scholarly journals “I hear with my little ear something…": Enhanced performance of absolute pitch musicians in an interleaved melody recognition test

2018 ◽  
Author(s):  
Teresa Wenhart ◽  
Ye-Young Hwang ◽  
Eckart Altenmüller
Keyword(s):  
Recognition Test ◽  
Recognition Task ◽  
Autistic Traits ◽  
Absolute Pitch ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Sensitivity Index ◽  
Professional Musicians ◽  
Melody Recognition ◽  
Autistic People

AbstractAutistic people exhibit enhanced abilities to find and extract visual or auditory figures out of a meaningful whole (disembedding). Studies have shown heightened autistic traits in professional musicians with absolute pitch (AP). This study investigates whether such musicians show an advantage in an interleaved melody recognition task (IMRT).A total of N=59 professional musicians (AP=27) participated in the study. In each trial a probe melody was followed by an interleaved sequence. Subjects had to indicate as to whether the probe melody was present in the interleaved sequence. Sensitivity index d’ and response bias c were calculated according to signal detection theory. Additionally, a pitch adjustment test measuring fine-graded differences in absolute pitch proficiency, the Autism-Spectrum-Quotient and a visual embedded figures test were conducted.AP performance was enhanced overall compared to RP. Absolute pitch proficiency, visual disembedding ability and musicality predicted approximately 39.2% of variance in the interleaved melody recognition test. No correlations were found between IMRT and autistic traits.The stable pitch-label associations of AP might serve as additional sensory cues during pre-attentive processing in recognizing interleaved melodies. Results are in line with a detailed-oriented cognitive style and enhanced perceptional functioning of AP musicians similar to that observed in autism.

Emotional response bias, autistic traits and paranormal beliefs in patients with OCD

2021 ◽  
pp. 1-13
Author(s):  
Ayesha Ashraf ◽  
Rabia Iftikhar
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Response Bias ◽  
Emotional Response ◽  
Recognition Task ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Paranormal Beliefs

Objective: To find the relationship involving autistic traits, paranormal beliefs and emotional response bias in obsessive compulsive disorder patients. Method: The cross-sectional quasi-experimental study was conducted from November 2017 to November 2018 at the Government College University, Lahore, Pakistan, and comprised patients with obsessive compulsive disorder and healthy controls from the general population aged 20-40 years. Data was collected using the self-reporting Autism Spectrum Quotient, the Revised Paranormal Belief Scale, the Emotional Recognition Task and the Obsessive Compulsive Disorder symptom checklist. Data was analysed using SPSS 20. Results: Of the 140 participants, there were 70(50%) patients and as many controls. Overall, there were 72(52%) males and 68(48%) females. High level of autistic traits (p<0.001) and paranormal beliefs (p<0.001) had a significant impact on obsessive compulsive disorder. Impairments in recognition of emotions were related to the presence of high autistic traits and obsessive compulsive symptoms in the patients group (p<0.05). Emotion of disgust (p<0.001) was significantly impaired in the patients, while the differences were not significant in terms of emotions of happiness and surprise (p>0.05). Conclusion: Autistic traits, paranormal beliefs and emotional response bias were found to have a significant relationship in obsessive compulsive disorder patients.   Continuous....

scholarly journals Testing the Empathizing–Systemizing theory of sex differences and the Extreme Male Brain theory of autism in half a million people

2018 ◽  
Vol 115 (48) ◽  
pp. 12152-12157 ◽  
Author(s):  
David M. Greenberg ◽  
Varun Warrier ◽  
Carrie Allison ◽  
Simon Baron-Cohen
Keyword(s):  
Sex Differences ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Small Sample ◽  
Autism Spectrum Quotient ◽  
Short Forms ◽  
Extreme Type ◽  
Autistic People ◽  
Extreme Male Brain ◽  
Small Sample Sizes

The Empathizing–Systemizing (E-S) theory of typical sex differences suggests that individuals may be classified based on empathy and systemizing. An extension of the E-S theory, the Extreme Male Brain (EMB) theory suggests that autistic people on average have a shift towards a more masculinized brain along the E-S dimensions. Both theories have been investigated in small sample sizes, limiting their generalizability. Here we leverage two large datasets (discovery n = 671,606, including 36,648 autistic individuals primarily; and validation n = 14,354, including 226 autistic individuals) to investigate 10 predictions of the E-S and the EMB theories. In the discovery dataset, typical females on average showed higher scores on short forms of the Empathy Quotient (EQ) and Sensory Perception Quotient (SPQ), and typical males on average showed higher scores on short forms of the Autism Spectrum Quotient (AQ) and Systemizing Quotient (SQ). Typical sex differences in these measures were attenuated in autistic individuals. Analysis of “brain types” revealed that typical females on average were more likely to be Type E (EQ > SQ) or Extreme Type E and that typical males on average were more likely to be Type S (SQ > EQ) or Extreme Type S. In both datasets, autistic individuals, regardless of their reported sex, on average were “masculinized.” Finally, we demonstrate that D-scores (difference between EQ and SQ) account for 19 times more of the variance in autistic traits (43%) than do other demographic variables including sex. Our results provide robust evidence in support of both the E-S and EMB theories.

scholarly journals Dissociable Effects of Social and Non-Social Autistic Traits on Figure Disembedding and Mental Rotation in Women and Men

2021 ◽  
Author(s):  
Massimiliano Conson ◽  
Vincenzo Paolo Senese ◽  
Isa Zappullo ◽  
Chiara Baiano ◽  
Varun Warrier ◽  
...  
Keyword(s):  
Sex Differences ◽  
Mental Rotation ◽  
Factor Model ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Social Traits ◽  
Autistic People ◽  
Comparable Performance ◽  
Visuospatial Tasks

Abstract Recent data revealed dissociations between social and non-social domains both in autism and neurotypical population. In the present study, we investigated whether specific visuospatial abilities, as mental rotation and figure disembedding, are differently related to social and non-social autistic traits, also considering sex differences in dealing with visuospatial tasks. University students (N = 426) completed the Autism Spectrum Quotient (AQ), mental rotation of two-dimensional figures and figure disembedding tasks. A two-factor model of AQ was used to differentiate social and non-social autistic traits. Mental rotation was affected by a significant interaction between sex, social and non-social traits. This implies that, when non-social traits were above the mean (+ 1 SD), no sex differences in mental rotation were found, whereas, below this value, sex differences depended on the social traits, with men outperforming women at middle-to-high social traits, and with a comparable performance, or even with women outperforming men, at lower social traits. Instead, only a small positive correlation between figure disembedding and social traits was observed in the overall sample. These results are interpreted using the hyper-systemizing framework of autism and contribute to the debate on individual differences in the cognitive style of autistic people and neurotypical people with autistic traits.

scholarly journals Autistic Traits, STEM, and Medicine: Autism Spectrum Quotient Scores Predict Medical Students’ Career Specialty Preferences

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110503
Author(s):  
Emma Turner ◽  
Emma Aitken ◽  
Gareth Richards
Keyword(s):  
Medical Students ◽  
Career Paths ◽  
Online Survey ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Self Report ◽  
Autism Spectrum Quotient ◽  
Autistic People ◽  
Stem Students ◽  
And Mathematics

There is a higher than chance representation of autistic people and people with elevated autistic traits in Science, Technology, Engineering and Mathematics (STEM) industries. Medical students, despite studying a STEM subject, have lower autistic traits than other STEM students. Medicine is heterogenous, covering technique-oriented specialties (e.g., surgery) with little patient interaction, person-oriented specialties (e.g., pediatrics), and general practice. We present an online survey in which 502 UK university students (medicine, n = 344; STEM, n = 94; non-STEM, n = 64) reported their study area and career aspirations and completed the Autism Spectrum Quotient (AQ), a quantitative self-report measure of autistic traits. Our main findings were that medical students had significantly lower AQ scores than other STEM ( p < .001, d = 0.614) and non-STEM students ( p < .001, d = 0.874), and that medical students aiming to pursue technique-focused career paths had significantly higher AQ scores than medical students aiming to pursue person-oriented career paths ( p = .009, d = 0.318). Each of these effects remained statistically significant after adjusting for alpha inflation. The findings of this study corroborate those of previous research reporting a link between autism and STEM; they also provide evidence that autistic traits are a predictor of medical students’ career ambitions, with those students with high AQ scores being more likely to pursue technique-focused (as opposed to person-focused) roles. This may be informative for developing and optimizing the strengths of individuals with differing levels of autistic traits.

scholarly journals Dimensions of Self-Reported Driving Difficulty in Autistic and Non-Autistic Adults and their Relationship with Autistic Traits

2022 ◽  
Author(s):  
Elizabeth Sheppard ◽  
Editha van Loon ◽  
Danielle Ropar
Keyword(s):  
Social Interaction ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
General Factor ◽  
Autism Spectrum Quotient ◽  
Attention Switching ◽  
Principle Components Analysis ◽  
Autistic People ◽  
Interaction Factor ◽  
Components Analysis

AbstractA survey asked autistic and non-autistic people about the driving difficulties they experience and their autistic traits. Principle components analysis was used to identify how reported difficulties clustered together in each group, and regression was used to determine which subscales of the Autism Spectrum Quotient predict these factors. For autistic drivers three factors of driving difficulty emerged: a Driving Executive factor, predicted by Attention Switching; a Driving Understanding factor, predicted by Communication; and a Driving Social Interaction factor, predicted by Attention Switching. For non-autistic drivers only one Driving General factor emerged, predicted by Communication. This suggests autistic people may experience at least three distinct domains of difficulty when driving which may relate to their particular profile of autistic features.

scholarly journals Developmental trajectories of autistic social traits in the general population

2021 ◽  
pp. 1-9
Author(s):  
Richard Pender ◽  
Pasco Fearon ◽  
Beate St Pourcain ◽  
Jon Heron ◽  
Will Mandy
Keyword(s):  
General Population ◽  
Full Range ◽  
Population Sample ◽  
Autistic Traits ◽  
Communication Disorders ◽  
Autism Spectrum ◽  
Growth Mixture Modelling ◽  
Autistic People ◽  
Social Difficulties ◽  
Autism Trait

Abstract Background Autistic people show diverse trajectories of autistic traits over time, a phenomenon labelled ‘chronogeneity’. For example, some show a decrease in symptoms, whilst others experience an intensification of difficulties. Autism spectrum disorder (ASD) is a dimensional condition, representing one end of a trait continuum that extends throughout the population. To date, no studies have investigated chronogeneity across the full range of autistic traits. We investigated the nature and clinical significance of autism trait chronogeneity in a large, general population sample. Methods Autistic social/communication traits (ASTs) were measured in the Avon Longitudinal Study of Parents and Children using the Social and Communication Disorders Checklist (SCDC) at ages 7, 10, 13 and 16 (N = 9744). We used Growth Mixture Modelling (GMM) to identify groups defined by their AST trajectories. Measures of ASD diagnosis, sex, IQ and mental health (internalising and externalising) were used to investigate external validity of the derived trajectory groups. Results The selected GMM model identified four AST trajectory groups: (i) Persistent High (2.3% of sample), (ii) Persistent Low (83.5%), (iii) Increasing (7.3%) and (iv) Decreasing (6.9%) trajectories. The Increasing group, in which females were a slight majority (53.2%), showed dramatic increases in SCDC scores during adolescence, accompanied by escalating internalising and externalising difficulties. Two-thirds (63.6%) of the Decreasing group were male. Conclusions Clinicians should note that for some young people autism-trait-like social difficulties first emerge during adolescence accompanied by problems with mood, anxiety, conduct and attention. A converse, majority-male group shows decreasing social difficulties during adolescence.

scholarly journals Diachronic Tendency and Thinking Style Across the Broader Autism Spectrum: Sources of Individual Differences?

2021 ◽  
Author(s):  
Stian Orm ◽  
Ella Holt Holmberg ◽  
Paul L. Harris ◽  
Maria Nunez ◽  
Francisco Pons
Keyword(s):  
Autistic Traits ◽  
Broader Autism Phenotype ◽  
Autism Spectrum ◽  
Inner Speech ◽  
Autism Spectrum Quotient ◽  
Present Moment ◽  
Thinking Style ◽  
Mental Images ◽  
High School Degree ◽  
Future Events

Abstract Objectives First, to see whether previous studies showing a limited capacity to spontaneously evoke the past and the future of a present moment (diachronic tendency) and a prevalence of mental images over inner speech (thinking style) in individuals with autism spectrum disorder could be replicated in individuals belonging to the broader autism phenotype. Second, to test the hypothesis that individuals thinking with mental images have a more limited diachronic tendency compared with individuals thinking with inner speech. Methods Adults (N = 309, Mage = 31.5 years, 76% women) with at least a high school degree were assessed with the Autism Spectrum Quotient, a test of diachronic tendency comprising four pictures varying in social interactivity and dynamicity, and a thinking style scale comprising three items representing three different everyday situations. Results The results showed that adults with many autistic traits have a limited diachronic tendency but only when the situation is socially interactive and dynamic, think more in mental images than individuals with no or few autistic traits but nevertheless still think more with inner speech than with mental images, and the more the participants reported thinking in inner speech, the more they evoked past and future events when describing a socially interactive and dynamic situation. Conclusions More autistic traits are associated with a limited diachronic tendency in socially interactive and dynamic situations and more thinking in mental images, and thinking style could be one of the determinants of diachronic tendency in socially interactive and dynamic situations.

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.

scholarly journals Longitudinal association between autistic traits and affinity for hikikomori in Japanese university students

2021 ◽  
Author(s):  
Yuuki Shimono ◽  
Akira Hasegawa ◽  
Kohei Tsuchihara ◽  
Keisuke Tanaka ◽  
Yuko Matsuda ◽  
...  
Keyword(s):  
Social Interaction ◽  
University Students ◽  
Structural Equation ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Equation Modeling ◽  
Autism Spectrum Quotient ◽  
Japanese University ◽  
Longitudinal Association ◽  
Academic Failures

AbstractThe affinity for hikikomori represents the desire to be withdrawn, as well as to entertain an empathetic attitude towards withdrawn individuals. It is composed of two subdimensions, the maladaptive desire for hikikomori, and empathy for others with hikikomori. This longitudinal study examined whether autistic traits predicted the affinity for hikikomori. At the baseline assessment, undergraduate and graduate students in Japan (N = 272) completed the Autism-Spectrum Quotient (AQ), the Affinity for Hikikomori Scale in University Students, and measures assessing academic failures and interpersonal conflicts. They also completed all measures excluding the AQ eight weeks later. Structural equation modeling indicated that difficulties in social interaction aspects of autistic traits were positively associated with academic failures at Time 2 even after controlling for academic failures at Time 1. In addition, difficulties in social interaction were positively related to the desire for hikikomori at Time 2 indirectly via academic failures at Time 2 after controlling for the desire for hikikomori at Time 1. Difficulties in social interaction were also directly associated with the increased desire for hikikomori at Time 2. These findings suggest that autistic traits, and especially difficulties in social interaction, are predictors of the maladaptive aspect of the affinity for hikikomori.

scholarly journals Prevalence of autism spectrum disorder and autistic traits in children with anorexia nervosa and avoidant/restrictive food intake disorder

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Takeshi Inoue ◽  
Ryoko Otani ◽  
Toshiyuki Iguchi ◽  
Ryuta Ishii ◽  
Soh Uchida ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Anorexia Nervosa ◽  
Food Intake ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Eating Attitudes ◽  
Spectrum Disorder ◽  
Autism Spectrum Quotient ◽  
Multicenter Cohort Study ◽  
Feeding And Eating Disorders

Abstract Background Autism spectrum disorder (ASD) and feeding and eating disorders (FEDs) such as anorexia nervosa (AN) are strongly linked as evidenced by frequent comorbidity and overlapping traits. However, eating and social behaviors are shaped by culture, so it is critical to examine these associations in different populations. Moreover, FEDs are heterogeneous, and there has been no examination of autistic traits in avoidant/restrictive food intake disorder (ARFID). Methods Therefore, we investigated the prevalence of ASD and autistic traits among Japanese children with AN (n = 92) or ARFID (n = 32) from a prospective multicenter cohort study using the Autism Spectrum Quotient Children’s version (AQC) and Children’s Eating Attitudes Test (ChEAT26). Results ASD prevalence was high in both AN and ARFID (16.3 and 12.5%, respectively). The AN group exhibited significantly higher scores on all AQC subscales than an age-matched healthy control (HC) group, but there were no significant correlations between AQC scores and ChEAT26 scores. In the AFRID group, AQC scores did not differ from HCs, but significant correlations were found between total AQC and ChEAT26 scores and between several AQC and ChEAT26 subscales. Conclusions Both the AN and ARFID groups had high prevalence rates of ASD. The AN group showed a significantly higher degree of autistic traits than the HC group; however, no difference was found between the ARFID and HC groups. Clinicians need to be aware of these rates when working with children with ED.

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