| 基于任务态和静息态功能核磁共振信号的抑郁症识别 |
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| 引用本文： | 刘刚,江海腾,刘海燕,王丽,姚志剑,卢青.基于任务态和静息态功能核磁共振信号的抑郁症识别[J].东南大学学报(自然科学版),2011,41(1):67-71. |
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| 作者姓名： | 刘刚 江海腾 刘海燕 王丽 姚志剑 卢青 |
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| 作者单位： | 东南大学学习科学研究中心;南京医科大学附属南京脑科医院; |
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| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2008AA02Z410); 国家自然科学基金资助项目(30900356); 教育部博士点新进教师基金资助项目(200802861079) |
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| 摘 要： | 为了提高抑郁症识别的准确率,将功能核磁共振成像的任务态数据和静息态数据相结合,建立基于数据驱动的模型以提取识别特征.在没有任何先验知识的条件下,采用独立成分分析法提取任务态数据和静息态数据的独立成分;然后,利用相关遍历分析法获取功能信号集,利用频谱分析法识别并获取功能信号成分;最后,将功能信号成分作为贝叶斯分类器的特征...
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| 关 键 词： | 抑郁症 分类 功能核磁共振 功能信号成分 相关分析 频谱分析 |
Recognition of depression using event-related and resting-state functional magnetic resonance signals |
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| Liu Gang,Jiang Haiteng,Liu Haiyan,Wang Li,Yao Zhijian,Lu Qing.Recognition of depression using event-related and resting-state functional magnetic resonance signals[J].Journal of Southeast University(Natural Science Edition),2011,41(1):67-71. |
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| Authors: | Liu Gang Jiang Haiteng Liu Haiyan Wang Li Yao Zhijian Lu Qing |
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| Institution: | Liu Gang1 Jiang Haiteng1 Liu Haiyan2 Wang Li2 Yao Zhijian2 Lu Qing1(1Research Center for Learning Science,Southeast University,Nanjing 210096,China)(2Nanjing Brain Hospital,Nanjing Medical University,Nanjing 210029,China) |
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| Abstract: | In order to improve the recognition accuracy of depression,event-related data and resting-state data in functional magnetic resonance imaging(fMRI) are collaborated and a data-driven model is modeled to extract recognition features.Without any priori knowledge,the component analysis(ICA) is adopted to extract the independent components of the event-related data and resting-state data.Then correlation analysis and spectrum analysis between independent components are used to find the components with major con... |
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| Keywords: | depression classification functional magnetic resonance imaging(fMRI) functional activation related components correlation analysis spectrum analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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