Autism Research最新文献

There is minimal research on the quality of community partnerships in studies of interventions for autistic children. However, building high quality community engagement in autism intervention research may improve implementation outcomes. This systematic review examined studies that report community partnership in autism intervention research. A total of 135 articles were identified and 11 of these articles were included in the final review. Community partnership data were extracted using indicators from the conceptual framework for assessing research-practice partnerships (RPP; Henrick et al., Henrick et al., Assessing research-practice partnerships: Five dimensions of effectiveness, William T. Grant Foundation, 2017) and implementation outcomes data were extracted using the taxonomy of distinct implementation outcomes (Proctor et al., Administration and Policy in Mental Health and Mental Health Services Research, 38:65–76, 2011). Quality of studies were appraised using JBIs critical appraisal tools (Munn et al., JBI Evidence Synthesis, 18:2127–2133, 2020). RPP indicators and implementation outcomes were variably reported across studies. RPP indicators and implementation outcomes more likely to be reported were related to building trust, cultivating partnership relationships, conducting rigorous research to inform action, acceptability, and feasibility. RPP indicators and implementation outcomes less likely to be reported were related to building capacity to engage in partnership work, sustainability, cost, and penetration. Together, these results may suggest the need for increased sustainability and capacity building efforts in partnerships and increased guidelines for reporting outcomes.

Speech ability may limit spoken language development in some minimally verbal autistic children. In this study, we aimed to determine whether an acoustic measure of speech production, vowel distinctiveness, is concurrently related to expressive language (EL) for autistic children. Syllables containing the vowels [i] and [a] were recorded remotely from 27 autistic children (4;1–7;11) with a range of spoken language abilities. Vowel distinctiveness was calculated using automatic formant tracking software. Robust hierarchical regressions were conducted with receptive language (RL) and vowel distinctiveness as predictors of EL. Hierarchical regressions were also conducted within a High EL and a Low EL subgroup. Vowel distinctiveness accounted for 29% of the variance in EL for the entire group, RL for 38%. For the Low EL group, only vowel distinctiveness was significant, accounting for 38% of variance in EL. Conversely, in the High EL group, only RL was significant and accounted for 26% of variance in EL. Replicating previous results, speech production and RL significantly predicted concurrent EL in autistic children, with speech production being the sole significant predictor for the Low EL group and RL the sole significant predictor for the High EL group. Further work is needed to determine whether vowel distinctiveness longitudinally, as well as concurrently, predicts EL. Findings have important implications for the early identification of language impairment and in developing language interventions for autistic children.

Autism can be considered both a personal and social identity. Identifying the factors contributing to positive Autistic identity development is crucial given the potential implications for mental health and wellbeing. In this systematic review, we aimed to synthesize quantitative literature on Autistic identity to identify the (individual and environmental) factors associated with Autistic identity, and to ascertain the relationship between Autistic identity and mental health and wellbeing. A total of 3,617 studies were screened and 20 met our inclusion criteria. Results indicated that people developed a more positive Autistic identity when receiving external autism acceptance and external support. The association between individual factors and Autistic identity were largely nonsignificant or inconclusive, highlighting the need for broad support that meets the needs of a range of Autistic people, rather than specific subgroups. Importantly, positive Autistic identity was associated with improved mental health and wellbeing. Peer support and/or self-directed support resources may be valuable mechanisms for supporting Autistic people to cultivate a positive Autistic identity. The evaluation of such support, including the long-term impacts on identity development, will be a critical avenue for future research.

Autistic individuals show substantially reduced benefit from observing visual articulations during audiovisual speech perception, a multisensory integration deficit that is particularly relevant to social communication. This has mostly been studied using simple syllabic or word-level stimuli and it remains unclear how altered lower-level multisensory integration translates to the processing of more complex natural multisensory stimulus environments in autism. Here, functional neuroimaging was used to examine neural correlates of audiovisual gain (AV-gain) in 41 autistic individuals to those of 41 age-matched non-autistic controls when presented with a complex audiovisual narrative. Participants were presented with continuous narration of a story in auditory-alone, visual-alone, and both synchronous and asynchronous audiovisual speech conditions. We hypothesized that previously identified differences in audiovisual speech processing in autism would be characterized by activation differences in brain regions well known to be associated with audiovisual enhancement in neurotypicals. However, our results did not provide evidence for altered processing of auditory alone, visual alone, audiovisual conditions or AV- gain in regions associated with the respective task when comparing activation patterns between groups. Instead, we found that autistic individuals responded with higher activations in mostly frontal regions where the activation to the experimental conditions was below baseline (de-activations) in the control group. These frontal effects were observed in both unisensory and audiovisual conditions, suggesting that these altered activations were not specific to multisensory processing but reflective of more general mechanisms such as an altered disengagement of Default Mode Network processes during the observation of the language stimulus across conditions.

Common variants account for most of the estimated heritability associated with autism spectrum disorder (autism). Although several replicable single nucleotide polymorphisms (SNPs) for the condition have been detected using genome-wide association study (GWAS) methodologies, their pathophysiological relevance remains elusive. Examining this is complicated, however, as all detected loci are situated within non-coding regions of the genome. It is therefore likely that they possess roles of regulatory function as opposed to directly affecting gene coding sequences. To bridge the gap between SNP discovery and mechanistic insight, we applied a comprehensive bioinformatic pipeline to functionally annotate autism-associated polymorphisms and their non-coding linkage disequilibrium (i.e., non-randomly associated) partners. We identified 82 DNA variants of probable regulatory function that may contribute to autism pathogenesis. To validate these predictions, we measured the impact of 11 high-confidence candidates and their GWAS linkage disequilibrium partners on gene expression in human brain tissue from Autistic and non-Autistic donors. Although a small number of the surveyed variants exhibited measurable influence on gene expression as determined via quantitative polymerase chain reaction, these did not survive correction for multiple comparisons. Additionally, no significant genotype-by-diagnosis effects were observed for any of the SNP-gene associations. We contend that this may reflect an inability to effectively capture the modest, neurodevelopmental-specific impact of individual variants on biological dysregulation in available post-mortem tissue samples, as well as limitations in the existing autism GWAS data.

Camouflaging (using (un)conscious strategies to appear as non-autistic) is thought to be an important reason for late autism diagnoses and mental health difficulties. However, it is unclear whether only autistic people camouflage or whether people with other neurodevelopmental or mental health conditions also use similar camouflaging strategies. Therefore, in this preregistered study (AsPredicted: #41811) study, we investigated if adults with attention-deficit/hyperactivity-disorder (ADHD) also camouflage. Adults aged 30–90 years filled in the Dutch Camouflaging Autistic Traits Questionnaire (CAT-Q-NL), the ADHD Self-Report (ADHD-SR) and the Autism Spectrum Quotient (AQ). We investigated differences in camouflaging between adults with ADHD, autism, and a comparison group in an age and sex-matched subsample (N = 105 per group). We explored if autism and ADHD traits explained camouflaging levels in adults with an autism and/or ADHD diagnosis (N = 477). Adults with ADHD scored higher on total camouflaging and assimilation subscale compared to the comparison group. However, adults with ADHD scored lower on total camouflaging, and subscales compensation and assimilation than autistic adults. Autism traits, but not ADHD traits, were a significant predictor of camouflaging, independent of diagnosis. Thus, camouflaging does not seem to be unique to autistic adults, since adults with ADHD also show camouflaging behavior, even though not as much as autistic adults. However, as the CAT-Q-NL specifically measures camouflaging of autistic traits it is important to develop more general measures of camouflaging, to compare camouflaging more reliably in people with different mental health conditions. Furthermore, focusing on camouflaging in adults with ADHD, including potential consequences for late diagnoses and mental health seems a promising future research avenue.

Initial studies of the emotional safety plan (ESP), a new, brief telehealth and mobile intervention to support autistic adults to cope with periods of distress, have reported feasibility and acceptability (Bal et al., 2023, Autism, 1–13). Herein we report the preliminary clinical outcomes of thirty-six autistic adults who developed a personalized ESP, with a specific interest in comparing “outcomes” demonstrated by different instruments and assessment frequencies in order to inform outcome measurement in future clinical trials. Comparison of pre-intervention baseline to post-monitoring outcome (pre–post) anxiety symptoms (Generalized Anxiety Disorder-7 [GAD-7]) and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]) revealed medium effect sizes for reduction in symptoms, though, low effect sizes were observed for pre–post Adult Self-report Anxiety and Depressive Problems scales and the Emotion Dysregulation Inventory Reactivity and Dysphoria scales. Weekly assessments showed an initial decrease in GAD-7 anxiety symptoms but no effect on weekly PHQ-9 depressive ratings. Ecological momentary assessment (EMA) data suggested that, when participants reported feeling sad or agitated and used the ESP, reduced negative feelings and increased positive states were reported in subsequent EMA. Perhaps not surprisingly, preliminary outcomes of these feasibility trials differed depending on measure chosen. Implications for the design of clinical trials are discussed.

In this paper, we investigated the psychometric properties of the Child Communication Checklist-Revised (CCC-R) for the first time with an English-speaking sample. We used a confirmatory application of exploratory structural equation modeling (ESEM) to re-evaluate the CCC-R's psychometric properties. We found strong support for its use as an assessment for pragmatic and structural language. Our second main aim was to explore associations between pragmatic and structural language and restricted and repetitive behaviors (RRBs), two hallmark characteristics of autism. We used the CCC-R and Repetitive Behavior Questionnaire (RBQ-2) to investigate these associations in a diverse non-clinical sample of children, taking a transdiagnostic approach. We intentionally excluded autism and other neurodevelopmental diagnoses to test, (1) the CCC-R in a broad sample and (2) the association between pragmatic language and RRB in children not already selected for that association. The sample comprised two groups of children, one was community sampled (n = 123) and the other (n = 143) included children with non-specific behavioral, emotional and/or cognitive difficulties referred to an assessment unit by schools. We found clear associations between pragmatic language difficulties and RRBs in both groups. Regression analysis showed that pragmatic language was the only significant contributor to RRBs even after Grammatical-Semantic score, age, sex, and socioeconomic status were controlled. The pattern was the same for both recruitment groups. However, the effects were stronger for the school-referred group which also had more pragmatic difficulties, grammatical-semantic difficulties and RRBs. A robust link between pragmatic language and RRBs, established in autism, has continuity across the broader non-clinical population.

Holingue, C., Pfeiffer, D., Ludwig, N. N., Reetzke, R., Hong, J. S., Kalb, L. G., & Landa, R. (2023). Prevalence of gastrointestinal symptoms among autistic individuals, with and without co-occurring intellectual disability. Autism Research. https://doi.org/10.1002/aur.2972.

The following attribution language was mistakenly omitted: This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under the Autism Intervention Research Network on Physical Health (AIR-P) grant, UT2MC39440. The information, content and/or conclusions are those of the authors and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.

We apologize for this error.

Given the increasing role of artificial intelligence (AI) in many decision-making processes, we investigate the presence of AI bias towards terms related to a range of neurodivergent conditions, including autism, ADHD, schizophrenia, and obsessive-compulsive disorder (OCD). We use 11 different language model encoders to test the degree to which words related to neurodiversity are associated with groups of words related to danger, disease, badness, and other negative concepts. For each group of words tested, we report the mean strength of association (Word Embedding Association Test [WEAT] score) averaged over all encoders and find generally high levels of bias. Additionally, we show that bias occurs even when testing words associated with autistic or neurodivergent strengths. For example, embedders had a negative average association between words related to autism and words related to honesty, despite honesty being considered a common strength of autistic individuals. Finally, we introduce a sentence similarity ratio test and demonstrate that many sentences describing types of disabilities, for example, “I have autism” or “I have epilepsy,” have even stronger negative associations than control sentences such as “I am a bank robber.”