Disentangling dynamic affect trajectories for distinct depression courses during the COVID-19 pandemic

Lunansky, Gabriela; Hoekstra, Ria H. A.; Blanken, Tessa F.

doi:10.31234/osf.io/hv4cb

Cited by 2 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Network simulations predict this exact result; as network connectivity increases, symptoms become more variable (15). Recent empirical evidence for this claim found that emotion network connectivity was positively related to the absolute, but not signed, change in depression severity (16).…”

Section: Introductionmentioning

confidence: 91%

Elevated Emotion Network Connectivity Is Associated with Fluctuations in Depression

Kelley¹,

Fisher²,

Lee³

et al. 2022

Preprint

View full text Add to dashboard Cite

Elevated emotion network connectivity is thought to leave people vulnerable to become and stay depressed. The mechanism through which this arises is however unclear. Here, we test the idea that the connectivity of emotion networks causes people to suffer more extreme fluctuations in depression over time, rather than necessarily more severe depression. We gathered data from 2 independent samples of N=155 paid students and N=194 citizen scientists who rated their positive and negative emotions on a smartphone app twice a day and completed a weekly depression questionnaire for 8 weeks. We constructed thousands of personalised emotion networks for each participant and tested if connectivity was associated with severity of depression or its variance over 8 weeks. Network connectivity was positively associated with baseline depression severity in citizen scientists, but not paid students. In contrast, 8-week variance of depression was 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. We replicated these findings in an independent community sample (N=519). We conclude that elevated network connectivity primarily leads to greater variability in depression symptoms. This variability only translates into increased severity in samples where depression is on average low and positively skewed, causing mean and variance to be more strongly correlated. These findings underscore how emotional network connectivity has bi-directional effects; risk for severe bouts of depression, but also the potential to be harnessed to bring about improvements.

show abstract

Section: Introductionmentioning

confidence: 91%

Elevated Emotion Network Connectivity Is Associated with Fluctuations in Depression

Kelley¹,

Fisher²,

Lee³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…In the case of symptoms that make up a depression sum score, higher covariance between symptoms necessarily increases the variability of a total score ( 16 ). Recent empirical evidence for this claim found that emotion network connectivity was positively related to the absolute, but not signed, change in depression severity ( 17 ).…”

mentioning

confidence: 99%

Elevated emotion network connectivity is associated with fluctuations in depression

Kelley,

Fisher,

Lee

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Elevated emotion network connectivity is thought to leave people vulnerable to become and stay depressed. The mechanism through which this arises is however unclear. Here, we test the idea that the connectivity of emotion networks is associated with more extreme fluctuations in depression over time, rather than necessarily more severe depression. We gathered data from two independent samples of N = 155 paid students and N = 194 citizen scientists who rated their positive and negative emotions on a smartphone app twice a day and completed a weekly depression questionnaire for 8 wk. We constructed thousands of personalized emotion networks for each participant and tested whether connectivity was associated with severity of depression or its variance over 8 wk. Network connectivity was positively associated with baseline depression severity in citizen scientists, but not paid students. In contrast, 8-wk variance of depression was 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. We replicated these findings in an independent community sample ( N = 519). We conclude that elevated network connectivity is associated with greater variability in depression symptoms. This variability only translates into increased severity in samples where depression is on average low and positively skewed, causing mean and variance to be more strongly correlated. These findings, although correlational, suggest that while emotional network connectivity could predispose individuals to severe depression, it could also be leveraged to bring about therapeutic improvements.

show abstract

Disentangling dynamic affect trajectories for distinct depression courses during the COVID-19 pandemic

Cited by 2 publications

References 42 publications

Elevated Emotion Network Connectivity Is Associated with Fluctuations in Depression

Elevated Emotion Network Connectivity Is Associated with Fluctuations in Depression

Elevated emotion network connectivity is associated with fluctuations in depression

Contact Info

Product

Resources

About