Trial reportAnnals of the New York Academy of Sciences2022
Auditory-motor mapping training: Testing an intonation-based spoken language treatment for minimally verbal children with autism spectrum disorder.
Trial report in Annals of the New York Academy of Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Interventions to Promote Communication in Minimally Verbal Autistic Children: A Systematic Review.Medical sciences (Basel, Switzerland) · 2026Pooled it
- The effect of music interventions in autism spectrum disorder: a systematic review and meta-analysis.Frontiers in integrative neuroscience · 2025Pooled it
- Interventions through Art Therapy and Music Therapy in Autism Spectrum Disorder, ADHD, Language Disorders, and Learning Disabilities in Pediatric-Aged Children: A Systematic Review.Children (Basel, Switzerland) · 2024Review
- Rhythm and music for promoting sensorimotor organization in autism: broader implications for outcomes.Frontiers in integrative neuroscience · 2024Article
- Oromotor skills in autism spectrum disorder: A scoping review.Autism research : official journal of the International Society for Autism Research · 2023Article
- Effects of melodic intonation therapy in patients with chronic nonfluent aphasia.Annals of the New York Academy of Sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.