I have a question regarding applying a Fisher transform on correlation values. One of my colleague suggested applying such transform in MIA (cf. PR in MIA).
For the context, in MIA, to assess the consistency of the activity recorded within a region, two correlation measures are computed
- the inter-channel correlation (across the time courses of all relevant channels within the region)
- the inter-patient correlation (across the time-courses averaged per patient within the region).
Both correlation metrics are defined as the mean of all pair-wise Pearson correlations within a region, either among contacts or among patient average time-courses.
I have two questions :
- What do you think about the approach?
- Do you think it is still valid even on a small number of values?
Thank you for your insights!