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Resting-state functional MRI:Algorithms and application to b...

Resting-state functional MRI:Algorithms and application to brain disorders

作     者:Yu-FengZANG State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing,100875 

会议名称:《中国神经科学学会第四次会员代表大会暨第八届全国学术会议》

会议日期:2009年

学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 100207[医学-影像医学与核医学] 1002[医学-临床医学] 08[工学] 1010[医学-医学技术(可授医学、理学学位)] 100204[医学-神经病学] 10[医学] 

关 键 词:resting-state fMRI functional connectivity independent component analysis regional homogeneity amplitude of low frequency fluctuation 

摘      要:正Blood oxygenation level dependent(BOLD) functional magnetic resonance imaging(fMRI) is being widely used for detection of the brain activation during a specific *** term activation means a significant signal change evoked by a target task relative to a baseline or control *** baseline activity is usually taken as ***,the spontaneous or on-going brain activity is of great *** and EEG are two useful techniques for studying resting-state brain function in clinical *** with PET,the resting-state fMRI(RS-fMRI) has no radioactivity and has higher temporal *** with EEG or MEG,RS-fMRI has higher spatial *** the aspect of computation,the algorithms for RS-fMRI could be divided into two categories,one is for integration and the other is for *** for integration mainly focus on the functional relationship,usually called functional connectivity, among remote brain *** most popular algorithm for integration is linear correlation between the time series of remote brain areas(Biswal et al.,1995,MRM).An example of this method for brain disorder is that,in multiple sclerosis patients, the functional connectivity between the bilateral primary sensorimotor cortices was reduced due to the lesion in the corpus callosum(Lowe et al.,2002,Radiology).Another method for integration is spatial-independent component analysis (sICA).sICA separates the 4D brain into many spatially independent networks(components)(Kiviniemi et al.,2003, NeuroImage).For example,decreased coactivation in the default mode network has been reported in Alzheimer’s disease (AD) or mild cognitive impairment(MCI)(Greicius et al.,2004,PNAS).Algorithms for segregation focus on the local features of the spontaneous brain *** homogeneity(ReHo) measures the local synchronization of the time series of voxels within a given area(Zang et al.,2004,Neurolmage).ReHo has been used in many brain disorders including schiz

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