A novel index of functional connectivity: phase lag based on Wilcoxon signed rank test
文献类型：期刊论文
| 作者 | Li, Xuan2; Wu, Yunqiao2; Wei, Mengting1; Guo, Yiyun3; Yu, Zhenhua4; Wang, Haixian2; Li, Zhanli4; Fan, Hui5 |
| 刊名 | COGNITIVE NEURODYNAMICS
 |
| 出版日期 | 2020-11-04 |
| 页码 | 16 |
| ISSN号 | 1871-4080 |
| 关键词 | Phase synchronization Volume conduction Wilcoxon signed-rank test Graph measures Scale-free characteristic Test– retest reliability |
| DOI | 10.1007/s11571-020-09646-x |
| 通讯作者 | Wang, Haixian(hxwang@seu.edu.cn) ; Li, Zhanli(lizl@xust.edu.cn) |
| 英文摘要 | Phase synchronization has been an effective measurement of functional connectivity, detecting similar dynamics over time among distinct brain regions. However, traditional phase synchronization-based functional connectivity indices have been proved to have some drawbacks. For example, the phase locking value (PLV) index is sensitive to volume conduction, while the phase lag index (PLI) and the weighted phase lag index (wPLI) are easily affected by noise perturbations. In addition, thresholds need to be applied to these indices to obtain the binary adjacency matrix that determines the connections. However, the selection of the thresholds is generally arbitrary. To address these issues, in this paper we propose a novel index of functional connectivity, named the phase lag based on the Wilcoxon signed-rank test (PLWT). Specifically, it characterizes the functional connectivity based on the phase lag with a weighting procedure to reduce the influence of volume conduction and noise. Besides, it automatically identifies the important connections without relying on thresholds, by taking advantage of the framework of the Wilcoxon signed-rank test. The performance of the proposed PLWT index is evaluated on simulated electroencephalograph (EEG) datasets, as well as on two resting-state EEG datasets. The experimental results on the simulated EEG data show that the PLWT index is robust to volume conduction and noise. Furthermore, the brain functional networks derived by PLWT on the real EEG data exhibit a reasonable scale-free characteristic and high test-retest (TRT) reliability of graph measures. We believe that the proposed PLWT index provides a useful and reliable tool to identify the underlying neural interactions, while effectively diminishing the influence of volume conduction and noise. |
| WOS关键词 | TEST-RETEST RELIABILITY ; SCALE-FREE ORGANIZATION ; RESTING-STATE ; SMALL-WORLD ; BRAIN ; NETWORKS ; SYNCHRONIZATION ; SIGNALS ; FMRI |
| 资助项目 | National Natural Science Foundation of China[61773114] ; Key Research and Development Plan (Industry Foresight and Common Key Technology) of Jiangsu Province[BE2017007-1] |
| WOS研究方向 | Neurosciences & Neurology |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:000585717800001 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/33487]  |
| 专题 | 心理研究所_健康与遗传心理学研究室 |
| 通讯作者 | Wang, Haixian; Li, Zhanli |
| 作者单位 | 1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China 2.Southeast Univ, Sch Biol Sci & Med Engn, Minist Educ, Key Lab Child Dev & Learning Sci, Nanjing 210096, Jiangsu, Peoples R China 3.Qingdao Port Int Co Ltd, Qingdao 266011, Shandong, Peoples R China 4.Xian Univ Sci & Technol, Coll Comp Sci & Technol, Xian 710054, Shaanxi, Peoples R China 5.Shandong Technol & Business Univ, Coinnovat Ctr, Shandong Coll & Univ Future Intelligent Comp, Yantai 264005, Shandong, People's Republ |
| 推荐引用方式 GB/T 7714 | Li, Xuan,Wu, Yunqiao,Wei, Mengting,et al. A novel index of functional connectivity: phase lag based on Wilcoxon signed rank test[J]. COGNITIVE NEURODYNAMICS,2020:16. |
| APA | Li, Xuan.,Wu, Yunqiao.,Wei, Mengting.,Guo, Yiyun.,Yu, Zhenhua.,...&Fan, Hui.(2020).A novel index of functional connectivity: phase lag based on Wilcoxon signed rank test.COGNITIVE NEURODYNAMICS,16. |
| MLA | Li, Xuan,et al."A novel index of functional connectivity: phase lag based on Wilcoxon signed rank test".COGNITIVE NEURODYNAMICS (2020):16. |
入库方式： OAI收割
来源：心理研究所
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