Dear all,
Recently, I have watched the training videos and tried to process my fNIRS signal data via Homer3, but I`ve run into some problems.
Firstly, we collected the resting state of the subject for 3 minutes as our resting data.
Then, the subjects were asked to perform 5 different tasks during a 20-minute period.
The duration for each task is different and there is no break between the task.
In my dataset, the auxiliary has 8 channels and I have accelerometer data on the third, fourth and fifth rows.
Also, I have one short separation channel (10 millimeters) per hemisphere.
Is it possible to analyze such kind of fNIRS signal using the GLM with tCCA method?
If possible, how should the parameters of the tRange be set?
Sincerely,
Lai
This is unlike any type of experimental design I've analyzed for fNIRS. What is the hypothesis that you want to test? Usually we are looking at the HRF in response to a stimulus onset relative to a baseline period before the stimulus onset. Sometimes people look at the HRF in response to a stimulus onset relative to a prior task just before the stimulus onset. Maybe what you want to do relates to this second approach. I am not sure what to do.
Maybe someone else out there has analyzed an experimental design like you describe.
Have you seen any papers doing something similar to what you describe?