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Neuropsychological Profiles and Behavioral Ratings in ADHD Overlap Only in the Dimension of Syndrome Severity
Author(s) -
Ádám Takács,
Andrea Kóbor,
Zsanett Tárnok,
András Vargha
Publication year - 2014
Publication title -
advances in psychiatry
Language(s) - English
Resource type - Journals
eISSN - 2356-685X
pISSN - 2314-7768
DOI - 10.1155/2014/502685
Subject(s) - algorithm , neuropsychology , neuropsychological assessment , artificial intelligence , attention deficit hyperactivity disorder , machine learning , psychology , computer science , cognition , clinical psychology , psychiatry
Objectives. The aim of this study was to compare the cognitive neuropsychological and the behavioral rating profiles of attention deficit/hyperactivity disorder (ADHD). Methods. Forty-two children diagnosed with ADHD (  years, ) and 43 typically developing children ( years, ) participated. We measured symptom severity with behavioral rating scales, and we administered neuropsychological tasks to measure inhibitory performance, updating/working memory, and shifting ability. Results. On the basis of the three neuropsychological variables, the hierarchical cluster analytic method yielded a six-cluster structure. The clusters, according to the severity of the impairment, were labeled as follows: none or few symptoms, Moderate inhibition and mild shifting, moderate to severe shifting with moderate updating, moderate updating, severe updating with mild shifting, and severe updating with severe shifting. There were no systematic differences in inattention and hyperactive-impulsive behavior across the clusters. The comorbid learning disorder appeared more likely only in severe neuropsychological forms of ADHD. Conclusion. In sum, our results suggest that behavioral ratings and neuropsychological profiles converge only in the dimension of symptom severity and that atypicalities in executive functions may manifest in nonspecific everyday problems.

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