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Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD

BACKGROUND: Despite the effectiveness of methylphenidate for treating ADHD, up to 30% of individuals with ADHD show poor responses to methylphenidate. Neuroimaging biomarkers to predict medication responses remain elusive. This study characterized neuroanatomical features that differentiated between...

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Autores principales: Chang, Jung-Chi, Lin, Hsiang-Yuan, Lv, Junglei, Tseng, Wen-Yih Issac, Gau, Susan Shur-Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798216/
https://www.ncbi.nlm.nih.gov/pubmed/33430830
http://dx.doi.org/10.1186/s12888-021-03040-5
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author Chang, Jung-Chi
Lin, Hsiang-Yuan
Lv, Junglei
Tseng, Wen-Yih Issac
Gau, Susan Shur-Fen
author_facet Chang, Jung-Chi
Lin, Hsiang-Yuan
Lv, Junglei
Tseng, Wen-Yih Issac
Gau, Susan Shur-Fen
author_sort Chang, Jung-Chi
collection PubMed
description BACKGROUND: Despite the effectiveness of methylphenidate for treating ADHD, up to 30% of individuals with ADHD show poor responses to methylphenidate. Neuroimaging biomarkers to predict medication responses remain elusive. This study characterized neuroanatomical features that differentiated between clinically good and poor methylphenidate responders with ADHD. METHODS: Using a naturalistic observation design selected from a larger cohort, we included 79 drug-naive individuals (aged 6–42 years) with ADHD without major psychiatric comorbidity, who had acceptable baseline structural MRI data quality. Based on a retrospective chart review, we defined responders by individuals’ responses to at least one-month treatment with methylphenidate. A nonparametric mass-univariate voxel-based morphometric analysis was used to compare regional gray matter volume differences between good and poor responders. A multivariate pattern recognition based on the support vector machine was further implemented to identify neuroanatomical indicators to predict an individual’s response. RESULTS: 63 and 16 individuals were classified in the good and poor responder group, respectively. Using the small-volume correction procedure based on the hypothesis-driven striatal and default-mode network masks, poor responders had smaller regional volumes of the left putamen as well as larger precuneus volumes compared to good responders at baseline. The machine learning approach identified that volumetric information among these two regions alongside the left frontoparietal regions, occipital lobes, and posterior/inferior cerebellum could predict clinical responses to methylphenidate in individuals with ADHD. CONCLUSION: Our results suggest regional striatal and precuneus gray matter volumes play a critical role in mediating treatment responses in individuals with ADHD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03040-5.
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spelling pubmed-77982162021-01-11 Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD Chang, Jung-Chi Lin, Hsiang-Yuan Lv, Junglei Tseng, Wen-Yih Issac Gau, Susan Shur-Fen BMC Psychiatry Research Article BACKGROUND: Despite the effectiveness of methylphenidate for treating ADHD, up to 30% of individuals with ADHD show poor responses to methylphenidate. Neuroimaging biomarkers to predict medication responses remain elusive. This study characterized neuroanatomical features that differentiated between clinically good and poor methylphenidate responders with ADHD. METHODS: Using a naturalistic observation design selected from a larger cohort, we included 79 drug-naive individuals (aged 6–42 years) with ADHD without major psychiatric comorbidity, who had acceptable baseline structural MRI data quality. Based on a retrospective chart review, we defined responders by individuals’ responses to at least one-month treatment with methylphenidate. A nonparametric mass-univariate voxel-based morphometric analysis was used to compare regional gray matter volume differences between good and poor responders. A multivariate pattern recognition based on the support vector machine was further implemented to identify neuroanatomical indicators to predict an individual’s response. RESULTS: 63 and 16 individuals were classified in the good and poor responder group, respectively. Using the small-volume correction procedure based on the hypothesis-driven striatal and default-mode network masks, poor responders had smaller regional volumes of the left putamen as well as larger precuneus volumes compared to good responders at baseline. The machine learning approach identified that volumetric information among these two regions alongside the left frontoparietal regions, occipital lobes, and posterior/inferior cerebellum could predict clinical responses to methylphenidate in individuals with ADHD. CONCLUSION: Our results suggest regional striatal and precuneus gray matter volumes play a critical role in mediating treatment responses in individuals with ADHD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03040-5. BioMed Central 2021-01-11 /pmc/articles/PMC7798216/ /pubmed/33430830 http://dx.doi.org/10.1186/s12888-021-03040-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chang, Jung-Chi
Lin, Hsiang-Yuan
Lv, Junglei
Tseng, Wen-Yih Issac
Gau, Susan Shur-Fen
Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD
title Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD
title_full Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD
title_fullStr Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD
title_full_unstemmed Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD
title_short Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD
title_sort regional brain volume predicts response to methylphenidate treatment in individuals with adhd
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798216/
https://www.ncbi.nlm.nih.gov/pubmed/33430830
http://dx.doi.org/10.1186/s12888-021-03040-5
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