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

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 introducin...

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Autores principales: Wolfers, Thomas, Beckmann, Christian F., Hoogman, Martine, Buitelaar, Jan K., Franke, Barbara, Marquand, Andre F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083555/
https://www.ncbi.nlm.nih.gov/pubmed/30782224
http://dx.doi.org/10.1017/S0033291719000084
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author Wolfers, Thomas
Beckmann, Christian F.
Hoogman, Martine
Buitelaar, Jan K.
Franke, Barbara
Marquand, Andre F.
author_facet Wolfers, Thomas
Beckmann, Christian F.
Hoogman, Martine
Buitelaar, Jan K.
Franke, Barbara
Marquand, Andre F.
author_sort Wolfers, Thomas
collection PubMed
description 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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spelling pubmed-70835552020-03-25 Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models Wolfers, Thomas Beckmann, Christian F. Hoogman, Martine Buitelaar, Jan K. Franke, Barbara Marquand, Andre F. Psychol Med Original Articles 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. Cambridge University Press 2019-02-14 /pmc/articles/PMC7083555/ /pubmed/30782224 http://dx.doi.org/10.1017/S0033291719000084 Text en © Cambridge University Press 2019 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/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.
spellingShingle Original Articles
Wolfers, Thomas
Beckmann, Christian F.
Hoogman, Martine
Buitelaar, Jan K.
Franke, Barbara
Marquand, Andre F.
Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
title Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
title_full Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
title_fullStr Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
title_full_unstemmed Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
title_short Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
title_sort individual differences v. the average patient: mapping the heterogeneity in adhd using normative models
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083555/
https://www.ncbi.nlm.nih.gov/pubmed/30782224
http://dx.doi.org/10.1017/S0033291719000084
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