Strategies and foundations for scientific discovery in longitudinal studies of bipolar disorder

McInnis, Melvin G.; Andreassen, Ole A.; Andreazza, Ana Cristina; Alon, Uri; Berk, Michael; Brister, Teri; Burdick, Katherine E.; Cui, Donghong; Frye, Mark A.; Leboyer, Marion; Mitchell, Philip B.; Merikangas, Kathleen R.; Nierenberg, Andrew A.; Nürnberger, John I.; Pham, Dániel; Solé, Brisa; Yatham, Lakshmi N.; Young, Allan H.

doi:10.1111/bdi.13198

Cited by 19 publications

(16 citation statements)

References 105 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, because of the relatively small sample sizes (maximum n = 329), additional nodes (e.g., demographics, comorbid psychiatric symptoms, traumatic experiences in adulthood) could not be included. Constructing more inclusive networks in BD may represent a valuable avenue for further studies, but will require larger cohorts 53 . Finally, the present networks were based on cross‐sectional data only.…”

Section: Discussionmentioning

confidence: 99%

Childhood trauma and depressive symptoms in bipolar disorder: A network analysis

Wrobel

Cotton

Jayasinghe

et al. 2023

Acta Psychiatr Scand

Self Cite

View full text Add to dashboard Cite

Background Childhood trauma is related to an increased number of depressive episodes and more severe depressive symptoms in bipolar disorder. The evaluation of the networks of depressive symptoms—or the patterns of relationships between individual symptoms—among people with bipolar disorder with and without a history of childhood trauma may assist in further clarifying this complex relationship. Methods Data from over 500 participants from the Heinz C. Prechter Longitudinal Study of Bipolar Disorder were used to construct a series of regularised Gaussian Graphical Models. The networks of individual depressive symptoms—self‐reported (Patient Health Questionnaire—9; n = 543) and clinician‐rated (Hamilton Depression Rating Scale—17; n = 529)—among participants with bipolar disorder with and without a history of childhood trauma (Childhood Trauma Questionnaire) were characterised and compared. Results Across the sets of networks, depressed mood consistently emerged as a central symptom (as indicated by strength centrality and expected influence); regardless of participants' history of childhood trauma. Additionally, feelings of worthlessness emerged as a key symptom in the network of self‐reported depressive symptoms among participants with—but not without—a history of childhood trauma. Conclusion The present analyses—although exploratory—provide nuanced insights into the impact of childhood trauma on the presentation of depressive symptoms in bipolar disorder, which have the potential to aid detection and inform targeted intervention development.

show abstract

Section: Discussionmentioning

confidence: 99%

Childhood trauma and depressive symptoms in bipolar disorder: A network analysis

Wrobel

Cotton

Jayasinghe

et al. 2023

Acta Psychiatr Scand

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recordings must also cover manic, depressive, and euthymic phases, as well as longer-term illness progression. Designing and funding such studies is a pressing challenge [ 60 – 63 ].…”

Section: Discussionmentioning

confidence: 99%

A critical evaluation of dynamical systems models of bipolar disorder

et al. 2022

View full text Add to dashboard Cite

Bipolar disorder (BD) is a mood disorder involving recurring (hypo)manic and depressive episodes. The inherently temporal nature of BD has inspired its conceptualization using dynamical systems theory, which is a mathematical framework for understanding systems that evolve over time. In this paper, we provide a critical review of the dynamical systems models of BD. Owing to the heterogeneity of methodological and experimental designs in computational modeling, we designed a structured approach that parallels the appraisal of animal models by their face, predictive, and construct validity. This tool, the validity appraisal guide for computational models (VAG-CM), is not an absolute measure of validity, but rather a guide for a more objective appraisal of models in this review. We identified 26 studies published before November 18, 2021 that proposed generative dynamical systems models of time-varying signals in BD. Two raters independently applied the VAG-CM to the included studies, obtaining a mean Cohen’s κ of 0.55 (95% CI [0.45, 0.64]) prior to establishing consensus ratings. Consensus VAG-CM ratings revealed three model/study clusters: data-driven models with face validity, theory-driven models with predictive validity, and theory-driven models lacking all forms of validity. We conclude that future modeling studies should employ a hybrid approach that first operationalizes BD features of interest using empirical data to achieve face validity, followed by explanations of those features using generative models with components that are homologous to physiological or psychological systems involved in BD, to achieve construct validity. Such models would be best developed alongside long-term prospective cohort studies involving a collection of multimodal time-series data. We also encourage future studies to extend, modify, and evaluate the VAG-CM approach for a wider breadth of computational modeling studies and psychiatric disorders.

show abstract

“…Automated collection of selected measures by remote sensing using digital technologies offers promise, and such large scale data are amenable to artificial intelligence methodologies. Large scale and long duration international longitudinal cohort studies with repeated multiple biomarkers that span peripheral blood measures, electrophysiology, neuroimaging and cognitive neuro science, mirrored by deep clinical phenotyping, are likely to be a path forward -the planned BD 2 Integrated Network for Bipolar Disorder is an exemplar 9 .…”

Section: Biomarkers In Psychiatric Disorders: Status Quo Impediments ...mentioning

confidence: 99%

“…Symp tom networks, extremes on symptom dimensions, and intense brain circuitry activations can be normal or abnormal depend ing on context. These proposals, whatever their merits, rearrange the symptomatic deck chairs on our nosological Titanic without addressing the root problem: i.e., that DSM psychiatric nosology is sinking due to lack of attention to the evolved nature of human normality, yielding invalid normal/disorder demarcations 9 .…”

mentioning

confidence: 99%