Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches.

Journal: Schizophrenia research
Published Date: Aug 19, 2019

Abstract

BACKGROUND: Recently, a biologically-driven psychosis classification (B-SNIP Biotypes) was derived using brain-based cognitive and electrophysiological markers. Here, we characterized a local functional-connectivity measure, regional homogeneity (ReHo), as a biomarker across Biotypes and conventional DSM diagnoses.

Authors

  • Lanxin Ji
    Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA; Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China.
  • Shashwath A Meda
    Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA.
  • Carol A Tamminga
    Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Brett A Clementz
    Department of Psychology, University of Georgia, Athens, Georgia.
  • Matcheri S Keshavan
    BethIsrael Deaconess Medical Center, United States; Harvard Medical School, United States. Electronic address: mkeshava@bidmc.harvard.edu.
  • John A Sweeney
    Department of Radiology, the Center for Medical Imaging, West China Hospital of Sichuan University, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, USA.
  • Elliot S Gershon
    Department of Psychiatry, University of Chicago, Chicago, IL, USA.
  • Godfrey D Pearlson
    Olin Neuropsychiatry Research Center, Hartford Hospital (IOL Campus), Hartford, CT, USA; Department of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT, USA.

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