Wavelet analyses of event-related FMRI experiments

被引：0
|
作者：
Choo, KW [1 ]
Rajapakse, JC [1 ]
机构：
[1] Nanyang Polytech, Sch Elect Engn, Singapore, Singapore
来源：
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Functional Magnetic Resonance Imaging (fMRI) is being increasingly used to detect brain activation due to different stimuli from the external world. Recent event-related experiments used randomised-design to overcome the limitations found in classical block-design paradigm. This paper studies the application of wavelets to analyse data obtained in random event-related fMRI experiments to detect region of activation. Results from synthetic and real fMR images obtained in memory tasks are shown and elaborated.
引用
收藏
页码：1671 / 1675
页数：5
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