Jaya L Padmanabhan1, Neeraj Tandon1, Chiara S Haller, Ian T Mathew1, Shaun M Eack2, Brett A Clementz3, Godfrey D Pearlson4, John A Sweeney5, Carol A Tamminga6, Matcheri S Keshavan7. 1. Department of Psychiatry, Beth Israel Deaconess Medical Center , Boston, MA; Division of Public Psychiatry, Massachusetts Mental Health Center , Boston, MA; 2. School of Social Work, Psychiatry, and Clinical and Translational Sciences Institute, University of Pittsburgh, Pittsburgh, PA; Western Psychiatric Institute and Clinic, Pittsburgh, PA; 3. Departments of Psychiatry and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA; 4. Departments of Psychiatry and Neurobiology, Yale University, New Haven, CT; Olin Neuropsychiatry Research Center, Hartford Hospital/Institute of Living, Hartford, CT; 5. Department of Psychiatry, University of Illinois at Chicago, Chicago, IL; Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX. 6. Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX. 7. Department of Psychiatry, Beth Israel Deaconess Medical Center , Boston, MA; Division of Public Psychiatry, Massachusetts Mental Health Center , Boston, MA; Department of Psychiatry, Harvard Medical School, Boston, MA; mkeshava@bidmc.harvard.edu.
Abstract
INTRODUCTION: Structural alterations may correlate with symptom severity in psychotic disorders, but the existing literature on this issue is heterogeneous. In addition, it is not known how cortical thickness and cortical surface area correlate with symptom dimensions of psychosis. METHODS: Subjects included 455 individuals with schizophrenia, schizoaffective, or bipolar I disorders. Data were obtained as part of the Bipolar Schizophrenia Network for Intermediate Phenotypes study. Diagnosis was made through the Structured Clinical Interview for DSM-IV. Positive and negative symptom subscales were assessed using the Positive and Negative Syndrome Scale. Structural brain measurements were extracted from T1-weight structural MRIs using FreeSurfer v5.1 and were correlated with symptom subscales using partial correlations. Exploratory factor analysis was also used to identify factors among those regions correlating with symptom subscales. RESULTS: The positive symptom subscale correlated inversely with gray matter volume (GMV) and cortical thickness in frontal and temporal regions, whereas the negative symptom subscale correlated inversely with right frontal cortical surface area. Among regions correlating with the positive subscale, factor analysis identified four factors, including a temporal cortical thickness factor and frontal GMV factor. Among regions correlating with the negative subscale, factor analysis identified a frontal GMV-cortical surface area factor. There was no significant diagnosis by structure interactions with symptom severity. CONCLUSIONS: Structural measures correlate with positive and negative symptom severity in psychotic disorders. Cortical thickness demonstrated more associations with psychopathology than cortical surface area.
INTRODUCTION: Structural alterations may correlate with symptom severity in psychotic disorders, but the existing literature on this issue is heterogeneous. In addition, it is not known how cortical thickness and cortical surface area correlate with symptom dimensions of psychosis. METHODS: Subjects included 455 individuals with schizophrenia, schizoaffective, or bipolar I disorders. Data were obtained as part of the Bipolar Schizophrenia Network for Intermediate Phenotypes study. Diagnosis was made through the Structured Clinical Interview for DSM-IV. Positive and negative symptom subscales were assessed using the Positive and Negative Syndrome Scale. Structural brain measurements were extracted from T1-weight structural MRIs using FreeSurfer v5.1 and were correlated with symptom subscales using partial correlations. Exploratory factor analysis was also used to identify factors among those regions correlating with symptom subscales. RESULTS: The positive symptom subscale correlated inversely with gray matter volume (GMV) and cortical thickness in frontal and temporal regions, whereas the negative symptom subscale correlated inversely with right frontal cortical surface area. Among regions correlating with the positive subscale, factor analysis identified four factors, including a temporal cortical thickness factor and frontal GMV factor. Among regions correlating with the negative subscale, factor analysis identified a frontal GMV-cortical surface area factor. There was no significant diagnosis by structure interactions with symptom severity. CONCLUSIONS: Structural measures correlate with positive and negative symptom severity in psychotic disorders. Cortical thickness demonstrated more associations with psychopathology than cortical surface area.
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