Attention-deficit/hyperactivity disorder (ADHD) is a widely studied neurodevelopmental disorder. It is a highly heterogeneous condition, encompassing different types of expression. The predominantly inattentive type is the most prevalent and the most stable over the lifetime, yet it is the least-studied presentation. To increase understanding of its cognitive profile, 29 children with attention-deficit/hyperactivity disorder of predominantly inattentive type (ADHD-I) and 29 matched controls, aged 7–15 years, had their attentional abilities assessed through the Conners’ continuous performance test. Diffusion tensor imaging data were collected for all of the participants using a 3.0-T MRI system. Fractional anisotropy (FA) values were obtained for 20 fiber tracts, and brain-behavior correlations were calculated for 42 of the children. The ADHD-I children differed significantly from the typically developing (TD) children with respect to attentional measures, such as the ability to maintain response-time consistency throughout the task (Hit RT SE and Variability), vigilance (Hit RT ISI and Hit RT ISI SE), processing speed (Hit RT), selective attention (Omissions), sustained attention (Hit RT Block Change), error profile (Response Style), and inhibitory control (Perseverations). Evidence of significant differences between the ADHD-I and the TD participants was not found with respect to the mean FA values in the fiber tracts analyzed. Moderate and strong correlations between performance on the attention indicators and the tract-average FA values were found for the ADHD-I group. Our results contribute to a better characterization of the attentional profile of ADHD-I individuals and suggest that in children and adolescents with ADHD-I, attentional performance is mainly associated with the white matter structure of the long associative fibers that connect anterior–posterior brain areas.

Background There is very little research on the cognitive profile of young children with Williams syndrome (WS). Method The present study utilised the Differential Ability Scales – Second Edition to examine the early cognitive abilities of 22 young children with WS (aged 3.98 to 7.70 years, 10 male and 12 female participants). Results Overall, IQ ranged from 38 (severely impaired) to 81.00 (low average). Consistent with Mervis et al. who looked at an older sample, over half (59.08%) of our young WS sample showed a significant and abnormal weakness in spatial ability relative to verbal ability. Moreover, 81.82% showed a significant and clinically unusual weakness in spatial ability relative to nonverbal reasoning ability. At the subtest level, only 4.55% of our sample showed a significant strength in naming vocabulary compared with verbal comprehension, while 13.64% showed a significant weakness in naming vocabulary relative to verbal comprehension. Conclusions The results of the present study show cognitive heterogeneity, consistent with the literature on older children and adults with WS. There were variable levels of intellect and variable patterns of cognitive strength and weakness across both index and subtest scores. Findings highlight the need for individual assessment and management of young children with WS but also indicate that for the majority of WS individuals spatial skills are indeed an area of significant and abnormal weakness and should be a focus for early intervention.

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This study aimed to explore attentional patterns among children with inattentive attention-deficit/hyperactivity disorder (ADHD-I) and children with typical development (TD), using a latent class analysis (LCA). Patterns of brain connectivity were also explored. The sample comprised 29 ADHD-I and 29 TD matched children. An LCA was conducted to reclassify subjects according to their attentional performance, considering cognitive measures of attention and behavioral symptoms, regardless of group of origin. The new clusters were then compared in respect to brain white matter measurements (extracted from diffusion tensor imaging). Participants were rearranged in 2 new latent classes, according to their performance in an attention task and the results of behavioral scales, resulting in groups with more homogeneous attentional profiles. A comparison of the 2 new classes using the white matter measurements revealed increased fractional anisotropy in the left inferior fronto-occipital fasciculus and left inferior longitudinal fasciculus for the class composed by participants with a higher risk of attentional problems. The findings indicated that it was possible to observe variability regarding neuropsychological profile, accompanied by underpinning neurobiological differences, even among individuals with the same disorder subtype - inattentive ADHD. This specific data-driven clustering analysis may help to enhance understanding of the pathophysiology of the disorder's phenotypes.

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