Identifying intrinsic connectivity network pattern during propofol-induced loss of consciousness: a multivariate analysis
文献类型：会议论文
| 作者 | Li, Huandong1 ; Liu, Xiaoyuan2; Jie, Nanfeng1; Zhu, Maohu3; Jiang, Tianzi1
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| 出版日期 | 2016 |
| 会议名称 | IET International Conference on Biomedical Image and Signal Processing (ICBISP) |
| 会议日期 | 2015-11-19 |
| 会议地点 | 北京 |
| 关键词 | propofol functional MRI SVM-FoBa feature selection consciousness |
| 通讯作者 | Li, Huandong |
| 中文摘要 | 无 |
| 英文摘要 | Despite the routine use of general anesthesia during surgery, no consensus has been reached on the precise mechanisms by which anesthetic agents suppress consciousness. Recent functional magnetic resonance imaging studies have shown that changes in connectivity is generally observed during propofol-induced loss of consciousness, especially in the fronto-parietal association cortex. Here, we developed a novel feature selection approach based on linear support vector machine with a forward-back search strategy to investigate the mostly discriminative connectivity patterns of different consciousness states. The classification accuracy between wakefulness and deep sedation was up to 96.4%. Weight analysis further revealed that consciousness could be linked to functional connectivity within and across the default mode network, executive control network, salience network and cerebellum. Moreover, the angular, supplementary motor cortex, inferior parietal, insula, and cerebellum exhibited significantly larger weight, suggesting important roles in consciousness. In all, our study sheds light on the mechanism of consciousness. |
| 收录类别 | EI |
| 会议主办者 | The Institution of Engineering and Technology (IET) |
| 会议网址 | http://icbisp.events.theiet.org.cn/ |
| 会议录 | ICBISP conference proceedings
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10557]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 作者单位 | 1.Brainnetome Center, Institute of Automation, Chinese Academy of Sciences 2.Capital University of Medical Sciences Affiliated Tiantan Hospital 3.Elementary Educational College, Jiangxi Normal University |
| 推荐引用方式 GB/T 7714 | Li, Huandong,Liu, Xiaoyuan,Jie, Nanfeng,et al. Identifying intrinsic connectivity network pattern during propofol-induced loss of consciousness: a multivariate analysis[C]. 见:IET International Conference on Biomedical Image and Signal Processing (ICBISP). 北京. 2015-11-19.http://icbisp.events.theiet.org.cn/. |
入库方式： OAI收割
来源：自动化研究所
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