机构：[a]School of Information Science and Technology, Beijing Normal University, Beijing, China[b]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China[c]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China放射科首都医科大学宣武医院[d]Banner Alzheimer Institute (BAI) and Samaritan PET Center, Phoenix, AZ, USA[e]Department of Psychiatry, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
A visual task for semantic access involves a number of brain regions. However, previous studies either examined the role of each region separately using univariate approach, or analyzed a single brain network using covariance connectivity analysis. We hypothesize that these brain regions construct several functional networks underpinning a word semantic access task, these networks being engaged in different cognitive components with distinct temporal characters. In this paper, multivariate independent component analysis (ICA) was used to reveal these networks based on functional magnetic resonance imaging (fMRI) data acquired during a visual and an auditory word semantic judgment task. Our results demonstrated that there were three task-related independent components (ICs), corresponding to various cognitive components involved in the visual task. Furthermore, ICA separation on the auditory task showed consistency of the results with our hypothesis, regardless of the input modalities. (C) 2008 Published by Elsevier Inc.
基金：
Natural Science Key Foundation of Beijing (4061004), National Natural Science Foundation of China (60628101), and National High-Tech R&D Program (863 Program, 2006AA01Z132).
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2008]版：
大类|2 区医学
小类|1 区神经成像1 区核医学2 区神经科学
最新[2025]版：
大类|2 区医学
小类|1 区神经成像2 区神经科学2 区核医学
JCR分区：
出版当年[2007]版：
Q1NEUROSCIENCESQ1NEUROIMAGINGQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q1NEUROIMAGINGQ1NEUROSCIENCESQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[a]School of Information Science and Technology, Beijing Normal University, Beijing, China
通讯作者：
通讯机构：[a]School of Information Science and Technology, Beijing Normal University, Beijing, China[b]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China[c]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
推荐引用方式(GB/T 7714)：
Xia Wu,Jie Lu,Kewei Chen,et al.Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis[J].NEUROIMAGE.2009,45(4):1347-1358.doi:10.1016/j.neuroimage.2008.12.050.
APA：
Xia Wu,Jie Lu,Kewei Chen,Zhiying Long,Xiaoyi Wang...&Li Yao.(2009).Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis.NEUROIMAGE,45,(4)
MLA：
Xia Wu,et al."Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis".NEUROIMAGE 45..4(2009):1347-1358
医学