Rhythmic and interval-based temporal orienting in autism.
Timing cues work for most autistic learners; look for ADHD when they don’t.
01Research in Context
What this study did
Safer-Lichtenstein et al. (2023) tested how well autistic and non-autistic adults use timing cues. They gave short beeps that followed either a steady beat or silent gaps. Participants pressed a key when they thought the next beep would come.
The team also checked who had ADHD. They wanted to see if timing problems only show up when autism and ADHD occur together.
What they found
Most autistic adults used the timing cues just as well as non-autistic adults. Their reaction times improved the same amount when the rhythm or gap gave away the next moment.
Only the small group with both autism and ADHD failed to benefit from the silent-gap cues. Their responses stayed slow even when the gap clearly signaled when to press.
How this fits with other research
Franich et al. (2021) looked at speech and drumming timing in autistic teens without ADHD. They found more timing variability in the autism group, which seems opposite to the null result here. The difference is in the sample: Kathryn’s study excluded ADHD, while Jonathan’s found problems only in the ASD-plus-ADHD subgroup.
Finke et al. (2017) showed autistic kids need longer silent gaps to notice sound breaks at all. Jonathan’s work says once the gap is noticed, autistic adults (without ADHD) can use it to predict. The earlier paper set the threshold; the new paper shows prediction still works.
Dudley et al. (2019) reviewed 45 timing studies and said higher-level timing tasks show the clearest group differences. Jonathan’s task is high-level, yet showed no broad autism effect—again pointing to ADHD co-occurrence as the key factor.
Why it matters
If a client struggles with waiting or timed transitions, check for ADHD before assuming it’s the autism. You can still use rhythmic warnings, countdowns, or beat-based cues for most autistic learners. Save extra support—like visual timers or shorter intervals—for those with combined diagnoses.
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02At a glance
03Original abstract
Individuals with autism spectrum disorder (ASD) may show secondary sensory and cognitive characteristics, including differences in auditory processing, attention, and, according to a prominent hypothesis, the formulation and utilization of predictions. We explored the overlap of audition, attention, and prediction with an online auditory "temporal orienting" task in which participants utilized predictive timing cues (both rhythmic and interval-based) to improve their detection of faint sounds. We compared an autistic (n = 78) with a nonautistic (n = 83) group, controlling for nonverbal IQ, and used signal detection measures and reaction times to evaluate the effect of valid temporally predictive cues. We hypothesized that temporal orienting would be compromised in autism, but this was not supported by the data: the boost in performance induced by predictability was practically identical for the two groups, except for the small subset of the ASD group with co-occurring attention deficit hyperactivity disorder, who received less benefit from interval-based cueing. However, we found that the presence of a rhythm induced a significantly stronger bias toward reporting target detections in the ASD group at large, suggesting weakened response inhibition during rhythmic entrainment.
Autism research : official journal of the International Society for Autism Research, 2023 · doi:10.53053/pimj5590