I also have one methodological concern: using path-based graph metrics (characteristic path length, global efficiency) on correlation-based connectivity may be problematic, as correlation inherently represents the shortest path between nodes. So the interpretation of these measures is not clear.

Great work!
This aligns well with our recent findings (elifesciences.org/reviewed-pre...) and others' work showing that scalp EEG oscillatory activity is predominantly in alpha and beta bands, while all other activity is aperiodic.

Hi, great work! (How) did you account for non-Gaussianity in your GAMs? Also, if I understand correctly, the paper focuses more on curated datasets for normative modeling rather than direct applicability to individual-level diagnostics - is that right?

I think link points to the wrong paper.

It would be interesting to add temporal ICA for comparison.

What grants are these?

I had zero luck with grants. People really didn’t get why what I did was important and never figured out how to explain it to them.