The　human　brain　deteriorates　as　we　age,　and　the　rate　and　the　trajectories　of　these　changes　significantly　vary　among　brain　regions　and　among　individuals.　Because　neuroimaging　data　are　potentially　important　indicators　of　individual＇s　brain　health,　they　are　commonly　used　in　brain　age　prediction.　In　this　review,　we　summarize　brain　age　prediction　model　from　neuroimaging-based　studies　in　the　last　ten　years.　The　studies　are　categorized　based　on　their　image　modalities　and　feature　types.　The　results　indicate　that　the　prediction　frameworks　based　on　neuroimaging　holds　promise　toward　individualized　brain　age　prediction.　Finally,　we　addressed　the　challenges　in　brain　age　prediction　and　suggested　some　future　research　directions.　Copyright　©　2019　by　Editorial　Office　of　Journal　of　Biomedical　Engineering.