Associations between social anxiety, physiological reactivity, and speech disfluencies in autistic young adults and controls.

INTRODUCTION: The aim of this study was to examine possible associations of social anxiety (SA) and speaking-related physiological reactivity with the frequencies of a) total disfluencies, b) typical disfluencies, and c) stuttering-like disfluencies, as well as d) stuttering-severity in autistic young adults and controls. METHODS: Thirty-two autistic young adults and 35 controls participated in this study. Participants were presented with video clips (viewing condition) and were then asked to talk about the videos (narrating condition). SA was measured by the self-report Social Phobia and Anxiety Inventory (SPAI). Speaking-related physiological reactivity was measured by the electrodermal activity (EDA), an index of emotional arousal. The speech samples from the narrating condition were analyzed for type and frequency of speech disfluencies and used for determining the stuttering severity. SA and speaking-related physiological reactivity were compared between the groups. Correlation between SA, physiological reactivity, disfluency frequencies, and stuttering severity were tested separately for both groups. RESULTS: No between-group differences were found in the overall SA, yet differences were found in SPAI subscales of social interaction, group interaction, and avoidance, as well as in agoraphobia. Both groups had higher physiological arousal in narrating condition in comparison to the video viewing condition, yet there was no between-group difference in the reactivity. No associations were found between SPAI measures, physiological reactivity, disfluency frequencies, and stuttering severity in the autistic group. In the control group, a negative association was found between physiological reactivity and total and typical disfluency frequencies. CONCLUSIONS: SA or speaking-related physiological reactivity were not associated with disfluency frequencies or stuttering severity in autistic persons. Negative association between physiological reactivity and disfluency frequencies found in the control group may indicate that the physiological arousal may impact the speech production process by reducing the overt disfluencies.

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.

Neural-level associations of non-verbal pragmatic comprehension in young Finnish autistic adults.

This video-based study examines the pragmatic non-verbal comprehension skills and corresponding neural-level findings in young Finnish autistic adults, and controls. Items from the Assessment Battery of Communication (ABaCo) were chosen to evaluate the comprehension of non-verbal communication. Inter-subject correlation (ISC) analysis of the functional magnetic resonance imaging data was used to reveal the synchrony of brain activation across participants during the viewing of pragmatically complex scenes of ABaCo videos. The results showed a significant difference between the ISC maps of the autistic and control groups in tasks involving the comprehension of non-verbal communication, thereby revealing several brain regions where correlation of brain activity was greater within the control group. The results suggest a possible weaker modulation of brain states in response to the pragmatic non-verbal communicative situations in autistic participants. Although there was no difference between the groups in behavioural responses to ABaCo items, there was more variability in the accuracy of the responses in the autistic group. Furthermore, mean answering and reaction times correlated with the severity of autistic traits. The results indicate that even if young autistic adults may have learned to use compensatory resources in their communicative-pragmatic comprehension, pragmatic processing in naturalistic situations still requires additional effort.

Co-activation pattern alterations in autism spectrum disorder-A volume-wise hierarchical clustering fMRI study.

INTRODUCTION: There has been a growing effort to characterize the time-varying functional connectivity of resting state (RS) fMRI brain networks (RSNs). Although voxel-wise connectivity studies have examined different sliding window lengths, nonsequential volume-wise approaches have been less common. METHODS: Inspired by earlier co-activation pattern (CAP) studies, we applied hierarchical clustering (HC) to classify the image volumes of the RS-fMRI data on 28 adolescents with autism spectrum disorder (ASD) and their 27 typically developing (TD) controls. We compared the distribution of the ASD and TD groups' volumes in CAPs as well as their voxel-wise means. For simplification purposes, we conducted a group independent component analysis to extract 14 major RSNs. The RSNs' average z-scores enabled us to meaningfully regroup the RSNs and estimate the percentage of voxels within each RSN for which there was a significant group difference. These results were jointly interpreted to find global group-specific patterns. RESULTS: We found similar brain state proportions in 58 CAPs (clustering interval from 2 to 30). However, in many CAPs, the voxel-wise means differed significantly within a matrix of 14 RSNs. The rest-activated default mode-positive and default mode-negative brain state properties vary considerably in both groups over time. This division was seen clearly when the volumes were partitioned into two CAPs and then further examined along the HC dendrogram of the diversifying brain CAPs. The ASD group network activations followed a more heterogeneous distribution and some networks maintained higher baselines; throughout the brain deactivation state, the ASD participants had reduced deactivation in 12/14 networks. During default mode-negative CAPs, the ASD group showed simultaneous visual network and either dorsal attention or default mode network overactivation. CONCLUSION: Nonsequential volume gathering into CAPs and the comparison of voxel-wise signal changes provide a complementary perspective to connectivity and an alternative to sliding window analysis.

Atypical Inter-Network Deactivation Associated With the Posterior Default-Mode Network in Autism Spectrum Disorder.

Previous studies have suggested that atypical deactivation of functional brain networks contributes to the complex cognitive and behavioral profile associated with autism spectrum disorder (ASD). However, these studies have not considered the temporal dynamics of deactivation mechanisms between the networks. In this study, we examined (a) mutual deactivation and (b) mutual activation-deactivation (i.e., anticorrelated) time-lag patterns between resting-state networks (RSNs) in young adults with ASD (n = 20) and controls (n = 20) by applying the recently defined dynamic lag analysis (DLA) method, which measures time-lag variations peak-by-peak between the networks. In order to achieve temporally accurate lag patterns, the brain imaging data was acquired with a fast functional magnetic resonance imaging (fMRI) sequence (TR = 100 ms). Group-level independent component analysis was used to identify 16 RSNs for the DLA. We found altered mutual deactivation timings in ASD in (a) three of the deactivated and (b) two of the transiently anticorrelated (activated-deactivated) RSN pairs, which survived the strict threshold for significance of surrogate data. Of the significant RSN pairs, 80% included the posterior default-mode network (DMN). We propose that temporally altered deactivation mechanisms, including timings and directionality, between the posterior DMN and RSNs mediating processing of socially relevant information may contribute to the ASD phenotype. LAY SUMMARY: To understand autistic traits on a neural level, we examined temporal fluctuations in information flow between brain regions in young adults with autism spectrum disorder (ASD) and controls. We used a fast neuroimaging procedure to investigate deactivation mechanisms between brain regions. We found that timings and directionality of communication between certain brain regions were temporally altered in ASD, suggesting atypical deactivation mechanisms associated with the posterior default-mode network.

Processing of pragmatic communication in ASD: a video-based brain imaging study.

Social and pragmatic difficulties in autism spectrum disorder (ASD) are widely recognized, although their underlying neural level processing is not well understood. The aim of this study was to examine the activity of the brain network components linked to social and pragmatic understanding in order to reveal whether complex socio-pragmatic events evoke differences in brain activity between the ASD and control groups. Nineteen young adults (mean age 23.6 years) with ASD and 19 controls (mean age 22.7 years) were recruited for the study. The stimulus data consisted of video clips showing complex social events that demanded processing of pragmatic communication. In the analysis, the functional magnetic resonance imaging signal responses of the selected brain network components linked to social and pragmatic information processing were compared. Although the processing of the young adults with ASD was similar to that of the control group during the majority of the social scenes, differences between the groups were found in the activity of the social brain network components when the participants were observing situations with concurrent verbal and non-verbal communication events. The results suggest that the ASD group had challenges in processing concurrent multimodal cues in complex pragmatic communication situations.