Brain　aging　is　one　of　the　most　crucial　biological　processes　that　entail　many　physical,　biological,　chemical,　and　psychological　changes,　and　also　a　major　risk　factor　for　most　common　neurodegenerative　diseases.　To　improve　the　quality　of　life　for　the　elderly,　it　is　important　to　understand　how　the　brain　is　changed　during　the　normal　aging　process.　We　compared　diffusion　tensor　imaging　(DTI)-based　brain　networks　in　a　cohort　of　75　healthy　old　subjects　by　using　graph　theory　metrics　to　describe　the　anatomical　networks　and　connectivity　patterns,　and　network-based　statistic　(NBS)　analysis　was　used　to　identify　pairs　of　regions　with　altered　structural　connectivity.　The　NBS　analysis　revealed　a　significant　network　comprising　nine　distinct　fiber　bundles　linking　10　different　brain　regions　showed　altered　white　matter　structures　in　young-old　group　compare　with　middle-aged　group　(p　＜　.05,　family-wise　error-corrected).　Our　results　might　guide　future　studies　and　help　to　gain　a　better　understanding　of　brain　aging.