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Updated: Apr 5, 2026

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
Published on: February 1, 2012
Inter-individual differences in the experience of negative emotion predict variations in functional brain
Raluca Petrican1, Cristina Saverino2, R Shayna Rosenbaum3
1Rotman Research Institute, Toronto, ON M6A 2E1, Canada.
Negative emotions and mood symptoms have distinct brain network patterns. Sadness and depression weaken attention networks, while anger and anxiety strengthen them, showing unique neural signatures for affective states.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Affective Neuroscience
Background:
- The dorsal attention network (DAN) and default mode network (DMN) support external and internal cognition.
- The frontoparietal control network (FPC) regulates DAN and DMN interactions.
- Understanding links between these networks and non-clinical affective variations is limited.
Purpose of the Study:
- Investigate intrinsic functional interactions among DAN, DMN, and FPC.
- Examine relationships between these network interactions and affective states/symptoms.
- Clarify neural underpinnings of non-clinical affective functioning.
Main Methods:
- Used functional magnetic resonance imaging (fMRI) to measure intrinsic functional connectivity.
- Analyzed data from 162 participants in the Human Connectome Project.
- Assessed current negative emotions, subclinical depressive, and anxiety symptoms.
Main Results:
- Overall DAN dominance was observed, modulated by emotion and symptoms.
- Sadness and depression predicted weaker DAN-FPC connectivity (reduced external attention).
- Anger and anxiety predicted stronger DAN-FPC connectivity (and weaker DMN-FPC coupling for anxiety).
Conclusions:
- Distinct affective states and subclinical mood symptoms exhibit dissociable neural signatures.
- Findings highlight the interplay between cognitive networks and emotional states.
- Neural patterns reflect the symbiotic relationship between cognition and emotion.
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