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 paper. Probability maps generated during connectivity based parcellation of the cingulate cortex are available for download here (ZIP, 252 KB). 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 paper. The mouse data set is avaliable for download here. For further enquiries regarding the FIX-classifier and resting state networks please contact Valerio () directly.