Autistic traits are associated with frequent psychological distress, suicidal ideation, and everyday functional challenges. These associations may be especially prominent in women. Some women with autistic traits “camouflage” feelings of awkwardness in typical social situations by effortfully engaging in expected social behaviors. We explored camouflaging because emerging evidence posits an association between camouflaging behaviors and poorer outcomes related to mental health, daily functioning, and access to mental health care. We recruited a sample of 58 women (age M = 25 years; IQ M = 115) who reported that they find social situations confusing and who scored high on a measure of broad autistic traits ( Broad Autism Phenotype Questionnaire score > 3). The majority of participants reported significant levels of psychological distress, suicidal ideation, and daily functioning difficulties. Regression models showed that camouflaging efforts ( Camouflaging Autistic Traits Questionnaire) and autistic traits ( Social Responsiveness Scale, Second Edition) modestly but significantly predicted psychological distress and functional challenges, respectively. In a subgroup of participants with high Camouflaging Autistic Traits Questionnaire scores, camouflaging scores were significantly associated with psychological distress and functional challenges. Camouflaging may help predict when clinicians should be concerned about higher mental health distress in autistic women and may be beneficial to measure as part of a comprehensive, multimethod assessment of mental health in women who report difficulties fitting into social situations. Lay Abstract Women who try to hide or “camouflage” their autistic traits are likely to report that they feel distressed, think of suicide, and/or struggle to function in everyday life. We asked 58 women with autistic traits to complete questionnaires about camouflaging and mental health. Most of these women did not have a formal diagnosis of autism, yet a majority reported that they camouflaged autistic traits, and a large majority reported significant mental health challenges. Some researchers have suggested that women with autistic traits are more likely than autistic men to experience mental health challenges because women may try more to “fit in” socially by camouflaging their autistic traits. Analyses showed that camouflaging was associated with feeling distressed (depressed, anxious, and/or stressed). For women who reported above-average levels of camouflaging, camouflaging was also associated with having thoughts about suicide and struggling to function in everyday life. Trying to camouflage autistic traits was associated with mental health challenges, regardless of whether those traits were very mild or more severe. The findings of this study may influence how mental health professionals evaluate and treat women with autistic traits.

BackgroundFunctional neuroimaging research in autism spectrum disorder has reported patterns of decreased long-range, within-network, and interhemispheric connectivity. Research has also reported increased corticostriatal connectivity and between-network connectivity for default and attentional networks. Past studies have excluded individuals with autism and low verbal and cognitive performance (LVCP), so connectivity in individuals more significantly affected with autism has not yet been studied. This represents a critical gap in our understanding of brain function across the autism spectrum.MethodsUsing behavioral support procedures adapted from Nordahl, et al. (J Neurodev Disord 8:20–20, 2016), we completed non-sedated structural and functional MRI scans of 56 children ages 7–17, including LVCP children (n = 17, mean IQ = 54), children with autism and higher performance (HVCP, n = 20, mean IQ = 106), and neurotypical children (NT, n = 19, mean IQ = 111). Preparation included detailed intake questionnaires, video modeling, behavioral and anxiety reduction techniques, active noise-canceling headphones, and in-scan presentation of the Inscapes movie paradigm from Vanderwal et al. (Neuroimage 122:222–32, 2015). A high temporal resolution multiband echoplanar fMRI protocol analyzed motion-free time series data, extracted from concatenated volumes to mitigate the influence of motion artifact. All participants had > 200 volumes of motion-free fMRI scanning. Analyses were corrected for multiple comparisons.ResultsLVCP showed decreased within-network connectivity in default, salience, auditory, and frontoparietal networks (LVCP < HVCP) and decreased interhemispheric connectivity (LVCP < HVCP=NT). Between-network connectivity was higher for LVCP than NT between default and dorsal attention and frontoparietal networks. Lower IQ was associated with decreased connectivity within the default network and increased connectivity between default and dorsal attention networks.ConclusionsThis study demonstrates that with moderate levels of support, including readily available techniques, information about brain similarities and differences in LVCP individuals can be further studied. This initial study suggested decreased network segmentation and integration in LVCP individuals. Further imaging studies of LVCP individuals with larger samples will add to understanding of origins and effects of autism on brain function and behavior.Electronic supplementary materialThe online version of this article (10.1186/s13229-018-0248-y) contains supplementary material, which is available to authorized users.

Mathematics achievement in autism spectrum disorder (ASD) has been understudied. However, the ability to solve applied math problems is associated with academic achievement, everyday problem-solving abilities, and vocational outcomes. The paucity of research on math achievement in ASD may be partly explained by the widely-held belief that most individuals with ASD are mathematically gifted, despite emerging evidence to the contrary. The purpose of the study was twofold: to assess the relative proportions of youth with ASD who demonstrate giftedness versus disability on applied math problems, and to examine which cognitive (i.e., perceptual reasoning, verbal ability, working memory) and clinical (i.e., test anxiety) characteristics best predict achievement on applied math problems in ASD relative to typically developing peers. Twenty-seven high-functioning adolescents with ASD and 27 age- and Full Scale IQ-matched typically developing controls were assessed on standardized measures of math problem solving, perceptual reasoning, verbal ability, and test anxiety. Results indicated that 22% of the ASD sample evidenced a mathematics learning disability, while only 4% exhibited mathematical giftedness. The parsimonious linear regression model revealed that the strongest predictor of math problem solving was perceptual reasoning, followed by verbal ability and test anxiety, then diagnosis of ASD. These results inform our theories of math ability in ASD and highlight possible targets of intervention for students with ASD struggling with mathematics.

Objective Impairments in learning are central to autism spectrum disorders. The authors investigated the cognitive and neural basis of these deficits in young adults with autism spectrum disorders using a well-characterized probabilistic reinforcement learning paradigm. Method The probabilistic selection task was implemented among matched participants with autism spectrum disorders (N=22) and with typical development (N=25), aged 18–40 years, using rapid event-related functional MRI. Participants were trained to choose the correct stimulus in high-probability (AB), medium-probability (CD), and low-probability (EF) pairs, presented with valid feedback 80%, 70%, and 60% of the time, respectively. Whole-brain voxel-wise and parametric modulator analyses examined early and late learning during the stimulus and feedback epochs of the task. Results The groups exhibited comparable performance on medium- and low-probability pairs. Typically developing persons showed higher accuracy on the high-probability pair, better win-stay performance (selection of the previously rewarded stimulus on the next trial of that type), and more robust recruitment of the anterior and medial prefrontal cortex during the stimulus epoch, suggesting development of an intact reward-based working memory for recent stimulus values. Throughout the feedback epoch, individuals with autism spectrum disorders exhibited greater recruitment of the anterior cingulate and orbito-frontal cortices compared with individuals with typical development, indicating continuing trial-by-trial activity related to feedback processing. Conclusions Individuals with autism spectrum disorders exhibit learning deficits reflecting impaired ability to develop an effective reward-based working memory to guide stimulus selection. Instead, they continue to rely on trial-by-trial feedback processing to support learning dependent upon engagement of the anterior cingulate and orbito-frontal cortices.

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