当前位置: 首页 > 详情页

Default-mode network activity identified by group independent component analysis

| 认领 | 导出 |

文献详情

资源类型:
机构: [1]Institute of Psychology, Renmin University of China, Beijing, 100872, China [2]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China [3]Department of Radiology, Xuanwu Hospital, Capital University of Medical Sciences, Beijing, 100053, China [4]Department of Experimental Psychology, University of Cambridge, Cambridge, CB23EB, UK
出处:
ISSN:

关键词: Default mode network fMRI Independent component analysis

摘要:
Default-mode network activity refers to some regional increase in blood oxygenation level-dependent (BOLD) signal during baseline than cognitive tasks. Recent functional imaging studies have found co-activation in a distributed network of cortical regions, including ventral anterior cingulate cortex (vACC) and posterior cingulate cortex (PPC) that characterize the default mode of human brain. In this study, general linear model and group independent component analysis (ICA) were utilized to analyze the fMRI data obtained from two language tasks. Both methods yielded similar, but not identical results and detected a resting deactivation network at some midline regions including anterior and posterior cingulate cortex and precuneus. Particularly, the group ICA method segregated functional elements into two separate maps and identified ventral cingulate component and fronto-parietal component. These results suggest that these two components might be linked to different mental function during "resting" baseline. ? Springer-Verlag Berlin Heidelberg 2007.

基金:
语种:
中科院(CAS)分区:
出版当年[2006]版:
大类 | 4 区 工程技术
最新[2023]版:
第一作者:
第一作者机构: [1]Institute of Psychology, Renmin University of China, Beijing, 100872, China [2]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
通讯作者:
通讯机构: [1]Institute of Psychology, Renmin University of China, Beijing, 100872, China [2]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:16409 今日访问量:0 总访问量:869 更新日期:2025-01-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学宣武医院 技术支持:重庆聚合科技有限公司 地址:北京市西城区长椿街45号宣武医院