A number of brain regions have been suggested to associate with various personality traits; however, their neural correlates are still largely unknown. A further understanding of the underlying neural basis would also provide better insight into personality disorders. Therefore, the aim of this study was to examine the correlation of personality estimates (obtained from the Japanese version of Cloninger's Temperament and Character Inventory, TCI) with global functional connectivity as measured by resting-state fMRI ("regional global connectivity," rGC). We used a 3-Tesla MRI (Philips) with a 32-channel head coil to obtain structural (T1-weighted) and functional (T2*-weighted) images from healthy male subjects (N=89, 18-24 years old, right-handed). Subjects were asked to stay awake with their eyes closed during acquisition (a series of three 5-min sessions). Preprocessing of BOLD signal was performed through SPM8 and MATLAB: head motion realignment, normalization with the standard EPI template, spatial/temporal smoothing and noise reduction. For each voxel (6x6x6 mm) in the gray matter, cross-correlation coefficients with all other voxels (i.e., functional connectivity) were calculated and averaged to determine an rGC value. We found significant positive correlations between most of TCI scores (Novelty Seeking, Reward Dependence, Persistence, Self-Directedness and Self-Transcendence) and rGC, revealed by Pearson's linear correlation coefficient (p<0.05, corrected for multi-comparison with Monte Carlo simulation obtained from AlphaSim), at distinct gray matter regions: dorsolateral prefrontal cortex, orbitofrontal cortex, occipital-parietal cortex, caudate nucleus and cerebellar hemisphere. We also found significant negative correlations between Cooperativeness score and rGC at precuneus. The results suggest that the personality traits are represented in the resting-state brain networks that involve specific cortical and subcortical regions related to each trait.