Institutional Repository of Key Laboratory of Behavioral Science, CAS
Segregation between the parietal memory network and the default mode network: effects of spatial smoothing and model order in ICA | |
Hu, Yang1,2; Wang, Jijun3; Li, Chunbo3; Wang, Yin-Shan1,2; Yang, Zhi1,2,3; Zuo, Xi-Nian1; Z. Yang | |
通讯作者邮箱 | yangz@psych.ac.cn |
摘要 | A brain network consisting of two key parietal nodes, the precuneus and the posterior cingulate cortex, has emerged from recent fMRI studies. Though it is anatomically adjacent to and spatially overlaps with the default mode network (DMN), its function has been associated with memory processing, and it has been referred to as the parietal memory network (PMN). Independent component analysis (ICA) is the most common data-driven method used to extract PMN and DMN simultaneously. However, the effects of data preprocessing and parameter determination in ICA on PMN-DMN segregation are completely unknown. Here, we employ three typical algorithms of group ICA to assess how spatial smoothing and model order influence the degree of PMN-DMN segregation. Our findings indicate that PMN and DMN can only be stably separated using a combination of low-level spatial smoothing and high model order across the three ICA algorithms. We thus argue for more considerations on parametric settings for interpreting DMN data. |
关键词 | Default mode network Parietal memory network Independent component analysis Model order Resting-state fMRI Spatial smoothing |
2016-12-01 | |
语种 | 英语 |
DOI | 10.1007/s11434-016-1202-z |
发表期刊 | SCIENCE BULLETIN |
ISSN | 2095-9273 |
卷号 | 61期号:24页码:1844-1854 |
期刊论文类型 | Article |
收录类别 | SCI |
WOS关键词 | INDEPENDENT COMPONENT ANALYSIS ; RESTING-STATE FMRI ; INTRINSIC FUNCTIONAL CONNECTIVITY ; ALZHEIMERS-DISEASE ; HUMAN BRAIN ; GROUP PICA ; MRI ; PSYCHOPATHOLOGY ; REPRODUCIBILITY ; SEGMENTATION |
WOS标题词 | Science & Technology |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000390668600003 |
资助机构 | National Basic Research (973) Program(2015CB351702) ; National Natural Science Foundation of China(81571756 ; Beijing Nova Program(XXJH2015B079) ; Outstanding Young Investigator Award of Institute of Psychology, Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences(KSZD-EW-TZ-002) ; 81270023 ; 81278412 ; 81171409 ; 81000583 ; 81471740 ; 81220108014) |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/20975 |
专题 | 中国科学院行为科学重点实验室 |
通讯作者 | Z. Yang |
作者单位 | 1.Chinese Acad Sci, Key Lab Behav Sci, Lab Human Connectome & Dev, Inst Psychol,Magnet Resonance Res Ctr, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Shanghai Jiao Tong Univ, Sch Med, Shanghai Key Lab Psychot Disorders, Shanghai Mental Hlth Ctr, Shanghai 200030, Peoples R China |
推荐引用方式 GB/T 7714 | Hu, Yang,Wang, Jijun,Li, Chunbo,et al. Segregation between the parietal memory network and the default mode network: effects of spatial smoothing and model order in ICA[J]. SCIENCE BULLETIN,2016,61(24):1844-1854. |
APA | Hu, Yang.,Wang, Jijun.,Li, Chunbo.,Wang, Yin-Shan.,Yang, Zhi.,...&Z. Yang.(2016).Segregation between the parietal memory network and the default mode network: effects of spatial smoothing and model order in ICA.SCIENCE BULLETIN,61(24),1844-1854. |
MLA | Hu, Yang,et al."Segregation between the parietal memory network and the default mode network: effects of spatial smoothing and model order in ICA".SCIENCE BULLETIN 61.24(2016):1844-1854. |
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Segregation between (2019KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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