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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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The default mode network and self-referential processes in depression.

Yvette I Sheline1, Deanna M Barch, Joseph L Price

  • 1Department of Psychiatry, Washington University, St. Louis, MO 63110, USA. yvette@npg.wustl.edu

Proceedings of the National Academy of Sciences of the United States of America
|January 28, 2009
PubMed
Summary
This summary is machine-generated.

Major depression is linked to impaired regulation of the brain's default mode network (DMN). Depressed individuals show heightened DMN activity and a failure to down-regulate responses to negative stimuli, unlike healthy controls.

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Neuroscience

Background:

  • The default mode network (DMN) is crucial for self-referential processing.
  • Alterations in DMN structure and function are implicated in major depression.
  • Understanding DMN network dynamics in depression is essential for elucidating pathophysiology.

Purpose of the Study:

  • To investigate DMN network functionality in patients with major depression.
  • To determine if depressed individuals exhibit impaired regulation of DMN activity.
  • To explore the DMN's role in self-referential processing deficits in depression.

Main Methods:

  • Functional neuroimaging (fMRI) was used to examine DMN activity.
  • Participants (depressed patients and controls) passively viewed and actively reappraised negative images.
  • Activity was measured in key DMN regions, including the ventromedial prefrontal cortex, anterior cingulate, and lateral parietal cortex.

Main Results:

  • Depressed subjects failed to reduce DMN activity during both passive viewing and active reappraisal of negative stimuli.
  • Control subjects successfully down-regulated DMN activity.
  • Depressed individuals showed increased amygdala, parahippocampus, and hippocampus activity in response to negative images.

Conclusions:

  • Depression is characterized by heightened DMN activity and a failure to down-regulate this network.
  • These findings suggest a neural network framework for understanding depression's self-referential thought patterns.
  • Impaired DMN regulation may contribute to the pathophysiology of major depression.