基于机器学习的抑郁症脑网络连接特征分型对抗抑郁剂的疗效预测研究
81801349
2018
H1007.心境障碍
尹营营
青年科学基金项目
医师
东南大学
21万元
疗效预测;抑郁症;静息态功能磁共振;抗抑郁剂;机器学习
2019-01-01到2021-12-31
- 中英文摘要
- 结题摘要
- 结题报告
- 项目成果
- 项目参与人
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| 序号 | 标题 | 类型 | 作者 |
|---|---|---|---|
| 1 | Identification of first-episode unmedicated major depressive disorder using pretreatment features of dominant coactivation patterns | 期刊论文 | Hou Zhenghua;Kong Youyong;Yin Yingying;Zhang Yuqun;Yuan Yonggui |
| 2 | CACNA1C Gene rs11832738 Polymorphism Influences Depression Severity by Modulating Spontaneous Activity in the Right Middle Frontal Gyrus in Patients With Major Depressive Disorder | 期刊论文 | Liu Xiaoyun;Hou Zhenghua;Yin Yingying;Xie Chunming;Zhang Haisan;Zhang Hongxing;Zhang Zhijun;Yuan Yonggui |
| 3 | Decreased cerebral blood flow in the primary motor cortex in major depressive disorder with psychomotor retardation | 期刊论文 | Yin Yingying;Wang Meijian;Wang Ze;Xie Chunming;Zhang Haisan;Zhang Hongxing;Zhang Zhijun;Yuan Yonggui |
| 4 | Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants | 期刊论文 | Zhenghua Hou;Tong Li;Xiaofu He;Yuqun Zhang;Huanxin Chen;Yingying Yin;Yonggui Yuan |
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