Daily Affective Dynamics Predict Depression Symptom Trajectories Among Adults with Major and Minor Depression

Panaite, Vanessa; Rottenberg, Jonathan; Bylsma, Lauren M.

doi:10.1007/s42761-020-00014-w

Cited by 38 publications

(35 citation statements)

References 45 publications

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“…There is some evidence that emotional functioning may predict the course of depression (see Morris et al., 2009, for review). Along these lines, we have also observed in separate studies that patterns of daily life emotional dynamics (Panaite et al., 2020) and autonomic responding (Panaite et al., 2016) predict the naturalistic course of depression in adults. Other work has found that baseline RSA predicts depression symptoms 1 year later among healthy emerging adults (Yaptangco et al., 2015).…”

Section: The Influence Of Development and Early Environmental Factorssupporting

confidence: 59%

Emotion context insensitivity in depression: Toward an integrated and contextualized approach

Bylsma

2020

Psychophysiology

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Major depressive disorder (MDD) is characterized by pervasive mood disturbance as well as deficits in emotional processing, reactivity, and regulation. There is accumulating evidence that MDD is characterized by emotional patterns consistent with environmental disengagement, as reflected in attenuated positive and negative emotional reactivity, consistent with Emotion Context Insensitivity (ECI) theory. However, MDD individuals vary considerably in the extent to which they exhibit specific alterations in patterns of emotional responding. Emotions are complex, multicomponent processes that invoke responses across multiple functional domains and levels of analysis, including subjective experience, behavior, autonomic regulation, cognition, and neural processing. In this article, I review the current state of the literature on emotional responding and MDD from the lens of ECI. I focus on the importance of assessing emotional indices from multiple levels of analysis across development and contexts. I also discuss methodological and measurement issues that may contribute to inconsistent findings. In particular, I emphasize how psychophysiological measures can help elucidate emotional processes that underlie the pathophysiology of MDD as part of an integrated and contextualized approach.

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Section: The Influence Of Development and Early Environmental Factorssupporting

confidence: 59%

Emotion context insensitivity in depression: Toward an integrated and contextualized approach

Bylsma

2020

Psychophysiology

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“…In particular, while positive and negative affects are similarly weighted in SWB measures ( 44 ), depression is frequently characterized by more substantial and nuanced changes in negative affect ( 45 , 46 ). Thus, the results presented here suggest that the greater number of social connections in larger cities on the whole may provide a social buffer against negative affect and depression in the most vulnerable people (i.e., those with the smallest social networks).…”

Section: Discussionmentioning

confidence: 99%

Evidence and theory for lower rates of depression in larger US urban areas

Stier

Schertz

Rim

et al. 2021

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

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It is commonly assumed that cities are detrimental to mental health. However, the evidence remains inconsistent and at most, makes the case for differences between rural and urban environments as a whole. Here, we propose a model of depression driven by an individual’s accumulated experience mediated by social networks. The connection between observed systematic variations in socioeconomic networks and built environments with city size provides a link between urbanization and mental health. Surprisingly, this model predicts lower depression rates in larger cities. We confirm this prediction for US cities using four independent datasets. These results are consistent with other behaviors associated with denser socioeconomic networks and suggest that larger cities provide a buffer against depression. This approach introduces a systematic framework for conceptualizing and modeling mental health in complex physical and social networks, producing testable predictions for environmental and social determinants of mental health also applicable to other psychopathologies.

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“…Yet, there are important between-person differences in affect variability. At the extreme, individuals with depression report greater variability in negative affect relative to those without depression (Koval et al, 2013;Lamers et al, 2018;Peeters et al, 2006;Wichers et al, 2010), and greater variability predicts future affect disorder onset and episode recurrence (Houben et al, 2015;Ong & Ram, 2017;Panaite et al, 2020;Wichers et al, 2010).…”

Section: Controllability Of Structural Brain Network and The Waxing And Waning Of Negative Affect In Daily Lifementioning

confidence: 99%

Controllability of structural brain networks and the waxing and waning of negative affect in daily life

McGowan¹,

Parkes²,

He³

et al. 2021

Preprint

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The waxing and waning of negative affect in daily life is normative, reflecting an adaptive capacity to respond flexibly to changing circumstances. Here, we provide insight into facets of brain structure that may enable negative affect variability in daily life. We use diffusion spectrum imaging data from 95 young adults (Mage = 20.19 years, SDage = 1.80; 56 women) to construct structural connectivity networks that map white matter fiber connections between 200 cortical and 14 sub-cortical regions. We apply network control theory to these structural networks to estimate the degree to which each brain region’s pattern of structural connectivity facilitates the spread of activity to other brain systems (i.e., the region’s average controllability). We examine how the average controllability of functional brain systems relates to negative affect variability, computed by taking the standard deviation of negative affect self-reports collected via smartphone-based experience-sampling twice per day over 28 days as participants went about their daily lives. We find that high average controllability of the cingulo-insular system is associated with increased negative affect variability. Our results highlight the role brain structure plays in affective dynamics as observed in the context of daily life.

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Daily Affective Dynamics Predict Depression Symptom Trajectories Among Adults with Major and Minor Depression

Cited by 38 publications

References 45 publications

Emotion context insensitivity in depression: Toward an integrated and contextualized approach

Emotion context insensitivity in depression: Toward an integrated and contextualized approach

Evidence and theory for lower rates of depression in larger US urban areas

Controllability of structural brain networks and the waxing and waning of negative affect in daily life

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