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Journal of Autism and Developmental Disorders

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04-01-2020 | Original Paper

Not So Automatic Imitation: Expectation of Incongruence Reduces Interference in Both Autism Spectrum Disorder and Typical Development

Auteurs: Andrew Gordon, Raphael Geddert, Jeremy Hogeveen, Marie K. Krug, Sukhvinder Obhi, Marjorie Solomon

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 4/2020

Abstract

Research has observed evidence for both hypo-(supposedly due to a broken mirror neuron system) and hyper-(thought to be the result of deficits in adaptive control) imitation in autism spectrum disorder (ASD). This work sought to adjudicate between these findings using an automatic imitation (AI) paradigm with the novel manipulation of the need to engage adaptive control of imitation. Results demonstrated that ASD participants do not display a specific deficit in AI capability, are able to engage in proactive control of AI, and that relative to a well-matched effector condition, AI is not selectively associated with ASD symptom severity. These data cast doubt upon the notion of impairments in imitation or its control in ASD.

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The length of presentation was determined by randomly selecting a time within this range (in 50 ms increments). During the first trial of each block this image was displayed for 2000-3000 ms to give participants extra time to prepare for the task.

Median RTs were used instead of mean RTs in order to provide an unbiased measure in the presence of skewed RT distributions (see Brenner and Smeets 2019; Rousselet and Wilcox 2019; Whelan 2008). In order to ascertain that this choice did not unduly affect the pattern of data observed we re-ran the analyses using mean RTs and observed results equivalent to those using median RTs.

In addition, and in order to provide data consistent with prior work (e.g., 47) we re-ran our analyses on inverse-efficiency scores (IES: calculated as the reaction time divided by the accuracy) that are also designed to address the speed-accuracy trade-off. The results of these analyses did not differ from those using drift rate and we therefore only report the drift rate analysis in this manuscript.

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Titel: Not So Automatic Imitation: Expectation of Incongruence Reduces Interference in Both Autism Spectrum Disorder and Typical Development
Auteurs: Andrew Gordon
Raphael Geddert
Jeremy Hogeveen
Marie K. Krug
Sukhvinder Obhi
Marjorie Solomon
Publicatiedatum: 04-01-2020
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 4/2020
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-019-04355-9

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