Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

Journal: NeuroImage. Clinical
Published Date: Aug 11, 2018

Abstract

BACKGROUND: Clinically approved antidepressants modulate the brain's emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that these modulations can be reliably detected. Here, we apply a cross-validated predictive model to classify emotional valence and pharmacologic effect across eleven task-based fMRI datasets (n = 306) exploring the effect of antidepressant administration on emotional face processing.

Authors

  • Daniel S Barron
    Yale University School of Medicine, New Haven, CT, USA; Yale University Department of Psychiatry, New Haven, CT, USA. Electronic address: daniel.s.barron@yale.edu.
  • Mehraveh Salehi
    Department of Electrical Engineering, Yale University, New Haven, CT, USA; Yale Institute for Network Science, Yale University, New Haven, CT, USA.
  • Michael Browning
    Oxford University Department of Psychiatry, Oxford, United Kingdom; Oxford Health NHS Trust, Oxford, UK.
  • Catherine J Harmer
    Oxford University Department of Psychiatry, Oxford, United Kingdom; Oxford Health NHS Trust, Oxford, UK.
  • R Todd Constable
    Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA.
  • Eugene Duff
    Functional Magnetic Resonance Imaging of the Brain Centre, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Department of Paediatrics, University of Oxford, UK.

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