Add to Favourites
To login click here
This article discusses the use of structural and functional data in generating group-level streamline count and length matrices for network analysis. The data was sourced from the WM tractograms of 1065 healthy adult individuals and the Neurosynth and NeuroQuery meta-analytic repositories of fMRI activation data. The results showed that the Yale Brain Atlas parcellation was well-suited for this study due to its relatively small and uniform parcel size, enabling precise and meaningful analyses of structural and functional patterns.