Providing visual directives via a smart watch to a student with Autism Spectrum Disorder: an intervention note.

Smart watches are discreet and wearable tools that may be repurposed to improve directive-following for individuals with autism spectrum disorder (ASD). Specifically, a mentor can transmit just-in-time (JIT) visual supports (e.g., video clips, photographs, text) that depict an upcoming directive to a learner's smart watch to prompt the learner as needed from a distance. Using a single-case multiple probe design across settings, this investigation evaluated the effectiveness of providing text-based prompts on an Apple Watch 1 to a child with ASD within a school setting. A mentor transmitted 2-step written directives via text message to the participant's Apple Watch. The participant was instructed to attend to, read, and follow directives received on the watch. Results demonstrated that the intervention improved directive-following as well as increased the instructor's distance from the learner. It is proposed that JIT supports sent to a learner's smart watch may reduce the obtrusiveness of traditional prompting while also maintaining the naturalness of ongoing social or academic interactions. Clinical limitations and implications are discussed.

Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire.

PURPOSE: Predictions are complex, multisensory, and dynamic processes involving real-time adjustments based on environmental inputs. Disruptions to prediction abilities have been proposed to underlie characteristics associated with autism. While there is substantial empirical literature related to prediction, the field lacks a self-assessment measure of prediction skills related to daily tasks. Such a measure would be useful to better understand the nature of day-to-day prediction-related activities and characterize these abilities in individuals who struggle with prediction. METHODS: An interdisciplinary mixed-methods approach was utilized to develop and validate a self-report questionnaire of prediction skills for adults, the Prediction-Related Experiences Questionnaire (PRE-Q). Two rounds of online field testing were completed in samples of autistic and neurotypical (NT) adults. Qualitative feedback from a subset of these participants regarding question content and quality was integrated and Rasch modeling of the item responses was applied. RESULTS: The final PRE-Q includes 19 items across 3 domains (Sensory, Motor, Social), with evidence supporting the validity of the measure's 4-point response categories, internal structure, and relationship to other outcome measures associated with prediction. Consistent with models of prediction challenges in autism, autistic participants indicated more prediction-related difficulties than the NT group. CONCLUSIONS: This study provides evidence for the validity of a novel self-report questionnaire designed to measure the day-to-day prediction skills of autistic and non-autistic adults. Future research should focus on characterizing the relationship between the PRE-Q and lab-based measures of prediction, and understanding how the PRE-Q may be used to identify potential areas for clinical supports for individuals with prediction-related challenges.

Precision fMRI reveals that the language network exhibits adult-like left-hemispheric lateralization by 4 years of age.

Left hemisphere damage in adulthood often leads to linguistic deficits, but many cases of early damage leave linguistic processing preserved, and a functional language system can develop in the right hemisphere. To explain this early apparent equipotentiality of the two hemispheres for language, some have proposed that the language system is bilateral during early development and only becomes left-lateralized with age. We examined language lateralization using functional magnetic resonance imaging with two large pediatric cohorts (total n=273 children ages 4-16; n=107 adults). Strong, adult-level left-hemispheric lateralization (in activation volume and response magnitude) was evident by age 4. Thus, although the right hemisphere can take over language function in some cases of early brain damage, and although some features of the language system do show protracted development (magnitude of language response and strength of inter-regional correlations in the language network), the left-hemisphere bias for language is robustly present by 4 years of age. These results call for alternative accounts of early equipotentiality of the two hemispheres for language.

Altered engagement of the speech motor network is associated with reduced phonological working memory in autism.

Nonword repetition, a common clinical measure of phonological working memory, involves component processes of speech perception, working memory, and speech production. Autistic children often show behavioral challenges in nonword repetition, as do many individuals with communication disorders. It is unknown which subprocesses of phonological working memory are vulnerable in autistic individuals, and whether the same brain processes underlie the transdiagnostic difficulty with nonword repetition. We used functional magnetic resonance imaging (fMRI) to investigate the brain bases for nonword repetition challenges in autism. We compared activation during nonword repetition in functional brain networks subserving speech perception, working memory, and speech production between neurotypical and autistic children. Autistic children performed worse than neurotypical children on nonword repetition and had reduced activation in response to increasing phonological working memory load in the supplementary motor area. Multivoxel pattern analysis within the speech production network classified shorter vs longer nonword-repetition trials less accurately for autistic than neurotypical children. These speech production motor-specific differences were not observed in a group of children with reading disability who had similarly reduced nonword repetition behavior. These findings suggest that atypical function in speech production brain regions may contribute to nonword repetition difficulties in autism.

Inflated scaled scores on the digital WISC-V coding subtest in a Canadian sample.

This study examined performance differences in the traditional paper-and-pencil and new digital versions of the Coding subtest from the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) using a cross-sectional sample. A total of 212 school-aged children between 6 and 14 years old were included in the sample, with 116 completing the paper version and 96 completing the digital version administered on a tablet in 2017-2018. One-way ANOVA revealed a significant difference with large effect size between mean scaled scores, with the digital version resulting in higher scaled scores than the paper version, F (1, 210) = 67.57, p < 0.001, d = 1.14, ηp2 = 0.24. That is, normed digital scores appear inflated as compared to paper scores. No difference in raw scores was observed when controlling for age, F (1, 209) = 0.54, p > 0.05. Post-hoc analyses were performed to account for potential confounds in demographic differences and to maximize group equivalence, with the same pattern of results. Findings have important implications for clinical interpretation of Coding scores when administering the digital version of the task. Clinicians, including psychologists and neuropsychologists, should be aware of the limitations of the new digital version of this subtest, including differences in standardized performance and task requirements. Future studies using random assignment and/or repeated-measures design are needed to replicate these findings.

Prediction in Autism Spectrum Disorder: A Systematic Review of Empirical Evidence.

According to a recent influential proposal, several phenotypic features of autism spectrum disorder (ASD) may be accounted for by differences in predictive skills between individuals with ASD and neurotypical individuals. In this systematic review, we describe results from 47 studies that have empirically tested this hypothesis. We assess the results based on two observable aspects of prediction: learning a pairing between an antecedent and a consequence and responding to an antecedent in a predictive manner. Taken together, these studies suggest distinct differences in both predictive learning and predictive response. Studies documenting differences in learning predictive pairings indicate challenges in detecting such relationships especially when predictive features of an antecedent have low salience or consistency, and studies showing differences in habituation and perceptual adaptation suggest low-level predictive processing differences in ASD. These challenges may account for the observed differences in the influence of predictive priors, in spontaneous predictive movement or gaze, and in social prediction. An important goal for future research will be to better define and constrain the broad domain-general hypothesis by testing multiple types of prediction within the same individuals. Additional promising avenues include studying prediction within naturalistic contexts and assessing the effect of prediction-based intervention on supporting functional outcomes for individuals with ASD. LAY SUMMARY: Researchers have suggested that many features of autism spectrum disorder (ASD) may be explained by differences in the prediction skills of people with ASD. We review results from 47 studies. These studies suggest that ASD may be associated with differences in the learning of predictive pairings (e.g., learning cause and effect) and in low-level predictive processing in the brain (e.g., processing repeated sounds). These findings lay the groundwork for research that can improve our understanding of ASD and inform interventions. Autism Res 2021, 14: 604-630. © 2021 International Society for Autism Research and Wiley Periodicals LLC.

Executive Functioning Rating Scale as a Screening Tool for ADHD: Independent Validation of the BDEFS-CA.

Objective: This study provides independent examination of the validity of the Barkley Deficits of Executive Functioning Scale-Children and Adolescents (BDEFS-CA) in a sample of children diagnosed with ADHD (n = 50) and typically developing controls (n = 50). Method: Parents of participants completed the BDEFS-CA and the Conners 3 rating scales. Validity of BDEFS-CA was examined using a confirmatory factor analysis, correlational analyses with Conners 3 ratings, and receiver operating characteristic (ROC) curve analysis of diagnostic accuracy. Results: Findings support the construct, concurrent, and discriminant validity of the BDEFS-CA in a mixed sample. Conclusion: Findings provide independent examination of the validity of the BDEFS-CA as a measure of executive dysfunction and a screening tool for ADHD.

Auditory Processing of Speech and Tones in Children With Tuberous Sclerosis Complex.

Individuals with Tuberous Sclerosis Complex (TSC) have atypical white matter integrity and neural connectivity in the brain, including language pathways. To explore functional activity associated with auditory and language processing in individuals with TSC, we used electroencephalography (EEG) to examine basic auditory correlates of detection (P1, N2, N4) and discrimination (mismatch negativity, MMN) of speech and non-speech stimuli for children with TSC and age- and sex-matched typically developing (TD) children. Children with TSC (TSC group) and without TSC (typically developing, TD group) participated in an auditory MMN paradigm containing two blocks of vowels (/a/and/u/) and two blocks of tones (800 Hz and 400 Hz). Continuous EEG data were collected. Multivariate pattern analysis (MVPA) was used to explore functional specificity of neural auditory processing. Speech-specific P1, N2, and N4 waveform components of the auditory evoked potential (AEP) were compared, and the mismatch response was calculated for both speech and tones. MVPA showed that the TD group, but not the TSC group, demonstrated above-chance pairwise decoding between speech and tones. The AEP component analysis suggested that while the TD group had an increased P1 amplitude in response to vowels compared to tones, the TSC group did not show this enhanced response to vowels. Additionally, the TD group had a greater N2 amplitude in response to vowels, but not tones, compared to the TSC group. The TSC group also demonstrated a longer N4 latency to vowels compared to tones, which was not seen in the TD group. No group differences were observed in the MMN response. In this study we identified features of the auditory response to speech sounds, but not acoustically matched tones, which differentiate children with TSC from TD children.

Reduced graphomotor procedural learning in children and adolescents with ADHD.

PURPOSE: The present study sought to determine if children and adolescents with ADHD demonstrate reduced procedural learning of a graphomotor program. METHOD: Thirty-two children and adolescents between age 9 and 15 with (n = 16) and without ADHD (n = 16) participated in the study. Each group of participants practiced a novel grapheme on a digitizing tablet 30 times. Participants with ADHD were off stimulant medication or were medication naïve. RESULTS: Control participants demonstrated significant improvement in graphomotor fluency from the beginning to the end of practice, T = 2, z = -2.534, p = .009, whereas participants with ADHD did not, T = 4, z = -1.810, p = .074. CONCLUSIONS: Consistent with findings in adults with ADHD, results indicate that graphomotor procedural learning in children and adolescents with ADHD is attenuated. Findings have implications for future research that may inform remediation of handwriting difficulties, academic accommodations, and using digitizing technology for neuropsychological assessment.

Short-term test-retest reliability of the ImPACT in healthy young athletes.

The present study examined the short-term test-retest reliability of the Immediate Post-concussion Assessment and Cognitive Testing (ImPACT) variables with healthy 11- to 14-year-old athletes. 53 young athletes (Mage = 12.4 years, 9 female) were administered the ImPACT on two separate occasions two weeks apart. Participants were instructed to complete the Post-Concussion Symptom Scale (PCSS) and the baseline computerized neurocognitive test during both the baseline and retest phases. Intraclass correlation (ICC), standard error of measurement (SEM), and reliable change index (RCI) were used as reliability metrics. PCSS Total Symptoms and Visual-Motor Speed were the only scores to reach clinical reliability standards (i.e., R > 0.7). None of the scores exceeded RCI cut-offs. Results indicate that the composite scores of the ImPACT are differentially reliable in a preadolescent sample across a two-week retest period, with only motor processing speed and self-reported symptoms exceeding clinical reliability standards. The findings support the view that neurocognitive testing should not be the sole determining factor in concussion assessment. This study highlights the importance of continuing research with younger athletes to assess the reliability of neurocognitive measures in concussion management programs. Future research should focus on a larger, heterogeneous sample, including children with learning disabilities and ADHD.