The advent of fast fMRI acquisition techniques has enabled whole-brain acquisitions with sub-second temporal resolution enriching the information available throughout the time course. However, there is no consensus about how the application of frame-wise analysis, performed to better understand functional brain fluctuations, could benefit from high temporal resolution fMRI. In this work, we demonstrate the potential need to: (i) gain a finer understanding of signal and noise signatures peculiar to fast acquisition and (ii) extend the models to better estimate dynamic functional connectivity in rapidly sampled fMRI time series.
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