Hi CONN team,

I have created a mock up of the single subject matrix (screenshot attached) as I understand it would be set up for dimensionality reduction. Is there a way in CONN to determine how many total voxel were used, or the dimensionality of the individual correlation matrix?

My figure and explanation is based on how I understood Nieto-Castanon, A. (2022). Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA).  

Does the correlation matrix I created for the source voxel make sense and do you detect any obvious errors? for context I have n=35. 

For each voxel ( ) a Pearson correlation,  is calculated for that voxel ( ) and every other voxel’s ( ) BOLD time series.

Where  represents the matrix for n source voxel and     represents the Pearson correlation coefficient of the time series (BOLD) between voxel ( ) and voxel ( ).