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

页码：1671 / 1675

页数：5

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