Data

NCM Lab member Dr. Ellen Jaspers developed a method for clustering gross morphological structures into subregions with unique functional connectivity fingerprints, and generated network probability maps usable as a baseline to compare individual cases against. Full details of the method are reported in this ) directly.  

NCM Lab member Dr. Joshua Balsters developed a connectivity based parcellation pipeline to generate more robust and reliable seeds for clinical resting state fMRI analyses. Full details of the method are reported in this external pagepapercall_made. Probability maps generated during connectivity based parcellation of the cingulate cortex are available for download Downloadhere (ZIP, 252 KB)vertical_align_bottom. For further details regarding the probability maps please contact Joshua () directly.  

NCM Lab member Dr. Valerio Zerbi developed an optimised pipeline for preprocessing resting-state fMRI data in mouse. Full details regarding the method are reported in this external pagepapercall_made. The mouse data set is avaliable for download external pageherecall_made. For further enquiries regarding the FIX-classifier and resting state networks please contact Valerio () directly.