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Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder

INTRODUCTION: Attention-deficit hyperactive disorder (ADHD) is the most common neurodevelopmental disorder in children. Diagnosis is currently based on behavioral criteria, but magnetic resonance imaging (MRI) of the brain is increasingly used in ADHD research. To date however, MRI studies have prov...

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Autores principales: Douglas, P.K., Gutman, Boris, Anderson, Ariana, Larios, C., Lawrence, Katherine E., Narr, Katherine, Sengupta, Biswa, Cooray, Gerald, Douglas, David B., Thompson, Paul M., McGough, James J., Bookheimer, Susan Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988460/
https://www.ncbi.nlm.nih.gov/pubmed/29876263
http://dx.doi.org/10.1016/j.nicl.2018.02.020
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author Douglas, P.K.
Gutman, Boris
Anderson, Ariana
Larios, C.
Lawrence, Katherine E.
Narr, Katherine
Sengupta, Biswa
Cooray, Gerald
Douglas, David B.
Thompson, Paul M.
McGough, James J.
Bookheimer, Susan Y.
author_facet Douglas, P.K.
Gutman, Boris
Anderson, Ariana
Larios, C.
Lawrence, Katherine E.
Narr, Katherine
Sengupta, Biswa
Cooray, Gerald
Douglas, David B.
Thompson, Paul M.
McGough, James J.
Bookheimer, Susan Y.
author_sort Douglas, P.K.
collection PubMed
description INTRODUCTION: Attention-deficit hyperactive disorder (ADHD) is the most common neurodevelopmental disorder in children. Diagnosis is currently based on behavioral criteria, but magnetic resonance imaging (MRI) of the brain is increasingly used in ADHD research. To date however, MRI studies have provided mixed results in ADHD patients, particularly with respect to the laterality of findings. METHODS: We studied 849 children and adolescents (ages 6–21 y.o.) diagnosed with ADHD (n = 341) and age-matched typically developing (TD) controls with structural brain MRI. We calculated volumetric measures from 34 cortical and 14 non-cortical brain regions per hemisphere, and detailed shape morphometry of subcortical nuclei. Diffusion tensor imaging (DTI) data were collected for a subset of 104 subjects; from these, we calculated mean diffusivity and fractional anisotropy of white matter tracts. Group comparisons were made for within-hemisphere (right/left) and between hemisphere asymmetry indices (AI) for each measure. RESULTS: DTI mean diffusivity AI group differences were significant in cingulum, inferior and superior longitudinal fasciculus, and cortico-spinal tracts (p < 0.001) with the effect of stimulant treatment tending to reduce these patterns of asymmetry differences. Gray matter volumes were more asymmetric in medication free ADHD individuals compared to TD in twelve cortical regions and two non-cortical volumes studied (p < 0.05). Morphometric analyses revealed that caudate, hippocampus, thalamus, and amygdala were more asymmetric (p < 0.0001) in ADHD individuals compared to TD, and that asymmetry differences were more significant than lateralized comparisons. CONCLUSIONS: Brain asymmetry measures allow each individual to serve as their own control, diminishing variability between individuals and when pooling data across sites. Asymmetry group differences were more significant than lateralized comparisons between ADHD and TD subjects across morphometric, volumetric, and DTI comparisons.
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spelling pubmed-59884602018-06-06 Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder Douglas, P.K. Gutman, Boris Anderson, Ariana Larios, C. Lawrence, Katherine E. Narr, Katherine Sengupta, Biswa Cooray, Gerald Douglas, David B. Thompson, Paul M. McGough, James J. Bookheimer, Susan Y. Neuroimage Clin Regular Article INTRODUCTION: Attention-deficit hyperactive disorder (ADHD) is the most common neurodevelopmental disorder in children. Diagnosis is currently based on behavioral criteria, but magnetic resonance imaging (MRI) of the brain is increasingly used in ADHD research. To date however, MRI studies have provided mixed results in ADHD patients, particularly with respect to the laterality of findings. METHODS: We studied 849 children and adolescents (ages 6–21 y.o.) diagnosed with ADHD (n = 341) and age-matched typically developing (TD) controls with structural brain MRI. We calculated volumetric measures from 34 cortical and 14 non-cortical brain regions per hemisphere, and detailed shape morphometry of subcortical nuclei. Diffusion tensor imaging (DTI) data were collected for a subset of 104 subjects; from these, we calculated mean diffusivity and fractional anisotropy of white matter tracts. Group comparisons were made for within-hemisphere (right/left) and between hemisphere asymmetry indices (AI) for each measure. RESULTS: DTI mean diffusivity AI group differences were significant in cingulum, inferior and superior longitudinal fasciculus, and cortico-spinal tracts (p < 0.001) with the effect of stimulant treatment tending to reduce these patterns of asymmetry differences. Gray matter volumes were more asymmetric in medication free ADHD individuals compared to TD in twelve cortical regions and two non-cortical volumes studied (p < 0.05). Morphometric analyses revealed that caudate, hippocampus, thalamus, and amygdala were more asymmetric (p < 0.0001) in ADHD individuals compared to TD, and that asymmetry differences were more significant than lateralized comparisons. CONCLUSIONS: Brain asymmetry measures allow each individual to serve as their own control, diminishing variability between individuals and when pooling data across sites. Asymmetry group differences were more significant than lateralized comparisons between ADHD and TD subjects across morphometric, volumetric, and DTI comparisons. Elsevier 2018-02-24 /pmc/articles/PMC5988460/ /pubmed/29876263 http://dx.doi.org/10.1016/j.nicl.2018.02.020 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Douglas, P.K.
Gutman, Boris
Anderson, Ariana
Larios, C.
Lawrence, Katherine E.
Narr, Katherine
Sengupta, Biswa
Cooray, Gerald
Douglas, David B.
Thompson, Paul M.
McGough, James J.
Bookheimer, Susan Y.
Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder
title Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder
title_full Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder
title_fullStr Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder
title_full_unstemmed Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder
title_short Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder
title_sort hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988460/
https://www.ncbi.nlm.nih.gov/pubmed/29876263
http://dx.doi.org/10.1016/j.nicl.2018.02.020
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