Exploring Motor Speech Disorders in Low and Minimally Verbal Autistic Individuals: An Auditory-Perceptual Analysis.

PURPOSE: Motor deficits are widely documented among autistic individuals, and speech characteristics consistent with a motor speech disorder have been reported in prior literature. We conducted an auditory-perceptual analysis of speech production skills in low and minimally verbal autistic individuals as a step toward clarifying the nature of speech production impairments in this population and the potential link between oromotor functioning and language development. METHOD: Fifty-four low or minimally verbal autistic individuals aged 4-18 years were video-recorded performing nonspeech oromotor tasks and producing phonemes, syllables, and words in imitation. Three trained speech-language pathologists provided auditory perceptual ratings of 11 speech features reflecting speech subsystem performance and overall speech production ability. The presence, attributes, and severity of signs of oromotor dysfunction were analyzed, as were relative performance on nonspeech and speech tasks and correlations between perceptual speech features and language skills. RESULTS AND CONCLUSIONS: Our findings provide evidence of a motor speech disorder in this population, characterized by perceptual speech features including reduced intelligibility, decreased consonant and vowel precision, and impairments of speech coordination and consistency. Speech deficits were more associated with articulation than with other speech subsystems. Speech production was more impaired than nonspeech oromotor abilities in a subgroup of the sample. Oromotor deficits were significantly associated with expressive and receptive language skills. Findings are interpreted in the context of known characteristics of the pediatric motor speech disorders childhood apraxia of speech and childhood dysarthria. These results, if replicated in future studies, have significant potential to improve the early detection of language impairments, inform the development of speech and language interventions, and aid in the identification of neurobiological mechanisms influencing communication development.

Vowel distinctiveness as a concurrent predictor of expressive language function in autistic children.

Speech ability may limit spoken language development in some minimally verbal autistic children. In this study, we aimed to determine whether an acoustic measure of speech production, vowel distinctiveness, is concurrently related to expressive language (EL) for autistic children. Syllables containing the vowels [i] and [a] were recorded remotely from 27 autistic children (4;1-7;11) with a range of spoken language abilities. Vowel distinctiveness was calculated using automatic formant tracking software. Robust hierarchical regressions were conducted with receptive language (RL) and vowel distinctiveness as predictors of EL. Hierarchical regressions were also conducted within a High EL and a Low EL subgroup. Vowel distinctiveness accounted for 29% of the variance in EL for the entire group, RL for 38%. For the Low EL group, only vowel distinctiveness was significant, accounting for 38% of variance in EL. Conversely, in the High EL group, only RL was significant and accounted for 26% of variance in EL. Replicating previous results, speech production and RL significantly predicted concurrent EL in autistic children, with speech production being the sole significant predictor for the Low EL group and RL the sole significant predictor for the High EL group. Further work is needed to determine whether vowel distinctiveness longitudinally, as well as concurrently, predicts EL. Findings have important implications for the early identification of language impairment and in developing language interventions for autistic children.

Oromotor skills in autism spectrum disorder: A scoping review.

Oromotor functioning plays a foundational role in spoken communication and feeding, two areas of significant difficulty for many autistic individuals. However, despite years of research and established differences in gross and fine motor skills in this population, there is currently no clear consensus regarding the presence or nature of oral motor control deficits in autistic individuals. In this scoping review, we summarize research published between 1994 and 2022 to answer the following research questions: (1) What methods have been used to investigate oromotor functioning in autistic individuals? (2) Which oromotor behaviors have been investigated in this population? and (3) What conclusions can be drawn regarding oromotor skills in this population? Seven online databases were searched resulting in 107 studies meeting our inclusion criteria. Included studies varied widely in sample characteristics, behaviors analyzed, and research methodology. The large majority (81%) of included studies report a significant oromotor abnormality related to speech production, nonspeech oromotor skills, or feeding within a sample of autistic individuals based on age norms or in comparison to a control group. We examine these findings to identify trends, address methodological aspects hindering cross-study synthesis and generalization, and provide suggestions for future research.

Comorbidity and Severity in Childhood Apraxia of Speech: A Retrospective Chart Review.

PURPOSE: The purpose of this study was to investigate comorbidity prevalence and patterns in childhood apraxia of speech (CAS) and their relationship to severity. METHOD: In this retroactive cross-sectional study, medical records for 375 children with CAS (M age = 4;9 [years;months], SD = 2;9) were examined for comorbid conditions. The total number of comorbid conditions and the number of communication-related comorbidities were regressed on CAS severity as rated by speech-language pathologists during diagnosis. The relationship between CAS severity and the presence of four common comorbid conditions was also examined using ordinal or multinomial regressions. RESULTS: Overall, 83 children were classified with mild CAS; 35, with moderate CAS; and 257, with severe CAS. Only one child had no comorbidities. The average number of comorbid conditions was 8.4 (SD = 3.4), and the average number of communication-related comorbidities was 5.6 (SD = 2.2). Over 95% of children had comorbid expressive language impairment. Children with comorbid intellectual disability (78.1%), receptive language impairment (72.5%), and nonspeech apraxia (37.3%; including limb, nonspeech oromotor, and oculomotor apraxia) were significantly more likely to have severe CAS than children without these comorbidities. However, children with comorbid autism spectrum disorder (33.6%) were no more likely to have severe CAS than children without autism. CONCLUSIONS: Comorbidity appears to be the rule, rather than the exception, for children with CAS. Comorbid intellectual disability, receptive language impairment, and nonspeech apraxia confer additional risk for more severe forms of CAS. Findings are limited by being from a convenience sample of participants but inform future models of comorbidity. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.22096622.

Lexical and Morphosyntactic Profiles of Autistic Youth With Minimal or Low Spoken Language Skills.

PURPOSE: Autistic youth who are minimally or low verbal are underrepresented in research leaving little to no evidence base for supporting them and their families. To date, few studies have examined the types of words and word combinations these individuals use. The purpose of this study was to take a strengths-based approach to outline descriptive profiles of autistic youth who use few words and elucidate the lexical and morphosyntactic features of their spoken language. METHOD: We analyzed language samples from 49 autistic youth ages 6-21 years who used fewer than 200 words. Systematic Analysis of Language Transcripts was used to investigate the relationship between number of different words (NDW) and proportion of nouns and verbs (vs. other word classes), mean length of utterance in morphemes (MLUm), and the frequency of early developing morphosyntactic structures. We used linear regression to quantify the relationship between NDW and lexical and morphosyntactic features. RESULTS: Proportion of nouns and verbs produced did not increase significantly in those with higher NDW. Conversely, MLUm and the frequency of early developing morphosyntactic structures increased significantly in those with higher NDW. CONCLUSIONS: Youth with higher NDW did not produce more nouns and verbs, suggesting lexical profiles that are not aligned with spoken vocabulary level. Youth with higher NDW had higher MLUm and more early morphosyntactic forms, suggesting that morphosyntactic profiles align with spoken vocabulary level. We discuss the implications for improving clinical services related to spoken language.

Quantifying articulatory impairments in neurodegenerative motor diseases: A scoping review and meta-analysis of interpretable acoustic features.

PURPOSE: Neurodegenerative motor diseases (NMDs) have devastating effects on the lives of patients and their loved ones, in part due to the impact of neurologic abnormalities on speech, which significantly limits functional communication. Clinical speech researchers have thus spent decades investigating speech features in populations suffering from NMDs. Features of impaired articulatory function are of particular interest given their detrimental impact on intelligibility, their ability to encode a variety of distinct movement disorders, and their potential as diagnostic indicators of neurodegenerative diseases. The objectives of this scoping review were to identify (1) which components of articulation (i.e. coordination, consistency, speed, precision, and repetition rate) are the most represented in the acoustic literature on NMDs; (2) which acoustic articulatory features demonstrate the most potential for detecting speech motor dysfunction in NMDs; and (3) which articulatory components are the most impaired within each NMD. METHOD: This review examined literature published between 1976 and 2020. Studies were identified from six electronic databases using predefined key search terms. The first research objective was addressed using a frequency count of studies investigating each articulatory component, while the second and third objectives were addressed using meta-analyses. RESULT: Findings from 126 studies revealed a considerable emphasis on articulatory precision. Of the 24 features included in the meta-analyses, vowel dispersion/distance and stop gap duration exhibited the largest effects when comparing the NMD population to controls. The meta-analyses also revealed divergent patterns of articulatory performance across disease types, providing evidence of unique profiles of articulatory impairment. CONCLUSION: This review illustrates the current state of the literature on acoustic articulatory features in NMDs. By highlighting the areas of need within each articulatory component and disease group, this work provides a foundation on which clinical researchers, speech scientists, neurologists, and computer science engineers can develop research questions that will both broaden and deepen the understanding of articulatory impairments in NMDs.

Review of methods for conducting speech research with minimally verbal individuals with autism spectrum disorder.

The purpose of this paper was to review best-practice methods of collecting and analyzing speech production data from minimally verbal autistic speakers. Data on speech production data in minimally verbal individuals are valuable for a variety of purposes, including phenotyping, clinical assessment, and treatment monitoring. Both perceptual ("by ear") and acoustic analyses of speech can reveal subtle improvements as a result of therapy that may not be apparent when correct/incorrect judgments are used. Key considerations for collecting and analyzing speech production data from this population are reviewed. The definition of "minimally verbal" that is chosen will vary depending on the specific hypotheses investigated, as will the stimuli to be collected and the task(s) used to elicit them. Perceptual judgments are ecologically valid but subject to known sources of bias; therefore, training and reliability procedures for perceptual analyses are addressed, including guidelines on how to select vocalizations for inclusion or exclusion. Factors to consider when recording and acoustically analyzing speech are also briefly discussed. In summary, the tasks, stimuli, training methods, analysis type(s), and level of detail that yield the most reliable data to answer the question should be selected. It is possible to obtain rich high-quality data even from speakers with very little speech output. This information is useful not only for research but also for clinical decision-making and progress monitoring.

Concurrent Predictors of Supplementary Sign Use in School-Aged Children With Childhood Apraxia of Speech.

PURPOSE: Manual sign is a common alternative mode of communication taught to children with childhood apraxia of speech (CAS). Gesture use is positively related to later increases in vocabulary and syntactic complexity in typical development, but there is little evidence supporting the use of manual sign for children with CAS. We sought to identify the communicative functions of signs and gestures produced by children with CAS and to identify concurrent factors suggesting which children are more likely to benefit from sign-supported speech intervention. METHOD: Measures of receptive and expressive language were gathered from 19 children (ages 3.8-11.1 years) with CAS in a school-based sign-supported speech program. Fourteen of the children produced a total of 145 manual signs, which included both gestures and signs from American Sign Language (M = 10.4 per child, SD = 11.6). Manual signs were coded according to whether they conveyed information that was semantically redundant with (complemented) or added information to (supplemented) their speech. RESULTS: Children produced 107 complementary manual signs (75.4%) and 38 supplemental (24.6%) manual signs. Of the 38 supplemental signs, 24 (63.2%) provided additional information in the presence of unintelligible or no speech and 14 (36.8%) provided additional information in the presence of intelligible speech. Children's expressive language scores significantly predicted and accounted for 38.4% of the variance in the number of supplemental signs that children used. CONCLUSION: Children with CAS whose oral expressive language was relatively more impaired produced the most supplementary signs, suggesting that children with oral expressive language challenges are more likely to rely on them for communicating words they cannot yet speak. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.21217814.

The importance of deep speech phenotyping for neurodevelopmental and genetic disorders: a conceptual review.

BACKGROUND: Speech is the most common modality through which language is communicated, and delayed, disordered, or absent speech production is a hallmark of many neurodevelopmental and genetic disorders. Yet, speech is not often carefully phenotyped in neurodevelopmental disorders. In this paper, we argue that such deep phenotyping, defined as phenotyping that is specific to speech production and not conflated with language or cognitive ability, is vital if we are to understand how genetic variations affect the brain regions that are associated with spoken language. Speech is distinct from language, though the two are related behaviorally and share neural substrates. We present a brief taxonomy of developmental speech production disorders, with particular emphasis on the motor speech disorders childhood apraxia of speech (a disorder of motor planning) and childhood dysarthria (a set of disorders of motor execution). We review the history of discoveries concerning the KE family, in whom a hereditary form of communication impairment was identified as childhood apraxia of speech and linked to dysfunction in the FOXP2 gene. The story demonstrates how instrumental deep phenotyping of speech production was in this seminal discovery in the genetics of speech and language. There is considerable overlap between the neural substrates associated with speech production and with FOXP2 expression, suggesting that further genes associated with speech dysfunction will also be expressed in similar brain regions. We then show how a biologically accurate computational model of speech production, in combination with detailed information about speech production in children with developmental disorders, can generate testable hypotheses about the nature, genetics, and neurology of speech disorders. CONCLUSIONS: Though speech and language are distinct, specific types of developmental speech disorder are associated with far-reaching effects on verbal communication in children with neurodevelopmental disorders. Therefore, detailed speech phenotyping, in collaboration with experts on pediatric speech development and disorders, can lead us to a new generation of discoveries about how speech development is affected in genetic disorders.

Auditory-motor mapping training: Testing an intonation-based spoken language treatment for minimally verbal children with autism spectrum disorder.

We tested an intonation-based speech treatment for minimally verbal children with autism (auditory-motor mapping training, AMMT) against a nonintonation-based control treatment (speech repetition therapy, SRT). AMMT involves singing, rather than speaking, two-syllable words or phrases. In time with each sung syllable, therapist and child tap together on electronic drums tuned to the same pitches, thus coactivating shared auditory and motor neural representations of manual and vocal actions, and mimicking the "babbling and banging" stage of typical development. Fourteen children (three females), aged 5.0-10.8, with a mean Autism Diagnostic Observation Schedule-2 score of 22.9 (SD = 2.5) and a mean Kaufman Speech Praxis Test raw score of 12.9 (SD = 13.0) participated in this trial. The main outcome measure was percent syllables approximately correct. Four weeks post-treatment, AMMT resulted in a mean improvement of +12.1 (SE = 3.8) percentage points, compared to +2.8 (SE = 5.7) percentage points for SRT. This between-group difference was associated with a large effect size (Cohen's d = 0.82). Results suggest that simultaneous intonation and bimanual movements presented in a socially engaging milieu are effective factors in AMMT and can create an individualized, interactive music-making environment for spoken-language learning in minimally verbal children with autism.

The Relationship Between Single-Word Speech Severity and Intelligibility in Childhood Apraxia of Speech.

PURPOSE: The purpose of this study was to investigate the association between perceived single-word speech severity and intelligibility in children with childhood apraxia of speech (CAS), with and without comorbid language impairment (LI), and to investigate the contribution of different CAS signs to perceived single-word speech severity and single-word intelligibility. METHOD: Thirty children with CAS, 18 with comorbid LI, completed the Goldman-Fristoe Test of Articulation-Second Edition (GFTA-2). Trained judges coded children's responses for signs of CAS and percent phonemes correct. Nine listeners, blind to diagnoses, rated speech severity using a visual analog scale. Intelligibility was assessed by comparing listeners' orthographic transcriptions of children's responses to target responses. RESULTS: Measures of speech severity (GFTA-2 standard score, number of unique CAS signs, total CAS signs, and mean severity rating) were significantly correlated with measures of intelligibility (GFTA-2 raw score, percent phonemes correct, and mean intelligibility score). Speech severity and intelligibility did not differ significantly between children with and without LI. Only consonant errors contributed significant variability to speech severity. Consonant errors and stress errors contributed significant variability to intelligibility. CONCLUSIONS: Findings suggest that visual analog scale ratings are a valid and convenient measure of single-word speech severity and that GFTA-2 raw score is an equally convenient measure of single-word intelligibility. The result that consonant errors were by far the major contributor to single-word speech severity and intelligibility in children with CAS, with stress errors also making a small contribution to intelligibility, suggests that consonant accuracy and appropriate lexical stress should be prime therapeutic targets for these children in the context of treatment addressing motor planning/programming, self-monitoring, and self-correcting. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.19119350.

A Modeling-Guided Case Study of Disordered Speech in Minimally Verbal Children With Autism Spectrum Disorder.

Purpose Understanding what limits speech development in minimally verbal (MV) children with autism spectrum disorder (ASD) is important for providing highly effective targeted therapies. This preliminary investigation explores the extent to which developmental speech deficits predicted by Directions Into Velocities of Articulators (DIVA), a computational model of speech production, exemplify real phenotypes. Method Implementing a motor speech disorder in DIVA predicted that speech would become highly variable within and between tokens, while implementing a motor speech plus an auditory processing disorder predicted that DIVA's speech would become highly centralized (schwa-like). Acoustic analyses of DIVA's output predicted that acoustically measured phoneme distortion would be similar between the two cases, but that in the former case, speech would show more within- and between-token variability than in the latter case. We tested these predictions quantitatively on the speech of children with MV ASD. In Study 1, we tested the qualitative predictions using perceptual analysis methods. Speech pathologists blinded to the purpose of the study tallied the signs of childhood apraxia of speech that appeared in the speech of 38 MV children with ASD. K-means clustering was used to create two clusters from the group of 38, and analysis of variance was used to determine whether the clusters differed according to perceptual features corresponding to within- and between-token variability. In Study 2, we employed acoustic analyses on the speech of the child from each cluster who produced the largest number of analyzable tokens to test the predictions of differences in within-token variability, between-token variability, and vowel space area. Results Clusters produced by k-means analysis differed by perceptual features that corresponded to within-token variability. Nonsignificant differences between clusters were found for features corresponding to between-token variability. Subsequent acoustic analyses of the selected cases revealed that the speech of the child from the high-variability cluster showed significantly more quantitative within- and between-token variability than the speech of the child from the low-variability cluster. The vowel space of the child from the low-variability cluster was more centralized than that of typical children and that of the child from the high-variability cluster. Conclusions Results provide preliminary evidence that subphenotypes of children with MV ASD may exist, characterized by (a) comorbid motor speech disorder and (b) comorbid motor speech plus auditory processing disorder. The results motivate testable predictions about how these comorbidities affect speech. Supplemental Material https://doi.org/10.23641/asha.14384432.

Factor analysis of signs of childhood apraxia of speech.

PURPOSE: To investigate the latent factors underlying signs of childhood apraxia of speech (CAS) in a group of 57 children with CAS. METHOD: The speech of 57 children with CAS (aged 3;5-17;0) was coded for signs of CAS. All participants showed at least five signs of CAS and were judged to have CAS by speech pathologists experienced in pediatric speech disorders. Participants were selected to represent a range of severity of CAS: 30 children were verbal and 27 were minimally verbal with comorbid autism. Participants' scores for each sign (the number of times that sign appeared during a child's speech sample) were converted to z-scores, then entered as variables into an exploratory factor analysis. Models were compared using the Akaike Information Criterion (AIC). RESULTS: The three-factor model had the lowest AIC and best fit the data. After oblique rotation, syllable segmentation, slow rate, and stress errors loaded most highly on Factor 1. Groping, addition of phonemes other than schwa, and difficulty with coarticulation loaded most highly on Factor 2. Variable errors loaded most highly on Factor 3. Thus, factors were interpreted as being associated with (1) prosody, (2) coarticulation, and (3) inconsistency. CONCLUSIONS: Results are consistent with the three consensus criteria for CAS from the American Speech-Language-Hearing Association: Inappropriate prosody, disrupted coarticulatory transitions, and inconsistent errors on repeated tokens. High loading of the syllable segmentation sign on the inappropriate prosody factor also supports the use of a pause-related biomarker for CAS.

Communication interventions for autism spectrum disorder in minimally verbal children.

BACKGROUND: Autism spectrum disorder (ASD) has an estimated prevalence of around 1.7% of the population. People with ASD often also have language difficulties, and about 25% to 30% of children with ASD either fail to develop functional language or are minimally verbal. The ability to communicate effectively is an essential life skill, and difficulties with communication can have a range of adverse outcomes, including poorer academic achievement, behavioural difficulties and reduced quality of life. Historically, most studies have investigated communication interventions for ASD in verbal children. We cannot assume the same interventions will work for minimally verbal children with ASD. OBJECTIVES: To assess the effects of communication interventions for ASD in minimally verbal children. SEARCH METHODS: We searched CENTRAL, MEDLINE and Embase as well as 12 other databases and three trials registers in November 2017. We also checked the reference lists of all included studies and relevant reviews, contacting experts in the field as well as authors of identified studies about other potentially relevant ongoing and unpublished studies. SELECTION CRITERIA: Randomised controlled trials (RCTs) of communication-focused interventions for children (under 12 years of age) diagnosed with ASD and who are minimally verbal (fewer than 30 functional words or unable to use speech alone to communicate), compared with no treatment, wait-list control or treatment as usual. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methodological procedures. MAIN RESULTS: This review includes two RCTs (154 children aged 32 months to 11 years) of communication interventions for ASD in minimally verbal children compared with a control group (treatment as usual). One RCT used a verbally based intervention (focused playtime intervention; FPI) administered by parents in the home, whereas the other used an alternative and augmentative communication (AAC) intervention (Picture Exchange Communication System; PECS) administered by teachers in a school setting.The FPI study took place in the USA and included 70 participants (64 boys) aged 32 to 82 months who were minimally verbal and had received a diagnosis of ASD. This intervention focused on developing coordinated toy play between child and parent. Participants received 12 in-home parent training sessions for 90 minutes per session for 12 weeks, and they were also invited to attend parent advocacy coaching sessions. This study was funded by the National Institute of Child Health and Human Development, the MIND Institute Research Program and a Professional Staff Congress-City University of New York grant. The PECS study included 84 minimally verbal participants (73 boys) aged 4 to 11 years who had a formal diagnosis of ASD and who were not using PECS beyond phase 1 at baseline. All children attended autism-specific classes or units, and most classes had a child to adult ratio of 2:1. Teachers and parents received PECS training (two-day workshop). PECS consultants also conducted six half-day consultations with each class once per month over five months. This study took place in the UK and was funded by the Three Guineas Trust.Both included studies had high or unclear risk of bias in at least four of the seven 'Risk of bias' categories, with a lack of blinding for participants and personnel being the most problematic area. Using the GRADE approach, we rated the overall quality of the evidence as very low due to risk of bias, imprecision (small sample sizes and wide confidence intervals) and because there was only one trial identified per type of intervention (i.e. verbally based or AAC).Both studies focused primarily on communication outcomes (verbal and non-verbal). One of the studies also collected information on social communication. The FPI study found no significant improvement in spoken communication, measured using the expressive language domain of the Mullen Scale of Early Learning expressive language, at postintervention. However, this study found that children with lower expressive language at baseline (less than 11.3 months age-equivalent) improved more than children with better expressive language and that the intervention produced expressive language gains in some children. The PECS study found that children enrolled in the AAC intervention were significantly more likely to use verbal initiations and PECS symbols immediately postintervention; however, gains were not maintained 10 months later. There was no evidence that AAC improved frequency of speech, verbal expressive vocabulary or children's social communication or pragmatic language immediately postintervention. Overall, neither of the interventions (PECS or FPI) resulted in maintained improvements in spoken or non-verbal communication in most children.Neither study collected information on adverse events, other communication skills, quality of life or behavioural outcomes. AUTHORS' CONCLUSIONS: There is limited evidence that verbally based and ACC interventions improve spoken and non-verbal communication in minimally verbal children with ASD. A substantial number of studies have investigated communication interventions for minimally verbal children with ASD, yet only two studies met inclusion criteria for this review, and we considered the overall quality of the evidence to be very low. In the study that used an AAC intervention, there were significant gains in frequency of PECS use and verbal and non-verbal initiations, but not in expressive vocabulary or social communication immediately postintervention. In the study that investigated a verbally based intervention, there were no significant gains in expressive language postintervention, but children with lower expressive language at the beginning of the study improved more than those with better expressive language at baseline. Neither study investigated adverse events, other communication skills, quality of life or behavioural outcomes. Future RCTs that compare two interventions and include a control group will allow us to better understand treatment effects in the context of spontaneous maturation and will allow further comparison of different interventions as well as the investigation of moderating factors.

From intuition to intervention: developing an intonation-based treatment for autism.

Autism affects ∼1.5% of children under age 8; its core symptoms include impairment in social-communicative functioning and repetitive behaviors/restricted interests. Music-based interventions have been considered one modality through which to treat autism. This report discusses considerations to take into account when developing a music-based intervention for a core symptom of autism. Treatment modality must be matched to symptom both clinically and theoretically, the behavior to be treated must be carefully defined and assessed, and outcome measures must be capable of showing improvement in that behavior over the course of the study. Fidelity assessment and rater blinding reduce experimenter bias. High inter-rater reliability for perceptually determined outcome measures helps obtain accurate estimates of treatment response. Later stages of testing compare the experimental intervention to matched control treatments or other validated therapies, isolating the intervention's "active ingredients." Such systematic investigation of a new music-based intervention can provide information of different types, ranging from an assessment of whether the intervention has any effect at all to an assessment of its outcomes and risks in uncontrolled community settings. Findings ultimately compose the evidence base that clinicians and families can use to decide the most effective way of addressing symptoms of autism for particular children.

Auditory-Motor Mapping Training in a More Verbal Child with Autism.

We tested the effect of Auditory-Motor Mapping Training (AMMT), a novel, intonation-based treatment for spoken language originally developed for minimally verbal (MV) children with autism, on a more-verbal child with autism. We compared this child's performance after 25 therapy sessions with that of: (1) a child matched on age, autism severity, and expressive language level who received 25 sessions of a non-intonation-based control treatment Speech Repetition Therapy (SRT); and (2) a matched pair of MV children (one of whom received AMMT; the other, SRT). We found a significant Time × Treatment effect in favor of AMMT for number of Syllables Correct and Consonants Correct per stimulus for both pairs of children, as well as a significant Time × Treatment effect in favor of AMMT for number of Vowels Correct per stimulus for the more-verbal pair. Magnitudes of the difference in post-treatment performance between AMMT and SRT, adjusted for Baseline differences, were: (a) larger for the more-verbal pair than for the MV pair; and (b) associated with very large effect sizes (Cohen's d > 1.3) in the more-verbal pair. Results hold promise for the efficacy of AMMT for improving spoken language production in more-verbal children with autism as well as their MV peers and suggest hypotheses about brain function that are testable in both correlational and causal behavioral-imaging studies.