I spent 3 years doing research on (f)MRI. This problem is deeply linked with the models used for the analysis. Basically, the BOLD signal is a new exponential f

I spent 3 years doing research on (f)MRI. This problem is deeply linked with the models used for the analysis. Basically, the BOLD signal is a new exponential fit everytime. There are no subject parameters considered. On the other hand, task-based analyses always consider the stimulus a discrete step function for the deconvolution. For example, whenever we enter a room with an annoying clock tick-tacking, we observe it doesn't affect the person native to the room as much. Or whenever we watch an add a second time, it goes by more quickly. Such cases are not accounted for in current models.