano, A. Cutler, and M. Antoniou, “Auditory perceptual learning in autistic adults,” Autism Research 15, no. 8 (2022): 1495-1507, https://doi.org/10.1002/aur.2778.

The above article, published online on 05 July 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors; journal Editor-in-Chief, David G. Amaral; International Society for Autism Research; and Wiley Periodicals, LLC. The authors received notice from a third party regarding methodological errors which affected participant data. The authors shared this information with the journal and have confirmed that the errors confound the results and conclusions of the article. As the results are fundamentally impacted by the errors, all parties agree that the article must be retracted. The authors have stated that they are preparing a revised version of their article to be submitted in a future publication.

Memory strategies in autistic adults seem to mimic strategies at older age, as both younger autistic and older non-autistic individuals use fewer semantic features in visual memory tasks. Therefore, the current study aims to investigate whether early differences in memory strategies lead to altered age-related effects in autism, particularly whether initial difficulties in strategy use become advantageous at older age (i.e., “protective aging”). A total of 147 participants across four groups (autistic younger/older, non-autistic younger/older) completed an online assessment. This assessment included a recognition version of the Visual Patterns Test (VPT) to evaluate semantic strategy use in visual memory, the Just Noticeable Difference (JND) size task for assessing visual processing, and the Multifactorial Memory Questionnaire to evaluate subjective memory functioning and strategy use (MMQ). Unexpectedly, all groups benefited from semantic features on the VPT, although the older groups performed less accurately and slower than the younger groups. The JND Size task showed no group differences. Autistic adults rated their MMQ memory as worse than non-autistic adults, despite reporting greater strategy use. These results indicate that cognitive strategies might be more similar between younger/older and autistic/non-autistic people than previously expected, although notable discrepancies between objective and subjective measures were present. They also substantiate previously reported parallel (i.e., similar) age-related effects between autistic and non-autistic people.

Motor delays in children with autism spectrum disorder (ASD) are being increasingly recognized using a brief screening tool, called the Developmental Coordination Disorder-Questionnaire (DCD-Q). Further validation of these motor delays using a more robust normed, developmental measure is clearly warranted. In this analysis, a nationally representative sample from the SPARK study was used wherein parents completed the DCD-Q and a more widely used developmental/adaptive functioning measure, called the Vineland Adaptive Behavior Scales (VABS); which comprises of various developmental domains including the motor domain (N = 2,644 completed the DCD-Q and VABS). Eighty two percent children with ASD had a motor delay based on their DCD-Q scores whereas 77% children with ASD had a motor delay based on their VABS motor domain scores. Approximately 70% children with ASD had concurrent motor delay on the DCD-Q and the VABS (i.e., positive predictive value of DCD-Q). Furthermore, there was 81.2% accuracy in reporting a risk/no risk of motor delay across both measures. Overall, these statistics align with the recent reports on proportions of children with ASD having motor delays. Parents of ~70% children with ASD are reporting motor delays that are corroborated across two different motor measures. This not only validates the motor delays reported based on the DCD-Q but also indicates the need for concurrent motor screening using both DCD-Q and VABS for better detection of motor delays in children with ASD. Only 10%–32% of the current SPARK sample received any physical or recreational therapies. This mismatch between presence of motor delays and the lack of access to motor services highlights the need for more motor intervention referrals for children with ASD.