IntroductionAttention-deficit/hyperactivity disorder (ADHD) is characterized by a pervasive pattern of age-inappropriate inattentive behaviour and/or impulsiveness and hyperactivity. Although ADHD is often viewed as a childhood disorder, it also affects 2.5% of adults, 1 which has profound negative implications for the patients themselves, their social environment and society. The pathophysiology of ADHD is still poorly understood owing in part to its substantial clinical and etiological heterogeneity. Increased response time variability (RTV) is one of the most common characteristics of patients with ADHD. Response time variability is the moment-to-moment fluctuation of performance in neuropsychological response time experiments and has been found to be increased in patients with ADHD across a number of different experimental paradigms, including sustained attention, flanker interference and working memory tasks (for reviews see the studies by Tamm and colleagues 3 and Kofler and colleagues 4 ). Recent studies suggest that increased performance variability in patients with ADHD might be a neurocognitive marker and may serve as a potential endophenotype for this disorder. 5,6 In addition to capturing RTV through standard deviation (SD) of response time (RT), other quantitative measures of RTV have also been reported. The exponentially modified Gaussian (ex-Gaussian) method, for example, provides quantification of the shapes of Background: Response time variability (RTV) is consistently increased in patients with attention-deficit/hyperactivity disorder (ADHD). A right-hemispheric frontoparietal attention network model has been implicated in these patients. The 3 main connecting fibre tracts in this network, the superior longitudinal fasciculus (SLF), inferior longitudinal fasciculus (ILF) and the cingulum bundle (CB), show microstructural abnormalities in patients with ADHD. We hypothesized that the microstructural integrity of the 3 white matter tracts of this network are associated with ADHD and RTV. Methods: We examined RTV in adults with ADHD by modelling the reaction time distribution as an exponentially modified Gaussian (ex-Gaussian) function with the parameters μ, σ and τ, the latter of which has been attributed to lapses of attention. We assessed adults with ADHD and healthy controls using a sustained attention task. Diffusion tensor imaging-derived fractional anisotropy (FA) values were determined to quantify bilateral microstructural integrity of the tracts of interest. Results: We included 100 adults with ADHD and 96 controls in our study. Increased τ was associated with ADHD diagnosis and was linked to symptoms of inattention. An inverse correlation of τ with mean FA was seen in the right SLF of patients with ADHD, but no direct association between the mean FA of the 6 regions of interest with ADHD could be observed. Limitations: Regions of interest were defined a priori based on the attentional network model for ADHD and thus we might have missed effects in other networks. Conclusion: This stud...