Hi all,
I am running a weighted-GLM task-based functional connectivity analysis across several condition using an event-related design. Could someone help clarify (or point me to literature) as to why I would included the effect of task in the denoising step as is indicated on the CONN toolbox website (see attached)?
My understanding is that for the connectivity analysis the event is convolved with an HRF function and the weighted-GLM is similar to a beta-series correlation approach. In that instance I am concerned that removing the effect of task in the denoising step may be removing the very signal I want to capture and correlate across ROIs.
Is this line of reasoning correct? Or is there a justification for including these task effects in the denoising step for an event-related task-based connectivity analysis?
Andrew
I am running a weighted-GLM task-based functional connectivity analysis across several condition using an event-related design. Could someone help clarify (or point me to literature) as to why I would included the effect of task in the denoising step as is indicated on the CONN toolbox website (see attached)?
My understanding is that for the connectivity analysis the event is convolved with an HRF function and the weighted-GLM is similar to a beta-series correlation approach. In that instance I am concerned that removing the effect of task in the denoising step may be removing the very signal I want to capture and correlate across ROIs.
Is this line of reasoning correct? Or is there a justification for including these task effects in the denoising step for an event-related task-based connectivity analysis?
Andrew