ICA of fMRI group study data

ICA of fMRI group study data
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DOI:
10.1006/nimg.2002.1122
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发表时间:
2002-07-01
期刊:
影响因子:
5.7
通讯作者:
Benali, H
Benali, H
中科院分区:
医学1区
文献类型:
--
作者:
Svensén, M;Kruggel, F;Benali, H

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本文提出了扩展独立成分分析(伊卡)的功能磁共振成像(fMRI)数据从单一的主题,从一组主题的数据的同时分析。这导致了一组对整个组来说是共同的时间过程,以及组中每个受试者的个体空间响应模式。该方法说明使用两个fMRI实验的数据。结果表明:(a)伊卡能够在没有任何关于fMRI实验的先验信息的情况下提取与任务相关的非平凡成分;(B)在对组数据的分析中,伊卡识别整个组共有的成分以及仅在单个受试者中表现的成分。(C)2002 Elsevier Science(美国)。
This paper proposes to extend independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data from single subjects to simultaneous analysis of data from a group of subjects. This results in a set of time courses which are common to the whole group, together with an individual spatial response pattern for each of the subjects in the group. The method is illustrated using data from two fMRI experiments. The results show that: (a) ICA is capable of extracting nontrivial task related components without any a priori information about the fMRI experiment; (b) in analysis of group data, ICA identifies components common to the whole group as well as components manifested in single subjects only. (C) 2002 Elsevier Science (USA).