Elevated emotion network connectivity is associated with fluctuations in depression

Area of Science:

• Psychology
• Neuroscience
• Computational Psychiatry

Background:

• Elevated emotion network connectivity is hypothesized to increase vulnerability to depression.
• The precise mechanism linking network connectivity to depression severity remains unclear.

Purpose of the Study:

• To investigate the relationship between emotion network connectivity and depression.
• To determine if connectivity is associated with depression severity or its variability over time.

Main Methods:

• Data collected from two independent samples (students and citizen scientists) using smartphone-based emotion ratings and weekly depression questionnaires over 8 weeks.
• Personalized emotion networks constructed to analyze connectivity.
• Statistical analysis to assess associations between network connectivity, depression severity, and depression variance.

Main Results:

• Network connectivity positively associated with baseline depression severity in citizen scientists, but not paid students.
• Eight-week depression variance correlated with network connectivity in both samples.
• When controlling for depression variance, the association between connectivity and baseline depression severity in citizen scientists was no longer significant.
• Findings replicated in an independent community sample (N=519).

Conclusions:

• Elevated emotion network connectivity is associated with greater variability in depression symptoms.
• This variability translates to increased severity only in specific sample populations where mean and variance are more strongly correlated.
• Findings suggest potential for leveraging network connectivity in therapeutic interventions for depression.