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      Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models

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          Abstract

          Background

          The present paper presents a fundamentally novel approach to model individual differences of persons with the same biologically heterogeneous mental disorder. Unlike prevalent case-control analyses, that assume a clear distinction between patient and control groups and thereby introducing the concept of an ‘average patient’, we describe each patient's biology individually, gaining insights into the different facets that characterize persistent attention-deficit/hyperactivity disorder (ADHD).

          Methods

          Using a normative modeling approach, we mapped inter-individual differences in reference to normative structural brain changes across the lifespan to examine the degree to which case-control analyses disguise differences between individuals.

          Results

          At the level of the individual, deviations from the normative model were frequent in persistent ADHD. However, the overlap of more than 2% between participants with ADHD was only observed in few brain loci. On average, participants with ADHD showed significantly reduced gray matter in the cerebellum and hippocampus compared to healthy individuals. While the case-control differences were in line with the literature on ADHD, individuals with ADHD only marginally reflected these group differences.

          Conclusions

          Case-control comparisons, disguise inter-individual differences in brain biology in individuals with persistent ADHD. The present results show that the ‘average ADHD patient’ has limited informative value, providing the first evidence for the necessity to explore different biological facets of ADHD at the level of the individual and practical means to achieve this end.

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          Most cited references44

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis.

            In spite of the growing literature about adult attention-deficit hyperactivity disorder (ADHD), relatively little is known about the prevalence and correlates of this disorder. To estimate the prevalence of adult ADHD and to identify its demographic correlates using meta-regression analysis. We used the MEDLINE, PsycLit and EMBASE databases as well as hand-searching to find relevant publications. The pooled prevalence of adult ADHD was 2.5% (95% CI 2.1-3.1). Gender and mean age, interacting with each other, were significantly related to prevalence of ADHD. Meta-regression analysis indicated that the proportion of participants with ADHD decreased with age when men and women were equally represented in the sample. Prevalence of ADHD in adults declines with age in the general population. We think, however, that the unclear validity of DSM-IV diagnostic criteria for this condition can lead to reduced prevalence rates by underestimation of the prevalence of adult ADHD.
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              Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation.

              There is controversy over the nature of the disturbance in brain development that underpins attention-deficit/hyperactivity disorder (ADHD). In particular, it is unclear whether the disorder results from a delay in brain maturation or whether it represents a complete deviation from the template of typical development. Using computational neuroanatomic techniques, we estimated cortical thickness at >40,000 cerebral points from 824 magnetic resonance scans acquired prospectively on 223 children with ADHD and 223 typically developing controls. With this sample size, we could define the growth trajectory of each cortical point, delineating a phase of childhood increase followed by adolescent decrease in cortical thickness (a quadratic growth model). From these trajectories, the age of attaining peak cortical thickness was derived and used as an index of cortical maturation. We found maturation to progress in a similar manner regionally in both children with and without ADHD, with primary sensory areas attaining peak cortical thickness before polymodal, high-order association areas. However, there was a marked delay in ADHD in attaining peak thickness throughout most of the cerebrum: the median age by which 50% of the cortical points attained peak thickness for this group was 10.5 years (SE 0.01), which was significantly later than the median age of 7.5 years (SE 0.02) for typically developing controls (log rank test chi(1)(2) = 5,609, P < 1.0 x 10(-20)). The delay was most prominent in prefrontal regions important for control of cognitive processes including attention and motor planning. Neuroanatomic documentation of a delay in regional cortical maturation in ADHD has not been previously reported.
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                Author and article information

                Journal
                Psychol Med
                Psychol Med
                PSM
                Psychological Medicine
                Cambridge University Press (Cambridge, UK )
                0033-2917
                1469-8978
                January 2020
                14 February 2019
                : 50
                : 2
                : 314-323
                Affiliations
                [1 ]Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center , Nijmegen, The Netherlands
                [2 ]Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University , Nijmegen, The Netherlands
                [3 ]Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center , Nijmegen, The Netherlands
                [4 ]Centre for Functional MRI of the Brain (FMRIB), University of Oxford , Oxford, UK
                [5 ]Karakter Child and Adolescent Psychiatry University Center, Radboud University Medical Center , Nijmegen, The Netherlands
                [6 ]Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center , Nijmegen, The Netherlands
                [7 ]Department of Neuroimaging, Institute of Psychiatry, King's College London , London, UK
                Author notes
                Author for correspondence: Thomas Wolfers, E-mail: t.wolfers@ 123456donders.ru.nl
                [*]

                equal contributions

                Author information
                https://orcid.org/0000-0002-7693-0621
                https://orcid.org/0000-0002-3373-3193
                https://orcid.org/0000-0002-1261-7628
                Article
                S0033291719000084
                10.1017/S0033291719000084
                7083555
                30782224
                ff0e232b-2860-482c-94f4-d5b4f01a51c5
                © Cambridge University Press 2019

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 July 2018
                : 04 January 2019
                : 08 January 2019
                Page count
                Figures: 3, Tables: 1, References: 65, Pages: 10
                Categories
                Original Articles

                Clinical Psychology & Psychiatry
                attention-deficit/hyperactivity disorder,heterogeneity,normative modeling,precision medicine

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