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

The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults

BACKGROUND

Major depressive disorder (MDD) and borderline personality disorder (BPD) often co-occur, with 20 % of adults with MDD meeting criteria for BPD. While MDD is typically diagnosed by symptoms persisting for several weeks, research suggests a dynamic pattern of symptom changes occurring over shorter durations. Given the diagnostic focus on affective states in MDD and BPD, with BPD characterized by instability, we expected heightened instability of MDD symptoms among depressed adults with BPD traits. The current study examined whether BPD symptoms predicted instability in depression symptoms, measured by ecological momentary assessments (EMAs).

METHODS

The sample included 207 adults with MDD (76 % White, 82 % women) recruited from across the United States. At the start of the study, participants completed a battery of mental health screens including BPD severity and neuroticism. Participants completed EMAs tracking their depression symptoms three times a day over a 90-day period.

RESULTS

Using self-report scores assessing borderline personality disorder (BPD) traits along with neuroticism scores and sociodemographic data, Bayesian and frequentist linear regression models consistently indicated that BPD severity was not associated with depression symptom change through time.

LIMITATIONS

Diagnostic sensitivity and specificity may be restricted by use of a self-report screening tool for capturing BPD severity. Additionally, this clinical sample of depressed adults lacks a comparison group to determine whether subclinical depressive symptoms present differently among individuals with BPD only.

CONCLUSIONS

The unexpected findings shed light on the interplay between these disorders, emphasizing the need for further research to understand their association.

Burden of multiple high-risk factors in pregnancy before and after the universal two-child policy in Chinese women: An observational study

Background

The prevalence of high-risk pregnancy increased after the implementation of two-child policy in China, but the impact of this policy change on the burden and profile of multiple high-risk factors in pregnancy (MHFP) has been insufficiently explored. We hypothesised that the profile of MHFP might have changed after the two-child policy was implemented and aimed to estimate the prevalence, intercorrelation, and outcomes of MHFP before and after its introduction.

Methods

We obtained data on the population of pregnant women before (2015) and after (2020/2021) the implementation of universal two-child policy in Huai'an. We then included 33 risk factors in our analysis based on the Five-Colour Management framework and defined MHFP as an individual having two or more of these factors. We also estimated the changes of the prevalence of each single factor and their coexistence. Lastly, we performed a network analysis to assess the intercorrelations across these factors and used logistic regression models to evaluate MHFP-related pregnancy outcomes.

Results

We observed an increase in the prevalence of MHFP after the implementation of the universal two-child policy (25.8% in 2015 vs 38.4% in 2020/2021, P < 0.01). Chronic conditions (e.g. gestational diabetes mellitus, abnormal body mass index) had the largest increase among the included factors, while cardiovascular disease and hypertensive disorders were central factors of the network structures. The correlations of advanced maternal age with abnormal pregnancy histories and scarred uteri increased significantly from 2015 to 2020/2021. MHFP was associated with multiple pregnancy outcomes, including preterm birth (adjusted odds ratio (aOR) = 2.57; 95% confidence interval (CI) = 2.39-2.75), low birthweight (aOR = 2.77; 95% CI = 2.54-3.02), low Apgar score (aOR = 1.41; 95% CI = 1.19-1.67), perinatal death (aOR = 1.75; 95% CI = 1.44-2.12), and neonatal death (aOR = 1.76; 95% CI = 1.42-2.18). Moreover, an increasing number and certain combinations of MHFP were associated with higher odds of pregnancy outcomes. For example, the aOR of preterm birth increased from 1.67 (95% CI = 1.52-1.87) for one risk factor to 8.03 (95% CI = 6.99-9.22) for ≥4 risk factors.

Conclusions

Chinese women experienced a higher burden of multiple high-risk factors after the introduction of the two-child policy, particularly those with advanced maternal age, obesity, and chronic conditions. Strategies targeting chronic conditions for women with MHFP should be prioritised and a shift to a multiple-factor-oriented framework is needed in the expanding Chinese maternal health care system.

Dissociative Experiences, Borderline Personality Disorder Features, and Childhood Trauma: Generating Hypotheses from Data-Driven Network Analysis in an International Sample

Dissociation is a multifaceted phenomenon that occurs in various mental disorders, including borderline personality disorder (BPD), but also in non-clinical populations. Severity of childhood trauma (abuse, neglect) plays an important role in the development of dissociation and BPD. However, the complex interplay of different dissociative symptoms, BPD features, and self-reported childhood trauma experiences is not yet fully understood. Graph-theoretical network analysis can help to better understand such multivariate interrelations. Objective: This study aimed to investigate associations between self-reported dissociation, BPD features, and childhood trauma experiences using a graph-theoretical approach. Data was collected online via international mental health platforms and research sites. N = 921 individuals (77.4% female) were included; 40% reported pathological levels of dissociation. Variables were assessed with established psychometric scales (Dissociative Experiences Scale; Personality Assessment Inventory Borderline Features Scale; Childhood Trauma Questionnaire) and analyzed within a partial correlation network. Positive bivariate correlations between all variables were found. When accounting for their mutual influence on each other, dissociation was predominantly connected to BPD features with effect sizes between rp = .028 and rp = .126, while still showing a slight unique relationship with physical neglect (rp = .044). Findings suggest close associations between dissociative experiences and BPD features. While childhood trauma plays an important role in the development of dissociation and BPD, its recall may not fully explain their current co-occurrence. Prospective studies are needed to shed more light on causal pathways to better understand which factors contribute to dissociation and its link to BPD (features).

Sleep Health Analysis Through Sleep Symptoms in 35,808 Individuals Across Age and Sex Differences: Comparative Symptom Network Study

BACKGROUND

Sleep health is a multidimensional construct that includes objective and subjective parameters and is influenced by individual sleep-related behaviors and sleep disorders. Symptom network analysis allows modeling of the interactions between variables, enabling both the visualization of relationships between different factors and the identification of the strength of those relationships. Given the known influence of sex and age on sleep health, network analysis can help explore sets of mutually interacting symptoms relative to these demographic variables.

OBJECTIVE

This study aimed to study the centrality of symptoms and compare age and sex differences regarding sleep health using a symptom network approach in a large French population that feels concerned about their sleep.

METHODS

Data were extracted from a questionnaire provided by the Réseau Morphée health network. A network analysis was conducted on 39 clinical variables related to sleep disorders and sleep health. After network estimation, statistical analyses consisted of calculating inferences of centrality, robustness (ie, testifying to a sufficient effect size), predictability, and network comparison. Sleep clinical variable centralities within the networks were analyzed by both sex and age using 4 age groups (18-30, 31-45, 46-55, and >55 years), and local symptom-by-symptom correlations determined.

RESULTS

Data of 35,808 participants were obtained. The mean age was 42.7 (SD 15.7) years, and 24,964 (69.7%) were women. Overall, there were no significant differences in the structure of the symptom networks between sexes or age groups. The most central symptoms across all groups were nonrestorative sleep and excessive daytime sleepiness. In the youngest group, additional central symptoms were chronic circadian misalignment and chronic sleep deprivation (related to sleep behaviors), particularly among women. In the oldest group, leg sensory discomfort and breath abnormality complaint were among the top 4 central symptoms. Symptoms of sleep disorders thus became more central with age than sleep behaviors. The high predictability of central nodes in one of the networks underlined its importance in influencing other nodes.

CONCLUSIONS

The absence of structural difference between networks is an important finding, given the known differences in sleep between sexes and across age groups. These similarities suggest comparable interactions between clinical sleep variables across sexes and age groups and highlight the implication of common sleep and wake neural circuits and circadian rhythms in understanding sleep health. More precisely, nonrestorative sleep and excessive daytime sleepiness are central symptoms in all groups. The behavioral component is particularly central in young people and women. Sleep-related respiratory and motor symptoms are prominent in older people. These results underscore the importance of comprehensive sleep promotion and screening strategies tailored to sex and age to impact sleep health.

A Longitudinal Network of Borderline-Related Trait Vulnerabilities from Childhood to Adolescence

Early maladaptive traits are predictive of later borderline personality pathology (BPP), but little is known about their dynamic interplay over time. This is an important issue to address, however, as significant differences in the 'clinical weight' of various traits constituting the early BPP trait phenotype may inform the field on important target constructs from an early intervention perspective. Therefore, the current study aims to uncover the complex dependencies between BPP traits across the crucial developmental period of childhood and adolescence, by using longitudinal network analysis. Both between- and within-person networks were constructed to identify how early mother-reported borderline-related traits are connected across a timespan of six years (ntime 1 = 718, Mtime1 = 10.73 years, SDtime1 = 1.39, 55.1% girls). Overall, the temporal network suggested various trait interdependencies, with internalizing traits being particularly influential in the development of the BPP trait network structure. At the same time, externalizing traits likely inhibit the negative effects of these core traits. In addition, results also revealed that internalizing and externalizing clusters of early borderline-related traits are linked through emotional lability. Implications of these findings are discussed in view of the change mechanisms at play and potential targets for early intervention.

A Network Analysis Approach to Understanding Centrality and Overlap of 21 Dark Triad Items in Adults of 10 Countries

Background

Previous research has suggested that manipulation and callousness are central to Dark Triad traits, but it has not identified which specific manifestations are expressed across various countries.

Objective

This study aimed to identify the core and overlapping manifestations of Dark Triad traits across 10 countries.

Methods

We used the Short Dark Triad (SD3) scale and assessed a sample of 8093 participants (59.7% women, M(age) = 32.68 years). For graphical representation, the spinglass algorithm was applied to understand the cluster distribution among Machiavellianism, psychopathy, and subclinical narcissism traits. Centrality indices were used to identify the most influential items, and the clique-percolation algorithm was employed to detect shared attributes among multiple Dark Triad items.

Results

Straightforward SD3-21 items demonstrated better interpretability as aversive traits within the broader system. Items with higher centrality values were those related to short-term verbal manipulation from the psychopathy domain, clever manipulation, strategic revenge-seeking from Machiavellianism, and narcissistic motivations for connecting with significant individuals. The most predicted items were linked to planned revenge, using information against others from Machiavellianism, short-term psychopathic verbal manipulation, and narcissistic belief of specialness based on external validation. Items like short-term verbal manipulation had overlaps with both psychopathy and narcissism clusters, while clever manipulation overlapped with Machiavellianism and psychopathy.

Conclusion

This cross-cultural study highlights the central role of verbal manipulation within the Dark Triad traits, along with identifying overlapping items among traits measured using straightforward SD3 scale items. In line with our findings, future research that incorporates a wide range of cultural contexts is encouraged to establish the consistency of these findings with the SD3 Scale or alternative measures.

Network Analysis of Sexual Sensation Seeking, Internalized Homophobia, and Social Norms Among Men Who Have Sex with Men with Different Sexual Partner Types

Men who have sex with men (MSM) are at disproportionate risk for developing sexually transmitted infections (STIs) such as HIV. Understanding the relationships among factors related to risky sexual behaviors, such as internalized homophobia, sexual sensation seeking, and individual and community norms, among MSM with different sexual partner types may contribute to designing targeted interventions for reducing risky sexual behaviors and STI transmission. We conducted a cross-sectional study recruiting 781 MSM in Sichuan Province, China. All participants were divided into groups with and without sexual partners, groups with regular and casual sexual partners, and groups with only male and both male and female partners in the past 6 months. Network analysis was used to analyze the relationships among dimensions of self-reported sexual sensation seeking, internalized homophobia, and social norms in different groups. Of 781 MSM, 606 (77.6%) had sexual partners in the past 6 months, and among these participants, 429 (70.8%) had casual sexual partners, and 103 (17.0%) had both male and female sexual partners. The complex and intensive relationships between dimensions were mainly observed in networks of MSM with any type of sexual partners, with individual norms (dimension of social norms) presenting strongly negative relationships with fresh feeling (dimension of sexual sensation seeking) and homosexuality morality (dimension of internalized homophobia). One dimension of sexual sensation seeking (i.e., fresh feeling) and two dimensions of internalized homophobia (i.e., homosexuality morality and self-identification) were relatively central variables in most groups, especially for those with casual sexual partners. Our study highlights the role of individual norms in restraining sensation seeking, internalized homophobia, especially among MSM with sexual partners. Intervention targeting these central variables may contribute to reduced risky sexual behaviors and further slow the spread of STIs in MSM.

Central psychological symptoms from a network analysis of patients with anxiety, somatoform or personality disorders before psychotherapy

BACKGROUND

Cross-sectional network analysis examines the relationships between symptoms to explain how they constitute disorders. Up to now, research focuses mostly on depression, posttraumatic stress disorder, and rarely assesses larger networks of various symptoms measured with instruments independent of classifications. Studies on large groups of psychotherapy patients are also rare.

METHODS

Analyzing triangulated maximally filtered graph (TMFG) networks of 62 psychological symptoms reported by 4616 consecutive nonpsychotic adults in 1980-2015.

RESULTS

Case-dropping and nonparametric bootstrap proved the accuracy, stability and reliability of networks in patients' sex-, age-, and time of visit divided subgroups. Feeling that others are prejudiced against the patient was the most central symptom, followed by catastrophic fears, feeling inferior and underestimated. Sadness, panic, and sex-related complaints were less central than we expected. All analysed symptoms were connected, and we found only small sex-related differences between subsamples' networks. No differences were observed for time of visit and age of patients.

LIMITATION

Analyses were cross-sectional and retrospective, not allowing examination of directionality or causality. Further, data are at the between-person level; thus, it is unknown whether the network remains constant for any person over time. One self-report checklist and building binary network method may bias results. Our results indicate how symptoms co-occured before psychotherapy, not longitudinally. Our sample included public university hospital patients, all White-Europeans, predominantly females and university students.

CONCLUSIONS

Hostile projection, catastrophic fears, feeling inferior and underestimated were the most important psychological phenomena reported before psychotherapy. Exploring these symptoms would possibly lead to enhancement of treatments.

Modeling vulnerability and intervention targets in the Borderline Personality Disorder system: A network analysis of in silico and in vivo interventions

Modeling psychopathology as a complex dynamic system represents Borderline Personality Disorder (BPD) as a constellation of symptoms (e.g., nodes) that feedback and self-sustain each other shaping a network structure. Through in silico interventions, we simulated the evolution of the BPD system by manipulating: 1) the connectivity strength between nodes (i.e., vulnerability), 2) the external disturbances (i.e., stress) and 3) the predisposition of symptoms to manifest. Similarly, using network analysis we evaluated the effect of an in vivo group psychotherapy to detect the symptoms modified by the intervention. We found that a network with greater connectivity strength between nodes (more vulnerable) showed a higher number of activated symptoms than networks with less strength connectivity. We also found that increases in stress affected more vulnerable networks compared to less vulnerable ones, while decreases in stress revealed a hysteresis effect in the most strongly connected networks. The in silico intervention to symptom alleviation revealed the relevance of nodes related to difficulty in anger regulation, nodes which were also detected as impacted by the in vivo intervention. The complex systems methodology is an alternative to the common cause model with which research has approached the BPD phenomenon.

Moral Decision-Making in Trolley Problems and Variants: How Do Participants' Perspectives, Borderline Personality Traits, and Empathy Predict Choices?

The aim of the present study was to demonstrate and extend the causal effect of participants' perspectives on moral decision-making using trolley problems and variants. Additionally, we investigated whether empathy and borderline (BDL) personality traits predicted participants' choices in these scenarios. We used both a classical trolley problem (a causing harm scenario) and an everyday trolley-like problem (a causing inconvenience scenario). Participants (N = 427, women: 54%) completed BDL traits and empathy questionnaires and, randomly, the two types of trolley problems, presenting both three different perspectives. Our study provided strong evidence that the perspective from which participants were enrolled in the trolley problem caused significant changes in their moral decision-making. Furthermore, we found that affective empathy and BDL traits significantly predicted participants' decisions in the causing inconvenience scenario, while only BDL traits predicted choices in the causing harm scenario. This study was original in providing new experimental materials, causal results, and highlighting the significant influence of BDL traits and affective empathy on moral decision-making. These findings raised fundamental questions, which are further developed in the discussion section.

Cognitive-emotional networks in students with and without a history of non-suicidal self-injury

BACKGROUND

Contemporary models of non-suicidal self-injury (NSSI) suggest that emotional vulnerabilities, negative self-schemas, and beliefs about NSSI work together to differentiate students who self-injure from those who do not. However, it is unclear how these mechanisms are differentially related among students with and without a history of NSSI. Considering this, we used a network analysis approach to explore how students with and without a history of NSSI vary in processing their emotional experiences in relation to their self-concepts and beliefs about NSSI.

METHOD

A sample of 480 university students (M_age = 21.18, SD = 2.43; 73.5 % female) completed self-report measures about their perceived emotional experiences (e.g., emotional reactivity, emotion regulation difficulties), self-concepts (e.g., self-esteem, self-efficacy), and NSSI.

RESULTS

A network comparison test revealed that students with a history of NSSI perceived themselves to have difficulties regulating particularly intense, unwanted negative emotions. In light of this, students with a history of NSSI expected some benefits of NSSI (e.g., emotion regulation) regardless of potential barriers (e.g., pain). Conversely, for students without a history of NSSI, expecting NSSI to have aversive outcomes was tied to expecting NSSI to have few benefits.

LIMITATIONS

The cross-sectional design limits inferences to be made about the network structures.

CONCLUSIONS

Students with and without a history of NSSI appear to differ in their cognitive processing of negative emotions and strategies used to deal with these emotions.

Borderline personality disorder symptom networks across adolescent and adult clinical samples: examining symptom centrality and replicability

BACKGROUND

Numerous theories posit different core features to borderline personality disorder (BPD). Recent advances in network analysis provide a method of examining the relative centrality of BPD symptoms, as well as examine the replicability of findings across samples. Additionally, despite the increase in research supporting the validity of BPD in adolescents, clinicians are reluctant to diagnose BPD in adolescents. Establishing the replicability of the syndrome across adolescents and adults informs clinical practice and research. This study examined the stability of BPD symptom networks and centrality of symptoms across samples varying in age and clinical characteristics.

METHODS

Cross-sectional analyses of BPD symptoms from semi-structured diagnostic interviews from the Collaborative Longitudinal Study of Personality Disorders (CLPS), the Methods to Improve Diagnostic Assessment and Service (MIDAS) study, and an adolescent clinical sample. Network attributes, including edge (partial association) strength and node (symptom) expected influence, were compared.

RESULTS

The three networks were largely similar and strongly correlated. Affective instability and identity disturbance emerged as relatively central symptoms across the three samples, and relationship difficulties across adult networks. Differences in network attributes were more evident between networks varying both in age and in BPD symptom severity level.

CONCLUSIONS

Findings highlight the relative importance of affective, identity, and relationship symptoms, consistent with several leading theories of BPD. The network structure of BPD symptoms appears generally replicable across multiple large samples including adolescents and adults, providing further support for the validity of the diagnosis across these developmental phases.

Fear network and pain extent: Interplays among psychological constructs related to the fear-avoidance model

OBJECTIVE

Psychological constructs related to the fear-avoidance model such as fear of movement, pain catastrophizing, and affective distress have been found to be inter-related among patients with chronic pain. However, relationships of these constructs have mostly been examined using regression-based analyses. This cross-sectional study employs a novel analytical approach, network analysis, to illustrate the complex interplays among these variables as well as pain intensity and pain interference.

METHODS

This study utilized the Swedish Quality Registry for Pain Rehabilitation, including data from 10,436 participants (76.0% women; M_age = 45.0 years). Networks were analyzed separately for patients with different pain extents (i.e., numbers of pain locations) as the interplays may differ qualitatively depending on pain extent.

RESULTS

We found that patients with a larger pain extent showed a worse clinical presentation (i.e., more depression and anxiety, increased fear of movement and pain interference), and their network differed from the patients with a smaller number of pain extent in terms of how strongly key variables were interconnected. In all network models, pain interference and catastrophizing showed consistently influential roles.

CONCLUSION

Our findings highlight the interactive nature of psychological aspects of pain and how interrelated associations differ depending on pain extent. Findings are discussed based on ideas on how both fear and pain become overgeneralized.

Acute suicidal affective disturbance and borderline personality disorder symptoms: Distinct yet correlated constructs

OBJECTIVE

Acute Suicidal Affective Disturbance (ASAD) has been proposed to address the need for a suicide-specific diagnostic entity that better accounts for the psychological symptoms that may emerge during an acute suicidal crisis and that may precede imminent suicidal behaviors. However, additional research is needed to establish ASAD's delimitation from preexisting psychological disorders, especially disorders that include suicidal thoughts and behaviors in their diagnostic criteria such as borderline personality disorder (BPD).

METHODS

We estimated two Gaussian graphical models (GGMs), exploratory factor analysis (EFA) models, and confirmatory factor analysis models in a sample of psychiatric outpatients (N = 460) to examine the structure of ASAD and BPD symptoms.

RESULTS

Our estimated models showed while most ASAD and BPD symptoms largely shared associations with other symptoms belonging to their respective disorder construct, strong associations connected some ASAD symptoms with BPD symptoms, which, in a network model, emerged in the form of nonzero edges among those symptoms, and in EFA models, as factors that featured both ASAD and BPD symptoms as indicators.

CONCLUSIONS

Our findings suggest the network structure of the proposed criteria of ASAD features symptoms that are largely distinct to ASAD but do include symptoms that share meaningful correlations with BPD symptoms that suggest ASAD and BPD are correlated constructs.

The role of emotional instability in borderline personality disorder: a systematic review

BACKGROUND

The emotional regulation process plays a pivotal role in daily-life functioning, modulating goal-directed and adaptive behavior. Conversely, altering this cognitive function can disrupt self-regulation and bring emotional dysregulation. Emotional instability could represent a core characteristic of BPD, also modulating the BPD symptom's onset. This systematic review aims to summarize the existing literature reporting the role of emotional instability in BPD to better define the role of the impairment of the emotional processes in the onset of the cognitive and behavioral symptoms of this complex mental disorder.

METHODS

MEDLINE, Scopus and Web of Science were independently searched for relevant studies. Eligible studies had to be identifiable through database searching, published and accessible. This systematic review was conducted according to PRISMA guidelines. The search period was from 2012 to 14 September 2022.

RESULTS

A pool of 120 studies was identified, out of which 11 met the selection criteria and were included. Overall, the studies confirm a relationship between emotional instability and borderline personality disorder.

CONCLUSIONS

The evidences retrieved seem to point out the role of the emotional impairment not only in worsening of the disorder, but could also be one of the risk factors for its onset.

Network analysis of internet addiction and depression among Chinese college students during the COVID-19 pandemic: A longitudinal study

Background

There has been growing evidence of comorbidity between internet addiction and depression in youth during the COVID-19 period. According to the network theory, this may arise from the interplay of symptoms shared by these two mental disorders. Therefore, we examined this underlying process by measuring the changes in the central and bridge symptoms of the co-occurrence networks across time.

Methods

A total of 852 Chinese college students were recruited during two waves (T1: August 2020; T2: November 2020), and reported their internet addiction symptoms and depressive symptoms. Network analysis was utilized for the statistical analysis.

Results

The internet addiction symptoms "escape" and "irritable," and depression symptoms "energy" and "guilty" were the central symptoms for both waves. At the same time, "guilty" and "escape" were identified as bridge symptoms. Notably, the correlation between "anhedonia" and "withdrawal" significantly increased, and that between "guilty" and "escape" significantly decreased over time.

Conclusions

This study provides novel insights into the central features of internet addiction and depression during the two stages. Interestingly, "guilty" and "escape," two functions of the defense mechanism, are identified as bridge symptoms. These two symptoms are suggested to activate the negative feedback loop and further contribute to the comorbidity between internet addiction and depression. Thus, targeting interventions on these internalized symptoms may contribute to alleviating the level of comorbidity among college students.

On the interplay of borderline personality features, childhood trauma severity, attachment types, and social support

BACKGROUND

Adverse childhood experiences (ACE) have consistently been associated with borderline personality disorder (BPD). Still, it is not yet entirely understood if and how different types of ACE (emotional, physical, sexual abuse, neglect) relate to different BPD subdomains (affective instability, identity disturbance, negative relationships, self-harm). Insecure attachment and lower perceived social support are associated with both ACE and BPD and may therefore contribute to their relationship. No study so far integrated all these variables in one model, while accounting for their mutual influence on each other. We investigated the interplay of BPD subdomains, ACE, attachment, and perceived social support using a graph-theoretical approach.

METHODS

An international sample of 1692 participants completed the Childhood Trauma Questionnaire (CTQ), the Borderline Feature Scale from the Personality Assessment Inventory (PAI-BOR), the Adult Attachment Scale (AAS), and Multidimensional Scale of Perceived Social Support (MSPSS) via an online survey. We estimated a partial correlation network including subscales of the CTQ and the PAI-BOR as nodes. We extended the network by including subscales of the AAS and MSPSS as additional nodes.

RESULTS

Emotional abuse was the most central node in both networks and a bridge between other types of ACE and BPD features. All domains of BPD except affective instability were associated with emotional abuse. Identity disturbances was the most central node in the BPD network. The association between ACE and BPD features was partly but not fully explained by attachment and social support.

CONCLUSION

Our findings suggest that emotional abuse is an important link in the association between ACE and BPD features, also when taking attachment and social support into account. Findings further suggest an outstanding role of identity disturbance, linking emotional abuse to affective instability and being strongly associated with attachment anxiety.

Modelling Identity Disturbance: A Network Analysis of the Personality Structure Questionnaire (PSQ)

Due to the relevance of identity disturbance to personality disorder this study sought to complete a network analysis of a well validated measure of identity disturbance; the personality structure questionnaire (PSQ). A multi-site and cross-national methodology created an overall sample of N = 1549. The global network structure of the PSQ was analysed and jointly estimated networks were compared across four subsamples (UK versus Italy, adults versus adolescents, clinical versus community and complex versus common presenting problems). Stability analyses assessed the robustness of identified networks. Results indicated that PSQ3 (unstable sense of self) and PSQ5 (mood variability) were the most central items in the global network structure. Network structures significantly differed between the UK and Italy. Centrality of items was largely consistent across subsamples. This study provides evidence of the potential network structure of identity disturbance and so guides clinicians in targeting interventions facilitating personality integration.

Networks of Neuropsychological Functions in the Clinical Evaluation of Adult ADHD

This study applied network analysis to explore the relations between neuropsychological functions of individuals in the clinical evaluation of attention-deficit/hyperactivity disorder (ADHD) in adulthood. A total of 319 participants from an outpatient referral context, that is, 173 individuals with ADHD (ADHD group) and 146 individuals without ADHD (n-ADHD group), took part in this study and completed a comprehensive neuropsychological assessment. A denser network with stronger global connectivity was observed in the ADHD group compared to the n-ADHD group. The strongest connections were consistent in both networks, that is, the connections between selective attention and vigilance, and connections between processing speed, fluency, and flexibility. Further centrality estimation revealed attention-related variables to have the highest expected influence in both networks. The observed relationships between neuropsychological functions, and the high centrality of attention, may help identify neuropsychological profiles that are specific to ADHD and optimize neuropsychological assessment and treatment planning of individuals with cognitive impairment.

The nosographic structure of posttraumatic stress symptoms across trauma types: An exploratory network analysis approach

The nosographic structure of posttraumatic stress disorder (PTSD) remains unclear, and attempts to determine its symptomatic organization have been unsatisfactory. Several explanations have been suggested, and the impact of trauma type is receiving increasing attention. As little is known about the differential impact trauma type in the nosographic structure of PTSD, we explored the nosology of PTSD and the effect of trauma type on its symptomatic organization. We reanalyzed five cross-sectional psychopathological networks involving different trauma types, encompassing a broad range of traumatic events in veterans, war-related trauma in veterans, sexual abuse, terrorist attacks, and various traumatic events in refugees. The weighted topological overlap was used to estimate the networks and attribute weights to their links. Coexpression differential network analysis was used to identify the common and specific network structures of the connections across different trauma types and to determine the importance of symptoms across the networks. We found a set of symptoms with more common connections with other symptoms, suggesting that these might constitute the prototypical nosographic structure of PTSD. We also found a set of symptoms that had a high number of specific connections with other symptoms; these connections varied according to trauma type. The importance of symptoms across the common and specific networks was ascertained. The present findings offer new insights into the symptomatic organization of PTSD and support previous research on the impact of trauma type on the nosology of this disorder.

The self-reference effect as a behavioral indicator of identity disturbances associated with borderline personality features in a non-clinical sample

BACKGROUND

Identity disturbances are a common feature of personality pathology and BPD. The Self-Reference Effect paradigm is a method used to measure the impact of self-relevant processing on encoding/memory, whereby self-relevant information is typically advantaged in cognitive processes. We postulated that difficulties with identity might impede the process by which one encodes self-relevant information. Based on this reasoning, we predicted that high levels of identity disturbance could be associated with atypical impact of the SRE.

METHODS

Undergraduate participants were randomized into one of three groups where they were exposed to 60 trait adjectives for seven seconds each. Depending on condition, participants either indicated whether a word was/wasn't capitalized (Capitalization condition), whether it was a good synonym for "openness" (Synonyms condition), or whether it described them as a person (Self-reference condition). After a brief delay, all participants were asked to recall as many of the 60 words as possible. Finally, we measured identity disturbance using the Borderline Features-Identity Problems (BOR-I) scale from the Personality Assessment Inventory.

RESULTS

We found significant but modest correlations between Recall and scores on the BOR-I subscale in the Self-Reference condition, but not the two control conditions. Contrary to expectations, the interaction between BOR-I and Condition was not a significant predictor of Recall, suggesting that identity disturbance did not significantly moderate the SRE.

CONCLUSIONS

While our primary hypothesis was not supported, there is a need for multimethod approaches to studying personality pathology. Future research should continue to examine the extent to which behavioral paradigms like the SRE might be useful indicators of identity disturbance/personality pathology, with an emphasis on the use of clinical populations.

Coexisting service-related factors preceding suicide: a network analysis

OBJECTIVES

The overall objective was to analyse service-related factors involved in the complex processes that precede suicide in order to identify potential targets for intervention.

DESIGN AND SETTING

Explorative network analysis study of post-suicide root cause analysis data from Swedish primary and secondary healthcare.

PARTICIPANTS

217 suicide cases reported to the Swedish national root cause analysis database between 2012 and 2017.

PRIMARY AND SECONDARY OUTCOME MEASURES

A total of 961 reported incidents were included. Demographic data and frequencies of reported deficiencies were registered. Topology, centrality indices and communities were explored for three networks. All networks have been tested for robustness and accuracy.

RESULTS

Lack of follow-up, evaluations and insufficient documentation issues emerged as central in the network of major themes, as did the contributing factors representing organisational problems, failing procedures and miscommunication. When analysing the subthemes of deficiencies more closely, disrupted treatments and staffing issues emerged as prominent features. The network covering the subthemes of contributing factors also highlighted discontinuity, fragile work structures, inadequate routines, and lack of resources and relevant competence as potential triggers. However, as the correlation stability coefficients for this network were low, the results need further investigation. Four communities were detected covering nodes for follow-up, evaluation, cooperation, and procedures; communication, documentation and organisation; assessments of suicide risk and psychiatric status; and staffing, missed appointments and declined treatment.

CONCLUSION

The results of this study suggest that healthcare providers may improve patient safety in suicide preventive pathways by taking active measures to provide regular follow-ups to patients with elevated suicide risk. In some cases, declined or cancelled appointments could be a warning sign. Tentative results show organisational instability, in terms of work structure, resources and staffing, as a potential target for intervention, although this must be more extensively explored in the future.

Perfectionism dimensions: A network analysis of their relationships with affect and obsessive-compulsive pathological personality traits

This study investigated the associations of multidimensional perfectionism with positive affect and negative outcomes (affect and Obsessive-Compulsive Personality Disorder [OCPD] pathological traits) through network analysis. The sample consisted of 604 Brazilian adults aged 18-74 years. The network analysis showed that perfectionistic concerns (PC) is strongly and positively associated with negative outcomes, while perfectionistic strivings (PS) maintain positive associations with positive affect, but not negative affect. Negative affect seems to operate as a bridge between perfectionism and OCPD pathological traits, raising crucial questions about the antecedent and consequential role of affect for understanding perfectionism's development and the traits observed in individuals with OCPD. We discuss the limitations and strengths of the study.

Affective theory of the mind and suicide in women with borderline personality disorder and schizophrenia: a comparative study

Background

Theory of mind (ToM) is one of the essential components of social cognition. Affective ToM enables us to interpret other’s feelings and behaviors. Borderline personality disorder (BPD) and schizophrenia are two distinct mental disorders, yet they have a mutual deficit in interpreting emotions, thoughts, and intentions which may lead to a higher incidence of suicidality. Studies that involved social cognition, particularly ToM in schizophrenia, or BPD have controversial results. Therefore, this study aimed at comparing affective ToM functioning in female patients with BPD, schizophrenia, and healthy controls. In addition, identifying the possible impact and any correlation exists between the affective ToM and liability for suicide in those patients. Sixty individuals were recruited from the Institute of Psychiatry, Ain Shams University, Cairo, Egypt, and assigned into 3 groups where group A involved 20 BPD patients, group B involved 20 schizophrenic patients, and group C were healthy persons as a control. Assessment of affective ToM was done using Reading the Mind in the Eyes Test (RMET), and probability of suicide was measured using Suicide Probability Scale (SPS).

Results

Regarding ToM, the three groups were assessed using RMET and the results revealed a significantly higher mean score (hypermentalization) in BPD patients than both schizophrenic patients and controls. While schizophrenic patients had significantly lower mean scores than the control group (hypomentalization). As well, BPD patients had a significantly higher suicide probability total score than Schizophrenic patients and in all subdomains except for the hostility subdomain that was significantly higher in schizophrenic patients. Interestingly, in BPD, the suicide probability total score was positively correlated with RMET.

Conclusions

BPD patients have enhanced affective ToM and hypermentalization that is significantly associated with increased suicide probability in those patients, while in schizophrenia, hypomentalization could not be linked to increased suicide probability. Rehabilitation and proper management of ToM abnormalities might be a crucial tool in suicide prevention in mental illnesses, particularly, BPD.

The exploratory value of cross-sectional partial correlation networks: Predicting relationships between change trajectories in borderline personality disorder

Objective

Within the network approach to psychopathology, cross-sectional partial correlation networks have frequently been used to estimate relationships between symptoms. The resulting relationships have been used to generate hypotheses about causal links between symptoms. In order to justify such exploratory use of partial correlation networks, one needs to assume that the between-subjects relationships in the network approximate systematic within-subjects relationships, which are in turn the results of some within-subjects causal mechanism. If this assumption holds, relationships in the network should be mirrored by relationships between symptom changes; if links in networks approximate systematic within-subject relationships, change in a symptom should relate to change in connected symptoms.

Method

To investigate this implication, we combined longitudinal data on the Borderline Personality Disorder Severity Index from four samples of borderline personality disorder patients (N = 683). We related parameters from baseline partial correlation networks of symptoms to relationships between change trajectories of these symptoms.

Results

Across multiple levels of analysis, our results showed that parameters from baseline partial correlation networks are strongly predictive of relationships between change trajectories.

Conclusions

By confirming its implication, our results support the idea that cross-sectional partial correlation networks hold a relevant amount of information about systematic within-subjects relationships and thereby have exploratory value to generate hypotheses about the causal dynamics between symptoms.

Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD-3

The third edition of the International Classification of Sleep Disorders (ICSD-3) is the authoritative clinical text for the diagnosis of sleep disorders. An important issue of sleep nosology is to better understand the relationship between symptoms found in conventional diagnostic manuals and to compare classifications. Nevertheless, to our knowledge, there is no specific exhaustive work on the general structure of the networks of symptoms of sleep disorders as described in diagnostic manuals. The general aim of the present study was to use symptom network analysis to explore the diagnostic criteria in the ICSD-3 manual. The ICSD-3 diagnostic criteria related to clinical manifestations were systematically identified, and the units of analysis (symptoms) were labelled from these clinical manifestation diagnostic criteria using three rules ("Conservation", "Splitting", "Lumping"). A total of 37 of the 43 main sleep disorders with 160 units of analysis from 114 clinical manifestations in the ICSD-3 were analysed. A symptom network representing all individual ICSD-3 criteria and connections between them was constructed graphically (network estimation), quantified with classical metrics (network inference with global and local measures) and tested for robustness. The global measure of the sleep symptoms network shows that it can be considered as a small world, suggesting a strong interconnection between symptoms in the ICSD-3. Local measures show the central role of three kinds of bridge sleep symptoms: daytime sleepiness, insomnia, and behaviour during sleep symptoms. Such a symptom network analysis of the ICSD-3 structure could provide a framework for better systematising and organising symptomatology in sleep medicine.

A Network Perspective on the Comorbidity of Personality Disorders and Mental Disorders: An Illustration of Depression and Borderline Personality Disorder

The comorbidity of personality disorders and mental disorders is commonly understood through three types of theoretical models: either a) personality disorders precede mental disorders, b) mental disorders precede personality disorders, c) mental disorders and personality disorders share common etiological grounds. Although these hypotheses differ with respect to their idea of causal direction, they all imply a latent variable perspective, in which it is assumed that either personality and mental disorders are latent variables that have certain causal relations [models a) and b)]; or that, as in model c), the common etiology is in fact a latent variable that causes symptomatology of both personality and mental disorders. We aim to provide another perspective on the comorbidity between personality and mental disorders, namely a network perspective. To this end, we investigated Major Depression (MD) and Borderline Personality Disorder (BPD) and hypothesized that symptoms of BPD and MD could interact with one another rather than being caused by a latent variable (e.g., identity diffusion → unstable relationships → depressed mood). To illustrate this theoretical network conceptualization of the comorbidity of BPD and MD we analyzed a cross-sectional clinical dataset of 376 patients who were asked to complete the Structured Clinical Interview for DSM-IV Axis II Disorders and the Beck Depression Inventory II. The results identify direct associations between symptoms of MD and BPD. If we take the links in this empirical network to be ‘substantive', this suggests a radical shift of our current conceptualization of the comorbidity of mental disorders and personality disorders.

A Day in the Life of Borderline Personality Disorder: A Preliminary Analysis of Within-Day Emotion Generation and Regulation

In Linehan's (1993) biosocial theory, borderline personality disorder (BPD) results in part from frequent, intense, negative emotions and maladaptive behavioral responses to those emotions. We conducted a secondary data analysis of an intensive single-case experimental design to explore hourly relations among behavioral responses and emotions in BPD. Eight participants with BPD (M _age = 21.57, 63% female; 63% Asian) reported their emotions and behaviors hourly on two days. Participants reported a neutral-to-negative average emotional state with substantial variability each day. This emotional state was characterized most frequently by anxiety and joy. Participants tended to "dig into", or savor, experiences of joy, but problem-solve around, push away, or accept anxiety. Acceptance predicted hour-by-hour increases in negative emotion intensity, and pushing emotions away predicted hour-by-hour increases in positive emotion intensity. These results suggest that anxiety dominates the emotional experiences of people with BPD and co-occurs with a variety of emotion regulation strategies, while joy co-occurs with strategies designed to prolong emotional experiences. Despite its general adaptiveness, acceptance may be less effective, and pushing emotions away may be more effective, than other emotion regulation strategies at improving momentary negative emotions for those with BPD. We discuss the preliminary nature of these findings and encourage future researchers to build on them in larger samples with more severe presentations of BPD.

Network study of responses to unusualness and psychological stress during the COVID-19 outbreak in Korea

The dramatic changes in people's daily lives caused by the 2019 coronavirus (COVID-19) pandemic have had a huge impact on their emotions and behaviors. This study aimed to examine psychosocial responses to COVID-19 using network analysis. A total of 1,500 urban residents of South Korea, selected from an online public panel, were surveyed using self-rating questionnaires addressing daily life changes, fear of infection, and distress related to COVID-19. Participants also completed a 10-item Perceived Stress Scale survey. We constructed regularized partial correlation networks, estimated global and local network metrics, tested network accuracy and stability, and compared the estimated networks between men and women. The network of the psychosocial responses consisted of 24 nodes that were classified into five groups: 'fear of infection', 'difficulty with outside activities', 'economic loss', 'altered eating and sleeping', and 'adaptive stress'. The node centralities indicated that 'distress in obtaining daily necessities' and 'concern about harming others' were the most important issues in people's responses to COVID-19. These nodes were connected by a negative edge, reflecting individual- and community-level issues, respectively. The overall level of perceived stress was linked to the network by the connection node 'anger toward others or society', which was associated with economic problems in men, but with distress from changes in daily activities in women. The results suggest that two contrasting feelings-personal insecurity regarding basic needs and a collectivistic orientation-play roles in the response to unusual experiences and distress due to COVID-19. This study also showed that public anger could arise from the psychological stress under the conditions imposed by COVID-19.

The network structure of schema modes

A fundamental question in psychotherapy is whether interventions should target client problems (i.e., problem-focused approaches) or client strengths (i.e., strength-focused approaches). In this study, we first propose to address this question from a network perspective on schema modes (i.e., healthy or dysfunctional patterns of co-occurring emotions, cognitions, and behaviours). From this perspective, schema modes mutually influence each other (e.g., healthy modes reduce dysfunctional modes). Recent evidence suggests that changes in modes that are strongly associated to other modes (i.e., central modes) could be associated with greater treatment effects. We therefore suggest research should investigate the relative centrality of healthy and dysfunctional modes. To make an exploratory start, we investigated the cross-sectional network structure of schema modes in a clinical (comprising individuals diagnosed with paranoid, narcissistic, histrionic, and Cluster C personality disorders) and non-clinical sample. Results showed that, in both samples, the Healthy Adult was significantly less central than several dysfunctional modes (e.g., Undisciplined Child and Abandoned and Abused Child). Although our study cannot draw causal conclusions, this finding could suggest that weakening dysfunctional modes (compared to strengthening the Healthy Adult) might be more effective in decreasing other dysfunctional modes. Our study further indicates that several schema modes are negatively associated, which could suggest that decreasing one might increase another. Finally, the Healthy Adult was among the modes that most strongly discriminated between clinical and non-clinical individuals. Longitudinal and experimental research into the network structure of schema modes is required to further clarify the relative influence of schema modes.

Associations Between Resilience, Psychological Well-Being, Work-Related Stress and Covid-19 Fear in Forensic Healthcare Workers Using a Network Analysis

Forensic healthcare workers deal with patients with severe psychiatric and behavioral problems that put them at an increased risk of developing work-related stress and burnout. Working with this target group of patients during the Coronavirus disease 2019 (Covid-19) pandemic with far-reaching restrictive measures can negatively affect the psychological well-being of forensic workers. Research suggests that resilience can buffer workplace stress and contribute positively to psychological well-being. However, research on resilience, psychological well-being and work-related stress among forensic healthcare workers is still lacking. Therefore, in this study, we investigated the interrelations between psychological well-being and resilience on the one hand and work-related stress and Covid-19 fear-related symptoms on the other hand. Self-report data were obtained from 318 healthcare workers (73.9% women) working in three Forensic Psychiatric Centers (M age = 44.20, SD = 14.31) and are in direct contact with forensic patients. The data were analyzed using network analysis. Consistent with previous research, the results showed that workplace stress and fear associated with the Covid-19 pandemic can be detrimental to workers' psychological well-being, while resilience can serve as a protective factor against being personally attacked or threatened by patients at the workplace. Last but not least, we identified highly central symptoms, namely tremors due to the fear of the coronavirus and anxiety when other people coughing, which would be the best candidates for future treatment targets. This knowledge can help clinicians optimize interventions to reduce workplace stress and fear due to the pandemic. Future studies should aim to replicate our findings in a larger and more representative sample of forensic healthcare workers.

Identity Diffusion as the Organizing Principle of Borderline Personality Traits in Adolescents-A Non-clinical Study

Growing evidence shows that diagnosing and treating borderline personality disorder (BPD) is of high relevance for affected youths. Although identity crisis is part of the normative developmental process, identity diffusion is a potential candidate for being an appropriate concept in further developing screening tools and interventions for BPD treatment in adolescence. We hypothesized that severity of borderline traits (as indicated by the strength of their associations with identity diffusion) would be negatively associated with non-clinical adolescents' endorsement of borderline features' presence. We also hypothesized that identity diffusion had a central role in the network of borderline personality traits and could be conceived of as a latent organizing principle of borderline personality disorder. In our study, 169 non-clinical adolescents (81 girls and 88 boys; M _age = 15.38; SD_age = 1.52) filled out self-report measures of borderline personality features and identity diffusion. According to our results, having strong feelings and interpersonal sensitivity were the two most endorsed borderline personality features. Borderline personality features were positively correlated with identity diffusion. The more severe a borderline personality feature was, the less relevant it was for non-clinical adolescents. According to a network analysis, identity diffusion was the most central and least redundant element of the network of borderline personality traits. Results are discussed from a clinical point of view, further encouraging professionals to use identity diffusion screening tools to detect BPD in adolescence.

Clinical Associations Between Severity of Impulsivity, Psychiatric Morbidity, Dysfunctional Defences and Personality Disorder: A Comparative Study With Axis-I Disorders

OBJECTIVE

Psychiatric morbidity, impulsive behaviour and use of dysfunctional and maladaptive defences are core features of personality disorder (PD). This study aims to evaluate the significance of the strength of the association between these three core dimensions and PD.

METHOD

Using a cross-sectional design, a sample of co-morbid Axis-I & -II disorders, and a sample of Axis-I disorders with no co-morbid PD were recruited at three general psychiatric mental health resource centres and then compared.PD as dependent variable was analysed both as a categorical and as a dimensional entity using the Structured Clinical Interview for DSM-IV. The Symptoms Checklist 90-R general severity index (GSI), the Barratt Impulsivity Scale (BIS) and the Defense Style Questionnaire (DSQ) were used to measure severity of psychiatric morbidity, impulsivity and defensive style, respectively.

RESULTS

BIS was a highly significant predictor of categorical PD (β = .13, SE = .03, p < .001), but not GSI and DSQ. BIS and GSI significantly predicted PD as a dimensional construct (β = 0.32, SE = .08, t = 4.05, p < 0.001; and β = 5.04, SE = 1.54, t = 3.28, p = 0.002, respectively). The diagnostic efficiency statistics found that BIS had greater sensitivity (.82) and specificity (.79), and overall predictive power (.87) of correctly identifying true positive and true negative PD diagnosis compared to the other two measures.

CONCLUSIONS

BIS may be used in routine clinical practice as a screening measure to identify the presence of PD in complex presentations.

Network Structures of Social Functioning Domains in Schizophrenia and Bipolar Disorder: A Preliminary Study

OBJECTIVE

: This study used network analyses to examine network structures reflecting interactions between specific domains of social functioning in schizophrenia (SZ) and bipolar disorder (BD).

METHODS

We used the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) to assess six domains of social functioning ('cognition', 'mobility', 'self-care', 'getting along', 'life activities', and 'participation') in 143 patients with SZ, 81 patients with BD, and 106 healthy subjects. We constructed regularized partial correlation networks, estimated network centrality and edge strength, tested network stability, and compared SZ and BD network structures.

RESULTS

Patients with SZ showed a significantly higher level of functional disability than patients with BD. In the networks we constructed, 'cognition' was the most central domain of social functioning in both SZ and BD. The 'cognition' domain was primarily associated with the 'getting along' domain in the SZ network and the 'life activities' domain in the BD network. We found no significant group-level differences in network structures for SZ vs. BD.

CONCLUSION

Our results suggest that cognition may play a pivotal role in social functioning in both SZ and BD. In addition, domains of social functioning in SZ and BD have similar network structures despite the higher level of disability in SZ compared to BD.

Comorbidity in borderline personality: understanding dynamics in development

Borderline personality disorder is marked by high levels of comorbidity in both adolescent and adult populations. However, the mechanisms involved in the development of comorbidity in BPD remain unclear. To address this issue, the current paper proposes the use of dynamic mutualism theory as a valuable and underexplored framework for investigating comorbidity in BPD from a developmental perspective. Specifically, we discuss how predictions of dynamic mutualism can be extended to better understand the onset, maintenance, and interplay of BPD symptoms with other forms of psychopathology over time. Moreover, we suggest that mutualistic interactions among internalizing and externalizing features throughout early development may foster the emergence of BPD symptoms in adolescence and beyond. Next, we discuss methodological approaches for testing mutualism and review indirect evidence that supports the role of mutualistic processes in the emergence and maintenance of BPD and its comorbidities. We conclude with methodological cautions and recommendations for future studies.

Age-related differences in borderline personality disorder symptom networks in a transdiagnostic sample

BACKGROUND

Naturalistic longitudinal studies of Borderline Personality Disorder (BPD) indicate that symptoms improve over time. In the present study, we applied network theory to the question of how BPD symptom networks may differ as a function of age.

METHODS

In a transdiagnostic sample of 5,212 patients presenting for acute psychiatric treatment, we administered a measure of BPD symptoms and then used a novel machine learning technique to test the hypothesis that symptom networks would significantly differ across the age of participants.

RESULTS

Results supported two significant differences in the BPD symptom network that emerged at age 46. In older participants, the relationships among symptoms of non-suicidal self-injury/suicide and emptiness was weaker, yet the relationship between anger and relationship problems was stronger. No differences emerged for relationships between all other symptoms.

LIMITATIONS

Given the cross-sectional nature of this study, the potential influence of cohort effects cannot be ruled out.

CONCLUSIONS

These findings support the utility of network theory for elucidating potential pathways by which the relationships between symptoms of BPD may differ as a function of age in treatment-seeking individuals. In parallel, results of this study support the highly central role of strong emotions in BPD regardless of age.

Identity pathology and borderline personality disorder: an empirical overview

Pathological identity-related functioning is a core feature of borderline personality disorder (BPD) that is grievously underrepresented in the empirical literature. Burgeoning evidence indicates that identity pathology is multifaceted, influenced by transactions between social and endogenous processes, and associated with a wide variety of maladaptive outcomes. Although historically defined by patterns of instability (e.g. frequent and rapid changes to career goals, religious beliefs, core values, friend groups, etc.), accumulating research indicates that identity pathology also manifests as distress and functional impairment related to excessive rigidity (i.e. unrelenting negative self-evaluations; overidentification with a restricted role or group membership) and/or incongruous behavior (i.e. simultaneously holding discordant beliefs/values/attitudes, actions that are grossly contradictory with values, incoherent sense of self, etc.). Despite the complex nature of this construct, and its centrality to BPD, researchers often assess identity pathology indirectly, inadequately, or fail to measure it entirely. In this article, we briefly describe how identity pathology may fit into etiological models of BPD, highlight emerging themes from recent research, and identify important gaps in our knowledge. We also discuss limitations associated with current assessment practices, recommend alternatives, and articulate a research agenda for the future.

Network Analyses of Maternal Pre- and Post-Partum Symptoms of Depression and Anxiety

BACKGROUND

Maternal mental health problems often develop prenatally and predict post-partum mental health. However, the circumstances before and following childbirth differ considerably. We currently lack an understanding of dynamic variation in the profiles of depressive and anxiety symptoms over the perinatal period.

METHODS

Depressive and anxiety symptoms were self-reported by 980 women at 26-week pregnancy and 3 months post-partum. We used network analysis of depressive and anxiety symptoms to investigate if the symptoms network changed during and after pregnancy. The pre- and post-partum depressive-anxiety symptom networks were assessed for changes in structure, unique symptom-symptom interactions, central and bridging symptoms. We also assessed if central symptoms had stronger predictive effect on offspring's developmental outcomes outcomes at birth and 24, 54, and 72 months old than non-central symptoms. Bridging symptoms between negative and positive mental health were also assessed.

RESULTS

Though the depressive-anxiety network structures were stable during and after pregnancy, the post-partum network was more strongly connected. The central depressive-anxiety symptoms were also different between prenatal and post-partum networks. During pregnancy, central symptoms were mostly related to feeling worthless or useless; after pregnancy, central symptoms were mostly related to feeling overwhelmed or being punished. Central symptoms during pregnancy were associated with poorer developmental outcomes for the child. Anxiety symptoms were strongest bridging symptoms during and after pregnancy. The interactions between negative and positive mental health symptoms were also different during and after pregnancy.

CONCLUSIONS

The differences between pre- and post-partum networks suggest that the presentation of maternal mental health problems varies over the peripartum period. This variation is not captured by traditional symptom scale scores. The bridging symptoms also suggest that anxiety symptoms may precede the development of maternal depression. Interventions and public health policies should thus be tailored to specific pre- and post-partum symptom profiles.

The Level of Personality Functioning Scale Applied to Clinical Material From the Structured Interview of Personality Organization (STIPO): Utility in Detecting Personality Pathology

The Alternative Model for Personality Disorders states that personality pathology involves significant impairment in personality functioning that can be assessed using the Level of Personality Functioning Scale (LPFS). However, the ability of the LPFS to capture impairments typical of personality pathology, rather than of general psychopathology, is still unclear. The authors applied a 12-item version of the LPFS to clinical interviews (i.e., the Structured Interview of Personality Organization [STIPO]) to test whether differences in levels of impairment in domains related to both self- and interpersonal functioning can be detected among patients with personality disorders (n = 33), psychiatric outpatients (n = 30), and nonclinical controls (n = 30). Results show that the 12-item version of the LPFS scored using clinical material gathered through STIPO interviews captures impairments in identity, self-direction, and empathy uniquely linked to personality pathology. However, impairments in intimacy do not differentiate between patients with and without personality disorders.

Daily-life affective instability in emotional distress disorders is associated with function and structure of posterior parietal cortex

Affective instability (i.e., large and frequent shifts in negative emotions) is a key emotion dysregulation symptom in emotional distress disorders and can be reliably and validly assessed using ambulatory assessment. However, no study has examined whether affective instability is associated with brain function and structure. Using multimodal neuroimaging and ambulatory assessment, we examined associations between functional activation and cortical structure with ambulatory-assessed affective instability in emotional distress disorders (n = 27). Increased daily life-affective instability was associated with decreased neural activation on an emotion regulation task in a left inferior parietal region consistently associated with emotion regulation. Daily-life affective instability was also associated with hypogyria in this same left inferior parietal region, with hypogyria extending into additional posterior parietal regions. This study found evidence that daily-life affective instability was associated with both functionstructure of the posterior parietal cortex, a key attentional control region involved in emotion regulation.

Differentiating borderline personality disorder (BPD) from bipolar disorder: diagnostic efficiency of DSM BPD criteria

OBJECTIVE

We sought to determine the differential diagnostic efficiency of all DSM-IV borderline personality disorder (BPD) criteria by studying a sample of those with BPD and a contrast group with a bipolar disorder (BP).

METHOD

Participants were clinically assessed and assigned diagnoses based on DSM criteria - with prevalence rates and diagnostic efficiency values calculated.

RESULTS

Fifty-three participants were assigned a BPD diagnosis, 83 a BP diagnosis, with comorbid participants excluded. The mean number of DSM BPD criteria assigned was 6.6 (SD = 1.0) in the BPD group and 1.9 (SD = 1.3) in the BP group. The most prevalent criterion in the BPD group was 'affective instability' (AI) (92.5%), with 'inappropriate anger' least endorsed (49%). The highest specificity criterion was 'abandonment fears', which displayed the greatest positive predictive value (PPV) = 0.9, and with AI offering the lowest specificity. 'Unstable relationships' had the highest overall negative predictive value (NPV) = 0.91. The highest percentage accuracy of classification was provided by 'identity disturbance' and 'abandonment fears' criteria, both 85%.

CONCLUSION

The transdiagnostic nature of 'affective instability' means it is less useful for diagnostic decisions, whereas 'abandonment fears' and 'identity disturbance' offer superior diagnostic efficiency in distinguishing BPD from BP.

Network Analysis of Posttraumatic Stress Disorder Symptoms in a National Sample of U.S. Adults: Implications for the Phenotype and the ICD-11 Model of PTSD

The phenotype for posttraumatic stress disorder (PTSD) in the fifth edition of the Diagnostic and Statistical Manual of Mental Diseases (DSM-5) includes 20 symptoms in four clusters. In contrast, the PTSD model in the 11th revision of the International Classification of Diseases (ICD-11) includes six symptoms in three clusters. Whether those six symptoms are, in fact, the most central symptoms of the PTSD phenotype remains an open question. In a previous network analysis of DSM-5 PTSD symptoms, Mitchell and colleagues (2017) reported limited overlap between central PTSD symptoms and those in the ICD-11 model in a national sample of U.S. veterans. The present study sought to replicate and extend upon these findings in a large national sample of U.S. adults (N = 2,953). Centrality statistics from both a replication sample (i.e., participants with DSM-5 PTSD, n = 173) and an extension sample (i.e., participants who had been exposed to potentially traumatic events, n = 2,468) were moderately strongly convergent with the findings reported by Mitchell et al., rs = .54-.73. Additionally, only three of the six most central symptoms in both the replication and extension samples overlapped with the ICD-11 model, indicating that the ICD-11 model (a) failed to include network-central symptoms of the PTSD phenotype and (b) included extra symptoms that were not network-central. Several symptoms from the DSM-5 Criterion D cluster (negative alterations in cognition and mood) that were excluded in ICD-11 were found to be among the most central PTSD symptoms.

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

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.

Changes in the network structure of posttraumatic stress disorder symptoms at different time points among youth survivors: A network analysis

BACKGROUND

Despite considerable studies focused on the symptoms of posttraumatic stress disorder (PTSD), little is understood about how symptoms of PTSD change over time. The study aimed to use a network analysis approach to understand the nature of the association between PTSD symptoms at different time points among children and adolescents who experience an earthquake.

METHODS

A longitudinal study enrolled 1623 youth survivors who completed 3 assessments with the Children's Revised Impact of Event Scale at 2 weeks, 3 months and 6 months after the Lushan earthquake. The epicentre was Baoxing Country that located in the Ya'an city (Sichuan Province in China). A network analysis approach was used to investigate how symptom networks change at different time points.

RESULTS

A total of 1623 youth survivors (768 male and 855 female) completed three assessments. Different centrality symptoms existed at different time points. Flashback and upset by reminders were centrality symptoms at 2 weeks, 3 months and 6 months. The overall network connectivity was significantly stronger at 3 months than at 2 weeks (5.663 vs. 5.140, s = 0.523, p = 0.000), and significantly stronger at 6 months than at 2 weeks (6.094 vs. 5.663, s = 0.432, p = 0.020).

LIMITATIONS

Participants from a specific region might limit the generalizability of our results. A self-report questionnaire was used to assess PTSD symptoms.

CONCLUSIONS

Re-experience cluster (flashback and upset by reminders) and their interactions might play a key role in PTSD symptom evolution. Over time, the global connectivity becomes stronger, suggesting that youth survivors are more vulnerable in the chronic phases.

The Differential Role of Central and Bridge Symptoms in Deactivating Psychopathological Networks

The network model of psychopathology suggests that central and bridge symptoms represent promising treatment targets because they may accelerate the deactivation of the network of interactions between the symptoms of mental disorders. However, the evidence confirming this hypothesis is scarce. This study re-analyzed a convenience sample of 51 cross-sectional psychopathological networks published in previous studies addressing diverse mental disorders or clinically relevant problems. In order to address the hypothesis that central and bridge symptoms are valuable treatment targets, this study simulated five distinct attack conditions on the psychopathological networks by deactivating symptoms based on two characteristics of central symptoms (degree and strength), two characteristics of bridge symptoms (overlap and bridgeness), and at random. The differential impact of the characteristics of these symptoms was assessed in terms of the magnitude and the extent of the attack required to achieve a maximum impact on the number of components, average path length, and connectivity. Only moderate evidence was obtained to sustain the hypothesis that central and bridge symptoms constitute preferential treatment targets. The results suggest that the degree, strength, and bridgeness attack conditions are more effective than the random attack condition only in increasing the number of components of the psychopathological networks. The degree attack condition seemed to perform better than the strength, bridgeness, and overlap attack conditions. Overlapping symptoms evidenced limited impact on the psychopathological networks. The need to address the basic mechanisms underlying the structure and dynamics of psychopathological networks through the expansion of the current methodological framework and its consolidation in more robust theories is stressed.

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

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.

Development and validation of an experience of time alone scale for borderline personality disorder

Background/Objective

Intolerance of aloneness is considered a core feature of borderline personality disorder (BPD) that is clinically significant, yet under-researched. This study developed a measure of aloneness for individuals with BPD.

Method

Interviews investigating the experience of aloneness for BPD participants (n = 12) formed the basis for the development of the measure. Pilot testing then occurred with BPD participants, control participants and qualified respondents. Validity, reliability and factor analysis of an Experience of Time Alone Scale (ETAS) was conducted with BPD participants (n = 112) and a comparison control group (n = 105).

Results

A three factor structure was revealed: (a) Cannot Cope Alone (α = .92), (b) Need to Escape from Others (α = .90), and (c) Consumed in Intolerable Distress (α = .88). The measure correlated significantly (p < .01) with the Mental Health Inventory, the Aloneness and Evocative Memory Scale, and the Hurvich Experience Inventory- Revised. Comparisons revealed highly significant differences between the BPD sample and control group on all subscales and the total score (U = 75.5, p = < .001, r = -.85).

Conclusions

This study represents one of the first empirical examinations of a construct that has largely only been studied theoretically. This newly developed measure may contribute to diagnosis and therapy.