title: [Analysis of functional MRI data using temporal independent component analysis with spatial restriction].
abstract: Functional MRI data is analyzed by using temporal independent component analysis confined to the potential activation extent which is firstly detected by using correlation analysis. Based on the prior information about the activation paradigm, the functional signal component is identified automatically by ordering the resultant independent components with canonical correlation analysis. Finally, the functional MRI data is reanalyzed adaptively by using correlation analysis with the recognized functional signal component as the reference function. The experimental results of analyzing actual functional MRI data show the validity and the reliability of the presented method.
authors.affiliation: Lab. of Image Science and Technology, Southeast University, Nanjing 210096, China.
authors.forename: Shijie
authors.initials: S
authors.lastname: Wang
authors.forename: Limin
authors.initials: L
authors.lastname: Luo
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001931:Brain Mapping / Q000379:methods; D003627:Data Interpretation, Statistical; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D025341:Principal Component Analysis / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors