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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
2016-12-01
发表期刊SCIENCE BULLETIN
通讯作者邮箱yangz@psych.ac.cn
ISSN2095-9273
文章类型Article
卷号61期号:24页码:1844-1854
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
DOI10.1007/s11434-016-1202-z
收录类别SCI
语种英语
项目资助者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 ; Hundred Talents Program of the Chinese Academy of Sciences(KSZD-EW-TZ-002) ; Key Research Program of the Chinese Academy of Sciences(KSZD-EW-TZ-002) ; 81270023 ; 81278412 ; 81171409 ; 81000583 ; 81471740 ; 81220108014)
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000390668600003
WOS标题词Science & Technology
关键词[WOS]INDEPENDENT COMPONENT ANALYSIS ; RESTING-STATE FMRI ; INTRINSIC FUNCTIONAL CONNECTIVITY ; ALZHEIMERS-DISEASE ; HUMAN BRAIN ; GROUP PICA ; MRI ; PSYCHOPATHOLOGY ; REPRODUCIBILITY ; SEGMENTATION
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被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
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
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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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