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利用独立成分分析技术和静息fMRI数据对脑功能区进行定位
Alternative TitleIdentification of functional brain regions with resting-state fMRI data:an independent component analysis approach
董国珍; 杨志; 王培培; 李静薇; 肖壮伟
2008
Source Publication中国医学影像技术
ISSN1003-3289
Volume24Issue:11Pages:1829-1832
Abstract目的验证可否利用独立成分分析(ICA)技术和静息fMRI数据对脑功能区进行定位。方法利用ICA方法,通过研究静息状态的脑功能联结来获取功能区的定位。静息数据的采集采用短TR,在低通滤波(截止频率0.08Hz)后可以去除生理噪声的主要影响。在数据分析中,对ICA结果进行了可复制性分析,只保留可复制性较高的成分,之后将ICA结果与传统的"种子像素"方法获得的结果进行定量的一致性分析。结果ICA能够在不设定"种子像素"的情况下从静息fMRI数据中分解出运动系统和初级视觉系统的功能联结图,并在所有被试上都与"种子像素"方法有较高一致性。ICA在同一数据中可以同时分解出上述两个系统的功能联结图。结论ICA克服了"种子像素"方法的主观性,稳定、准确地从静息fMRI数据中分解出了脑功能联结图。本研究支持初级功能系统内的联系要明显强于系统间的联系的假设,显示ICA方法具有良好的临床应用潜力。
Keyword独立成分分析 静息 磁共振成像
Subject Area认知神经科学
Indexed By中文核心期刊要目总览 ASPT来源刊 CJFD收录刊
Language中文
Funding Project国家自然科学基金委项目(30670674)
NoteObjective To examine the feasibility of functional localization in the human brain with resting-state (task-free) fMRI data using independent component analysis (ICA). Methods ICA was used to study the functional connectivity in resting-state in order to locate the functional regions. The resting-state fMRI data were collected using short TR,and the major impact of various physiological noises was eliminated after the data were low-pass filtered (cutoff frequency=0.08 Hz). ICA components were verified throu...
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/3866
Collection中国科学院心理研究所回溯数据库(1956-2010)
Corresponding Author杨志
Recommended Citation
GB/T 7714
董国珍,杨志,王培培,等. 利用独立成分分析技术和静息fMRI数据对脑功能区进行定位[J]. 中国医学影像技术,2008,24(11):1829-1832.
APA 董国珍,杨志,王培培,李静薇,&肖壮伟.(2008).利用独立成分分析技术和静息fMRI数据对脑功能区进行定位.中国医学影像技术,24(11),1829-1832.
MLA 董国珍,et al."利用独立成分分析技术和静息fMRI数据对脑功能区进行定位".中国医学影像技术 24.11(2008):1829-1832.
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