This　paper　explores　the　use　of　multi-channel　event-related　potentials　(ERP)　to　identify　mentality　facticity　or　detect　lie.　Some　identifiably　meaning　information,　such　as　subjects＇　name　and　birthday,　were　selected　as　concealed　information　to　be　identified,　15　subjects　were　tested　by　concealed　information　test　(CIT)　paradigm　and　their　electroencephalographs　(EEG)　were　recorded　from　30　electrodes.　In　virtue　of　analysis　on　the　statistically　significant　difference　between　multi-channel　ERPs　evoked　by　probe　information　and　that　evoked　by　irrelevant　information,　the　P300　amplitudes　of　15　electrodes　were　selected　as　F-test　samples.　The　significant　difference　of　feature　sample　values　between　probe　and　irrelevant　information　was　applied　to　identify　mentality　facticity.　The　results　indicate　that　P300　amplitudes　evoked　in　many　electrodes　are　significantly　different　between　probe　and　irrelevant　information　(P　＜　0.01).　According　to　the　significant　difference　of　space　sample　values　between　probe　and　irrelevant　information,　the　detection　correctness　to　probe　information　reaches　to　93.3%　and　is　better　than　that　of　methods　based　single-channel　ERP.　The　method　proposed　has　the　advantages　of　non-invasion　and　better　accuracy,　which　could　be　used　to　identify　mentality　facticity　effectively.