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Updated: Jun 6, 2025

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
Published on: May 19, 2015
Functional connectivity profiles in remitted depression and their relation to ruminative thinking
Zhuo Fang1, Emma Lynn2, Verner J Knott2
1University of Ottawa Institute of Mental Health Research, ON, Canada.
Brain network connectivity in major depressive disorder (MDD) remission differs during emotional tasks. Remitted MDD patients show altered default mode network (DMN), central executive network (CEN), and salience network (SN) functional connectivity.
Area of Science:
- Neuroscience
- Psychiatry
- Cognitive Science
Background:
- The triple network model posits that the default mode network (DMN), central executive network (CEN), and salience network (SN) are crucial for cognitive function.
- Dysfunction in these networks is linked to major depressive disorder (MDD), but alterations during remission, especially during affective cognition tasks, are understudied.
Purpose of the Study:
- To investigate functional connectivity (FC) within and between the DMN, CEN, and SN in individuals in remission from MDD (rMDD) compared to healthy volunteers (HVs).
- To examine FC changes during rest versus an emotional Stroop (eStroop) task, a measure of affective cognition.
- To explore the relationship between FC and rumination in the rMDD group.
Main Methods:
- Compared FC during rest and eStroop task conditions between rMDD and HV groups.
- Analyzed connectivity within and between the DMN, CEN, and SN.
- Correlated FC with measures of rumination (hopelessness and problem-solving).
Main Results:
- Across groups, task performance increased DMN connectivity while decreasing CEN and SN connectivity.
- These task-related changes were more pronounced in the rMDD group.
- The rMDD group exhibited higher DMN-CEN connectivity overall, and this correlated with rumination subtypes.
Conclusions:
- Affective cognition tasks modulate large-scale brain network connectivity, with distinct patterns observed in individuals with rMDD.
- These findings suggest potential compensatory mechanisms in rMDD and highlight the dynamic nature of brain network function during depression remission.
- Further research with larger samples is needed to confirm these exploratory findings.
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