Alexithymic and autistic traits: Relevance for comorbid depression and social phobia in adults with and without autism spectrum disorder

Autistic Adults Avoid Unpredictability in Decision-Making

Decision-making under unpredictable conditions can cause discomfort in autistic persons due to their preference for predictability. Decision-making impairments might furthermore be associated with a dysregulation of sex and stress hormones. This prospective, cross-sectional study investigated decision-making in 32 autistic participants (AP, 14 female) and 31 non-autistic participants (NAP, 20 female) aged 18-64 years. The Iowa Gambling Task (IGT) and the Cambridge Risk Task (CRT) were used to assess decision-making under ambiguity and under risk with known outcome probabilities, respectively. Cortisol, estradiol, and testosterone serum levels were related to decision-making performance. Groups did not differ in overall IGT and CRT performance, but compared with NAP, AP preferred less profitable card decks with predictable outcomes while avoiding those with unpredictable outcomes. AP required more time to reach decisions compared to NAP. Additionally, AP without comorbid depression performed significantly worse than NAP in the IGT. Estradiol and cortisol concentrations were significant predictors of CRT scores in NAP, but not in AP. The study results imply that AP are 'risk-averse' in decision-making under ambiguity as they avoided choice options with unpredictable losses in comparison to NAP. Our findings highlight the intolerance for uncertainty, particularly in ambiguous situations. Thus, we recommend being as transparent and precise as possible when interacting with autistic individuals. Future research should explore decision-making in social situations among individuals with ASD, factoring in person-dependent variables such as depression.

Social Anxiety Symptoms Predict Poorer Facial Emotion Recognition in Autistic Male Adolescents and Young Adults Without Intellectual Disability

Utilizing a novel computerized task, we aimed to examine whether social anxiety symptoms would be related to individual differences in facial emotion recognition (FER) in a sample of autistic male adolescents and young adults without intellectual disability. Results indicated that social anxiety and IQ predicted poorer FER, irrespective of specific emotion type. When probing specific effects within emotion and condition types, social anxiety impacted surprise and disgust FER during a truncated viewing condition and not full viewing condition. Collectively, results suggest that social anxiety in autism may play a larger role in FER than previously thought. Future work should consider the role of social anxiety within autism as a factor that may meaningfully relate to FER assessment and intervention.

The impact of depressive and anxious symptoms on quality of life in adults on the autism spectrum

Quality of life (QoL) is lower in adults on the autism spectrum (AS) compared with typically developing (TD) adults. In this context, recent studies have examined the role of depression and anxiety in reducing QoL in AS adults. The aim of this study was to (1) replicate these findings of lower QoL and (2) assess the negative influence of depressive and anxious symptoms on QoL in an adult AS (N = 86) and TD (N = 87) German sample with a broad age range (18-70 years). For this, we used questionnaires that have been validated for the AS and TD population: the World Health Organization Quality of Life Brief Version, the Autism-Specific QoL items, and the Hospital Anxiety and Depression Scale. We replicated previous findings and extended them to autism-specific QoL. Our AS sample had lower QoL compared with the TD adults. However, depressive symptoms were the largest contributor to lower QoL in both samples, more so than group membership and anxious symptoms. We conclude that interventions to improve QoL in AS adults should specifically target depressive symptoms and for this, improvements to the diagnostic process and treatment of depression in AS are necessary.

Alexithymia modulates emotion concept activation during facial expression processing

Alexithymia is characterized by difficulties in emotional information processing. However, the underlying reasons for emotional processing deficits in alexithymia are not fully understood. The present study aimed to investigate the mechanism underlying emotional deficits in alexithymia. Using the Toronto Alexithymia Scale-20, we recruited college students with high alexithymia (n = 24) or low alexithymia (n = 24) in this study. Participants judged the emotional consistency of facial expressions and contextual sentences while recording their event-related potentials. Behaviorally, the high alexithymia group showed longer response times versus the low alexithymia group in processing facial expressions. The event-related potential results showed that the high alexithymia group had more negative-going N400 amplitudes compared with the low alexithymia group in the incongruent condition. More negative N400 amplitudes are also associated with slower responses to facial expressions. Furthermore, machine learning analyses based on N400 amplitudes could distinguish the high alexithymia group from the low alexithymia group in the incongruent condition. Overall, these findings suggest worse facial emotion perception for the high alexithymia group, potentially due to difficulty in spontaneously activating emotion concepts. Our findings have important implications for the affective science and clinical intervention of alexithymia-related affective disorders.

Maternal autistic traits and anxiety in children with typical development in Chinese families: a moderated mediation model of mothers' negative emotional expressions and child gender

Background

Prior studies have focused on the effects of maternal autistic traits on children with autism, but little attention has been paid to the effects of maternal autistic traits on typically developing children, while the mechanisms of the effects are not clear.

Objective

Given that, a moderated mediation model was conducted to examine the association between maternal autistic traits and typically developing children's anxiety and the underlying mechanisms.

Methods and results

Participants were 648 mother-child dyads in which these children had no autistic siblings. Mothers reported their autistic traits and negative emotional expressions in the family and children's anxiety. The results indicated that children's anxiety was predicted by maternal autistic traits. Mediating analysis revealed that mothers' negative emotional expressions partially mediated the association between their autistic traits and children's anxiety. The findings also indicated that child gender moderated the relationship between maternal emotional expressions and children's anxiety. Specifically, anxiety in girls was more strongly predicted by negative emotional expressions from their mothers than in boys.

Conclusion

These results have important theoretical and practical implications for reducing the adverse effect of maternal autistic traits on children's anxiety, especially for girls. The present study also reveals that maternal negative emotional expression is an important mechanism. Causal conclusions cannot be drawn based on cross-sectional research design, so it is necessary to conduct longitudinal studies in the future.

Alexithymia in Adult Autism Clinic Service-Users: Relationships with Sensory Processing Differences and Mental Health

Mental health difficulties commonly co-occur with autism, especially in autistic people accessing clinic services, impacting substantially on quality-of-life. Alexithymia (difficulty describing/identifying feelings) and sensory processing differences are prevalent traits in autism that have been associated with depression/anxiety in autistic community samples. However, it is important to better understand interrelationships between these traits in clinical populations to improve identification of service-user needs. In this study, 190 autistic adults (65.3% male), seen in a tertiary autism clinic, completed self-report measures of alexithymia (20-item Toronto Alexithymia Scale), sensory processing differences (Adolescent/Adult Sensory Profile) and depression/anxiety (Hospital Anxiety and Depression Scale). Multiple linear regression models and mediation analyses were used to examine associations between alexithymia, sensory processing differences, and depression/anxiety severity. Across the sample, 66.3% of individuals (N = 126) were classified as alexithymic (score ≥ 61). Total alexithymia and difficulty describing/identifying feelings were significantly associated with depression severity (β = 0.30-0.38, highest p < 0.002), and difficulty identifying feelings was significantly associated with anxiety severity (β = 0.36, p < 0.001). Sensory processing differences were also significantly associated with depression severity (β = 0.29, p = 0.002) and anxiety severity across all models (β = 0.34-0.48, highest p < 0.001) Finally, difficulty describing/identifying feelings partially mediated the relationships between sensory processing differences and both depression/anxiety severity. Overall, these results highlight that interventions adapted for and targeting emotional awareness and sensory-related uncertainty may improve mental health outcomes in autistic service-users.

[Gender Differences in Autism Diagnostics]

Autism spectrum condition (ASC) is predominantly diagnosed in boys and men. There is evidence that this is also because girls and women with ASC don't receive a diagnosis, or, if they do, only later in life. This study investigates gender differences in diagnosis, support needs, mental health, and life satisfaction among individuals with autism spectrum condition (ASC) in Germany. Data of an online questionnaire study with 659 persons with ASC from 3-67 years of age living in Bavaria, Germany, were analyzed (215 thereof were female). It was found that women with ASC are diagnosed 7-11 years later than men and are more likely to receive at least one misdiagnosis. They are more likely than men to have unmet educational support needs and comorbid internalizing psychiatric disorders. The results of this study point towards a strong gender bias in clinical diagnosis of ASC in Germany and need for improvements in the case of women.

Pathways to Psychopathology Among Autistic Adults

PURPOSE OF REVIEW

Autistic adults frequently require treatment of mental health problems. Increased rates of suicidality and diminished quality of life among autistic people may be partially attributable to psychiatric symptoms. Some risk factors for mental health problems in autistic people are likely the same as risk factors present in neurotypical individuals, but unique factors that are specific to neurodivergent individuals, and some even more specific to autistic people, may exist. Understanding pathways from autism to mental health problems could inform intervention efforts at the individual and societal levels.

RECENT FINDINGS

We review a growing body of research identifying risk processes across the affective, cognitive, and social domains. Consistent with the principle of equifinality, different processes appear to independently and jointly lead to heightened risk for the onset of mental health problems. Autistic adults frequently utilize mental healthcare services, and experience heightened risk for chronic impairment as a result of mental health problems. Understanding causal and developmental risk processes in autism should inform personalized treatment. We synthesize extant research on these processes and offer suggestions for addressing them therapeutically and societally.

Autism traits dimensionality and multivariate relationship with alexithymia and anxiety in the general population

BACKGROUND

Autism is characterized by social and non-social alterations observed beyond the clinical diagnosis. Research analyzing the expression of autism traits in the general population helps to unravel the relationship between autism dimensions and other associated variables, such as alexithymia and anxiety. The Autism-Spectrum Quotient (AQ) was developed to assess autism traits in the general population; however, inconsistent results regarding its dimensionality have emerged.

AIMS

This study aimed to extend evidence about the AQ measurement model, and explore the multivariate relationship between autism traits, alexithymia, and trait anxiety.

METHODS

292 adults of the general population were recruited. An Exploratory Factor Analysis and Confirmatory Factor Analysis were performed to assess the factorial structure of AQ. A path analysis was carried out to explore the relationship between autism traits, alexithymia, and trait anxiety.

RESULTS

The results supported a three-factor model of AQ. The path analysis model showed evidence of a significant role of alexithymia as a mediator of the relationship between autism traits and anxiety.

CONCLUSIONS AND IMPLICATIONS

The present study provides empirical support for a three-factor model of AQ in the general population. The association between autism traits, alexithymia, and anxiety dimensions highlights the multidimensional nature of these variables and the need to account for their distinct impact on autism-related variables.

Furthering the language hypothesis of alexithymia: An integrated review and meta-analysis

Alexithymia, including the inability to identify and express one's own feelings, is a subclinical condition responsible for some of the socioemotional symptoms seen across a range of psychiatric conditions. The language hypothesis of alexithymia posits a language-mediated disruption in the development of discrete emotion concepts from ambiguous affective states, exacerbating the risk of developing alexithymia in language-impaired individuals. To provide a critical evaluation, a systematic review and meta-analysis of 29 empirical studies of language functioning in alexithymia was performed. A modest association was found between alexithymia and multi-domain language deficits (r = -0.14), including structural language, pragmatics, and propensity to use emotional language. A more theoretically-relevant subsample analysis comparing alexithymia levels in language-impaired and typical individuals revealed larger effects, but a limited number of studies adopted this approach. A synthesis of 11 emotional granularity studies also found an association between alexithymia and reduced emotional granularity (r = -0.10). Language impairments seem to increase the risk of alexithymia. Heterogeneous samples and methods suggest the need for studies with improved alexithymia assessments.

A network analysis of interoception, self-awareness, empathy, alexithymia, and autistic traits

Altered interoception has been consistently found in people with autism spectrum disorder (ASD), and this impairment may contribute to social cognitive dysfunctions. However, little is known regarding the intercorrelations between interoceptive sensibility, autistic, alexithymic, empathic, and self-related traits. We recruited 1360 non-clinical college students and adults to investigate the complex inter-relationship between these variables using network analysis. The resultant network revealed patterns connecting autistic traits to interoceptive sensibility, empathy, alexithymia, and self-awareness, with reasonable stability and test-retest consistency. The node of alexithymia exhibited the highest centrality and expected influence. As revealed by the network comparison test, networks constructed in high- and low-autistic subgroups were comparable in global strength and structure. Our findings suggested that alexithymia serves as an important node, bridging interoceptive deficits, self-awareness, and empathic impairments of autism spectrum disorder. The co-morbidity of alexithymia should be considered carefully in future studies of interoceptive impairments and social deficits in ASD.

The role of alexithymia and autistic traits in predicting quality of life in an online sample

BACKGROUND

Autistic people tend to report poorer Quality of Life (QOL) than comparison groups, though some studies do report more optimistic findings. Higher autistic traits are also related to poorer QOL. However, the role of alexithymia in this relationship has not been explored.

METHOD

A total of 163 participants (N = 53 autistic and N = 111 comparison) consented to take part; however, 30 participants were excluded due to missing data (who did not differ from those who were retained on age, gender, education, employment, or living status), leaving a final sample of 133 (N = 42 Autistic and 91 Comparison participants). Demographic information (including age, gender) was collected, alongside self-report measures of autistic traits, mental health, alexithymia, and QOL. We estimated regression models based on pre-registered analysis, and we conducted exploratory network analyses.

RESULTS

Alexithymic traits did not predict QOL when controlling for covariates. Depression significantly predicted Physical, Psychological, and Social QOL. When examining the impact of just alexithymic traits and autistic traits, both were significantly associated with Physical and Psychological QOL. For participants with a low depression score, the correlation between alexithymia and QOL was strong; suggesting that depression occludes the association between alexithymia and QOL. Network analyses suggested that depression and anxiety exert direct effects on Physical and Psychological QOL, whereas alexithymia scores may influence Physical QOL via autistic traits.

CONCLUSION

In sum, depression is a pervasive negative predictor of multiple QOL domains. The role of alexithymia in predicting QOL dimensionally and categorically was not ruled out, given our exploratory analyses, we suggest that interventions which target alexithymia may positively impact QOL for those who score low on depressive symptoms.

A cross-modal component of alexithymia and its relationship with performance in a social cognition task battery

BACKGROUND

The personality trait alexithymia describes an altered emotional awareness that is associated with a range of social impairments and constitutes a transdiagnostic risk factor for various psychopathologies. Despite the characteristic interoceptive deficits in alexithymia, it is predominantly assessed via self-reports. This can result in unreliable measurements and arguably contributes to the prevailing uncertainty regarding its components, including constricted imaginal processes and emotional reactivity.

METHODS

The current study employed an interview and two validated questionnaires to derive a shared component of multi-modally assessed alexithymia in a German non-clinical sample (n = 78) via prinicipal component analysis. This component was used as a predictor for performance in four behavioural social cognition tasks. The relative importance of this predictor against related variables was assessed via dominance analysis.

RESULTS

The identified component reflected cognitive alexithymia. Higher cognitive alexithymia scores were associated with less affective distress in an ostracizing task. Dominance analysis revealed the dominance of competing autism traits relative to cognitive alexithymia and competing predictors empathy, depression, and anxiety, in predicting affective distress.

LIMITATIONS

Emotional reactivity was only assessed via self-report and no implicit measures of alexithymia were employed. Due to the low reliability of the self-report measure, no measure of emotional reactivity could be included in the principal component analysis.

CONCLUSIONS

Our results provide compelling evidence that cognitive interoceptive deficits are at the core of alexithymia across assessment modalities. Behavioural data suggest that these deficits result in diminished emotional sensitivity to high-pressure social situations, which may cause a lack of behavioural adaptation.

Improving the measurement of alexithymia in autistic adults: a psychometric investigation of the 20-item Toronto Alexithymia Scale and generation of a general alexithymia factor score using item response theory

BACKGROUND

Alexithymia, a personality trait characterized by difficulties interpreting emotional states, is commonly elevated in autistic adults, and a growing body of literature suggests that this trait underlies several cognitive and emotional differences previously attributed to autism. Although questionnaires such as the 20-item Toronto Alexithymia Scale (TAS-20) are frequently used to measure alexithymia in the autistic population, few studies have investigated the psychometric properties of these questionnaires in autistic adults, including whether differential item functioning (I-DIF) exists between autistic and general population adults.

METHODS

This study is a revised version of a previous article that was retracted due to copyright concerns (Williams and Gotham in Mol Autism 12:1-40). We conducted an in-depth psychometric analysis of the TAS-20 in a large sample of 743 cognitively able autistic adults recruited from the Simons Foundation SPARK participant pool and 721 general population controls enrolled in a large international psychological study. The factor structure of the TAS-20 was examined using confirmatory factor analysis, and item response theory was used to generate a subset of the items that were strong indicators of a "general alexithymia" factor. Correlations between alexithymia and other clinical outcomes were used to assess the nomological validity of the new alexithymia score in the SPARK sample.

RESULTS

The TAS-20 did not exhibit adequate model fit in either the autistic or general population samples. Empirically driven item reduction was undertaken, resulting in an 8-item general alexithymia factor score (GAFS-8, with "TAS" no longer referenced due to copyright) with sound psychometric properties and practically ignorable I-DIF between diagnostic groups. Correlational analyses indicated that GAFS-8 scores, as derived from the TAS-20, meaningfully predict autistic trait levels, repetitive behaviors, and depression symptoms, even after controlling for trait neuroticism. The GAFS-8 also presented no meaningful decrement in nomological validity over the full TAS-20 in autistic participants.

LIMITATIONS

Limitations of the current study include a sample of autistic adults that was majority female, later diagnosed, and well educated; clinical and control groups drawn from different studies with variable measures; only 16 of the TAS-20 items being administered to the non-autistic sample; and an inability to test several other important psychometric characteristics of the GAFS-8, including sensitivity to change and I-DIF across multiple administrations.

CONCLUSIONS

These results indicate the potential of the GAFS-8 to robustly measure alexithymia in both autistic and non-autistic adults. A free online score calculator has been created to facilitate the use of norm-referenced GAFS-8 latent trait scores in research applications (available at https://asdmeasures.shinyapps.io/alexithymia ).

Identification of aberrant innate and adaptive immunity based on changes in global gene expression in the blood of adults with autism spectrum disorder

Background

Autism spectrum disorder (ASD) is characterized as a neurodevelopmental disorder, and one of the main hypotheses regarding its cause is genetic factors. A previous meta-analysis of seven microarray studies and one RNA sequencing (RNA-seq) study using the blood of children with ASD identified dysregulation of gene expressions relevant to the immune system. In this study, we explored changes in global gene expression as the phenotype of ASD in the blood of adults with ASD.

Methods

We recruited an RNA-seq cohort (ASD vs. control; n = 6 each) and a replication cohort (ASD vs. control; n = 19 each) and conducted RNA-seq to explore changes in global gene expression. We then subjected the significantly up- and downregulated genes to gene ontology (GO) and core analyses. Weighted gene correlation network analysis (WGCNA) was performed with all 11,617 genes detected in RNA-seq to identify the ASD-specific gene network.

Results

In total, 117 significantly up- and 83 significantly downregulated genes were detected in the ASD compared with the control group, respectively (p < 0.05 and q < 0.05). GO analysis revealed that the aberrant innate and adaptive immunity were more obvious in the 117 upregulated than in the 83 downregulated genes. WGCNA with core analysis revealed that one module including many immune-related genes was associated with the natural killer cell signaling pathway. In the results for the replication cohort, significant changes with same trend found in RNA-seq data were confirmed for MAFB (p = 0.046), RPSAP58 (p = 0.030), and G2MK (p = 0.004).

Limitations

The sample size was relatively small in both the RNA-seq and replication cohorts. This study examined the mRNA expression level, so the interaction between mRNA and protein remains unclear. The expression changes between children and adults with ASD were not compared because only adults with ASD were targeted.

Conclusions

The dysregulated gene expressions confirmed in the blood of adults with ASD were relevant to the dysfunction of innate and adaptive immunity. These findings may aid in understanding the pathogenesis of ASD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12974-021-02154-7.

Improving the measurement of alexithymia in autistic adults: a psychometric investigation and refinement of the twenty-item Toronto Alexithymia Scale

BACKGROUND

Alexithymia, a personality trait characterized by difficulties interpreting one's own emotional states, is commonly elevated in autistic adults, and a growing body of literature suggests that this trait underlies a number of cognitive and emotional differences previously attributed to autism, such as difficulties in facial emotion recognition and reduced empathy. Although questionnaires such as the twenty-item Toronto Alexithymia Scale (TAS-20) are frequently used to measure alexithymia in the autistic population, few studies have attempted to determine the psychometric properties of these questionnaires in autistic adults, including whether differential item functioning (I-DIF) exists between autistic and general population adults.

METHODS

We conducted an in-depth psychometric analysis of the TAS-20 in a large sample of 743 verbal autistic adults recruited from the Simons Foundation SPARK participant pool and 721 general population controls enrolled in a large international psychological study (the Human Penguin Project). The factor structure of the TAS-20 was examined using confirmatory factor analysis, and item response theory was used to further refine the scale based on local model misfit and I-DIF between the groups. Correlations between alexithymia and other clinical outcomes such as autistic traits, anxiety, and quality-of-life were used to assess the nomological validity of the revised alexithymia scale in the SPARK sample.

RESULTS

The TAS-20 did not exhibit adequate global model fit in either the autistic or general population samples. Empirically driven item reduction was undertaken, resulting in an eight-item unidimensional scale (TAS-8) with sound psychometric properties and practically ignorable I-DIF between diagnostic groups. Correlational analyses indicated that TAS-8 scores meaningfully predict autistic trait levels, anxiety and depression symptoms, and quality of life, even after controlling for trait neuroticism.

LIMITATIONS

Limitations of the current study include a sample of autistic adults that was overwhelmingly female, later-diagnosed, and well-educated; clinical and control groups drawn from different studies with variable measures; and an inability to test several other important psychometric characteristics of the TAS-8, including sensitivity to change and I-DIF across multiple administrations.

CONCLUSIONS

These results indicate the potential of the TAS-8 as a psychometrically robust tool to measure alexithymia in both autistic and non-autistic adults. A free online score calculator has been created to facilitate the use of norm-referenced TAS-8 latent trait scores in research applications (available at http://asdmeasures.shinyapps.io/TAS8_Score ).

Oxytocin and cortisol concentrations in adults with and without autism spectrum disorder in response to physical exercise

Autism spectrum disorder (ASD) is a neurodevelopmental disorder, whose core symptoms consist of deficits in social interaction and communication as well as restricted and repetitive behavior. Brain oxytocin (OXT) has been associated with various prosocial behaviors, and might, therefore, be involved in the pathogenesis of disorders associated with socio-emotional dysfunctions such as ASD. However, significant associations between central and peripheral OXT levels may only be present in response to physiological or stressful stimuli but were not shown under baseline conditions. In this study, we, therefore, investigated salivary and plasma OXT in response to physical exercise in adults with ASD (n ​= ​33, mean age: 36.8 ​± ​10.7 years) without intellectual impairment (IQ ​> ​70) and neurotypical controls (n ​= ​31, mean age: 31.0 ​± ​11.7 years). To stimulate the OXT system, we used rapid cycling and measured cortisol (CORT) concentrations to monitor the physiological stress response. When controlling for age, neither salivary OXT (p ​= ​.469), plasma OXT (p ​= ​.297) nor CORT (p ​= ​.667) concentrations significantly differed between groups at baseline. In addition, neither OXT nor CORT concentrations significantly differed between groups after physical exercise. Social anxiety traits were negatively correlated with plasma, but not saliva OXT concentrations in neurotypicals at baseline, while empathetic traits were positively correlated with saliva, but not plasma concentrations in autistic patients at baseline. No significant correlations between salivary and plasma OXT concentrations were found at any time point. Future studies including adult participants should investigate the effect of age on CORT and OXT concentrations in response to stress.

Less Illusion of a Just World in People with Formally Diagnosed Autism and Higher Autistic Traits

People differ in how strongly they believe that, in general, one gets what (s)he deserves (i.e., individual differences in the general belief in a just world). In this study (N = 588; n = 60 with a formal autism diagnosis), whether or not autistic people and those with high autistic traits have a relatively low general belief in a just world is examined. The results revealed the expected relationship between autism/higher autistic traits and a lower general belief in a just world. In a subsample (n = 388), personal belief in a just world, external locus of control, and self-deception mediated this relationship. These findings are discussed in terms of autistic strengths (less biased information processing) and problems (lowered well-being).