Dear FSL users,
I am currently analysing a data set from a speech production paradigm
collected with block design fMRI. Although the participants maintained their
jaws clenched during speech, you can imagine there was still a fair amount
of head motion. As I try to make sense of the data, one of the approaches I
have attempted for motion correction is using MELODIC to derive ICs, as
suggested on previous messages. However, nearly all components (all but 3 of
36) seem to be clearly associated with motion. My question is this: is it
valid for me to filter out almost all of the components and run GLM analyses
based on the few remaining? As I move to looking at comparing data from
different individuals, is there a problem with removing more components from
some participants than others?
I appreciate any reflections you may have!
Adam Jacks, Ph.D.
Assistant Professor
Department of Communication Disorders
Texas State University- San Marcos
Faculty Associate
Research Imaging Center
The University of Texas Health Science Center at San Antonio
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