Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression
There is a pressing need to further our understanding of the mechanisms underlying the depression symptoms in patients with post-stroke depression (PSD) in order to inform targeted therapeutic approaches. While previous research has demonstrated a reorganization in the functional brain network of PS...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-07-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2019.00776/full |
| _version_ | 1811214037141159936 |
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| author | Xiaopei Xu Rui Tang Luping Zhang Zhijian Cao |
| author_facet | Xiaopei Xu Rui Tang Luping Zhang Zhijian Cao |
| author_sort | Xiaopei Xu |
| collection | DOAJ |
| description | There is a pressing need to further our understanding of the mechanisms underlying the depression symptoms in patients with post-stroke depression (PSD) in order to inform targeted therapeutic approaches. While previous research has demonstrated a reorganization in the functional brain network of PSD, it remains uncertain whether, or not it also occurs in the structural brain network. We therefore aim to investigate the structural brain network of patients with PSD as compared to post-stroke non-depression (PSND) patients. In addition, our research considers the relationship between network metrics and functional measurements. Thirty-one PSD patients and twenty-three PSND patients were recruited. All patients underwent MRI and functional assessments, including the Barthel index, mini-mental state examination (MMSE), and Hamilton depression rating scale (HAMD). Diffusion tensor imaging was used to construct the structural brain network and to conduct the subsequent graph theoretical analysis. Network measures were computed and compared between PSD and PSND patients. Associations between functional assessments and network measures were studied as well. We successfully detected increased global and local efficiency in patients with PSD. Regions with disrupted local connections were located primarily in the cognitive and limbic systems. More importantly, PSD patients’ global and regional network measures were associated with depression severity, as measured by HAMD. These findings suggest that disrupted global and local network topologies might contribute to PSD patients’ depression symptoms. Therefore, connectome-based network measures could be potential bio-markers for evaluating stroke patients’ depression levels. |
| first_indexed | 2024-04-12T05:56:29Z |
| format | Article |
| id | doaj.art-d86295391e00492dbbb1e2ef4769d4be |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-12T05:56:29Z |
| publishDate | 2019-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-d86295391e00492dbbb1e2ef4769d4be2022-12-22T03:45:08ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-07-011310.3389/fnins.2019.00776460143Altered Topology of the Structural Brain Network in Patients With Post-stroke DepressionXiaopei Xu0Rui Tang1Luping Zhang2Zhijian Cao3Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, ChinaThere is a pressing need to further our understanding of the mechanisms underlying the depression symptoms in patients with post-stroke depression (PSD) in order to inform targeted therapeutic approaches. While previous research has demonstrated a reorganization in the functional brain network of PSD, it remains uncertain whether, or not it also occurs in the structural brain network. We therefore aim to investigate the structural brain network of patients with PSD as compared to post-stroke non-depression (PSND) patients. In addition, our research considers the relationship between network metrics and functional measurements. Thirty-one PSD patients and twenty-three PSND patients were recruited. All patients underwent MRI and functional assessments, including the Barthel index, mini-mental state examination (MMSE), and Hamilton depression rating scale (HAMD). Diffusion tensor imaging was used to construct the structural brain network and to conduct the subsequent graph theoretical analysis. Network measures were computed and compared between PSD and PSND patients. Associations between functional assessments and network measures were studied as well. We successfully detected increased global and local efficiency in patients with PSD. Regions with disrupted local connections were located primarily in the cognitive and limbic systems. More importantly, PSD patients’ global and regional network measures were associated with depression severity, as measured by HAMD. These findings suggest that disrupted global and local network topologies might contribute to PSD patients’ depression symptoms. Therefore, connectome-based network measures could be potential bio-markers for evaluating stroke patients’ depression levels.https://www.frontiersin.org/article/10.3389/fnins.2019.00776/fullpost-stroke depressionbrain networknetwork analysissmall-worlddiffusion tensor imaging |
| spellingShingle | Xiaopei Xu Rui Tang Luping Zhang Zhijian Cao Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression Frontiers in Neuroscience post-stroke depression brain network network analysis small-world diffusion tensor imaging |
| title | Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression |
| title_full | Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression |
| title_fullStr | Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression |
| title_full_unstemmed | Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression |
| title_short | Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression |
| title_sort | altered topology of the structural brain network in patients with post stroke depression |
| topic | post-stroke depression brain network network analysis small-world diffusion tensor imaging |
| url | https://www.frontiersin.org/article/10.3389/fnins.2019.00776/full |
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