This　study　investigates　the　network　mechanisms　of　temporal　lobe　epilepsy　(TLE)　using　MEG　data,　focusing　on　directed　connectivity　networks　across　different　frequency　bands.　Unlike　previous　studies　that　primarily　localize　epileptogenic　zones,　this　research　aims　to　explore　whole-brain　network　differences　between　left　TLE　(lTLE),　right　TLE　(rTLE),　and　healthy　controls　(HCs).　MEG　data　from　13　lTLE　patients,　21　rTLE　patients,　and　14　HCs　were　source-reconstructed　to　116　brain　regions　(AAL116).　Directed　Transfer　Function　(DTF)　was　used　to　construct　directed　connectivity　networks,　followed　by　networks　and　graph-theoretical　analyses.　The　results　indicate　that,　compared　to　HCs,　TLE　subjects　exhibited　a　significant　increase　in　average　connectivity　strength　in　the　Low　Gamma　band.　The　connectivity　patterns　across　frequency　bands　in　TLE　patients　were　found　to　be　unstable.　Both　HC　and　TLE　subjects　demonstrated　left　hemisphere　lateralization.　In　the　mid-to-low　frequency　bands,　TLE　subjects　showed　increases　in　global　clustering　coefficient　(GCC),　global　characteristic　path　length　(GCPL),　and　local　efficiency　(LE)　compared　to　HCs,　which　is　attributed　to　enhanced　synchronization　between　local　brain　regions　in　TLE　subjects.