1. Ganz JB, Mason RA, Goodwyn FD, Boles MB, Heath AK, Davis JL. {{Interaction of Participant Characteristics and Type of AAC With Individuals With ASD: A Meta-Analysis}}. {Am J Intellect Dev Disabil};2014 (Nov);119(6):516-535.
Individuals with autism spectrum disorders (ASD) and complex communication needs often rely on augmentative and alternative communication (AAC) as a means of functional communication. This meta-analysis investigated how individual characteristics moderate effectiveness of three types of aided AAC: the Picture Exchange Communication System (PECS), speech-generating devices (SGDs), and other picture-based AAC. Effectiveness was measured via the Improvement Rate Difference. Results indicated that AAC has small to moderate effects on speech outcomes, and that SGDs appear to be most effective when considering any outcome measure with individuals with ASD without comorbid intellectual/developmental disorders (IDD). PECS appears to be most effective when considering any outcome measure with individuals with ASD and IDD. SGDs and PECS were the most effective type of AAC for preschoolers, when aggregating across outcome measures. No difference was found between systems for elementary-aged and older individuals.
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2. Hauser-Cram P, Woodman AC, Heyman M. {{Early mastery motivation as a predictor of executive function in young adults with developmental disabilities}}. {Am J Intellect Dev Disabil};2014 (Nov);119(6):536-551.
The role of early childhood mastery motivation as a predictor of executive function 20 years later was examined in a sample of 39 individuals who had early diagnosed developmental disabilities. Multilevel modeling was used to analyze predictors of accuracy and response time on a Flanker task measuring executive function. As predicted, participants had relatively poorer performance on trials requiring inhibition and rule switches. Individuals with Down syndrome, in comparison to other participants, demonstrated longer response times. Young adults who had higher levels of persistence on mastery motivation tasks during early childhood displayed higher levels of accuracy and shorter response times on the executive function task. Possible mechanisms by which early mastery motivation relates to later executive function are discussed.
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3. Libero LE, Maximo JO, Deshpande HD, Klinger LG, Klinger MR, Kana RK. {{The role of mirroring and mentalizing networks in mediating action intentions in autism}}. {Mol Autism};2014;5(1):50.
BACKGROUND: The ability to interpret agents’ intent from their actions is a vital skill in successful social interaction. However, individuals with autism spectrum disorders (ASD) have been found to have difficulty in attributing intentions to others. The present study investigated the neural mechanisms of inferring intentions from actions in individuals with ASD. METHODS: Functional magnetic resonance imaging (fMRI) data were acquired from 21 high-functioning young adults with ASD and 22 typically developing (TD) control participants, while making judgments about the means (how an action is performed) and intention (why an action is performed) of a model’s actions. RESULTS: Across both groups of participants, the middle and superior temporal cortex, extending to temporoparietal junction, and posterior cingulate cortex, responded significantly to inferring the intent of an action, while inferior parietal lobule and occipital cortices were active for judgments about the means of an action. Participants with ASD had significantly reduced activation in calcarine sulcus and significantly increased activation in left inferior frontal gyrus, compared to TD peers, while attending to the intentions of actions. Also, ASD participants had weaker functional connectivity between frontal and posterior temporal regions while processing intentions. CONCLUSIONS: These results suggest that processing actions and intentions may not be mutually exclusive, with reliance on mirroring and mentalizing mechanisms mediating action understanding. Overall, inferring information about others’ actions involves activation of the mirror neuron system and theory-of-mind regions, and this activation (and the synchrony between activated brain regions) appears altered in young adults with ASD.
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4. Mealey A, Abbott G, Byrne LK, McGillivray J. {{Overlap between autistic and schizotypal personality traits is not accounted for by anxiety and depression}}. {Psychiatry Res};2014 (Oct 30);219(2):380-385.
Autism spectrum and schizophrenia spectrum disorders are classified separately in the DSM-5, yet research indicates that these two disorders share overlapping features. The aim of the present study was to examine the overlap between autistic and schizotypal personality traits and whether anxiety and depression act as confounding variables in this relationship within a non-clinical population. One hundred and forty-four adults completed the Autism Spectrum Quotient and the Schizotypal Personality Questionnaire and the Depression Anxiety Stress Scales-21. A number of associations were seen between autistic and schizotypal personality traits. However, negative traits were the only schizotypal feature to uniquely predict global autistic traits, thus highlighting the importance of interpersonal qualities in the overlap of autistic and schizotypal characteristics. The inclusion of anxiety and depression did not alter relationships between autistic and schizotypal traits, indicating that anxiety and depression are not confounders of this relationship. These findings have important implications for the conceptualisation of both disorders.
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5. Obafemi-Ajayi T, Miles JH, Takahashi TN, Qi W, Aldridge K, Zhang M, Xin SQ, He Y, Duan Y. {{Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups}}. {J Autism Dev Disord};2014 (Oct 29)
Varied cluster analysis were applied to facial surface measurements from 62 prepubertal boys with essential autism to determine whether facial morphology constitutes viable biomarker for delineation of discrete Autism Spectrum Disorders (ASD) subgroups. Earlier study indicated utility of facial morphology for autism subgrouping (Aldridge et al. in Mol Autism 2(1):15, 2011). Geodesic distances between standardized facial landmarks were measured from three-dimensional stereo-photogrammetric images. Subjects were evaluated for autism-related symptoms, neurologic, cognitive, familial, and phenotypic variants. The most compact cluster is clinically characterized by severe ASD, significant cognitive impairment and language regression. This verifies utility of facially-based ASD subtypes and validates Aldridge et al.’s severe ASD subgroup, notwithstanding different techniques. It suggests that language regression may define a unique ASD subgroup with potential etiologic differences.
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6. Santini E, Klann E. {{Reciprocal signaling between translational control pathways and synaptic proteins in autism spectrum disorders}}. {Sci Signal};2014;7(349):re10.
Autism spectrum disorder (ASD) is a heterogeneous group of heritable neurodevelopmental disorders. Symptoms of ASD, which include deficits in social interaction skills, impaired communication ability, and ritualistic-like repetitive behaviors, appear in early childhood and continue throughout life. Genetic studies have revealed at least two clusters of genes frequently associated with ASD and intellectual disability: those encoding proteins involved in translational control and those encoding proteins involved in synaptic function. We hypothesize that mutations occurring in these two clusters of genes interfere with interconnected downstream signaling pathways in neuronal cells to cause ASD symptomatology. In this review, we discuss the monogenic forms of ASD caused by mutations in genes encoding for proteins that regulate translation and synaptic function. Specifically, we describe the function of these proteins, the intracellular signaling pathways that they regulate, and the current mouse models used to characterize the synaptic and behavioral features associated with their mutation. Finally, we summarize recent studies that have established a connection between mRNA translation and synaptic function in models of ASD and propose that dysregulation of one has a detrimental impact on the other.
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7. Walder DJ, Laplante DP, Sousa-Pires A, Veru F, Brunet A, King S. {{Prenatal maternal stress predicts autism traits in 6(1/2) year-old children: Project Ice Storm}}. {Psychiatry Res};2014 (Oct 30);219(2):353-360.
Research implicates prenatal maternal stress (PNMS) as a risk factor for neurodevelopmental disorders; however few studies report PNMS effects on autism risk in offspring. We examined, prospectively, the degree to which objective and subjective elements of PNMS explained variance in autism-like traits among offspring, and tested moderating effects of sex and PNMS timing in utero. Subjects were 89 (46F/43M) children who were in utero during the 1998 Quebec Ice Storm. Soon after the storm, mothers completed questionnaires on objective exposure and subjective distress, and completed the Autism Spectrum Screening Questionnaire (ASSQ) for their children at age 6(1/2). ASSQ scores were higher among boys than girls. Greater objective and subjective PNMS predicted higher ASSQ independent of potential confounds. An objective-by-subjective interaction suggested that when subjective PNMS was high, objective PNMS had little effect; whereas when subjective PNMS was low, objective PNMS strongly affected ASSQ scores. A timing-by-objective stress interaction suggested objective stress significantly affected ASSQ in first-trimester exposed children, though less so with later exposure. The final regression explained 43% of variance in ASSQ scores; the main effect of sex and the sex-by-PNMS interactions were not significant. Findings may help elucidate neurodevelopmental origins of non-clinical autism-like traits from a dimensional perspective.
