Tiffany Woynaroski

Multisensory Temporal Integration in Autism Spectrum Disorders

The new DSM-5 diagnostic criteria for autism spectrum disorders (ASDs) include sensory disturbances in addition to the well-established language, communication, and social deficits. One sensory disturbance seen in ASD is an impaired ability to integrate multisensory information into a unified percept. This may arise from an underlying impairment in which individuals with ASD have difficulty perceiving the temporal relationship between cross-modal inputs, an important cue for multisensory integration. Such impairments in multisensory processing may cascade into higher-level deficits, impairing day-to-day functioning on tasks, such as speech perception. To investigate multisensory temporal processing deficits in ASD and their links to speech processing, the current study mapped performance on a number of multisensory temporal tasks (with both simple and complex stimuli) onto the ability of individuals with ASD to perceptually bind audiovisual speech signals. High-functioning children with ASD were compared with a group of typically developing children. Performance on the multisensory temporal tasks varied with stimulus complexity for both groups; less precise temporal processing was observed with increasing stimulus complexity. Notably, individuals with ASD showed a speech-specific deficit in multisensory temporal processing. Most importantly, the strength of perceptual binding of audiovisual speech observed in individuals with ASD was strongly related to their low-level multisensory temporal processing abilities. Collectively, the results represent the first to illustrate links between multisensory temporal function and speech processing in ASD, strongly suggesting that deficits in low-level sensory processing may cascade into higher-order domains, such as language and communication.

Brief Report: Arrested Development of Audiovisual Speech Perception in Autism Spectrum Disorders

Atypical communicative abilities are a core marker of Autism Spectrum Disorders (ASD). A number of studies have shown that, in addition to auditory comprehension differences, individuals with autism frequently show atypical responses to audiovisual speech, suggesting a multisensory contribution to these communicative differences from their typically developing peers. To shed light on possible differences in the maturation of audiovisual speech integration, we tested younger (ages 6–12) and older (ages 13–18) children with and without ASD on a task indexing such multisensory integration. To do this, we used the McGurk effect, in which the pairing of incongruent auditory and visual speech tokens typically results in the perception of a fused percept distinct from the auditory and visual signals, indicative of active integration of the two channels conveying speech information. Whereas little difference was seen in audiovisual speech processing (i.e., reports of McGurk fusion) between the younger ASD and TD groups, there was a significant difference at the older ages. While TD controls exhibited an increased rate of fusion (i.e., integration) with age, children with ASD failed to show this increase. These data suggest arrested development of audiovisual speech integration in ASD. The results are discussed in light of the extant literature and necessary next steps in research.

Effects of Dose Frequency of Early Communication Intervention in Young Children With and Without Down Syndrome

Children with intellectual disability were randomly assigned to receive Milieu Communication Teaching (MCT) at one 1-hr session per week (low dose frequency, LDF) or five 1-hr sessions per week (high dose frequency, HDF) over 9 months ( Fey, Yoder, Warren, & Bredin-Oja, 2013 . Non-Down syndrome (NDS) and Down syndrome (DS) subgroups were matched on intelligence, mental age, and chronological age. The NDS group had significantly more growth in spoken vocabulary than the DS group. In the DS subgroup, the HDF group had more spoken vocabulary growth than the LDF group when IQ was controlled. In both etiological subgroups, the HDF group yielded greater vocabulary production outcomes than the LDF group for children who played functionally with a range of objects.

Social communication intervention effects vary by dependent variable type in preschoolers with autism spectrum disorders

Abstract Individuals with autism spectrum disorders (ASDs) have difficulty communicating in ways that are primarily for initiating and maintaining social relatedness (i.e., social communication). We hypothesized that the way researchers measured social communication would affect whether treatment effects were found. Using a best evidence review method, we found that treatments were shown to improve social communication outcomes approximately 54% of the time. The probability that a treatment affected social communication varied greatly depending on whether social communication was directly targeted (63%) or not (39%). Finally, the probability that a treatment affected social communication also varied greatly depending on whether social communication as measured in (a) contexts very similar to treatment sessions (82%) or (b) contexts that differed from treatment on at least setting, materials, and communication partner (33%). This paper also provides several methodological contributions.

Toward an interdisciplinary approach to understanding sensory function in autism spectrum disorder.

Heightened interest in sensory function in persons with autism spectrum disorder (ASD) presents an unprecedented opportunity for impactful, interdisciplinary work between neuroscientists and clinical practitioners for whom sensory processing is a focus. In spite of this promise, and a number of overlapping perspectives on sensory function in persons with ASD, neuroscientists and clinical practitioners are faced with significant practical barriers to transcending disciplinary silos. These barriers include divergent goals, values, and approaches that shape each discipline, as well as different lexical conventions. This commentary is itself an interdisciplinary effort to describe the shared perspectives, and to conceptualize a framework that may guide future investigation in this area. We summarize progress to date and issue a call for clinical practitioners and neuroscientists to expand cross‐disciplinary dialogue and to capitalize on the complementary strengths of each field to unveil the links between neural and behavioral manifestations of sensory differences in persons with ASD. Joining forces to face these challenges in a truly interdisciplinary way will lead to more clinically informed neuroscientific investigation of sensory function, and better translation of those findings to clinical practice. Likewise, a more coordinated effort may shed light not only on how current approaches to treating sensory processing differences affect brain and behavioral responses to sensory stimuli in individuals with ASD, but also on whether such approaches translate to gains in broader characteristics associated with ASD. It is our hope that such interdisciplinary undertakings will ultimately converge to improve assessment and interventions for persons with ASD. Autism Res 2016, 9: 920–925.

Atypical Cross‐Modal Profiles and Longitudinal Associations Between Vocabulary Scores in Initially Minimally Verbal Children With ASD

We tested the relative levels (i.e., age equivalencies) of concurrent cross‐modality (receptive and expressive) vocabulary and the relative strength of the longitudinal, cross‐modality associations between early and later vocabulary sizes in minimally verbal preschoolers with ASD. Eighty‐seven children participated. Parent‐reported vocabulary was assessed at four periods separated by 4 months each. Expressive age equivalent scores were higher than receptive age equivalent scores at all four periods. Cross‐lagged panel analysis was used to rule out common, but trivial, explanations for differences between the longitudinal associations of interest. Key associations were tested across intervals that varied from 8 to 12 months. In two of the three tested panels, the associations between early expressive vocabulary size and later receptive vocabulary size were stronger than the associations between early receptive vocabulary size and later expressive vocabulary size, providing evidence that is consistent with the hypothesis that expressive vocabulary size drives receptive vocabulary size in minimally verbal preschoolers with ASD. Autism Res 2016, 9: 301–310.

A Transactional Model of Spoken Vocabulary Variation in Toddlers With Intellectual Disabilities

PURPOSE The authors examined (a) whether dose frequency of milieu communication teaching (MCT) affects childrens canonical syllabic communication and (b) whether the relation between early canonical syllabic communication and later spoken vocabulary is mediated by parental linguistic mapping in children with intellectual disabilities (ID). METHOD The authors drew on extant data from a recent differential treatment intensity study in which 63 toddlers with ID were randomly assigned to receive either five 1-hr MCT sessions per week (i.e., daily treatment) or one 1-hr MCT session per week (i.e., weekly treatment) for 9 months. Childrens early canonical syllabic communication was measured after 3 months of treatment, and later spoken vocabulary was measured at posttreatment. Midpoint parental linguistic mapping was measured after 6 months of treatment. RESULTS A moderate-sized effect in favor of daily treatment was observed on canonical syllabic communication. The significant relation between canonical syllabic communication and spoken vocabulary was partially mediated by linguistic mapping. CONCLUSIONS These results suggest that canonical syllabic communication may elicit parental linguistic mapping, which may in turn support spoken vocabulary development in children with ID. More frequent early intervention boosted canonical syllabic communication, which may jump-start this transactional language-learning mechanism. Implications for theory, research, and practice are discussed.

Neural Correlates of Sensory Hyporesponsiveness in Toddlers at High Risk for Autism Spectrum Disorder.

Altered patterns of sensory responsiveness are a frequently reported feature of Autism Spectrum Disorder (ASD). Younger siblings of individuals with ASD are at a greatly elevated risk of a future diagnosis of ASD, but little is known about the neural basis of sensory responsiveness patterns in this population. Younger siblings (n = 20) of children diagnosed with ASD participated in resting electroencephalography (EEG) at an age of 18 months. Data on toddlers’ sensory responsiveness were obtained using the Sensory Experiences Questionnaire. Correlations were present between hyporesponsiveness and patterns of oscillatory power, functional connectivity, and signal complexity. Our findings suggest that neural signal features hold promise for facilitating early identification and targeted remediation in young children at risk for ASD.

Early Predictors of Growth in Diversity of Key Consonants Used in Communication in Initially Preverbal Children with Autism Spectrum Disorder

Diversity of key consonants used in communication (DKCC) is a value-added predictor of expressive language growth in initially preverbal children with autism spectrum disorder (ASD). Studying the predictors of DKCC growth in young children with ASD might inform treatment of this under-studied aspect of prelinguistic development. Eighty-seven initially preverbal preschoolers with ASD and their parents were observed at five measurement periods. In this longitudinal correlational investigation, we found that child intentional communication acts and parent linguistic responses to child leads predicted DKCC growth, after controlling for two other predictors and two background variables. As predicted, receptive vocabulary mediated the association between the value-added predictors and endpoint DKCC.

The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder.

Theory and research suggest that vocal development predicts “useful speech” in preschoolers with autism spectrum disorder (ASD), but conventional methods for measurement of vocal development are costly and time consuming. This longitudinal correlational study examines the reliability and validity of several automated indices of vocalization development relative to an index derived from human coded, conventional communication samples in a sample of preverbal preschoolers with ASD. Automated indices of vocal development were derived using software that is presently “in development” and/or only available for research purposes and using commercially available Language ENvironment Analysis (LENA) software. Indices of vocal development that could be derived using the software available for research purposes: (a) were highly stable with a single day‐long audio recording, (b) predicted future spoken vocabulary to a degree that was nonsignificantly different from the index derived from conventional communication samples, and (c) continued to predict future spoken vocabulary even after controlling for concurrent vocabulary in our sample. The score derived from standard LENA software was similarly stable, but was not significantly correlated with future spoken vocabulary. Findings suggest that automated vocal analysis is a valid and reliable alternative to time intensive and expensive conventional communication samples for measurement of vocal development of preverbal preschoolers with ASD in research and clinical practice. Autism Res 2017, 10: 508–519.