Research Article
Detecting Abnormal Brain Regions in Schizophrenia Using Structural MRI via Machine Learning
Table 5
Abnormal brain regions (biomarkers) of WM.
| Location | Region of interest (ROI) | Size of cluster | MNI coordinates | value | AAL | BA | JHU | | X | Y | Z |
| lCbe8 | 103 | — | — | 76 | −30 | −58.5 | −52.5 | 0.05 | rCbe8 | 104 | — | — | 79 | 37.5 | −50 | −40.5 | 0.05 | rCbe9 | 106 | — | — | 53 | 7.5 | −50 | −45 | 0.05 | FFG.R | 56 | 20 | — | 256 | 36 | −12.5 | −34.5 | 0.05 | ITG.R | 90 | 36 | — | 78 | 32.5 | −1 | −41.5 | 0.05 | lCbe9 | 105 | — | — | 67 | −9 | −57 | −43.5 | 0.05 | FFG.L | 55 | 20 | — | 94 | −32.5 | −10.5 | −30 | 0.05 | FFG.R | 56 | 18 | — | 66 | 30 | −81.5 | −10 | 0.05 | ORBinf.L | 15 | 47 | — | 61 | −37.5 | 39 | −15 | 0.05 | PUT.R | 74 | 48 | 33 | 136 | 31.5 | 9 | −6 | 0.05 | SOG.R | 50 | 17 | — | 72 | 18 | −102 | −4.5 | 0.05 | THA.R | 78 | — | — | 239 | 16.5 | −30 | −1.5 | 0.05 | PUT.L | 73 | 48 | 34 | 127 | −28.5 | 0 | 4 | 0.05 | SOG.L | 49 | 17 | — | 92 | −12 | −100 | 9 | 0.05 | IFGoperc.L | 11 | 48 | — | 80 | −48 | 13.5 | 15 | 0.05 | CcSum | — | — | 4 | 73 | 1.5 | 15 | 16.5 | 0.05 | MFG.R | 8 | 48 | — | 75 | 37.5 | 34 | 21.5 | 0.05 | CUN.L | 45 | 18 | — | 70 | −7.5 | −79.5 | 22.5 | 0.05 | PoCG.R | 58 | 43 | — | 86 | 63 | −13.5 | 24 | 0.05 | IPL.L | 61 | 40 | — | 70 | −46.5 | −39 | 34.5 | 0.05 | Subgyral | — | — | 26 | 160 | −21 | 6 | 37.5 | 0.05 | PoCG.L | 57 | — | — | 53 | −19.5 | −43.5 | 43.5 | 0.05 | PCUN.R | 68 | — | — | 54 | 13.5 | −49.5 | 48 | 0.05 |
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