FMRI - Preprocessing
4 important questions on FMRI - Preprocessing
Why to you have to preprocess all your fMRI data once these are obtained?
- reduce influence of artifacts from data acquisition + physiology
- check stat assumptions
- align individual scans to same templates
How many preprocessing steps are there?
- Artifact removal
- Motion correction
- Coregistration
- Normalization
- Spatial smoothing
Explain the first 3 steps of preprocessing in fMRI.
- from spike artifacts or signal drift
- increase in the signal cause by the MRI scanner
- because pb with motion in fMRI
Motion correction:
- motion violates assumption that voxel are in same position all the time throughout experiment
- different linear transformation available to reduce effect of motion in images
Coregistration:
- overlay functional images to individual structural image
- will allow to visualize the single-subject task activation
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Explain the 2 last steps of preprocessing in fMRI.
- facilitate group-level analysis
- structural scan is warped to a template image
- limit = reduces spatial resolution
Spatial smoothing:
- process to increase SNR &removing artifacts
- using a lowpass filter to improve the normalization result
- limit = reduces spatial resolution
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