 |
 |
Dear FSL experts, I am working the between-network connectivity with FSLNets and have some questions about the nets hierarchy algorithm: After computing the group-average netmat summaries (T-maps and then, Z transformation), I got my nice nets-hierarchy matrix. According to the description, I should be able to associate the different branches of the tree with large-scale brain networks from the literature. I was wondering if this association could only be seen in the full correlation analyses because my partial correlation yields different results. I used a partial correlation because I thought it is better to take into account the shared variance between components. The second question is: In case the partial correlation is a valid way to go on, is it also more informative to try to correlate the partial correlation coefficient with certain behavioral score to see the modulation of this score in the between-network analysis? Or should I stick to the full correlation coefficient from the beginning? Thanks a lot for your attention -- Yacila Deza Araujo, M.Sc. Neuropsych. PhD Student Technische Universität Dresden Faculty of Medicine Carl Gustav Carus Department of Psychiatry & Psychotherapy Section of Systems Neuroscience Würzburger Straße 35 01187 Dresden Germany mailto: [log in to unmask]<mailto:[log in to unmask]>