| Title |
Ex-Gaussian, Frequency and Reward Analyses Reveal Specificity of Reaction Time Fluctuations to ADHD and Not Autism Traits
|
|---|---|
| Published in |
Research on Child and Adolescent Psychopathology, July 2018
|
| DOI | 10.1007/s10802-018-0457-z |
| Pubmed ID | |
| Authors |
Nicoletta Adamo, John Hodsoll, Philip Asherson, Jan K. Buitelaar, Jonna Kuntsi |
| Abstract |
Both attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have been linked to increased reaction time variability (RTV), a marker of attentional fluctuation. Here we test whether specificity to either trait emerges when we examine (1) detailed ex-Gaussian and frequency RTV subcomponents, (2) effects while controlling for the other trait and (3) improvement in the RTV measures following rewards or a faster event rate. 1110 children aged 7-10 years from a population-based sample completed a Go/No-Go task under three conditions (slow, fast and incentives). We measured RTV with standard deviation of RT (SDRT), ex-Gaussian distribution measures (Sigma and Tau), RT fluctuations in cycles of ~14-90 s in all conditions (Slow-4 and Slow-5), and RT fluctuations in cycles of 2-14 s in the fast condition (Slow-2 and Slow-3). Parent-rated ADHD and ASD traits were obtained. All refined RTV components were linked to ADHD traits only and not to ASD traits, while Sigma did not relate to either trait. Although both ADHD and ASD social-communication traits were associated with SDRT, the association with social-communication impairments disappeared when controlling for ADHD traits. A reward-induced improvement in RTV measures, indicating malleability, emerged in relation to ADHD traits but not ASD traits. Under closer inspection, specificity emerges of high RTV to ADHD traits. For the clinician, our findings indicate that attentional fluctuation in children with high ASD traits may be due to co-occurring ADHD traits and emphasise how the effectiveness of rewards does not generalise from ADHD to ASD traits. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 50% |
| United States | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 13% |
| Researcher | 9 | 11% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 29 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 22 | 26% |
| Medicine and Dentistry | 9 | 11% |
| Neuroscience | 9 | 11% |
| Social Sciences | 4 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 32 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2022.
All research outputs
#4,654,210
of 25,385,509 outputs
Outputs from Research on Child and Adolescent Psychopathology
#465
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Outputs of similar age
#82,348
of 340,393 outputs
Outputs of similar age from Research on Child and Adolescent Psychopathology
#11
of 19 outputs
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