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. Author manuscript; available in PMC: 2024 Jun 14.
Published in final edited form as: Mol Psychiatry. 2024 Jan 4;29(4):929–938. doi: 10.1038/s41380-023-02381-9

Fig. 3. Receiver operating characteristic curves for prediction of diagnosis by FSA score and prediction of treatment response.

Fig. 3

Classification of diagnosis and treatment response by FSA scores (panels A–C) and correlation between baseline FSA scores. Each panel represents FSA scores derived from anterior to posterior (AP) and posterior to anterior (PA) phase encoding direction scans, with and without global signal regression. Diagonal line represents chance classification. Panel A represents all the sample, panel B represents the discrimination in diagnosis between non-affective psychosis and healthy controls, and panel C represents the discrimination in diagnosis between affective psychosis and healthy controls. Panel D represents % change in total symptom severity over a course of 12 weeks of antipsychotic treatment in individuals with acute psychosis, also with FSA scores derived from anterior to posterior (AP) and posterior to anterior (PA) phase encoding direction scans, with and without global signal regression. AP Anterior to posterior, FSA Functional Striatal Abnormality score, GSR Global signal regression, NoGSR No global signal regression, PA Posterior to anterior.