Dear all,
In an experiment, we have a block design that includes a 1 minute baseline followed by a 1 minute experimental condition (2 factors with 2 levels). This is repeated 8 times.
I would like to analyze all 5 EEG bands.
What is the best way for me to perform a spectral decomposition in this case?
I have seen that in some articles spectral decomposition is performed for epochs of 1 minutes length or more. Others split the long epochs into smaller 1s epochs.
I would use Morlet spectral decomposition with a time window of [-60s +60s] and use LogR for the processing including a baseline correction. Does that sound plausabile?
I also found this interesting paper using SPM for their EEG analysis:
https://www.sciencedirect.com/science/article/pii/S1053811920301191
They split the long epochs into 1s epochs. In addition, they normalize the nifti images using z-scores across the electrodes for each frequency step.
Is this a method to improve inter-subject variability supported by SPM, or are there other methods built into SPM to address this issue?
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