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Published on: December 6, 2024
Perceived stress modulates the activity between the amygdala and the cortex.
Inês Caetano1,2,3, Sónia Ferreira1,2,3, Ana Coelho1,2,3
1Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.
High perceived stress is linked to altered brain connectivity, specifically increased amygdala-frontal synchrony. This suggests disrupted brain communication patterns may underlie stress-related changes in healthy individuals.
Area of Science:
- Neuroscience
- Psychiatry
- Functional Neuroimaging
Background:
- Stress significantly impacts brain function and is linked to psychiatric disorders.
- Previous research shows a correlation between perceived stress and amygdala volume in healthy individuals.
- The functional mechanisms underlying this association remain unclear.
Purpose of the Study:
- To investigate the functional connectivity alterations associated with perceived stress.
- To explore the relationship between perceived stress and dynamic brain connectivity patterns.
- To understand how perceived stress affects amygdala connectivity with other brain regions.
Main Methods:
- Utilized resting-state functional magnetic resonance imaging (fMRI) data from 252 healthy subjects.
- Performed seed-based amygdala connectivity analysis (static connectivity).
- Employed a whole-brain, data-driven approach to analyze dynamic connectivity and phase interactions.
Main Results:
- Increased perceived stress correlated with heightened amygdala connectivity to frontal cortical regions.
- This heightened connectivity was associated with a decreased occurrence of anti-correlated activity between the amygdala and hippocampus.
- Dynamic connectivity analysis revealed altered phase synchrony patterns.
Conclusions:
- Reinforces the detrimental impact of in-phase synchrony between subcortical and cortical brain areas under stress.
- Highlights the protective role of counterbalanced (phase-shifted) activity between brain subsystems.
- Suggests dynamic connectivity analysis offers insights missed by traditional correlation-based methods.
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