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Characterizing heterogeneity in children with and without ADHD based on reward system connectivity

One potential obstacle limiting our ability to clarify ADHD etiology is the heterogeneity within the disorder, as well as in typical samples. In this study, we utilized a community detection approach on 106 children with and without ADHD (aged 7–12 years), in order to identify potential subgroups of...

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Autores principales: Costa Dias, Taciana G., Iyer, Swathi P., Carpenter, Samuel D., Cary, Robert P., Wilson, Vanessa B., Mitchell, Suzanne H., Nigg, Joel T., Fair, Damien A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373624/
https://www.ncbi.nlm.nih.gov/pubmed/25660033
http://dx.doi.org/10.1016/j.dcn.2014.12.005
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author Costa Dias, Taciana G.
Iyer, Swathi P.
Carpenter, Samuel D.
Cary, Robert P.
Wilson, Vanessa B.
Mitchell, Suzanne H.
Nigg, Joel T.
Fair, Damien A.
author_facet Costa Dias, Taciana G.
Iyer, Swathi P.
Carpenter, Samuel D.
Cary, Robert P.
Wilson, Vanessa B.
Mitchell, Suzanne H.
Nigg, Joel T.
Fair, Damien A.
author_sort Costa Dias, Taciana G.
collection PubMed
description One potential obstacle limiting our ability to clarify ADHD etiology is the heterogeneity within the disorder, as well as in typical samples. In this study, we utilized a community detection approach on 106 children with and without ADHD (aged 7–12 years), in order to identify potential subgroups of participants based on the connectivity of the reward system. Children with ADHD were compared to typically developing children within each identified community, aiming to find the community-specific ADHD characteristics. Furthermore, to assess how the organization in subgroups relates to behavior, we evaluated delay-discounting gradient and impulsivity-related temperament traits within each community. We found that discrete subgroups were identified that characterized distinct connectivity profiles in the reward system. Importantly, which connections were atypical in ADHD relative to the control children were specific to the community membership. Our findings showed that children with ADHD and typically developing children could be classified into distinct subgroups according to brain functional connectivity. Results also suggested that the differentiation in “functional” subgroups is related to specific behavioral characteristics, in this case impulsivity. Thus, combining neuroimaging data and community detection might be a valuable approach to elucidate heterogeneity in ADHD etiology and examine ADHD neurobiology.
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spelling pubmed-43736242016-01-31 Characterizing heterogeneity in children with and without ADHD based on reward system connectivity Costa Dias, Taciana G. Iyer, Swathi P. Carpenter, Samuel D. Cary, Robert P. Wilson, Vanessa B. Mitchell, Suzanne H. Nigg, Joel T. Fair, Damien A. Dev Cogn Neurosci Original Research One potential obstacle limiting our ability to clarify ADHD etiology is the heterogeneity within the disorder, as well as in typical samples. In this study, we utilized a community detection approach on 106 children with and without ADHD (aged 7–12 years), in order to identify potential subgroups of participants based on the connectivity of the reward system. Children with ADHD were compared to typically developing children within each identified community, aiming to find the community-specific ADHD characteristics. Furthermore, to assess how the organization in subgroups relates to behavior, we evaluated delay-discounting gradient and impulsivity-related temperament traits within each community. We found that discrete subgroups were identified that characterized distinct connectivity profiles in the reward system. Importantly, which connections were atypical in ADHD relative to the control children were specific to the community membership. Our findings showed that children with ADHD and typically developing children could be classified into distinct subgroups according to brain functional connectivity. Results also suggested that the differentiation in “functional” subgroups is related to specific behavioral characteristics, in this case impulsivity. Thus, combining neuroimaging data and community detection might be a valuable approach to elucidate heterogeneity in ADHD etiology and examine ADHD neurobiology. Elsevier 2015-02-03 /pmc/articles/PMC4373624/ /pubmed/25660033 http://dx.doi.org/10.1016/j.dcn.2014.12.005 Text en © 2015 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 Original Research
Costa Dias, Taciana G.
Iyer, Swathi P.
Carpenter, Samuel D.
Cary, Robert P.
Wilson, Vanessa B.
Mitchell, Suzanne H.
Nigg, Joel T.
Fair, Damien A.
Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
title Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
title_full Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
title_fullStr Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
title_full_unstemmed Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
title_short Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
title_sort characterizing heterogeneity in children with and without adhd based on reward system connectivity
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373624/
https://www.ncbi.nlm.nih.gov/pubmed/25660033
http://dx.doi.org/10.1016/j.dcn.2014.12.005
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