Machine learning multivariate pattern analysis predicts classification of posttraumatic stress disorder and its dissociative subtype: a multimodal neuroimaging approach.

Journal: Psychological medicine
PMID: 30306886

Abstract

BACKGROUND: The field of psychiatry would benefit significantly from developing objective biomarkers that could facilitate the early identification of heterogeneous subtypes of illness. Critically, although machine learning pattern recognition methods have been applied recently to predict many psychiatric disorders, these techniques have not been utilized to predict subtypes of posttraumatic stress disorder (PTSD), including the dissociative subtype of PTSD (PTSD + DS).

Authors

  • Andrew A Nicholson
    Department of Neuroscience, Western University, London, ON, Canada.
  • Maria Densmore
    Department of Psychiatry, Western University, London, ON, Canada.
  • Margaret C McKinnon
    Department of Psychiatry and Behavioural Neuroscience, McMaster University, Hamilton, ON, Canada.
  • Richard W J Neufeld
    Department of Neuroscience, Western University, London, ON, Canada.
  • Paul A Frewen
    Department of Neuroscience, Western University, London, ON, Canada.
  • Jean Théberge
    Department of Psychiatry, Western University, London, ON, Canada.
  • Rakesh Jetly
    Canadian Forces, Health Services, Ottawa, Ontario, Canada.
  • J Donald Richardson
    Department of Psychiatry and Behavioural Neuroscience, McMaster University, Hamilton, ON, Canada.
  • Ruth A Lanius
    Department of Neuroscience, Western University, London, ON, Canada.

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