Objective:　This　study　compares　the　clinical　features　of　Treatment-Resistant　Schizophrenia　(TRS)　and　Non-Treatment-Resistant　Schizophrenia　(NTRS)　using　network　analysis.　Methods:　We　recruited　511　patients,　dividing　them　into　TRS　(N　=　269)　and　NTRS　(N　=　242)　groups.　Eight　scales　were　used:　Positive　and　Negative　Syndrome　Scale　(PANSS),　Positive　Symptom　Assessment　Scale　(SAPS),　Scale　for　Assessment　of　Negative　Symptoms　(SANS),　Simpson-Angus　Scale　(SAS),　Abnormal　Involuntary　Movements　Scale　(AIMS),　Barnes　Akathisia　Rating　Scale　(BARS),　Calgary　Schizophrenia　Depression　Scale　(CDSS),　and　Global　Assessment　of　Functioning　Scale　(GAF).　Demographic　and　clinical　data　were　analyzed　using　T-tests　and　Chi-square　tests.　Network　analysis　was　then　applied　to　compare　clinical　features.　Results:　Significant　differences　were　found　in　the　overall　architectures　(S　=　1.396,　p　＜　0.002)　and　edge　weights　(M　=　0.289,　p　＜　0.009)　of　TRS　and　NTRS　networks.　Nine　edges　(p　＜　0.05)　and　five　nodes　(p　＜　0.01)　differed,　indicating　a　correlation　between　clinical　symptoms　of　the　two　groups.　TRS　core　symptoms　were　linked　to　social　functions　through　both　positive　(SAPS)　and　negative　symptoms　(SANS),　while　NTRS　core　symptoms　were　related　to　general　psychopathological　symptoms　(PANSS-G).　Conclusion:　For　TRS,　it　is　essential　to　address　both　negative　and　positive　symptoms,　focusing　on　the　impact　of　negative　symptoms　on　functioning.　Additionally,　managing　medication　side　effects　is　crucial　to　avoid　worsening　negative　symptoms.　Copyright　©　2025　Li,　Zhao,　Hu　and　Zhang.