Testing predictive coding theories of autism spectrum disorder using models of active inference.

Several competing neuro-computational theories of autism have emerged from predictive coding models of the brain. To disentangle their subtly different predictions about the nature of atypicalities in autistic perception, we performed computational modelling of two sensorimotor tasks: the predictive use of manual gripping forces during object lifting and anticipatory eye movements during a naturalistic interception task. In contrast to some accounts, we found no evidence of chronic atypicalities in the use of priors or weighting of sensory information during object lifting. Differences in prior beliefs, rates of belief updating, and the precision weighting of prediction errors were, however, observed for anticipatory eye movements. Most notably, we observed autism-related difficulties in flexibly adapting learning rates in response to environmental change (i.e., volatility). These findings suggest that atypical encoding of precision and context-sensitive adjustments provide a better explanation of autistic perception than generic attenuation of priors or persistently high precision prediction errors. Our results did not, however, support previous suggestions that autistic people perceive their environment to be persistently volatile.

Identifying the most important research, policy and practice questions for substance use, problematic alcohol use and behavioural addictions in autism (SABA-A): A priority setting partnership.

BACKGROUND: Autistic people are more likely to report problematic alcohol and other substance use when compared to the general population. Evidence suggests that up to one in three autistic adults may have an alcohol or other substance use disorder (AUD/SUD), although the evidence base for behavioural addictions is less clear. Autistic people may use substances or engage in potentially addictive behaviours as a means of coping with social anxiety, challenging life problems, or camouflaging in social contexts. Despite the prevalence and detrimental effects of AUD, SUD and behavioural addictions in community samples, literature focusing on the intersection between autism and these conditions is scarce, hindering health policy, research, and clinical practice. METHODS: We aimed to identify the top 10 priorities to build the evidence for research, policy, and clinical practice at this intersection. A priority-setting partnership was used to address this aim, comprising an international steering committee and stakeholders from various backgrounds, including people with declared lived experience of autism and/or addiction. First, an online survey was used to identify what people considered key questions about Substance use, alcohol use, or behavioural addictions in autistic people (SABA-A). These initial questions were reviewed and amended by stakeholders, and then classified and refined to form the final list of top priorities via an online consensus process. OUTCOMES: The top ten priorities were identified: three research, three policy, and four practice questions. Future research suggestions are discussed.

Digitally mediated service provision for children's social, emotional and mental health: key indicators for evaluation.

INTRODUCTION: Remote delivery of assessment, consultation and therapy via digital communication technologies in mental health services is important in rural locations, and has rapidly increased due to the COVID-19 pandemic. METHODS: This UK-based research investigated what factors should be considered in the development and evaluation of digitally mediated service provision for children and young people with social, emotional and mental health (SEMH) needs using two approaches: (1) a focus group with five young people (aged 16-19 years) and (2) an online survey with 18 parents/carers of primary-age children with SEMH difficulties. RESULTS: Getting help quickly was most important to both young people and parents/carers when accessing services, with having a say in their care of equal importance to young people but not parents/carers. Analysis identified participants' preferences and perceived positives and negatives of digitally mediated service provision. CONCLUSION: Digitally mediated service provision should be timely and patient-centred to be considered acceptable by young people with SEMH needs and their parents/carers. Evaluations should include comprehensive measures of service efficiency and service user experience to better understand the benefits of digital mediation.

To What Extent Can Digitally-Mediated Team Communication in Children's Physical Health and Mental Health Services Bring about Improved Outcomes? A Systematic Review.

Digital communication technologies can be used for team consultation, case management, and information sharing in health and mental health services for children and young people (CYP). The objective of the systematic review was to investigate the evidence as to whether digitally-mediated team communication for CYP improves outcomes. We searched PsycINFO, PubMed, Web of Science, and Cochrane Library for relevant studies. Results were synthesised narratively. Seven studies were identified from 439 initial records. Analysis highlighted that digitally-mediated team communication is generally valued by professionals for supporting practice and that there is overall satisfaction with the process. There was preliminary evidence (from one study) that clinical outcomes from digitally-mediated team communication are comparable to those achieved by a collaborative service model with direct specialist care to service users via digital communication technology. There is a need for further high-quality research into clinical outcomes and service user experience, as well as financial implications.

Predictive sensorimotor control in autism.

Autism spectrum disorder has been characterized by atypicalities in how predictions and sensory information are processed in the brain. To shed light on this relationship in the context of sensorimotor control, we assessed prediction-related measures of cognition, perception, gaze and motor functioning in a large general population (n = 92; Experiment 1) and in clinically diagnosed autistic participants (n = 29; Experiment 2). In both experiments perception and action were strongly driven by prior expectations of object weight, with large items typically predicted to weigh more than equally-weighted smaller ones. Interestingly, these predictive action models were used comparably at a sensorimotor level in both autistic and neurotypical individuals with varying levels of autistic-like traits. Specifically, initial fingertip force profiles and resulting action kinematics were both scaled according to participants' pre-lift heaviness estimates, and generic visual sampling behaviours were notably consistent across groups. These results suggest that the weighting of prior information is not chronically underweighted in autism, as proposed by simple Bayesian accounts of the disorder. Instead, our results cautiously implicate context-sensitive processing mechanisms, such as precision modulation and hierarchical volatility inference. Together, these findings present novel implications for both future scientific investigations and the autism community.

Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits.

Recent research proposes that sensorimotor difficulties, such as those experienced by many autistic people, may arise from atypicalities in prediction. Accordingly, we examined the relationship between non-clinical autistic-like traits and sensorimotor prediction in the material-weight illusion, where prior expectations derived from material cues typically bias one's perception and action. Specifically, prediction-related tendencies in perception of weight, gaze patterns, and lifting actions were probed using a combination of self-report, eye-tracking, motion-capture, and force-based measures. No prediction-related associations between autistic-like traits and sensorimotor control emerged for any of these variables. Follow-up analyses, however, revealed that greater autistic-like traits were correlated with reduced adaptation of gaze with changes in environmental uncertainty. These findings challenge proposals of gross predictive atypicalities in autistic people, but suggest that the dynamic integration of prior information and environmental statistics may be related to autistic-like traits. Further research into this relationship is warranted in autistic populations, to assist the development of future movement-based coaching methods.

Autistic characteristics in adults with epilepsy and perceived seizure activity.

UNLABELLED: The prevalence of autism spectrum disorders in epilepsy is approximately 15%-47%, with previous research by Wakeford and colleagues reporting higher autistic traits in adults with epilepsy. The aim of this study was to investigate autistic characteristics and their relationship to having seizures by employing two behavioral assessments in two samples: adults with epilepsy and controls. METHOD: The study employed the Social Responsiveness Scale - Shortened (SRS-S) (patients with epilepsy (n=76), control (n=19)) and the brief Repetitive Behavior Scale - Revised (RBS-R) (patients with epilepsy (n=47), control (n=21)). This study employed a unique method to quantify the extent to which autistic characteristics are related to perceived mild seizure activity. Adults with epilepsy were instructed to rate their usual behavior on each assessment and, at the same time, rate their behavior again when they perceived that they were having mild seizure activity. RESULTS: Significantly higher SRS-S scores were related to having a diagnosis of epilepsy and were perceived by adults with epilepsy to increase during mild seizure activity. These scores positively correlated with antiepileptic drug control. No difference was found for RBS-R scores in adults with epilepsy compared with controls. CONCLUSION: Together, these results suggest that adults with epilepsy have higher autistic characteristics measured by the social responsiveness scale, while sameness behaviors remain unimpaired. The autistic characteristics measured by the social responsiveness scale were reported by adults with epilepsy to be more severe during their mild seizure activity.

Autistic characteristics in adults with epilepsy.

INTRODUCTION: The reported prevalence of autism spectrum disorders in people with epilepsy ranges from 15% to 47%. Despite the high comorbidity, there has been a lack of systematic studies of autistic characteristics in epilepsy. Little is known about the relationship of epilepsy to the core characteristics of autism. The aim of this research was to measure autistic traits and characteristics in adults with epilepsy who do not have a diagnosis of any autism disorder. METHOD: We investigated autistic characteristics in adults with epilepsy and those without epilepsy employing the Autism Spectrum Quotient (group with epilepsy, n = 40; control group, n = 38) and systemizing and empathizing abilities employing the Intuitive Physics test and the Adult Eyes Task-Revised (group with epilepsy, n = 19; control group, n = 23). RESULTS: Significantly more autistic behavioral traits, as measured by the AQ, were related to having epilepsy, but intact systemizing and empathizing abilities in these adults suggest that, in adults with epilepsy, autism-like symptoms may be present in the absence of wider cognitive profiles characteristic of autism. CONCLUSION: Increased autistic characteristics found in adults with epilepsy without an ASD diagnosis suggest that epilepsy syndromes may incorporate behavioral aspects of autism in the absence of some of its core cognitive features.

Autistic adults' inclination to lie in everyday situations.

LAY ABSTRACT: Differences in social communication and understanding others' mental states may mean that autistic adults are less likely to deceive others than non-autistic individuals. We investigated whether autistic and non-autistic adults differ in their inclination to lie and which psychological factors are involved in the inclination to lie. We found that autistic and non-autistic groups reported a similar inclination to lie, and the extent to which participants viewed lying as acceptable helped to explain their inclination to deceive others. However, the other underlying psychological factors associated with deception inclination differed between autistic and non-autistic groups. Autistic adults' belief about their ability to lie and also how quickly they could lie helped to explain whether they were more or less inclined to lie. For non-autistic adults, their memory and ability to understand others' mental states helped to explain their lie inclination. We discuss these findings and recommend areas for future research.

Supporting autistic communities through parent-led and child/young person-led digital social story interventions: an exploratory study.

Introduction: Social Stories (SS) is a socially-valid intervention for autistic children and young people (CYP) which is used widely by professionals and parents. Research suggests that whilst parents are in an ideal position to deliver interventions for their autistic CYP, a lack of procedural integrity can result in a great deal of variability in parent-mediated intervention outcomes. Methods: This exploratory study investigated the extent to which SS can be effectively developed and delivered, through digital mediation, by parents with little to no researcher input (n = 17, sample 1) and the factors that impact effectiveness. Furthermore, the study also investigated the extent to which digitally-mediated SS can support autistic CYP to develop and deliver their own stories, thereby utilising the intervention as a means for self-support and self-management (n = 5, sample 2). Results: The outcomes of the study indicate that digital mediation can effectively support parent-led SS intervention. Findings also indicate that receptive/expressive language skills of autistic CYP, their level of systemizing, as well as the practice of consulting with the autistic CYP whilst identifying goals and developing stories, are individual and procedural characteristics which positively influence the effectiveness of the parent-led intervention. The study also found that digitally-mediated SS can be utilised as a self-support tool by autistic CYP themselves. Discussion: The results inform the developing literature on digital interventions and support tools that aim to engage with, and involve further, the autistic community in the setting and authoring of interventions and research.

Paranoia and Data-Gathering Biases in Autism.

Previous research has identified contradictory patterns in autism upon probabilistic reasoning tasks, and high levels of self-report paranoia symptoms have also been reported. To explore this relationship, the present study assessed 64 non-autistic and 39 autistic adults on two variants of a probabilistic reasoning task which examined the amount of evidence required before making a decision and 'jumping to conclusions' (a neutral beads task and an emotionally-salient words variant). The autism group was found to require significantly more evidence before making a decision and to have significantly less jumping to conclusions than the non-autistic group. For those with relatively low levels of paranoia, the emotionally-salient variant impacted on the non-autistic group, but not the autism group.

Differences in Art Appreciation in Autism: A Measure of Reduced Intuitive Processing.

Art appreciation reflects an initial emotional and intuitive response to artwork evaluation, although this intuitive evaluation can be attenuated by subsequent deliberation. The Dual Process Theory of Autism proposes that individuals with Autism Spectrum Disorder (ASD) have a greater propensity to deliberate and reduced intuition compared to matched controls. Evaluations of high- and low-quality artworks were undertaken by 107 individuals with a diagnosis of ASD and 145 controls. Controls consistently evaluated high-quality artworks to be much better quality than the low-quality artworks, reflecting intuitive processing. The ASD sample showed a reduced difference in evaluations between high- versus low-quality artwork, which reflects reduced intuitive processing and greater deliberative processing and is consistent with predictions by the Dual Process Theory of Autism.

Thinking, fast and slow on the autism spectrum.

LAY ABSTRACT: What is already known about the topicDaniel Kahneman wrote a highly influential book titled 'thinking, fast and slow'. He proposes that people usually think in a rapid, automatic, intuitive style. When people realise their intuitive thinking may be wrong, a slower, effortful, deliberative style of thinking takes over. It has recently been proposed that thinking in autistic individuals can be characterised as usually thinking in the deliberative style (rather than the intuitive style that non-autistic people usually think in).What this paper addsAs intuitive thinking is fast and deliberative thinking is slow, this research manipulated the time available to complete a series of reasoning questions. These questions have been developed to have intuitive answers (which are incorrect) and deliberative answers (which are correct). For the first time, a fast time manipulation (you must answer quickly) and slow (you must think about your answer before responding) was undertaken with autistic individuals. Autistic participants did produce more deliberative answers than the non-autistic participants. However, both groups produced comparably more intuitive answers and less deliberative answers in the fast condition. This shows that while autistic people tend not to use their intuition, autistic people can be encouraged to use their intuition.Implications for practice, research or policyUsing rapid intuition can be useful in fast-changing contexts, such as some social situations. Future research can explore how to support autistic individuals to use their intuition when the need arises. In addition, the propensity for deliberation resulting in unbiased, correct responses reflects a strengths-based account of autism. This requires more mental effort and is less susceptible to bias and errors. This is called 'Dual Process Theory'.

The impact of higher levels of autistic traits on risk of hikikomori (pathological social withdrawal) in young adults.

BACKGROUND: Hikikomori is an extreme state of social withdrawal, originally identified in Japan but more recently recognised internationally. Many countries imposed restrictions during the COVID-19 pandemic which may have had a detrimental impact on those at risk of hikikomori, specifically young adults and those with high levels of autistic traits. AIMS: To explore whether levels of autistic traits mediate the relationship between psychological wellbeing and hikikomori risk. We also looked at whether autistic traits mediated between lockdown experiences (e.g. not leaving the house) and hikikomori risk. METHODS: 646 young people (aged 16-24) from a wide range of countries completed an online questionnaire assessing psychological wellbeing, autistic traits and experiences of lockdown for this cross-sectional study. RESULTS: Autistic traits mediated the relationship between both psychological wellbeing and hikikomori risk, as well as frequency of leaving the house during lockdown and hikikomori risk. Greater hikikomori risk was associated with poor psychological wellbeing, higher autistic traits and leaving the house less frequently during the COVID-19 pandemic. CONCLUSIONS: These findings suggest similarities with Japanese hikikomori research and are consistent with suggestions that psychological wellbeing and COVID-19 restrictions are associated with increased hikikomori risk in young adults, and both associations are mediated by higher levels of autistic traits.

A rule-based theoretical account of social stories to address the double empathy problem.

Social Stories™ (SS) is one of the most popular and researched interventions for autistic children. To date, research that focuses on outcomes has been prioritized over the investigation of the psychological mechanisms that inform the intervention. In this article we consider theoretical accounts proposed thus far which could underpin SS. We argue that mechanisms that are based on social deficit theories lack validity, and propose a rule-based theoretical account to inform a strengths-based approach toward conceptualizing the mechanisms that underpin SS. We apply this account to the 'double-empathy problem' to propose that SS can be adapted to involve all parties in the development and delivery of SS support by adopting a rule-based perspective. We use the example of systemizing (the drive to analyze and explore systems in terms of 'if-and-then' rules), which is proposed to be a relative autistic strength, as a form of rule-based thinking that can provide a theoretical account of SS and a framework to address the double-empathy problem.

Effective digital support for autism: digital social stories.

Social Stories™ is one of the most popular interventions for autistic children and has been researched extensively. However, effectiveness data has been gathered mainly through single-participant designs which generate outcomes which can lack generalizability and social validity. Stories Online For Autism (SOFA) is a digital application which supports the development and delivery of Social Stories in a real-world setting and has the potential to contribute toward furthering (1) Social Stories research and (2) research on digital applications for autism by gathering large data sets from multiple participants. Three data sets (N = 856) were gathered through the SOFA app and were analyzed to investigate three key variables: What predicted closeness-to-goal of the Social Stories (as rated by an adult/parent/guardian, n = 568); the child's comprehension of the Social Stories (assessed by story comprehension questions, n = 127); and the child's rating of the enjoyability of the Social Stories (n = 161). A merged data set then investigated correlations between these three key variables. Age range (≤15), gender, autism diagnosis, and the child's level of language understanding were the potential predictors for these three key variables. Regression analysis indicated that parental closeness-to-goal ratings for their children were highest for children who were younger and more verbal. Regression analysis also indicated that older children scored higher in comprehension assessment, and autistic children rated the Social Stories as more enjoyable. Closeness-to-goal, comprehension scores and enjoyment ratings did not significantly correlate with each other. This is the largest study of Social Stories effectiveness, which was enabled through the collection of data through a digital app from multiple participants. The results indicate that digital social stories are particularly effective for younger verbal children. While this was the case for all children, it was particularly true for autistic children and female (and gender-diverse) children. For the first time, the gathering of large digital data sets has highlighted that while digital Social Stories can be effective for autistic males, they can be more effective for autistic females and gender-diverse autistic individuals. Thus, the SOFA app can support the investigation of the factors which influence Social Stories outcomes that are generalizable and with high social validity.

Investigating how Explicit Contextual Cues Affect Predictive Sensorimotor Control in Autistic Adults.

Research suggests that sensorimotor difficulties in autism could be reduced by providing individuals with explicit contextual information. To test this, we examined autistic visuomotor control during a virtual racquetball task, in which participants hit normal and unexpectedly-bouncy balls using a handheld controller. The probability of facing each type of ball was varied unpredictably over time. However, during cued trials, participants received explicit information about the likelihood of facing each uncertain outcome. When compared to neurotypical controls, autistic individuals displayed poorer task performance, atypical gaze profiles, and more restricted swing kinematics. These visuomotor patterns were not significantly affected by contextual cues, indicating that autistic people exhibit underlying differences in how prior information and environmental uncertainty are dynamically modulated during movement tasks.

Police suspect interviews with autistic adults: The impact of truth telling versus deception on testimony.

Investigative interviews by police are socially and cognitively demanding encounters, likely presenting significant challenges to those on the autism spectrum. Behavioral and communication differences mean that autistic people may also be more likely to be perceived as deceptive in the context of an investigative interview. In the present study, 32 autistic and 33 (age and IQ-matched) non-autistic adults took part in a novel virtual burglary scenario in either an 'innocent' or 'guilty' condition. In a subsequent mock-police interview, innocent suspects were instructed to tell the truth about what they did, while guilty suspects were instructed to lie in order to convince the interviewer of their innocence. In the mock-interviews, innocent autistic mock-suspects reported fewer details that would support their innocence than non-autistic mock-suspects, although both innocent and guilty autistic and non-autistic mock-suspects reported similar levels of investigation-relevant information and had similar levels of statement-evidence consistency. In post-interview questionnaires, innocent and guilty autistic mock-suspects self-reported greater difficulty in understanding interview questions, higher anxiety and perceived the interview as less supportive than non-autistic participants. Implications for investigative interviewing with autistic suspects and cues to deception are discussed.

The Effectiveness of Fully Automated Digital Interventions in Promoting Mental Well-Being in the General Population: Systematic Review and Meta-Analysis.

BACKGROUND: Recent years have highlighted an increasing need to promote mental well-being in the general population. This has led to a rapidly growing market for fully automated digital mental well-being tools. Although many individuals have started using these tools in their daily lives, evidence on the overall effectiveness of digital mental well-being tools is currently lacking. OBJECTIVE: This study aims to review the evidence on the effectiveness of fully automated digital interventions in promoting mental well-being in the general population. METHODS: Following the preregistration of the systematic review protocol on PROSPERO, searches were carried out in MEDLINE, Web of Science, Cochrane, PsycINFO, PsycEXTRA, Scopus, and ACM Digital (initial searches in February 2022; updated in October 2022). Studies were included if they contained a general population sample and a fully automated digital intervention that exclusively used psychological mental well-being promotion activities. Two reviewers, blinded to each other's decisions, conducted data selection, extraction, and quality assessment of the included studies. Narrative synthesis and a random-effects model of per-protocol data were adopted. RESULTS: We included 19 studies that involved 7243 participants. These studies included 24 fully automated digital mental well-being interventions, of which 15 (63%) were included in the meta-analysis. Compared with no intervention, there was a significant small effect of fully automated digital mental well-being interventions on mental well-being in the general population (standardized mean difference 0.19, 95% CI 0.04-0.33; P=.02). Specifically, mindfulness-, acceptance-, commitment-, and compassion-based interventions significantly promoted mental well-being in the general population (P=.006); insufficient evidence was available for positive psychology and cognitive behavioral therapy-based interventions; and contraindications were found for integrative approaches. Overall, there was substantial heterogeneity, which could be partially explained by the intervention duration, comparator, and study outcomes. The risk of bias was high, and confidence in the quality of the evidence was very low (Grading of Recommendations, Assessment, Development, and Evaluations), primarily because of the high rates of study dropout (average 37%; range 0%-85%) and suboptimal intervention adherence (average 40%). CONCLUSIONS: This study provides a novel contribution to knowledge regarding the effectiveness, strengths, and weaknesses of fully automated digital mental well-being interventions in the general population. Future research and practice should consider these findings when developing fully automated digital mental well-being tools. In addition, research should aim to investigate positive psychology and cognitive behavioral therapy-based tools as well as develop further strategies to improve adherence and reduce dropout in fully automated digital mental well-being interventions. Finally, it should aim to understand when and for whom these interventions are particularly beneficial. TRIAL REGISTRATION: PROSPERO CRD42022310702; https://tinyurl.com/yc7tcwy7.

The Relationship Between Hikikomori Risk and Internet Use During COVID-19 Restrictions.

This study explores the phenomenon of hikikomori, or extreme social isolation, which for the past 20 years has been associated with a range of negative outcomes, including psychological, financial, and social. As hikikomori is associated with marked social withdrawal in one's home and increased Internet use, it has been suggested that the social and technological changes brought about by COVID-19 restrictions may exacerbate the risk of hikikomori in young adults. This study, therefore, sought to identify the relationship between hikikomori risk and changes in Internet use for young people aged 16-24 years during COVID-19 restrictions. An international sample of 826 participants completed an online survey consisting of questions about demographics, experience of lockdown restrictions in the previous 12 months, changes to Internet use in the previous 12 months and a hikikomori risk scale. Higher hikikomori risk was associated with being male, greater time spent in lockdown, and leaving the house less frequently. An increase in Internet use during lockdown was associated with reduced risk of hikikomori. Findings are discussed in relation to gender differences in the type of Internet use engaged in by males and females. It is concluded that online social interaction may be a means of mitigating hikikomori risk in post-COVID-19 societies.