course link: https://class.coursera.org/fmri1-001
? Three fundmental goals in fMRI:
localization (brain mapping approach: task comparison, brain-behavior correlation, information-based mapping);
connectivity (functional connectivity (seed-based), effectivity connectivity (DCM), multivariate connectivity (ICA, PCA, graph theory));
prediction (use the brain activities to predict something such as behavior)
? fMRI data structure:
TR: temporal resolution
Sturctural images:T1, WM<GM<CSF (longitudinal relaxation)
Functional images: T2* images
T2: teanscerse reliaxation
? fmri data structure
Field of view (FOV): to what extent of view in each direction we can see the brain
Slice thickness
eg. If the FOC is 192 mm, matrix size is 64 mm (the area of each slice), the slice thickness is 3 mm, then voxel size: 192mm (FOV)/64 (matrix size)*3 (slice thickness) = 3*3*3 mm voxel size (the last 3 means slice thickness)
hierarchy: Experiment-subjects-session-run-volume-slice-voxel
? Statistical map: the colors indicate reliable, non-zero effects
? Reverse inference: observed brain actives -> the feeling
One fallacy: if P->Q, Q, therefore P (true only if P is the only factor leads to Q)
Notes: Principles of fMRI (Coursera)
原文：http://www.cnblogs.com/minks/p/4889474.html