The centrality of affective instability and identity in Borderline Personality Disorder: Evidence from network analysis

Richetin, Juliette; Preti, Emanuele; Costantini, Giulio; Panfilis, Chiara De

doi:10.1371/journal.pone.0186695

Cited by 91 publications

(71 citation statements)

References 59 publications

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“…Table 1). Authors compared the relation of 9 characteristics of BPD in 2 different samples (university students and clinical population) [64]. Although “affective instability,” “identity disturbances,” and “effort to avoid abandonment” appeared to have a central role in both samples, some edges were unique for the clinical sample (i.e., suicidal behavior and unstable relationship) that highlights particular connections between symptoms in severe manifestations of BPD.…”

Section: Resultsmentioning

confidence: 99%

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

Contreras

Nieto

Valiente

et al. 2019

Psychother Psychosom

291

214

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Background: Network analysis (NA) is an analytical tool that allows one to explore the map of connections and eventual dynamic influences among symptoms and other elements of mental disorders. In recent years, the use of NA in psychopathology has rapidly grown, which calls for a systematic and critical analysis of its clinical utility. Methods: Following PRISMA guidelines, a systematic review of published empirical studies applying NA in psychopathology, between 2010 and 2017, was conducted. We included the literature published in PubMed and PsycINFO using as keywords any combination of “network analysis” with the terms “anxiety,” “affective disorders,” “depression,” “schizophrenia,” “psychosis,” “personality disorders,” “substance abuse” and “psychopathology.” Results: The review showed that NA has been applied in a plethora of mental disorders in adults (i.e., 13 studies on anxiety disorders; 19 on mood disorders; 7 on psychosis; 1 on substance abuse; 1 on borderline personality disorder; 18 on the association of symptoms between disorders), and 6 on childhood and adolescence. Conclusions: A critical examination of the results of each study suggests that NA helps to identify, in an innovative way, important aspects of psychopathology like the centrality of the symptoms in a given disorder as well as the mutual dynamics among symptoms. Yet, despite these promising results, the clinical utility of NA is still uncertain as there are important limitations on the analytic procedures (e.g., reliability of indices), the type of data included (e.g., typically restricted to secondary analysis of already published data), and ultimately, the psychometric and clinical validity of the results.

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Section: Resultsmentioning

confidence: 99%

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

Contreras

Nieto

Valiente

et al. 2019

Psychother Psychosom

291

214

View full text Add to dashboard Cite

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“…Thus, true differences are allowed to emerge. This property makes the FGL a good method for estimating networks in different groups (Richetin, Preti, Costantini, & Panfilis, ) and we therefore used the FGL in our study. We used the R package EstimateGroupNetwork (Costantini & Epskamp, ) for network estimation employing the k ‐fold cross‐validation for parameter selection as implemented in the package and selected the default value for k = 10.…”

Section: Methodsmentioning

confidence: 99%

A Cross‐Cultural Comparison of ICD‐11 Complex Posttraumatic Stress Disorder Symptom Networks in Austria, the United Kingdom, and Lithuania

Knefel

Bisson

Karatzias

et al. 2019

Journal of Traumatic Stress

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The 11th revision of the World Health Organization's International Classification of Diseases (ICD‐11) includes a new disorder, complex posttraumatic stress disorder (CPTSD). The network approach to psychopathology enables investigation of the structure of disorders at the symptom level, which allows for analysis of direct symptom interactions. The network structure of ICD‐11 CPTSD has not yet been studied, and it remains unclear whether similar networks replicate across different samples. We investigated the network models of four different trauma samples that included a total of 879 participants (M age = 47.17 years, SD = 11.92; 59.04% women) drawn from Austria, Lithuania, and Scotland and Wales in the United Kingdom. The International Trauma Questionnaire was used to assess symptoms of ICD‐11 CPTSD in all samples. The prevalence of PTSD and CPTSD ranged from 23.7% to 37.3% and from 9.3% to 53.1%, respectively. Regularized partial correlation networks were estimated and the resulting networks compared. Despite several differences in the symptom presentation and cultural background, the networks across the four samples were considerably similar, with high correlations between symptom profiles (ρs = .48–.87), network structures (ρs = .69–.75), and centrality estimates (ρs = .59–.82). These results support the replicability of CPTSD network models across different samples and provide further evidence about the robust structure of CPTSD. The most central symptom in all four sample‐specific networks and the overall network was “feelings of worthlessness.” Implications of the network approach in research and practice are discussed.

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“…Due to this strategy, the FGL neither masks differences nor inflates similarities across groups. The FGL has been used successfully to compute gene expression networks in cancer and healthy samples (Danaher et al, 2014), to estimate networks of situational experience in different countries , and to examine borderline personality disorder symptom networks patients and healthy individuals (Richetin, Preti, Costantini, & De Panfilis, 2017) (for a tutorial on the FGL, see ).…”

Section: Network Estimationmentioning

confidence: 99%

Replicability and generalizability of PTSD networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples

Fried¹

2017

Preprint

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The growing literature conceptualizing mental disorders like Posttraumatic Stress Disorder (PTSD) as networks of interacting symptoms faces three key challenges. Prior studies predominantly used (a) small samples with low power for precise network estimation, (b) non-clinical samples, and (c) single samples. This renders network structures in clinical data, and the extent to which networks replicate across datasets, unknown. To overcome these limitations, the present cross-cultural multisite study estimated regularized partial correlation networks of 16 PTSD symptoms across four datasets of traumatized patients receiving treatment for PTSD (total N=2,782), and compared resulting networks.Despite differences in culture, trauma-type and severity of the samples, considerable similarities emerged, with moderate to high correlations between symptom profiles (0.43 to 0.82), network structures (0.62 to 0.74), and centrality estimates (0.63 to 0.75). We discuss the importance of future replicability efforts to improve clinical psychological science, and provide code, model output, and correlation matrices to make the results of this paper fully reproducible.

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The centrality of affective instability and identity in Borderline Personality Disorder: Evidence from network analysis

Cited by 91 publications

References 59 publications

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

A Cross‐Cultural Comparison of ICD‐11 Complex Posttraumatic Stress Disorder Symptom Networks in Austria, the United Kingdom, and Lithuania

Replicability and generalizability of PTSD networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples

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