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A treatment-resistant default mode subnetwork in major depression.

Baojuan Li1, Li Liu, Karl J Friston

  • 1Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan.

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|January 1, 2013
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Summary

Abnormal functional connectivity in the anterior default mode network (DMN) persists in recovered major depressive disorder (MDD) patients, suggesting a potential biomarker for relapse risk.

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • The default mode network (DMN) is implicated in major depressive disorder (MDD) pathophysiology.
  • Antidepressant treatment effects on DMN functional connectivity remain unclear.
  • High relapse rates in recovered MDD patients suggest persistent neural abnormalities.

Purpose of the Study:

  • To investigate persistent abnormalities in DMN functional connectivity in recovered MDD subjects.
  • To determine if antidepressant treatment normalizes DMN connectivity.
  • To explore the potential of DMN connectivity as a biomarker for MDD relapse.

Main Methods:

  • Resting-state functional magnetic resonance imaging (fMRI) was used.
  • 24 MDD patients and 29 healthy controls were scanned.
  • 18 MDD patients were rescanned after 12 weeks of antidepressant treatment.
  • Group independent component analysis identified DMN subnetworks.
  • Two-sample t tests compared functional connectivity between groups.

Main Results:

  • Two DMN subnetworks (anterior and posterior) were identified.
  • Pretreatment MDD subjects showed increased functional connectivity in both subnetworks compared to controls.
  • Posterior subnetwork connectivity normalized after treatment.
  • Anterior subnetwork connectivity remained abnormally high in recovered MDD subjects.

Conclusions:

  • The DMN dissociates into subnetworks with distinct treatment responses.
  • Persistent abnormal anterior DMN connectivity in recovered MDD may indicate asymptomatic depression.
  • This persistent abnormality could serve as a biomarker for relapse risk in MDD.