Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD
Abstract 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...
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| Format: | Article |
| Language: | English |
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BMC
2021-01-01
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| Series: | BMC Psychiatry |
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| Online Access: | https://doi.org/10.1186/s12888-021-03040-5 |
| _version_ | 1819298477589397504 |
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| author | Jung-Chi Chang Hsiang-Yuan Lin Junglei Lv Wen-Yih Issac Tseng Susan Shur-Fen Gau |
| author_facet | Jung-Chi Chang Hsiang-Yuan Lin Junglei Lv Wen-Yih Issac Tseng Susan Shur-Fen Gau |
| author_sort | Jung-Chi Chang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-24T05:30:31Z |
| format | Article |
| id | doaj.art-7b5cd5c98f5a4eb89e0933500a10c888 |
| institution | Directory Open Access Journal |
| issn | 1471-244X |
| language | English |
| last_indexed | 2024-12-24T05:30:31Z |
| publishDate | 2021-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Psychiatry |
| spelling | doaj.art-7b5cd5c98f5a4eb89e0933500a10c8882022-12-21T17:13:10ZengBMCBMC Psychiatry1471-244X2021-01-0121111410.1186/s12888-021-03040-5Regional brain volume predicts response to methylphenidate treatment in individuals with ADHDJung-Chi Chang0Hsiang-Yuan Lin1Junglei Lv2Wen-Yih Issac Tseng3Susan Shur-Fen Gau4Department of Psychiatry, National Taiwan University HospitalAzrieli Adult Neurodevelopmental Centre and Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental HealthSydney Imaging and School of Biomedical Engineering, University of SydneyGraduate Institute of Brain and Mind Sciences, National Taiwan University College of MedicineDepartment of Psychiatry, National Taiwan University HospitalAbstract 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.https://doi.org/10.1186/s12888-021-03040-5ADHDMethylphenidateVBMStriatumSupport vector machineTreatment response |
| spellingShingle | Jung-Chi Chang Hsiang-Yuan Lin Junglei Lv Wen-Yih Issac Tseng Susan Shur-Fen Gau Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD BMC Psychiatry ADHD Methylphenidate VBM Striatum Support vector machine Treatment response |
| 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 | ADHD Methylphenidate VBM Striatum Support vector machine Treatment response |
| url | https://doi.org/10.1186/s12888-021-03040-5 |
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