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Lower white matter microstructure in the superior longitudinal fasciculus is associated with increased response time
Thomas Wolfers1, A Marten H Onnink1, Marcel P Zwiers1
1From the Department of Human Genetics, Radboud University Medical Center (Wolfers, Arias-Vasquez, Mostert, Franke); the Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center ( Onnink, Arias-Vasquez, Hoogman, Kan, Franke); the Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University (Wolfers, Zwiers, Mostert); the Department of Cognitive Neurosciences, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center (Arias-Vasquez, Buitelaar); and the Karakter Child and Adolescent Psychiatry University Centre (Slaats-Willemse, Buitelaar), Nijmegen, the Netherlands.
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 study suggests that reduced microstructural integrity of the right SLF is associated with elevated τ in patients with ADHD.
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