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Updated: Dec 5, 2025

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Published on: May 19, 2015
Impaired left amygdala resting state functional connectivity in subthreshold depression individuals
Xiaoling Peng1,2, Way K W Lau3,4,5, Chanyu Wang1
1Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Individuals with subthreshold depression (StD) show altered resting-state functional connectivity in the left amygdala, impacting emotion processing networks. These brain changes may offer insights into depression
Area of Science:
- Neuroscience
- Psychiatry
- Brain Imaging
Background:
- Subthreshold depression (StD) presents clinically relevant depressive symptoms below the threshold for Major Depressive Disorder (MDD).
- Understanding StD's pathophysiology is crucial as it may precede MDD development.
- Emotion processing deficits are characteristic of depression, necessitating investigation into neural correlates.
Purpose of the Study:
- To investigate alterations in resting-state functional connectivity (rsFC) of the amygdala in individuals with StD compared to healthy controls.
- To explore the neural underpinnings of emotion processing in StD.
Main Methods:
- Resting-state functional magnetic resonance imaging (rs-fMRI) data acquisition.
- Analysis of rsFC in 59 individuals with StD and 59 matched healthy controls.
- Focus on amygdala connectivity with emotion processing and cognitive control networks.
Main Results:
- Significantly lower rsFC between the left amygdala and the cognitive control network in individuals with StD.
- Reduced left amygdala connectivity with the left insula observed in the StD group.
- Positive association found between left amygdala-left precuneus rsFC and depressive symptom severity in StD.
Conclusions:
- Altered amygdala functional connectivity in StD mirrors findings in MDD, suggesting shared pathophysiological mechanisms.
- These findings contribute to understanding depression's neural basis and may inform targeted treatments for StD.
- Identifying neural markers in StD could aid in predicting progression to MDD.
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