Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fmri measurements
文献类型：期刊论文
| 作者 | Zhang, Jiang1; Liu, Qi1; Chen, Huafu2; Yuan, Zhen3; Huang, Jin4; Deng, Lihua1; Lu, Fengmei3; Zhang, Junpeng1; Wang, Yuqing5; Wang, Mingwen6 |
| 刊名 | Frontiers in human neuroscience
 |
| 出版日期 | 2015-07-17 |
| 卷号 | 9页码:11 |
| 关键词 | Affinity propagation clustering Functional magnetic resonance imaging Motor execution Motor imagery Self-organizing mapping |
| ISSN号 | 1662-5161 |
| DOI | 10.3389/fnhum.2015.00400 |
| 通讯作者 | Zhang, jiang(zhangjiang_@hotmail.com) ; Liu, qi(liuqi@scu.edu.cn) ; Chen, huafu(chenhf@uestc.edu.cn) |
| 英文摘要 | Clustering analysis methods have been widely applied to identifying the functional brain networks of a multitask paradigm. however, the previously used clustering analysis techniques are computationally expensive and thus impractical for clinical applications. in this study a novel method, called som-sapc that combines self-organizing mapping (som) and supervised affinity propagation clustering (sapc), is proposed and implemented to identify the motor execution (me) and motor imagery (mi) networks. in som-sapc, som was first performed to process fmri data and sapc is further utilized for clustering the patterns of functional networks. as a result, som-sapc is able to significantly reduce the computational cost for brain network analysis. simulation and clinical tests involving me and mi were conducted based on som-sapc, and the analysis results indicated that functional brain networks were clearly identified with different response patterns and reduced computational cost. in particular, three activation clusters were clearly revealed, which include parts of the visual, me and mi functional networks. these findings validated that som-sapc is an effective and robust method to analyze the fmri data with multitasks. |
| WOS关键词 | TIME-SERIES ; INTERHEMISPHERIC ASYMMETRY ; EFFECTIVE CONNECTIVITY ; PHYSICAL PRACTICE ; MENTAL-IMAGERY ; HAND MOVEMENTS ; ACTIVATION ; HANDEDNESS ; CORTEX ; MRI |
| WOS研究方向 | Neurosciences & Neurology ; Psychology |
| WOS类目 | Neurosciences ; Psychology |
| 语种 | 英语 |
| WOS记录号 | WOS:000373620700001 |
| 出版者 | FRONTIERS MEDIA SA |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2176515 |
| 专题 | 高能物理研究所 |
| 通讯作者 | Zhang, Jiang; Liu, Qi; Chen, Huafu |
| 作者单位 | 1.Sichuan Univ, Sch Elect Engn & Informat, Dept Med Informat Engn, 24,South Sect 1,Yihuan Rd, Chengdu 610065, Peoples R China 2.Univ Elect Sci & Technol China, Sch Life Sci & Technol, 4,Sect 2,North Jianshe Rd, Chengdu 610054, Peoples R China 3.Univ Macau, Fac Hlth Sci, Bioimaging Core, Macau, Peoples R China 4.Univ Elect Sci & Technol China, Sch Foreign Studies, Chengdu 610054, Peoples R China 5.Natl Ctr Nanosci & Technol China, CAS Key Lab Biomed Effects Nanomat & Nanosafety, Beijing, Peoples R China 6.Southwest Jiaotong Univ, Sch Math, Chengdu, Peoples R China 7.Sichuan Univ, Sch Comp Sci, Chengdu 610065, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jiang,Liu, Qi,Chen, Huafu,et al. Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fmri measurements[J]. Frontiers in human neuroscience,2015,9:11. |
| APA | Zhang, Jiang.,Liu, Qi.,Chen, Huafu.,Yuan, Zhen.,Huang, Jin.,...&Chen, Liangyin.(2015).Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fmri measurements.Frontiers in human neuroscience,9,11. |
| MLA | Zhang, Jiang,et al."Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fmri measurements".Frontiers in human neuroscience 9(2015):11. |
入库方式： iSwitch采集
来源：高能物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。