ArticlePsychological medicine2020
Personalized models of personality disorders: using a temporal network method to understand symptomatology and daily functioning in a clinical sample.
Article in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- Implications of the Network Theory for the Treatment of Mental Disorders: A Secondary Analysis of a Randomized Clinical Trial.JAMA psychiatry · 2023Trial
- Examining the Potential of Person-centered Temporal Network Models to Individualize Type 1 Diabetes Care.International journal of behavioral medicine · 2026Article
- Working memory and daily internalizing problems: Pubertal timing moderates adult relations.Journal of affective disorders · 2026Article
- Using the experience sampling method to support clinical practice: An illustration with problematic cannabis use.Psychotherapy research : journal of the Society for Psychotherapy Research · 2024Article
- Callous-Unemotional Traits in Adolescents' Daily Life: Associations with Affect and Emotional and Conduct Problems.Research on child and adolescent psychopathology · 2024Article
- Future Challenges in Psychotherapy Research for Personality Disorders.Current psychiatry reports · 2022Review
- Integrating a functional view on suicide risk into idiographic statistical models.Behaviour research and therapy · 2022Article
- Individualized learning potential in stressful times: How to leverage intensive longitudinal data to inform online learning.Computers in human behavior · 2021Article
- Symptoms as rapidly fluctuating over time: Revealing the close psychological interconnections among borderline personality disorder symptoms via within-person structures.Journal of abnormal psychology · 2021Article
- How are you doing? The person-specificity of daily links between neuroticism and physical health.Journal of psychosomatic research · 2020Article
- Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis.BMC medicine · 2020Article
- Personalized models of psychopathology as contextualized dynamic processes: An example from individuals with borderline personality disorder.Journal of consulting and clinical psychology · 2020Article
- Connections that characterize callousness: Affective features of psychopathy are associated with personalized patterns of resting-state network connectivity.NeuroImage. Clinical · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAn ongoing challenge in understanding and treating personality disorders (PDs) is a significant heterogeneity in disorder expression, stemming from variability in underlying dynamic processes. These processes are commonly discussed in clinical settings, but are rarely empirically studied due to their personalized, temporal nature. The goal of the current study was to combine intensive longitudinal data collection with person-specific temporal network models to produce individualized symptom-level structures of personality pathology. These structures were then linked to traditional PD diagnoses and stress (to index daily functioning).
methodsUsing about 100 daily assessments of internalizing and externalizing domains underlying PDs (i.e. negative affect, detachment, impulsivity, hostility), a temporal network mapping approach (i.e. group iterative multiple model estimation) was used to create person-specific networks of the temporal relations among domains for 91 individuals (62.6% female) with a PD. Network characteristics were then associated with traditional PD symptomatology (controlling for mean domain levels) and with daily variation in clinically-relevant phenomena (i.e. stress).
resultsFeatures of the person-specific networks predicted paranoid, borderline, narcissistic, and obsessive-PD symptom counts above average levels of the domains, in ways that align with clinical conceptualizations. They also predicted between-person variation in stress across days.
conclusionsRelations among behavioral domains thought to underlie heterogeneity in PDs were indeed associated with traditional diagnostic constructs and with daily functioning (i.e. stress) in person-specific networks. Findings highlight the importance of leveraging data and models that capture person-specific, dynamic processes, and suggest that person-specific networks may have implications for precision medicine.
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