Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients.

Journal: The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
Published Date: Jun 1, 2016

Abstract

OBJECTIVES: This study investigates whether abnormal neural oscillations, which have been shown to precede the onset of frank psychosis, could be used towards the individualised prediction of psychosis in clinical high-risk patients.

Authors

  • Avinash Ramyead
    a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland.
  • Erich Studerus
    a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland.
  • Michael Kometer
    b Neuropsychopharmacology and Brain Imaging Research Unit, University Hospital of Psychiatry , Zurich , Switzerland.
  • Martina Uttinger
    a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland.
  • Ute Gschwandtner
    c Department of Neurology , University Hospital Basel , Basel , Switzerland.
  • Peter Fuhr
    c Department of Neurology , University Hospital Basel , Basel , Switzerland.
  • Anita Riecher-Rössler
    Department of Psychiatry, University of Basel, Basel, Switzerland.

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