DocumentCode
2769078
Title
Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain
Author
Soleymani, Mohammad ; Hossein-Zadeh, G.A. ; Soltanian-Zadeh, Hamid
Author_Institution
Univ. of Tehran, Tehran
fYear
0
fDate
0-0 0
Firstpage
1389
Lastpage
1392
Abstract
A method is proposed for modeling random and fixed effects in statistical maps of multisubject fMRI data. Using this model, we separate a fixed common activation map and a random effect for each subject. The proposed model shows a good multisubject activation detection for group analysis and also illustrate that the between subject variation lies mostly in activated areas. The method was implemented and tested on both simulated and experimental functional MRI data of 9 subjects.
Keywords
biomedical MRI; data analysis; statistical analysis; wavelet transforms; fixed effect analysis; group analysis; multisubject activation detection; multisubject functional magnetic resonance imaging data; multisubject spatial activation maps; random effect analysis; statistical maps; wavelet domain; Independent component analysis; Intelligent control; Magnetic analysis; Magnetic resonance imaging; Principal component analysis; Process control; Testing; Time series analysis; Wavelet analysis; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9490-9
Type
conf
DOI
10.1109/IJCNN.2006.246855
Filename
1716266
Link To Document