Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients.

Journal: Acta psychiatrica Scandinavica
Published Date:

Abstract

OBJECTIVE: This study determined the clinical utility of an fMRI classification algorithm predicting medication-class of response in patients with challenging mood diagnoses.

Authors

  • E Osuch
    Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada.
  • S Gao
    Department of Transfusion Medicine, Aichi Medical University, Nagakute, Aichi 480-1195, Japan. sgao0303@aichi-med-u.ac.jp.
  • M Wammes
    Department of Psychiatry, University of Western Ontario Schulich School of Medicine and Dentistry, London, ON, Canada.
  • J Théberge
    Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada.
  • P Willimason
    Department of Psychiatry, University of Western Ontario Schulich School of Medicine and Dentistry, London, ON, Canada.
  • R J Neufeld
    Department of Psychology, University of Western Ontario, London, ON, Canada.
  • Y Du
    The Mind Research Network, Albuquerque, NM, USA.
  • J Sui
    Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • V Calhoun
    The Mind Research Network, Albuquerque, NM, USA.