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Resting state functional connectivity in patients with remitted psychotic depression: A multi-centre STOP-PD study
Open Access Articles
  • Nicholas H. Neufeld, University of Toronto
  • Benoit H. Mulsant, University of Toronto
  • Erin W. Dickie, Campbell Family Mental Health Research Institute
  • Barnett S. Meyers, Weill Cornell Medical College
  • George S. Alexopoulos, Weill Cornell Medical College
  • Anthony J. Rothschild, University of Massachusetts Medical School
  • Ellen M. Whyte, University of Pittsburgh
  • Matthew J. Hoptman, New York University
  • Arash Nazeri, Washington University
  • Jonathan Downar, University of Toronto
  • Alastair J. Flint, University of Toronto
  • Aristotle N. Voineskos, University of Toronto
UMMS Affiliation
Department of Psychiatry
Publication Date
2018-10-1
Document Type
Article
Abstract

BACKGROUND: There is paucity of neurobiological knowledge about major depressive disorder with psychotic features ("psychotic depression"). This study addresses this knowledge gap by using resting state functional magnetic resonance imaging (R-fMRI) to compare functional connectivity in patients with psychotic depression and healthy controls.

METHODS: We scanned patients who participated in a randomized controlled trial as well as healthy controls. All patients achieved remission from depressive and psychotic symptoms with sertraline and olanzapine. We employed Independent Component Analysis in independent samples to isolate the default mode network (DMN) and compared patients and controls.

FINDINGS: The Toronto sample included 28 patients (mean [SD], age 56.2 [13.7]) and 39 controls (age 55.1 [13.5]). The Replication sample included 29 patients (age 56.1 [17.7]) and 36 controls (age 48.3 [17.9]). Patients in the Toronto sample demonstrated decreased between-network functional connectivity between the DMN and bilateral insular, somatosensory/motor, and auditory cortices with peak activity in the right planum polare (t=4.831; p=0.001, Family Wise Error (FWE) corrected). A similar pattern of between-network functional connectivity was present in our Replication sample with peak activity in the right precentral gyrus (t=4.144; p=0.003, FWE corrected).

INTERPRETATION: Remission from psychotic depression is consistently associated with an absence of increased DMN-related functional connectivity and presence of decreased between-network functional connectivity. Future research will evaluate this abnormal DMN-related functional connectivity as a potential biomarker for treatment trajectories.

FUNDING: National Institute of Mental Health.

Keywords
  • Biomarkers,
  • Default mode network,
  • Functional connectivity,
  • Major depressive disorder,
  • Psychosis,
  • Remission
Rights and Permissions
©2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
DOI of Published Version
10.1016/j.ebiom.2018.09.025
Source

EBioMedicine. 2018 Oct;36:446-453. doi: 10.1016/j.ebiom.2018.09.025. Epub 2018 Oct 1. Link to article on publisher's site

Related Resources

Link to Article in PubMed

PubMed ID
30287158
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Citation Information
Nicholas H. Neufeld, Benoit H. Mulsant, Erin W. Dickie, Barnett S. Meyers, et al.. "Resting state functional connectivity in patients with remitted psychotic depression: A multi-centre STOP-PD study" Vol. 36 (2018) ISSN: 2352-3964 (Linking)
Available at: http://works.bepress.com/anthony_rothschild/150/