Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder
Obsessive-compulsive disorder (OCD) may be accompanied by an accelerated structural decline of the brain with age compared to healthy controls (HCs); however, this has yet to be proven. To answer this question, we built a brain age prediction model using mean gray matter volumes of each brain region...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.852479/full |
| _version_ | 1818028556122324992 |
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| author | Liang Liu Junhong Liu Li Yang Baohong Wen Xiaopan Zhang Junying Cheng Shaoqiang Han Yong Zhang Jingliang Cheng |
| author_facet | Liang Liu Junhong Liu Li Yang Baohong Wen Xiaopan Zhang Junying Cheng Shaoqiang Han Yong Zhang Jingliang Cheng |
| author_sort | Liang Liu |
| collection | DOAJ |
| description | Obsessive-compulsive disorder (OCD) may be accompanied by an accelerated structural decline of the brain with age compared to healthy controls (HCs); however, this has yet to be proven. To answer this question, we built a brain age prediction model using mean gray matter volumes of each brain region as features, which were obtained by voxel-based morphometry derived from T1-weighted MRI scans. The prediction model was built using two Chinese Han datasets (dataset 1, N = 106 for HCs and N = 90 for patients with OCD; dataset 2, N = 270 for HCs) to evaluate its performance. Then, a new prediction model was trained using data for HCs in dataset 1 and applied to patients with OCD to investigate the brain aging trajectory. The brain-predicted age difference (brain-PAD) scores, defined as the difference between predicted brain age and chronological age, were calculated for all participants and compared between patients with matched HCs in dataset 1. It was demonstrated that the prediction model performs consistently across different datasets. Patients with OCD presented higher brain-PAD scores than matched HCs, suggesting that patients with OCD presented accelerated brain aging. In addition, brain-PAD scores were negatively correlated with the duration of illness, suggesting that brain-PAD scores might capture progressive structural brain changes. These results identified accelerated brain aging in patients with OCD for the first time and deepened our understanding of the pathogenesis of OCD. |
| first_indexed | 2024-12-10T05:05:40Z |
| format | Article |
| id | doaj.art-ea66fbccce704689b888578c46b77383 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-12-10T05:05:40Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-ea66fbccce704689b888578c46b773832022-12-22T02:01:16ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-05-011310.3389/fpsyt.2022.852479852479Accelerated Brain Aging in Patients With Obsessive-Compulsive DisorderLiang Liu0Junhong Liu1Li Yang2Baohong Wen3Xiaopan Zhang4Junying Cheng5Shaoqiang Han6Yong Zhang7Jingliang Cheng8Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Public Health, School of Medicine, Huanghuai University, Zhumadian, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaObsessive-compulsive disorder (OCD) may be accompanied by an accelerated structural decline of the brain with age compared to healthy controls (HCs); however, this has yet to be proven. To answer this question, we built a brain age prediction model using mean gray matter volumes of each brain region as features, which were obtained by voxel-based morphometry derived from T1-weighted MRI scans. The prediction model was built using two Chinese Han datasets (dataset 1, N = 106 for HCs and N = 90 for patients with OCD; dataset 2, N = 270 for HCs) to evaluate its performance. Then, a new prediction model was trained using data for HCs in dataset 1 and applied to patients with OCD to investigate the brain aging trajectory. The brain-predicted age difference (brain-PAD) scores, defined as the difference between predicted brain age and chronological age, were calculated for all participants and compared between patients with matched HCs in dataset 1. It was demonstrated that the prediction model performs consistently across different datasets. Patients with OCD presented higher brain-PAD scores than matched HCs, suggesting that patients with OCD presented accelerated brain aging. In addition, brain-PAD scores were negatively correlated with the duration of illness, suggesting that brain-PAD scores might capture progressive structural brain changes. These results identified accelerated brain aging in patients with OCD for the first time and deepened our understanding of the pathogenesis of OCD.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.852479/fullobsessive-compulsive disorderbrain agestructural brain imagingmachine learninggray matter volume (GMV) |
| spellingShingle | Liang Liu Junhong Liu Li Yang Baohong Wen Xiaopan Zhang Junying Cheng Shaoqiang Han Yong Zhang Jingliang Cheng Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder Frontiers in Psychiatry obsessive-compulsive disorder brain age structural brain imaging machine learning gray matter volume (GMV) |
| title | Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder |
| title_full | Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder |
| title_fullStr | Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder |
| title_full_unstemmed | Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder |
| title_short | Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder |
| title_sort | accelerated brain aging in patients with obsessive compulsive disorder |
| topic | obsessive-compulsive disorder brain age structural brain imaging machine learning gray matter volume (GMV) |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.852479/full |
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