This work studied the impact of small parcellation changes on functional brain connectivity metrics. The study made use of Rs-fMRI dataset formed of 73 healthy controls and 73 schizophrenic patients. Brain parcellation was performed with standard atlasDKT40. Starting from this parcellation, fifty new parcellations were created by randomly modifying it. Weighted and unweighted adjacency matrices were constructed. 38 local and global network measures were derived. Brain connectivity measure variation factor was computed for each analysed measure. This study identified measures that are more robust with respect to spatial error in parcellation.