Future Research Directions in the Positive Valence Systems: Measurement, Development, and Implications for Youth Unipolar Depression

Olino, Thomas M.

doi:10.1080/15374416.2015.1118694

Cited by 45 publications

(55 citation statements)

References 279 publications

(306 reference statements)

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“…First, low PA was associated with the p factor in Sample 1 (ages 9–17), but not Sample 2 (ages 5–11). PA is a multifaceted temperament construct that includes many dimensions, including valence, sociability, reward, and function (Olino, 2016; Zeman et al, 2007). It may be that the association between PA and the p factor depends on the precise nature of temperament PA that is measured in a particular study.…”

Section: Discussionmentioning

confidence: 99%

“…Second, potential mechanisms that may underlie associations between temperament and latent psychopathology dimensions were not examined. Future research can investigate processes, including learning processes (punishment for NA), reward learning and sensitivity for PA (Olino, 2016), executive functioning process for EC (Snyder et al, 2015), and common genetic influences (Tackett, et al, 2013). Third, only main effect associations were investigated.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Temperament factors and dimensional, latent bifactor models of child psychopathology: Transdiagnostic and specific associations in two youth samples

Hankin

Davis

Snyder

et al. 2017

Psychiatry Research

102

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Common emotional and behavioral symptoms co-occur and are associated with core temperament factors. This study investigated links between temperament and dimensional, latent psychopathology factors, including a general common psychopathology factor (p factor) and specific latent internalizing and externalizing liabilities, as captured by a bifactor model, in two independent samples of youth. Specifically, we tested the hypothesis that temperament factors of negative affectivity (NA), positive affectivity (PA), and effortful control (EC) could serve as both transdiagnostic and specific risks in relation to recent bifactor models of child psychopathology. Sample 1 included 571 youth (average age 13.6, SD = 2.37, range 9.3–17.5) with both youth and parent report. Sample 2 included 554 preadolescent children (average age 7.7, SD = 1.35, range = 5–11 years) with parent report. Structural equation modeling showed that the latent bifactor models fit in both samples. Replicated in both samples, the p factor was associated with lower EC and higher NA (transdiagnostic risks). Several specific risks replicated in both samples after controlling for co-occurring symptoms via the p factor: internalizing was associated with higher NA and lower PA, lower EC related to externalizing problems.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Temperament factors and dimensional, latent bifactor models of child psychopathology: Transdiagnostic and specific associations in two youth samples

Hankin

Davis

Snyder

et al. 2017

Psychiatry Research

102

View full text Add to dashboard Cite

show abstract

“…There has been extensive theorizing about adolescent brain development as it relates to changes in reward sensitivity (e.g., Forbes & Dahl, 2012; Olino, in press). Adolescents, relative to children and adults, demonstrate heightened responsivity to rewards across multiple measurement strategies including self-reports of BAS (Pagliaccio et al, in press), reward pursuit behaviors (Anokhin, Golosheykin, & Mulligan, 2015), and neural indices of reward processing (e.g., Forbes, Ryan, et al, 2010).…”

Section: The Reward Systemmentioning

confidence: 99%

Role of Reward Sensitivity and Processing in Major Depressive and Bipolar Spectrum Disorders

et al. 2016

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Since Costello’s (1972) seminal Behavior Therapy article on loss of reinforcers or reinforcer effectiveness in depression, the role of reward sensitivity and processing in both depression and bipolar disorder has become a central area of investigation. In this article, we review the evidence for a model of reward sensitivity in mood disorders, with unipolar depression characterized by reward hyposensitivity and bipolar disorders by reward hypersensitivity. We address whether aberrant reward sensitivity and processing are correlates of, mood-independent traits of, vulnerabilities for, and/or predictors of the course of depression and bipolar spectrum disorders, covering evidence from self-report, behavioral, neurophysiological, and neural levels of analysis. We conclude that substantial evidence documents that blunted reward sensitivity and processing are involved in unipolar depression and heightened reward sensitivity and processing are characteristic of hypomania/mania. We further conclude that aberrant reward sensitivity has a trait component, but more research is needed to clearly demonstrate that reward hyposensitivity and hypersensitivity are vulnerabilities for depression and bipolar disorder, respectively. Moreover, additional research is needed to determine whether bipolar depression is similar to unipolar depression and characterized by reward hyposensitivity, or whether like bipolar hypomania/mania, it involves reward hypersensitivity.

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“…RDoC is a framework that aims to provide an integrative understanding of psychopathological mechanisms, from genes to neural circuits to behavior. Given the cardinal symptoms of depression, RDoC investigations of adolescent depression have naturally focused on measures within the negative valence (e.g., negative emotionality; Gore & Widiger, 2018;Woody & Gibb, 2015), positive valence (e.g., novelty seeking; Olino, 2016;Ortin et al, 2012), and cognitive systems (e.g., verbal reasoning and knowledge) (Goodall et al, 2018). However, developmentally-sensitive RDoC investigations are rare (Franklin et al, 2015) and few studies have examined the extent to which the RDoC subconstructs relate to trajectories of depression over time.…”

Section: Genetics Rdoc and Trajectories Of Depressionmentioning

confidence: 99%

RDoC Mechanisms of Transdiagnostic Polygenic Risk for Trajectories of Depression: From Early Adolescence to Adulthood

Zhang

2020

Preprint

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There is substantial heterogeneity in the development of depression across early adolescence into adulthood. Yet, little is known about the risk factors underlying individual differences in the development of depression. For instance, despite the discovery of genetic variants for depression, there is also significant genetic overlap between depression and other mental disorders. Thus, depression may have etiologically complex (i.e., transdiagnostic) origins when accounting for its heterogeneous developmental presentations. This study examined the association between a transdiagnostic polygenic score for psychopathology (p-factor PGS) and depressive trajectories, spanning early adolescence into adulthood, in the National Longitudinal Study of Adolescent to Adult Health. We also examined whether the Research Domains Criteria (RDoC) negative valence (i.e., negative emotionality), positive valence (i.e., novelty seeking), and cognitive systems (i.e., picture vocabulary) could explain how the p-factor PGS eventuates into the various pathways of depressive development. Four trajectories of depression were identified: low depression (78.9%), low increasing (7.3%), high declining (8.2%), and early adult peaked (5.7%). The p-factor PGS was only associated with the trajectory that showed increasing depression over time -low increasing. There was also a specific indirect effect by which the association of p-factor PGS on early adult peaked and high declining depression was partially mediated by negative emotionality, but not by picture vocabulary or novelty seeking.Our findings reinforce the crucial role of development in genetically-informed RDoC models of depression, as there appear to be distinct correlates and risk factors that underlie the various developmental pathways of depression. Clinical implications were also discussed.General Scientific Summary: There are individual differences in how depression symptoms progress over time, but little is known about the risk factors that underlie these various patterns of development. This study suggests that there are distinct correlates and risk factors that underlie the various developmental pathways of depression. We found that transdiagnostic polygenic risks for psychopathology are directly associated with worsening patterns of adolescent to adult depression and indirectly associated with the less severe patterns of depression via negative emotionality.

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Future Research Directions in the Positive Valence Systems: Measurement, Development, and Implications for Youth Unipolar Depression

Cited by 45 publications

References 279 publications

Temperament factors and dimensional, latent bifactor models of child psychopathology: Transdiagnostic and specific associations in two youth samples

Temperament factors and dimensional, latent bifactor models of child psychopathology: Transdiagnostic and specific associations in two youth samples

Role of Reward Sensitivity and Processing in Major Depressive and Bipolar Spectrum Disorders

RDoC Mechanisms of Transdiagnostic Polygenic Risk for Trajectories of Depression: From Early Adolescence to Adulthood

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