scholarly journals Autistic Traits Are Associated With the Functional Connectivity of Between- but Not Within-attention Systems in the General Population

2020 ◽  
Author(s):  
Sayaka Yoshimura ◽  
Kei Kobayashi ◽  
Tsukasa Ueno ◽  
Takashi Miyagi ◽  
Naoya Oishi ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
General Population ◽  
Executive Control ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Functional Magnetic Resonance ◽  
Fmri Study ◽  
Attention Systems ◽  
High Level

Abstract Background: Previous studies have demonstrated that individuals with autism spectrum disorder (ASD) exhibit dysfunction in the three attention systems (i.e., Alerting, Orienting, and Executive control) as well as atypical relationships among these systems. Additionally, other studies have reported that individuals with subclinical but high levels of autistic traits show similar attentional tendencies as those observed in ASD. Based on these findings, it was hypothesized that autistic traits would affect the functions and relationships of the three attention systems in a general population. Resting-state functional magnetic resonance imaging (fMRI) was performed in 119 healthy adults to investigate relationships between autistic traits and within- and between-system functional connectivity (FC) among the three attention systems. Twenty-six regions of interest that were defined as components of the three attention systems by a previous task-based fMRI study were examined in terms of within-and between-system FC. Autistic traits were assessed using the Autism-Spectrum Quotient.Result: Correlational analyses revealed significant correlations between autistic traits and between-system FC but not within-system FC. Conclusions: Together with findings of previous studies, these results suggest that high level of autistic traits, even if it is subclinical, affect relationships among the three systems and could possibly induce changes in the efficiency of attention.

scholarly journals Autistic traits are associated with the functional connectivity of between—but not within—attention systems in the general population

2020 ◽  
Author(s):  
Sayaka Yoshimura ◽  
Kei Kobayashi ◽  
Tsukasa Ueno ◽  
Takashi Miyagi ◽  
Naoya Oishi ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
General Population ◽  
Executive Control ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Functional Magnetic Resonance ◽  
Fmri Study ◽  
Trait Level ◽  
Attention Systems

Abstract Background: Previous studies have demonstrated that individuals with autism spectrum disorder (ASD) exhibit dysfunction in the three attention systems (i.e., alerting, orienting, and executive control) as well as atypical relationships among these systems. Additionally, other studies have reported that individuals with subclinical but high levels of autistic traits show similar attentional tendencies to those observed in ASD. Based on these findings, it was hypothesized that autistic traits would affect the functions and relationships of the three attention systems in a general population. Resting-state functional magnetic resonance imaging (fMRI) was performed in 119 healthy adults to investigate relationships between autistic traits and within- and between-system functional connectivity (FC) among the three attention systems. Twenty-six regions of interest that were defined as components of the three attention systems by a previous task-based fMRI study were examined in terms of within- and between-system FC. We assessed autistic traits using the Autism-Spectrum Quotient.Results: Correlational analyses revealed that autistic traits were significantly correlated with between-system FC, but not with within-system FC. Conclusions: Our results imply that a high autistic trait level, even when subclinical, is associated with the way the three attention systems interact.

scholarly journals Autistic traits are associated with the functional connectivity of between—but not within—attention systems in the general population

2020 ◽  
Author(s):  
Sayaka Yoshimura ◽  
Kei Kobayashi ◽  
Tsukasa Ueno ◽  
Takashi Miyagi ◽  
Naoya Oishi ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
General Population ◽  
Executive Control ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Functional Magnetic Resonance ◽  
Fmri Study ◽  
Trait Level ◽  
Attention Systems

Abstract Background: Previous studies have demonstrated that individuals with autism spectrum disorder (ASD) exhibit dysfunction in the three attention systems (i.e., alerting, orienting, and executive control) as well as atypical relationships among these systems. Additionally, other studies have reported that individuals with subclinical but high levels of autistic traits show similar attentional tendencies to those observed in ASD. Based on these findings, it was hypothesized that autistic traits would affect the functions and relationships of the three attention systems in a general population. Resting-state functional magnetic resonance imaging (fMRI) was performed in 119 healthy adults to investigate relationships between autistic traits and within- and between-system functional connectivity (FC) among the three attention systems. Twenty-six regions of interest that were defined as components of the three attention systems by a previous task-based fMRI study were examined in terms of within- and between-system FC. We assessed autistic traits using the Autism-Spectrum Quotient.Results: Correlational analyses revealed that autistic traits were significantly correlated with between-system FC, but not with within-system FC.Conclusions: Our results imply that a high autistic trait level, even when subclinical, is associated with the way the three attention systems interact.

scholarly journals Autistic traits are associated with the functional connectivity of between—but not within—attention systems in the general population

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Sayaka Yoshimura ◽  
Kei Kobayashi ◽  
Tsukasa Ueno ◽  
Takashi Miyagi ◽  
Naoya Oishi ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
General Population ◽  
Executive Control ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Functional Magnetic Resonance ◽  
Fmri Study ◽  
Trait Level ◽  
Attention Systems

Abstract Background Previous studies have demonstrated that individuals with autism spectrum disorder (ASD) exhibit dysfunction in the three attention systems (i.e., alerting, orienting, and executive control) as well as atypical relationships among these systems. Additionally, other studies have reported that individuals with subclinical but high levels of autistic traits show similar attentional tendencies to those observed in ASD. Based on these findings, it was hypothesized that autistic traits would affect the functions and relationships of the three attention systems in a general population. Resting-state functional magnetic resonance imaging (fMRI) was performed in 119 healthy adults to investigate relationships between autistic traits and within- and between-system functional connectivity (FC) among the three attention systems. Twenty-six regions of interest that were defined as components of the three attention systems by a previous task-based fMRI study were examined in terms of within- and between-system FC. We assessed autistic traits using the Autism-Spectrum Quotient. Results Correlational analyses revealed that autistic traits were significantly correlated with between-system FC, but not with within-system FC. Conclusions Our results imply that a high autistic trait level, even when subclinical, is associated with the way the three attention systems interact.

scholarly journals The role of the MTG in negative emotional processing in young adults with autistic traits: a fMRI task study

2019 ◽  
Author(s):  
Yaxu Yu ◽  
Xiaoqin Wang ◽  
Jamie Ward ◽  
Qiu Jiang
Keyword(s):  
Functional Connectivity ◽  
Emotional Processing ◽  
Negative Emotion ◽  
Neurodevelopmental Disorder ◽  
Emotion Processing ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
The Right ◽  
High Level

Abstract Individuals with autistic traits are those within the normal population who demonstrate social, communication, and cognitive impairments but who do not meet the clinical threshold for autism spectrum disorder (ASD). ASD is a pervasive neurodevelopmental disorder associated with deficits in high-level cognitive functions such as negative emotion processing and social cognitive processing, and people with autistic traits also have these impairments. Few previous studies have explored negative emotion processing in people with autistic traits using task-based functional magnetic resonance imaging (fMRI). In this study, we focused on the behaviors of a large sample (N=104) of Chinese individuals with different levels of autistic traits, who we tested using a popular questionnaire called the autism spectrum quotient (AQ). We then applied task fMRI to determine negative emotion processing and social cognition associated with differences in brain activation and functional connectivity. The results mainly showed significantly positive activation in the right middle temporal gyrus (MTG), and the right hippocampus gyrus (HG) in multiple regression analysis. More importantly, mediation analysis showed that the right MTG suppresses the relationship between AQ (total) score and negative emotional processing, showing that a higher autistic trait score in individuals leads to a smaller difference between the rating of negative images and the neutral images. Furthermore, generalized psychophysiological interaction analyses (gPPI) analysis also suggested that the right MTG shows significant functional connectivity (FC) with the left parahippocampal gyrus (PHG), suggesting that individuals with autistic traits have high level of spontaneous negative emotion. According to these findings, we assumed that the MTG might have a specific effect on processing negative emotion in individuals with autistic traits related to weaker to social emotion ability. The emotion perception mechanisms in the MTG region may be affected by atypical negative emotion processing in other brain regions such as HG and PHG, during a negative emotion processing task with socially emotion-relevant information in individuals with autistic traits.

scholarly journals The Comprehensive Autistic Trait Inventory (CATI): development and validation of a new measure of autistic traits in the general population

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael C. W. English ◽  
Gilles E. Gignac ◽  
Troy A. W. Visser ◽  
Andrew J. O. Whitehouse ◽  
James T. Enns ◽  
...  
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Measurement Invariance ◽  
High Reliability ◽  
Predictive Ability ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Sensory Sensitivity ◽  
Wide Range

Abstract Background Traits and characteristics qualitatively similar to those seen in diagnosed autism spectrum disorder can be found to varying degrees in the general population. To measure these traits and facilitate their use in autism research, several questionnaires have been developed that provide broad measures of autistic traits [e.g. Autism-Spectrum Quotient (AQ), Broad Autism Phenotype Questionnaire (BAPQ)]. However, since their development, our understanding of autism has grown considerably, and it is arguable that existing measures do not provide an ideal representation of the trait dimensions currently associated with autism. Our aim was to create a new measure of autistic traits that reflects our current understanding of autism, the Comprehensive Autism Trait Inventory (CATI). Methods In Study 1, 107 pilot items were administered to 1119 individuals in the general population and exploratory factor analysis of responses used to create the 42-item CATI comprising six subscales: Social Interactions, Communication, Social Camouflage, Repetitive Behaviours, Cognitive Rigidity, and Sensory Sensitivity. In Study 2, the CATI was administered to 1068 new individuals and confirmatory factor analysis used to verify the factor structure. The AQ and BAPQ were administered to validate the CATI, and additional autistic participants were recruited to compare the predictive ability of the measures. In Study 3, to validate the CATI subscales, the CATI was administered to 195 new individuals along with existing valid measures qualitatively similar to each CATI subscale. Results The CATI showed convergent validity at both the total-scale (r ≥ .79) and subscale level (r ≥ .68). The CATI also showed superior internal reliability for total-scale scores (α = .95) relative to the AQ (α = .90) and BAPQ (α = .94), consistently high reliability for subscales (α > .81), greater predictive ability for classifying autism (Youden’s Index = .62 vs .56–.59), and demonstrated measurement invariance for sex. Limitations Analyses of predictive ability for classifying autism depended upon self-reported diagnosis or identification of autism. The autistic sample was not large enough to test measurement invariance of autism diagnosis. Conclusions The CATI is a reliable and economical new measure that provides observations across a wide range of trait dimensions associated with autism, potentially precluding the need to administer multiple measures, and to our knowledge, the CATI is also the first broad measure of autistic traits to have dedicated subscales for social camouflage and sensory sensitivity.

Autistic traits in Indian general population and patient group samples: distribution, factor structure, reliability and validity of the Autism-Spectrum Quotient

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asmita Karmakar ◽  
Manisha Bhattacharya ◽  
Susmita Chatterjee ◽  
Atanu Kumar Dogra
Keyword(s):  
General Population ◽  
Factor Structure ◽  
Patient Group ◽  
Autistic Traits ◽  
Criterion Validity ◽  
Autism Spectrum ◽  
Group Differences ◽  
Autism Spectrum Quotient ◽  
Content Type ◽  
Compulsive Disorder

Purpose The Autism-Spectrum Quotient (AQ) is a widely used tool to quantify autistic traits in the general population. This study aims to report the distribution, group differences and factor structure of autistic traits in Indian general population. The work also assesses the criterion validity of AQ across three patient group samples – autism spectrum disorder (ASD), obsessive-compulsive disorder and social anxiety disorder. Design/methodology/approach In this study, psychometric properties of the adapted AQ were assessed among 450 neurotypical university students matched for age. Confirmatory factor analysis was done to see if the adapted AQ fits the original factor structure. Test–retest, internal consistency reliability and criterion validity were found out. Group differences (gender and field of study) in AQ were also assessed. Findings Autistic traits were found to be continuously distributed in the population, and patterns of group differences were consistent with previous studies. The adapted AQ had five factors resembling the original factor structure with a good fit, and 38 items instead of the original 50 items. Acceptable reliability coefficients were demonstrated along with criterion validity across clinical groups. Originality/value This work is the first to present the pattern of distribution and factor structure of autistic traits among neurotypical adults from Eastern India, a culturally different population, as well as a reliable and valid tool to assess autistic traits in Bengali, a language with 300 million speakers. The findings add to the growing literature on AQ measurement and the concept of autism as a quantitative trait, examined outside of the western samples.

scholarly journals Unmasking Anxiety in Autism: Explicit and Implicit Threat Dissociate Amygdala-centered Functional Connectivity

2020 ◽  
Author(s):  
Yu-Chun Chen ◽  
Chenyi Chen ◽  
Chia-Chien Liu ◽  
Róger Marcelo Martínez ◽  
Yang-Tang Fan ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Relevant Information ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Neural Pathways ◽  
Backward Masking ◽  
Threat Processing ◽  
Fmri Study ◽  
Socially Relevant ◽  
Amygdala Reactivity

Abstract Background Anxiety is the most prevalent comorbidity in individuals diagnosed with autism spectrum disorder (ASD). Amygdala reactivity to explicit and implicit threat processing offers a platform to assess anxiety. The neural mechanisms underlying the link between anxiety and ASD remains elusive.Methods In this fMRI study, we recruited young adults with ASD (N = 31) and matched them with controls, then proceeded to assess their autistic and anxiety traits by the use of the Autism-Spectrum Quotient (AQ) and the State-Trait Anxiety Inventory (STAI-S), respectively; and scanned their amygdala reactivity in response to explicit and implicit (backward masking) perception of threatening faces.Results As compared to controls, the amygdala reactivity in ASD subjects was significantly reduced to explicit threat, but comparable to implicit threat. The correlations of the amygdala reactivity with the AQ and STAI-S were dissociated depending on threat processing (explicit or implicit). Furthermore, the amygdala in ASD relative to controls had a more negative functional connectivity with the superior parietal cortex, fusiform gyrus, and hippocampus for explicit threat, whereas a more positive connectivity with the medial prefrontal cortex, temporal pole, and hippocampus for implicit threat.Conclusion In ASD, the transmission of socially relevant information along dorsal and ventral neural pathways centered on the amygdala is dissociated depending on explicit and implicit threat processing. This dissociation, ascribed to their failure to compromise pre-existing hyperarousal, might contribute to anxiety in ASD.

scholarly journals Co-Occurrence of ASD and ADHD Traits in an Adult Population

2017 ◽  
Vol 23 (12) ◽  
pp. 1407-1415 ◽  
Author(s):  
Maria Panagiotidi ◽  
Paul G. Overton ◽  
Tom Stafford
Keyword(s):  
General Population ◽  
Adult Adhd ◽  
Rating Scale ◽  
Adult Population ◽  
Autistic Traits ◽  
Population Based ◽  
Autism Spectrum ◽  
Self Report ◽  
Autism Spectrum Quotient ◽  
Common Etiology

Objective: ADHD and autism spectrum disorder (ASD) can be viewed as the extreme end of traits found in the general population. Clinical and genetic studies suggest that ADHD and ASD often co-occur and share genetic susceptibility. The aim of this study was to examine co-occurrence of ADHD and ASD traits in the general population. Method: In total, 334 participants were recruited from a population-based sample. Four questionnaires assessing current and retrospective ADHD and ASD traits were administered online: the Adult ADHD Self-Report Scale (ASRS) Symptom Checklist, the Wender Utah Rating Scale (WURS-25), the Broad Autism Phenotype Questionnaire (BAPQ), and the Autism Spectrum Quotient (AQ). Results: A significant correlation was found between ADHD and autistic traits. In particular, higher inattention and overall ADHD scores were associated with self-reported deficits in communication and social skills. Conclusion: Our findings are similar to results from studies on clinical populations, suggesting that ADHD and ASD might share common etiology.

scholarly journals The Relationship Between Self-Reported Sensory Experiences and Autistic Traits in the General Population: A Mixed Methods Analysis

2016 ◽  
Vol 33 (3) ◽  
pp. 182-192 ◽  
Author(s):  
Ashley E. Robertson ◽  
David R. Simmons
Keyword(s):  
Mixed Methods ◽  
General Population ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Sensory Reactivity ◽  
Sensory Experiences ◽  
Open Questions ◽  
Inductive Research ◽  
Trait Level

There have been few examples of inductive research in sensory reactivity, particularly in relation to autistic traits among the general population. This study used a mixed methods approach to explore the nature of sensory experiences among people with different levels of autistic traits. Participants completed the Glasgow Sensory Questionnaire and the Autism Spectrum Quotient. Both quantitative and qualitative analyses were performed on the data. Responses to the open questions were analyzed as part of this study, and the closed questionnaire data have been reported elsewhere. Data were coded and responses quantitatively compared by group. In addition, data were qualitatively analyzed using a general inductive approach, which resulted in two themes: “problematic sensory experiences” and “calming sensory experiences.” Results show that coping mechanisms and certain aspects of the sensory experience vary according to autistic trait level, and provide insight into the nature of sensory reactivity across the general population.

scholarly journals Integration of gaze direction and facial expression in individuals with a high level of autistic traits

2021 ◽  
Author(s):  
Andrea Marotta ◽  
Belén Aranda-Martín ◽  
Marco De Cono ◽  
María Ángeles Ballesteros Duperón ◽  
Maria Casagrande ◽  
...  
Keyword(s):  
Facial Expression ◽  
Eye Gaze ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Gaze Direction ◽  
Emotional Expressions ◽  
Autism Spectrum Quotient ◽  
The Right ◽  
High Level ◽  
Communicative Signals

We investigated whether individuals with high levels of autistic traits integrate relevant communicative signals, such as facial expression, when decoding eye-gaze direction. Students with high vs. low scores on the Autism Spectrum Quotient (AQ) performed a task in which they responded to the eyes’ direction of faces, presented on the left or the right side of the screen, portraying different emotional expressions. In both groups, the identification of gaze direction was faster when the eyes were directed towards the center of the scene. However, only in the low AQ group, this effect was larger for happy faces than for neutral faces or faces showing other emotional expressions. High AQ participants were not affected by emotional expressions. These results suggested that individuals with more autistic traits may do not integrate multiple communicative signals based on their emotional value.

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