Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression.

Journal: JAMA network open
PMID: 31899530

Abstract

IMPORTANCE: Social and economic costs of depression are exacerbated by prolonged periods spent identifying treatments that would be effective for a particular patient. Thus, a tool that reliably predicts an individual patient's response to treatment could significantly reduce the burden of depression.

Authors

  • Andrey Zhdanov
    School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, British Columbia, Canada.
  • Sravya Atluri
    Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
  • Willy Wong
    The Edward S. Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Yasaman Vaghei
    School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, British Columbia, Canada.
  • Zafiris J Daskalakis
    Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
  • Daniel M Blumberger
    Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
  • Benicio N Frey
    Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
  • Peter Giacobbe
    Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
  • Raymond W Lam
    Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
  • Roumen Milev
    Department of Psychiatry and Psychology, Queen's University, Providence Care Hospital, Kingston, ON, Canada.
  • Daniel J Mueller
    Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
  • Gustavo Turecki
    Department of Psychiatry, Douglas Institute, McGill University, Montreal, QC, Canada.
  • Sagar V Parikh
    Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Susan Rotzinger
    Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Claudio N Soares
    Department of Psychiatry, Queen's University School of Medicine, Kingston, ON, Canada.
  • Colleen A Brenner
    Department of Psychology, Loma Linda University, Loma Linda, California.
  • Fidel Vila-Rodriguez
    Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Mary Pat McAndrews
    Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.
  • Killian Kleffner
    Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Esther Alonso-Prieto
    Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Stephen R Arnott
    Rotman Research Institute, Baycrest, Toronto, ON, Canada.
  • Jane A Foster
    Department of Psychiatry & Behavioural Neurosciences, St. Joseph's Healthcare, Hamilton, ON, Canada.
  • Stephen C Strother
    Baycrest and Department of Medical Biophysics, Rotman Research Center, University of Toronto, Toronto, ON, Canada.
  • Rudolf Uher
    Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
  • Sidney H Kennedy
    Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Faranak Farzan
    eBrain Lab, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada.

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