Dear FSLers,I read the TFM paper with great interest. I would learn how to generate TFMs using our resting-state fMRI data but cannot figure out how it could be done at the last step. The fastICA may generate group-wise 21 TFM time series using 142-node time series data, which was calculated by multi-session temporal concatenation mode of melodic. How this group-wise TFM time courses can be fed into regression of original single session data?
Can it be done directly using fsl_glm? and/or Should I use weighting matrix (At) to generate single session TFMs using single session 142 spatial nodes? Could anyone give me some hints to do this?Thank you in advance.Best regards,Takuya--
Takuya Hayashi, MD, PhD
Functional Architecture Imaging Unit
RIKEN Center for Life Science Technologies, Kobe, Japan