Psychology in Latin America: A Qualitative Study of Commonalities and Singularities

Psychology in Latin America, its development, and main contributors have not received the attention they deserve among the scientific and professional English-speaking communities. The present study analyzes the contributions to psychology in Latin America made by the recipients of the Interamerican Psychology award in the Spanish or Portuguese category, granted by the Interamerican Society of Psychology. The award, instituted in 1976 and named Rogelio Díaz Guerrero since 2007, recognizes psychologists who have advanced the discipline as a science and profession in the Americas. To date, SIP has granted 26 such awards. This qualitative study identifies commonalities and singularities in the contributions made by the first 26 awardees. The commonalities were organized around three overlapping themes: social responsiveness, intersectionality of psychology and culture, and international engagement. The singularities were systematized into two overlapping themes: development of historically underdeveloped topics, and discipline transformations. Each theme is defined and illustrated accordingly. The commitment to advancing social justice and increasing the relevance of psychology in addressing social issues by the awardees as a whole stands out as an important characteristic of psychology in Latin America.

Atypical Resting State Functional Neural Network in Children With Autism Spectrum Disorder: Graph Theory Approach

Measuring whole brain networks is a promising approach to extract features of autism spectrum disorder (ASD), a brain disorder of widespread regions. Objectives of this study were to evaluate properties of resting-state functional brain networks in children with and without ASD and to evaluate their relation with social impairment severity. Magnetoencephalographic (MEG) data were recorded for 21 children with ASD (7 girls, 60–89 months old) and for 25 typically developing (TD) control children (10 girls, 60–91 months old) in a resting state while gazing at a fixation cross. After signal sources were localized onto the Desikan–Killiany brain atlas, statistical relations between localized activities were found and evaluated in terms of the phase lag index. After brain networks were constructed and after matching with intelligence using a coarsened exact matching algorithm, ASD and TD graph theoretical measures were compared. We measured autism symptoms severity using the Social Responsiveness Scale and investigated its relation with altered small-worldness using linear regression models. Children with ASD were found to have significantly lower small-worldness in the beta band (p = 0.007) than TD children had. Lower small-worldness in the beta band of children with ASD was associated with higher Social Responsiveness Scale total t-scores (p = 0.047). Significant relations were also inferred for the Social Awareness (p = 0.008) and Social Cognition (p = 0.015) sub-scales. Results obtained using graph theory demonstrate a difference between children with and without ASD in MEG-derived resting-state functional brain networks, and the relation of that difference with social impairment. Combining graph theory and MEG might be a promising approach to establish a biological marker for ASD.

Comorbid Symptoms of Internet Addiction Among Adolescents with and Without Autism Spectrum Disorder: A Comparative Study

Over the last decade, research into the characteristics of problematic internet use among individuals with autism spectrum disorder (ASD) has greatly increased. We investigated Internet addiction’s prevalence and compared its related factors, among adolescents with and without ASD. Outpatients (n = 102) aged 12–15 years, completed the Basic Information Questionnaire, Internet Addiction Test, and Quick Inventory of Depressive Symptomatology Self-Report Japanese version. Their parents completed the Social Responsiveness Scale-2 and Attention Deficit Hyperactivity Disorder Rating Scale-IV. Scores of both (ASD and without ASD) groups were analyzed. Prevalence of Internet addiction was 40.0% in ASD group and 23.9% in without ASD group. Statistically related factors of Internet addiction were not found in the ASD group. However, factors of Internet addiction were related to the QIDS and ADHD-RS scores in the without ASD group. In conclusion, factors related to Internet addiction differed for ASD patients and without ASD patients.

A common variant of CNTNAP2 is associated with sub-threshold autistic traits and intellectual disability

Sub-threshold autistic traits are common in the general population. Children with sub-threshold autistic traits have difficulties with social adaptation. Contactin-associated protein-like 2 (CNTNAP2) is associated with the development of Autism spectrum disorder (ASD) and the single-nucleotide polymorphism rs2710102 (G/A) of CNTNAP2 is suggested to contribute to sub-threshold social impairments and intellectual disabilities. We recruited 67 children with Autistic disorder (AD) (49 boys, 18 girls, aged 38–98 months) and 57 typically developing (TD) children (34 boys, 23 girls, aged 53–90 months). We assessed the participants’ intelligence and social reciprocity using the Kaufman Assessment Battery for Children (K-ABC) and the Social Responsiveness Scale (SRS), respectively. Genomic DNA was extracted from the buccal mucosa and genotyped for rs2710102. A chi-square test revealed a significant association between genotype and group [χ2(2) = 6.56, p = 0.038]. When a co-dominant model was assumed, the results from linear regression models demonstrated that TD children with A-carriers (AA + AG) presented higher SRS T-scores [t(55) = 2.11, p = 0.039] and lower simultaneous processing scale scores of K-ABC [t(55) = -2.19, p = 0.032] than those with GG homozygotes. These associations were not significant in children with ASD. TD children with the rs2710102 A-allele may have more sub-threshold autistic traits than those with GG homozygotes, reflected in higher SRS scores and lower simultaneous processing scale scores. These results support the use of genetic evidence to detect sub-threshold autistic traits.

Validating Three Common Self-Report Measures of Social Functioning: Implications for Autism Research

Social functioning difficulties are a core diagnostic feature of autism spectrum condition (ASC) and are commonly assessed in ASC research. Many measures have been created to assess the various dimensions of social functioning; thus, it is important to evaluate how each scale captures these latent constructs in order to integrate results from studies using different measures. The current brief report assessed the convergent validity (at the subscale level) of three commonly used social functioning scales in ASC research: The Autism Quotient, the Multidimensional Social Competence Scale, and the Social Responsiveness Scale. Amongst a sample of nonclinical adults, the scales showed robust convergent validity between theoretically related subscales, indicating sensitivity to variation in social functioning abilities across diagnostic labels.

The subcortical morphology correlates of autistic traits in school-age children: a population-based neuroimaging study

Background There is emerging evidence that the neuroanatomy of autism forms a spectrum which extends into the general population. However, whilst several studies have identified cortical morphology correlates of autistic traits, it is not established whether morphological differences are present in the subcortical structures of the brain. Additionally, it is not clear to what extent previously reported structural associations may be confounded by co-occurring psychopathology. To address these questions, we utilised neuroimaging data from the Adolescent Brain Cognitive Development Study to assess whether a measure of autistic traits was associated with differences in child subcortical morphology, and if any observed differences persisted after adjustment for child internalising and externalising symptoms. Methods Our analyses included data from 7,005 children aged 9-10 years (female: 47.19%) participating in the Adolescent Brain Cognitive Development Study. Autistic traits were assessed using scores from the Social Responsiveness Scale. Volumes of subcortical regions-of-interest were derived from structural magnetic resonance imaging data. Results Overall, we did not find strong evidence for an association of autistic traits with differences in subcortical morphology in this sample of school-aged children. Whilst lower absolute volumes of the nucleus accumbens and putamen were associated with higher scores of autistic traits, these differences did not persist once a global measure of brain size was accounted for. Conclusions These findings from our well-powered study suggest that other metrics of brain morphology, such as cortical morphology or shape-based phenotypes, may be stronger candidates to prioritise when attempting to identify robust neuromarkers of autistic traits.

Children’s autistic traits and peer relationships: do non-verbal IQ and externalizing problems play a role?

Background Children with autism have difficulties in understanding relationships, yet little is known about the levels of autistic traits with regard to peer relationships. This study examined the association between autistic traits and peer relationships. Additionally, we examined whether the expected negative association is more pronounced in children with a lower non-verbal IQ and in those who exhibit more externalizing problems. Method Data were collected in a large prospective birth cohort of the Generation R Study (Rotterdam, the Netherlands) for which nearly 10,000 pregnant mothers were recruited between 2002 and 2006. Follow up data collection is still currently ongoing. Information on peer relationships was collected with PEERS application, an interactive computerized task (M = 7.8 years). Autistic traits were assessed among general primary school children by using the Social Responsiveness Scale (M = 6.1 years). Information was available for 1580 children. Result Higher levels of autistic traits predicted lower peer acceptance and higher peer rejection. The interaction of autistic traits with externalizing problems (but not with non-verbal IQ or sex) was significant: only among children with low externalizing problems, a higher level of autistic traits predicted less peer acceptance and more peer rejection. Among children exhibiting high externalizing problems, a poor peer acceptance and high level of rejection is seen independently of the level of autistic traits. Conclusion We conclude that autistic traits—including traits that do not classify as severe enough for a clinical diagnosis—as well as externalizing problems negatively impact young children’s peer relationships. This suggests that children with these traits may benefit from careful monitoring and interventions focused at improving peer relationships.

Social Distance in Interactions between Children with Autism and Robots

The use of non-industrial robots, called service robots, is increasing in the welfare fields to meet the demand for robot therapy among individuals with autism. The more simple communication structures and repetitive behaviors of robots, compared to humans, make it easier for children with autism to interpret communication and respond appropriately. Interacting with a robot allows for social distance to be designed and maintained depending on a person’s social interaction needs. To simulate natural social interactions, robots need to perform social distance in some way. In the context of interacting with autistic children, understanding their social response levels is crucial for the robot to implement decisions regarding the distance kept during the interaction. In this study, an experiment was conducted to examine the accuracy of a detection program and explore the correlations between the social responsiveness of children and social distance, wherein 15 autistic children interacted with a robot on a one-to-one basis for about 20 min. The results revealed that both programs implemented in the robot-assisted autism therapy were effective in detecting social distance in a natural HRI situation.