I want to ask whether I’m doing beta-series correlation based contrasts sensibly.
Picking up where this nilearn tutorial left off:
This example shows how to run beta series GLM models, which are a common modeling approach for a variety of analyses of task-based fMRI data with an event-related task design, including functional …
Am I right to think that after we calculate beta-series for e.g: sub-1’s condition 1 and 2 (e.g.: “string” and “language” following the tutorials example) we wanted to do a group-level “string-language” task-based FC contrast… we could subtract the
string_connectivity_image from the
language_connectivity_image and - following the same process for all subs - just do a one sample t-test to arrive at the group-level task dependent FC difference between the conditions?