Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands

Rebecca G Vaurio, Daniel J Simmonds, Stewart H Mostofsky, Rebecca G Vaurio, Daniel J Simmonds, Stewart H Mostofsky

Abstract

One of the most consistent findings in children with ADHD is increased moment-to-moment variability in reaction time (RT). The source of increased RT variability can be examined using ex-Gaussian analyses that divide variability into normal and exponential components and Fast Fourier transform (FFT) that allow for detailed examination of the frequency of responses in the exponential distribution. Prior studies of ADHD using these methods have produced variable results, potentially related to differences in task demand. The present study sought to examine the profile of RT variability in ADHD using two Go/No-go tasks with differing levels of cognitive demand. A total of 140 children (57 with ADHD and 83 typically developing controls), ages 8-13 years, completed both a "simple" Go/No-go task and a more "complex" Go/No-go task with increased working memory load. Repeated measures ANOVA of ex-Gaussian functions revealed for both tasks children with ADHD demonstrated increased variability in both the normal/Gaussian (significantly elevated sigma) and the exponential (significantly elevated tau) components. In contrast, FFT analysis of the exponential component revealed a significant task x diagnosis interaction, such that infrequent slow responses in ADHD differed depending on task demand (i.e., for the simple task, increased power in the 0.027-0.074 Hz frequency band; for the complex task, decreased power in the 0.074-0.202 Hz band). The ex-Gaussian findings revealing increased variability in both the normal (sigma) and exponential (tau) components for the ADHD group, suggest that both impaired response preparation and infrequent "lapses in attention" contribute to increased variability in ADHD. FFT analyses reveal that the periodicity of intermittent lapses of attention in ADHD varies with task demand. The findings provide further support for intra-individual variability as a candidate intermediate endophenotype of ADHD.

Figures

Fig. 1
Fig. 1
Illustration of the components of the ex-Gaussian distribution. Significant main effects for diagnostic group and task for sigma and tau. Significant task × diagnostic group for mu (p < 0.05).
Fig. 2
Fig. 2
Illustration of the results of the FFT analyses. A significant main effect for band was seen, such that both groups of children showed increased power in the shorter wavelength bands (p < 0.001). There was also a significant task by diagnosis interaction (p = 0.04); follow-up analyses revealed that for the simple Go/No-go task, children with ADHD showed significantly increased power compared to controls in the 0.027–0.074 Hz band (p = 0.01), while in the complex task, children in the control group showed significantly increased power compared to children with ADHD in the 0.074–0.202 Hz band (p = 0.02).

Source: PubMed

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