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What are you trying to do?
I"m running gradient analysis onto phase-locking networks obtained from source-space MEG data. I have a 52-parcel resolution but am not particularly interested in identifying fine-grained functional boundaries anyway, I'm just looking for a way to embed each connectivity matrix into a one-dimensional array for later statistical analysis.
Relatedly, I couldn't find definitive recommendations on how the choice of kernels and dimensionality reduction algorithm may affect the output? What would you recommend in my case?
The text was updated successfully, but these errors were encountered:
I"m running gradient analysis onto phase-locking networks obtained from source-space MEG data. I have a 52-parcel resolution but am not particularly interested in identifying fine-grained functional boundaries anyway, I'm just looking for a way to embed each connectivity matrix into a one-dimensional array for later statistical analysis.
Relatedly, I couldn't find definitive recommendations on how the choice of kernels and dimensionality reduction algorithm may affect the output? What would you recommend in my case?
The text was updated successfully, but these errors were encountered: