Autism spectrum traits in normal individuals: a preliminary VBM analysis

Volume-based and Surface-Based Methods in Autism Compared with Healthy Controls Are Free surfer and CAT12 in Agreement?

Objectives

Autism Spectrum Disorder (ASD) encompasses a range of neurodevelopmental disorders, and early detection is crucial. This study aims to identify the Regions of Interest (ROIs) with significant differences between healthy controls and individuals with autism, as well as evaluate the agreement between FreeSurfer 6 (FS6) and Computational Anatomy Toolbox (CAT12) methods.

Materials & Methods

Surface-based and volume-based features were extracted from FS software and CAT12 toolbox for Statistical Parametric Mapping (SPM) software to estimate ROI-wise biomarkers. These biomarkers were compared between 18 males Typically Developing Controls (TDCs) and 40 male subjects with ASD to assess group differences for each method. Finally, agreement and regression analyses were performed between the two methods for TDCs and ASD groups.

Results

Both methods revealed ROIs with significant differences for each parameter. The Analysis of Covariance (ANCOVA) showed that both TDCs and ASD groups indicated a significant relationship between the two methods (p<0.001). The R2 values for TDCs and ASD groups were 0.692 and 0.680, respectively, demonstrating a moderate correlation between CAT12 and FS6. Bland-Altman graphs showed a moderate level of agreement between the two methods.

Conclusion

The moderate correlation and agreement between CAT12 and FS6 suggest that while some consistency is observed in the results, CAT12 is not a superior substitute for FS6 software. Further research is needed to identify a potential replacement for this method.

Whole-brain gray matter maturation trajectories associated with autistic traits from adolescence to early adulthood

A growing number of evidence supports a continued distribution of autistic traits in the general population. However, brain maturation trajectories of autistic traits as well as the influence of sex on these trajectories remain largely unknown. We investigated the association of autistic traits in the general population, with longitudinal gray matter (GM) maturation trajectories during the critical period of adolescence. We assessed 709 community-based adolescents (54.7% women) at age 14 and 22. After testing the effect of sex, we used whole-brain voxel-based morphometry to measure longitudinal GM volumes changes associated with autistic traits measured by the Social Responsiveness Scale (SRS) total and sub-scores. In women, we observed that the SRS was associated with slower GM volume decrease globally and in the left parahippocampus and middle temporal gyrus. The social communication sub-score correlated with slower GM volume decrease in the left parahippocampal, superior temporal gyrus, and pallidum; and the social cognition sub-score correlated with slower GM volume decrease in the left middle temporal gyrus, the right ventromedial prefrontal and orbitofrontal cortex. No longitudinal association was found in men. Autistic traits in young women were found to be associated with specific brain trajectories in regions of the social brain and the reward circuit known to be involved in Autism Spectrum Disorder. These findings support both the hypothesis of an earlier GM maturation associated with autistic traits in adolescence and of protective mechanisms in women. They advocate for further studies on brain trajectories associated with autistic traits in women.

Autism Traits and Cognitive Performance: Mediating Roles of Sleep Disturbance, Anxiety and Depression

Theories about autism spectrum disorder (ASD) have addressed cognitive deficits however few have examined how comorbid diagnoses, including sleep disturbance, anxiety and depression contribute to the underlying deficits. We investigated potential mediations of common ASD comorbidities in the relationship between sub-clinical autism traits and cognitive performance using an international community sample. Cognitive tasks assessed working memory [executive functioning (EF) theory], mental state attribution [theory of mind (ToM)], and global/local visual processing [weak central coherence (WCC) theory]. Structural equation modelling (SEM) demonstrated sleep disturbance and anxiety mediated the relationship of autism traits on measures of EF, but not WCC and ToM. This suggests that treating the symptoms of sleep disturbance and anxiety may lead to improvements in working memory.

Non-linguistic comprehension, social inference and empathizing skills in autistic young adults, young adults with autistic traits and control young adults: Group differences and interrelatedness of skills

BACKGROUND

Despite increasing knowledge of social communication skills of autistic peole, the interrelatedness of different skills such as non-linguistic comprehension, social inference and empathizing skills is not much known about. A better understanding of the complex interplay between different domains of social communication helps us to develop assessment protocols for individuals with social communication difficulties.

AIMS

To compare the performances of autistic young adults, young adults with autistic traits identified in childhood and control young adults in social communication tasks measuring non-linguistic comprehension, social inference and empathizing skills. In addition, to examine associations between the different social communication measures.

METHODS & PROCEDURES

Autistic young adults (n = 34), young adults with autistic traits (n = 19) and control young adults (n = 36) completed the extra- and paralinguistic scales of the Assessment Battery for Communication (ABaCo), the Faux Pas Recognition Test, Social-Pragmatic Questions (SoPra) and the Empathy Quotient (EQ).

OUTCOMES & RESULTS

Group differences were found in the performance in the ABaCo, SoPra and EQ scores. Compared with the control young adults, autistic young adults scored lower. The performance of the young adults in the autistic traits group fell in between the other two groups. There were no group differences in the Faux Pas Recognition Test. The variability within the groups was large in all measurements. In the control group, there was a significant correlation between EQ and SoPra scores and between the Faux Pas and SoPra scores. In the autistic group, a significant correlation was found between Faux Pas and SoPra scores. Also, other patterns were observed but these were not statistically significant.

CONCLUSIONS & IMPLICATIONS

The young adults with autistic traits fell in between the control and autistic young adults, highlighting the presence of the continuum in the terms of features of social communication. The results support other current research that suggests that theory of mind and other social communication skills may not be universally or widely impaired in all autistic individuals without cognitive deficits. Although all tasks examined social communication skills, only a small number of significant correlations were found between test scores. This highlights that clinical conclusions about a person's social communication should be based on the outcomes of different types of methods measuring different aspects of social communication. It is clear that the interrelatedness of different social communication skills needs further research.

WHAT THIS PAPER ADDS

What is already known on this subject For successful communication, the ability to infer others' emotions, intentions and mental states is crucial. Autistic people have difficulty with many aspects of social communication. However, the associations between different aspects of social communication need to be better understood. What this paper adds to existing knowledge The unique contribution of this study is to compare the performance of autistic people not only with that of a control group but also with people with childhood autistic traits. This provides an understanding of the interrelatedness of different social communication skills in people with varying degrees of autistic traits. This study used four assessment methods focusing on three different social communication elements (non-linguistic comprehension, social inference and empathizing skills). These elements have complex relationships to one another, some being closely overlapping, some more distally related and some reflect more complex multifactorial elements. This study shows that although groups differ from each other in most of the assessments, the performance of different groups overlapped showing that many autistic young adults can perform well in non-linguistic and social inference tasks in structured assessment contexts. What are the potential or actual clinical implications of this work? Our findings suggest that in the assessment of social communication, self-reports and clinical assessments can be used effectively together. They can complement each other, pointing out the strengths and weaknesses of a person, leading to more personalized therapeutic interventions.

The Autism Spectrum Quotient in a sample of Brazilian adults: analyses of normative data and performance

Autism spectrum disorder (ASD) is characterized by difficulties in social interaction and inflexible behaviors/interests. To quantify ASD traits in adults with preserved intelligence, the Autism Spectrum Quotient (AQ) was developed, which is a self-report instrument and one of the most used and recommended tools.

Associations of subclinical autistic-like traits with brain structural variation using diffusion tensor imaging and voxel-based morphometry

Background

Previous case–control studies of autistic spectrum disorder (ASD) have identified altered brain structure such as altered frontal and temporal cortex volumes, or decreased fractional anisotropy (FA) within the inferior fronto-occipital fasciculus in patients. It remains unclear whether subclinical autistic-like traits might also be related to variation in these brain structures.

Methods

In this study, we analyzed magnetic resonance imaging (MRI) data of 250 psychiatrically healthy subjects phenotyped for subclinical autistic-like traits using the Autism Spectrum Quotient (AQ). For data analysis, we used voxel-based morphometry of T1-MRIs (Computational Anatomy Toolbox) and tract-based spatial statistics for diffusion tensor imaging data.

Results

AQ attention switching subscale correlated negatively with FA values in the bilateral uncinate fasciculus as well as the bilateral inferior fronto-occipital fasciculus. Higher AQ attention switching subscale scores were associated with increased mean diffusivity and radial diffusivity values in the uncinate fasciculus, while axial diffusivity values within this tract show a negative correlation. AQ attention to detail subscale correlated positively with gray matter volume in the right pre- and postcentral gyrus.

Conclusions

We demonstrate that individuals with higher levels of autism-spectrum-like features show decreased white matter integrity in tracts associated with higher-level visual processing and increased cortical volume in areas linked to movement sequencing and working memory. Our results resemble regional brain structure alterations found in individuals with ASD. This offers opportunities to further understand the etiology and pathogenesis of the disorder and shows a subclinical continuum perspective.

Increased grey matter volume of the right superior temporal gyrus in healthy children with autistic cognitive style: A VBM study

The empathizing-systemizing model describes human cognitive style using empathizing (the drive to identify another's mental state and respond appropriately) and systemizing (the drive to assess or construct rule-based systems). 'Brain type' was envisioned to explain individual differences in cognitive style based on the discrepancy of the two drives. In this model, individuals with autism spectrum disorder (ASD), a neurodevelopmental disorder, have extremely stronger systemizing. Revealing the underlying mechanisms of individual differences in cognitive style might contribute to elucidation of the pathology of ASD. We used voxel-based morphometry to compare the brain structures among the brain types (those who have stronger empathizing, those who have equally stronger drive to both, and those who have stronger systemizing) in 207 healthy children (age range: 5-15). Results showed that children with stronger systemizing had significantly greater grey matter volume of the right superior temporal gyrus (rSTG) than the others. The brain region, a distinctive brain structure of those with stronger systemizing, was overlapped with that of children with ASD. The rSTG is involved in detailed perceptual processing in social cognition, which is partially related to stronger systemizing. Our results contribute to elucidation of the underlying mechanisms of individual differences in cognitive style.

Is There a Relationship Between Cyber-Dependent Crime, Autistic-Like Traits and Autism?

International law enforcement agencies have reported an apparent preponderance of autistic individuals amongst perpetrators of cyber-dependent crimes, such as hacking or spreading malware (Ledingham and Mills in Adv Autism 1:1–10, 2015). However, no empirical evidence exists to support such a relationship. This is the first study to empirically explore potential relationships between cyber-dependent crime and autism, autistic-like traits, explicit social cognition and perceived interpersonal support. Participants were 290 internet users, 23 of whom self-reported being autistic, who completed an anonymous online survey. Increased risk of committing cyber-dependent crime was associated with higher autistic-like traits. A diagnosis of autism was associated with a decreased risk of committing cyber-dependent crime. Around 40% of the association between autistic-like traits and cyber-dependent crime was mediated by advanced digital skills.

Support Vector Machines, Multidimensional Scaling and Magnetic Resonance Imaging Reveal Structural Brain Abnormalities Associated With the Interaction Between Autism Spectrum Disorder and Sex

Despite substantial efforts, it remains difficult to identify reliable neuroanatomic biomarkers of autism spectrum disorder (ASD) based on magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). Studies which use standard statistical methods to approach this task have been hampered by numerous challenges, many of which are innate to the mathematical formulation and assumptions of general linear models (GLM). Although the potential of alternative approaches such as machine learning (ML) to identify robust neuroanatomic correlates of psychiatric disease has long been acknowledged, few studies have attempted to evaluate the abilities of ML to identify structural brain abnormalities associated with ASD. Here we use a sample of 110 ASD patients and 83 typically developing (TD) volunteers (95 females) to assess the suitability of support vector machines (SVMs, a robust type of ML) as an alternative to standard statistical inference for identifying structural brain features which can reliably distinguish ASD patients from TD subjects of either sex, thereby facilitating the study of the interaction between ASD diagnosis and sex. We find that SVMs can perform these tasks with high accuracy and that the neuroanatomic correlates of ASD identified using SVMs overlap substantially with those found using conventional statistical methods. Our results confirm and establish SVMs as powerful ML tools for the study of ASD-related structural brain abnormalities. Additionally, they provide novel insights into the volumetric, morphometric, and connectomic correlates of this epidemiologically significant disorder.

Autistic traits in neurotypical individuals are associated with increased landmark use during navigation

People adopt two distinct learning strategies during navigation. "Spatial learners" navigate by building a cognitive map using environmental landmarks, and display more grey matter in the hippocampus. Conversely, "response learners" memorize a series of rigid turns to navigate and display more grey matter in the caudate nucleus of the striatum. Evidence has linked these two structures with autism spectrum disorder (ASD) and autistic traits in non-clinical populations. Both people with ASD and neurotypical people with higher levels of autistic traits have been shown to display more grey matter in the hippocampus and less functional activity in the caudate nucleus. We therefore tested 56 healthy participants who completed the Autism Quotient (AQ) Scale and the 4-on-8 Virtual Maze (4/8 VM), which determines the reliance on landmarks during navigation. We found that people who relied on landmarks during navigation also displayed significantly higher scores on the AQ Scale. Because spatial strategies are associated with increased attention to environmental landmark use and are supported by the hippocampus, our results provide a potential behavioral mechanism linking higher autistic traits (e.g., increased attention to detail and increased sensory processes) to increased hippocampal grey matter.

Investigation of autistic traits through strategic decision-making in games with adaptive agents

Autism Spectrum Disorders are characterized by difficulties in communicating and cooperating with other people. Impairment in Theory of Mind (ToM), the ability to infer what another person is thinking, may contribute to these social deficits. The present study assesses the relationship between autistic traits and decision-making in a socioeconomic game environment that measures ToM and cooperation. We quantified participant strategy during game play with computer agents that simulated aspects of ToM or fixed strategy agents with static behaviors or heuristics. Individuals with higher Autism Quotient (AQ) scores cooperated less than subjects with low AQ scores with the ToM agents. In contrast, subjects with higher AQ scores cooperated more with fixed strategy agents. Additionally, subjects with higher AQ scores spent more time than low AQ subjects signaling cooperative intent in games with fixed strategy agents while spending less time signaling cooperation with adaptive agents, indicating a preference toward systemizing behaviors in the face of uncertainty. We conclude that individuals with high levels of autistic traits are less likely to utilize ToM as a cognitive strategy, even when it is beneficial, to achieve a desired outcome.

Association testing of vasopressin receptor 1a microsatellite polymorphisms in non-clinical autism spectrum phenotypes

Variation in the AVPR1a gene, which codes for a receptor for the neurohormone vasopressin, has been found to relate to autism risk. Interestingly, variation in this gene also relates to differences in social behaviour in non-clinical populations. Variation in this gene may affect expression of AVPR1a receptors in brain areas involved in social behaviour. Here, we tested whether AVPR1a variation was associated with Autism Quotient (AQ) scores, a questionnaire that measures non-clinical manifestations of autism, in a population of 873 healthy university students. The AVPR1a RS1 and RS3 microsatellites were examined, and variants were categorized as "long" or "short". The RS3 long/long genotype was significantly associated with a higher AQ score (i.e., a more autistic-like phenotype) for the combined population and for females only. Further examination showed that this relationship was due to a specific RS3 variant, termed the "target allele", which previous research has linked to reduced altruism and increased marital problems in healthy individuals. We also observed that the relationship between RS3 genotype and AQ score was mainly due to the "attention switching" (the ability to shift attention from one task to another) component of the questionnaire; this ability is commonly impaired in autism spectrum disorders. Overall, our study establishes continuity between the existing AVPR1a research in clinical and non-clinical populations. Our results suggest that vasopressin may exert its effects on social behaviour in part by modulating attentional focus between social and non-social cues. Autism Res 2017, 10: 750-756. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.