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Shafiei G, Keller AS, Bertolero M, Shanmugan S, Bassett DS, Chen AA, Covitz S, Houghton A, Luo A, Mehta K, Salo T, Shinohara RT, Fair D, Hallquist MN, Satterthwaite TD. Generalizable Links Between Borderline Personality Traits and Functional Connectivity. Biol Psychiatry 2024:S0006-3223(24)01140-5. [PMID: 38460580 DOI: 10.1016/j.biopsych.2024.02.1016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 02/02/2024] [Accepted: 02/29/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND Symptoms of borderline personality disorder (BPD) often manifest during adolescence, but the underlying relationship between these debilitating symptoms and the development of functional brain networks is not well understood. Here, we aimed to investigate how multivariate patterns of functional connectivity are associated with borderline personality traits in large samples of young adults and adolescents. METHODS We used functional magnetic resonance imaging data from young adults and adolescents from the HCP-YA (Human Connectome Project Young Adult) (n = 870, ages 22-37 years, 457 female) and the HCP-D (Human Connectome Project Development) (n = 223, ages 16-21 years, 121 female). A previously validated BPD proxy score was derived from the NEO Five-Factor Inventory. A ridge regression model with cross-validation and nested hyperparameter tuning was trained and tested in HCP-YA to predict BPD scores in unseen data from regional functional connectivity. The trained model was further tested on data from HCP-D without further tuning. Finally, we tested how the connectivity patterns associated with BPD aligned with age-related changes in connectivity. RESULTS Multivariate functional connectivity patterns significantly predicted out-of-sample BPD scores in unseen data in young adults (HCP-YA ppermuted = .001) and older adolescents (HCP-D ppermuted = .001). Regional predictive capacity was heterogeneous; the most predictive regions were found in functional systems relevant for emotion regulation and executive function, including the ventral attention network. Finally, regional functional connectivity patterns that predicted BPD scores aligned with those associated with development in youth. CONCLUSIONS Individual differences in functional connectivity in developmentally sensitive regions are associated with borderline personality traits.
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Affiliation(s)
- Golia Shafiei
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Arielle S Keller
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Maxwell Bertolero
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sheila Shanmugan
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Dani S Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Santa Fe Institute, Santa Fe, New Mexico
| | - Andrew A Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sydney Covitz
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, Minnesota
| | - Audrey Luo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kahini Mehta
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Taylor Salo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Damien Fair
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Michael N Hallquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania.
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Shafiei G, Keller AS, Bertolero M, Shanmugan S, Bassett DS, Chen AA, Covitz S, Houghton A, Luo A, Mehta K, Salo T, Shinohara RT, Fair D, Hallquist MN, Satterthwaite TD. Generalizable links between symptoms of borderline personality disorder and functional connectivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.03.551534. [PMID: 37662311 PMCID: PMC10473667 DOI: 10.1101/2023.08.03.551534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Background | Symptoms of borderline personality disorder (BPD) often manifest in adolescence, yet the underlying relationship between these debilitating symptoms and the development of functional brain networks is not well understood. Here we aimed to investigate how multivariate patterns of functional connectivity are associated with symptoms of BPD in a large sample of young adults and adolescents. Methods | We used high-quality functional Magnetic Resonance Imaging (fMRI) data from young adults from the Human Connectome Project: Young Adults (HCP-YA; N = 870, ages 22-37 years, 457 female) and youth from the Human Connectome Project: Development (HCP-D; N = 223, age range 16-21 years, 121 female). A previously validated BPD proxy score was derived from the NEO Five Factor Inventory (NEO-FFI). A ridge regression model with 10-fold cross-validation and nested hyperparameter tuning was trained and tested in HCP-YA to predict BPD scores in unseen data from regional functional connectivity, while controlling for in-scanner motion, age, and sex. The trained model was further tested on data from HCP-D without further tuning. Finally, we tested how the connectivity patterns associated with BPD aligned with age-related changes in connectivity. Results | Multivariate functional connectivity patterns significantly predicted out-of-sample BPD proxy scores in unseen data in both young adults (HCP-YA; pperm = 0.001) and older adolescents (HCP-D; pperm = 0.001). Predictive capacity of regions was heterogeneous; the most predictive regions were found in functional systems relevant for emotion regulation and executive function, including the ventral attention network. Finally, regional functional connectivity patterns that predicted BPD proxy scores aligned with those associated with development in youth. Conclusion | Individual differences in functional connectivity in developmentally-sensitive regions are associated with the symptoms of BPD.
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Affiliation(s)
- Golia Shafiei
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Arielle S. Keller
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Maxwell Bertolero
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sheila Shanmugan
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dani S. Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Santa Fe Institute, Santa Fe, NM 87501
| | - Andrew A. Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics,Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sydney Covitz
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
| | - Audrey Luo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kahini Mehta
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Taylor Salo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Russell T. Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics,Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Damien Fair
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
- Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
| | - Michael N. Hallquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Theodore D. Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
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van Eeden WA, van Hemert AM, Giltay EJ, Spinhoven P, de Beurs E, Carlier IV. Prognostic Value of Pathological Personality Traits for Treatment Outcome in Anxiety and Depressive Disorders: The Leiden Routine Outcome Monitoring Study. J Nerv Ment Dis 2022; 210:767-776. [PMID: 35471975 PMCID: PMC9555756 DOI: 10.1097/nmd.0000000000001535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Previous studies have failed to take baseline severity into account when assessing the effects of pathological personality traits (PPT) on treatment outcome. This study assessed the prognostic value of PPT (Dimensional Assessment of Personality Pathology-Short Form) on treatment outcome (Brief Symptom Inventory [BSI-posttreatment]) among patients with depressive and/or anxiety disorders ( N = 5689). Baseline symptom level (BSI-pretreatment) was taken into account as a mediator or moderator variable. Results showed significant effects of PPT on outcome, of which Emotional Dysregulation demonstrated the largest association ( β = 0.43, p < 0.001). When including baseline BSI score as a mediator variable, a direct effect ( β = 0.11, p < 0.001) remained approximately one-third of the total effect. The effects of Emotional Dysregulation (interaction effect β = 0.061, p < 0.001) and Inhibition (interaction effect β = 0.062, p < 0.001), but not Compulsivity or Dissocial Behavior, were moderated by the baseline symptom level. PPT predicts higher symptom levels, both before and after treatment, but yields relatively small direct effects on symptom decline when the effect of pretreatment severity is taken into account.
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Affiliation(s)
| | | | - Erik J. Giltay
- Department of Psychiatry, Leiden University Medical Centre (LUMC)
| | - Philip Spinhoven
- Department of Psychiatry, Leiden University Medical Centre (LUMC)
- Clinical Psychology Unit, Institute of Psychology, Leiden University, Leiden, Zuid Holland, the Netherlands
| | - Edwin de Beurs
- Clinical Psychology Unit, Institute of Psychology, Leiden University, Leiden, Zuid Holland, the Netherlands
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Self-report response style bias and borderline personality features. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03122-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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The Validation of a Five-Item Screening Scale for Personality Disorders in Dutch-Speaking Community Adolescents and Adults. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2022. [DOI: 10.1007/s10862-022-09951-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Cruitt PJ, Hill PL, Oltmanns TF. Personality pathology predicts increased informant-reported, but not performance-based, cognitive decline: Findings from two samples. Personal Disord 2022; 13:30-40. [PMID: 33507791 PMCID: PMC8475501 DOI: 10.1037/per0000434] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Research on the relationship between normal-range personality and cognitive aging has demonstrated consistent, modest effects. The current investigation increases our understanding of unhealthy cognitive aging by testing whether personality disorders (PDs), specifically borderline, avoidant, and obsessive-compulsive PDs, show prospective associations with the onset of cognitive problems. Interpersonal stressful life events and social support were expected to mediate these relationships. The current investigation used data from 2 longitudinal studies of older adulthood: the Alzheimer's disease Research Center cohort (ADRC, N = 434, Mage = 69.95, 56% women) and the St. Louis Personality and Aging Network study (SPAN, N = 1,058, Mage = 65.92, 54% women). The ADRC study administered a battery of neuropsychological tests to assess cognitive ability/memory. Borderline PD was measured with a composite from the NEO Five-Factor Inventory. The SPAN study administered self-, informant, and interview measures of the three PDs; a free-recall task; and an informant report measure of cognitive problems. Borderline PD features exhibited cross-sectional correlations with memory (ADRC: r = -.11; SPAN: all rs = -.08), general cognitive ability (ADRC: r = -.11), and informant-reported cognitive problems (rs ranged from .15 to .39). Most importantly, borderline PD features predicted an increase in informant-reported cognitive problems in SPAN participants (standardized bs = .13 and .15) over a 2-year period, but they did not predict a deterioration in the performance-based cognitive measures in either study. Avoidant and obsessive-compulsive PDs exhibited little association with cognitive aging. Neither interpersonal variable mediated any of these effects. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Patrick J. Cruitt
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO.,Psychology Doctoral Internship Program, Minneapolis VA Health Care System, Minneapolis, MN
| | - Patrick L. Hill
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO
| | - Thomas F. Oltmanns
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO
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Baranger DAA, Few LR, Sheinbein DH, Agrawal A, Oltmanns TF, Knodt AR, Barch DM, Hariri AR, Bogdan R. Borderline Personality Traits Are Not Correlated With Brain Structure in Two Large Samples. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:669-677. [PMID: 32312691 PMCID: PMC7360105 DOI: 10.1016/j.bpsc.2020.02.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/06/2020] [Accepted: 02/15/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Borderline personality disorder is associated with severe psychiatric presentations and has been linked to variability in brain structure. Dimensional models of borderline personality traits (BPTs) have become influential; however, associations between BPTs and brain structure remain poorly understood. METHODS We tested whether BPTs are associated with regional cortical thickness, cortical surface area, and subcortical volumes (n = 152 brain structure metrics) in data from the Duke Neurogenetics Study (n = 1299) and Human Connectome Project (n = 1099). Positive control analyses tested whether BPTs are associated with related behaviors (e.g., suicidal thoughts and behaviors, psychiatric diagnoses) and experiences (e.g., adverse childhood experiences). RESULTS While BPTs were robustly associated with all positive control measures, they were not significantly associated with any brain structure metrics in the Duke Neurogenetics Study or Human Connectome Project, or in a meta-analysis of both samples. The strongest findings from the meta-analysis showed a positive association between BPTs and volumes of the left ventral diencephalon and thalamus (p values < .005 uncorrected, p values > .1 false discovery rate-corrected). Contrasting high and low BPT decile groups (n = 552) revealed no false discovery rate-significant associations with brain structure. CONCLUSIONS We find replicable evidence that BPTs are not associated with brain structure despite being correlated with independent behavioral measures. Prior reports linking brain morphology to borderline personality disorder may be driven by factors other than traits (e.g., severe presentations, comorbid conditions, severe childhood adversity, or medication) or reflect false positives. The etiology or consequences of BPTs may not be attributable to brain structure measured via magnetic resonance imaging. Future studies of BPTs will require much larger sample sizes to detect these very small effects.
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Affiliation(s)
- David A A Baranger
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
| | - Lauren R Few
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Daniel H Sheinbein
- Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Thomas F Oltmanns
- Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri.
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Hooley JM. Borderline Personality Disorder, Borderline Traits, and Brain Structure. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:638-639. [PMID: 32646617 DOI: 10.1016/j.bpsc.2020.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 05/12/2020] [Indexed: 06/11/2023]
Affiliation(s)
- Jill M Hooley
- Department of Psychology, Harvard University, Cambridge, Massachusetts.
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Barber TA, Ringwald WR, Wright AGC, Manuck SB. Borderline personality disorder traits associate with midlife cardiometabolic risk. Personal Disord 2019; 11:151-156. [PMID: 31647268 DOI: 10.1037/per0000373] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
There is growing interest in relationships between borderline personality disorder (BPD) pathology and physical health outcomes. Diagnostic BPD and BPD-related traits, for instance, have been shown to associate with self-reported cardiovascular disease and various cardiometabolic risk factors. However, potential confounding of these associations by comorbid depression, which itself contributes to risk for heart disease, remains unresolved, and previous research is limited by nearly uniform reliance on self-reported health status. In the present study, we examine the association of BPD traits and contemporaneously assessed depressive mood with instrumented measures of cardiometabolic risk in a midlife community sample (N = 1,295). BPD pathology was measured using dimensional, multi-informant trait measures; depressive symptomology was self-reported; and cardiometabolic risk was indexed via multiple indicators of insulin resistance, adiposity, dyslipidemia, and blood pressure. Structural equation modeling was used to estimate the effects of BPD traits and depressive symptoms on aggregated cardiometabolic risk, adjusting for their shared variance. Results showed both BPD features and depressive symptomatology related to the extent of cardiometabolic risk; when examined simultaneously, only BPD associated independently with risk indicators. In further supporting a link between BPD pathology and cardiovascular disease risk, these findings warrant future work to elucidate intervening behavioral and biological mechanisms. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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Katz AC, Hee D, Hooker CI, Shankman SA. A Family Study of the DSM-5 Section III Personality Pathology Model Using the Personality Inventory for the DSM-5 (PID-5). J Pers Disord 2018; 32:753-765. [PMID: 28972815 DOI: 10.1521/pedi_2017_31_323] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
In Section III of the DSM-5, the American Psychiatric Association (APA) proposes a pathological personality trait model of personality disorders. The recommended assessment instrument is the Personality Inventory for the DSM-5 (PID-5), an empirically derived scale that assesses personality pathology along five domains and 25 facets. Although the PID-5 demonstrates strong convergent validity with other personality measures, no study has examined whether it identifies traits that run in families, another important step toward validating the DSM-5's dimensional model. Using a family study method, we investigated familial associations of PID-5 domain and facet scores in 195 families, examining associations between parents and offspring and across siblings. The Psychoticism, Antagonism, and Detachment domains showed significant familial aggregation, as did facets of Negative Affect and Disinhibition. Results are discussed in the context of personality pathology and family study methodology. The results also help validate the PID-5, given the familial nature of personality traits.
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Conway CC, Hopwood CJ, Morey LC, Skodol AE. Borderline personality disorder is equally trait-like and state-like over ten years in adult psychiatric patients. JOURNAL OF ABNORMAL PSYCHOLOGY 2018; 127:590-601. [PMID: 29952598 DOI: 10.1037/abn0000364] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Borderline personality disorder (PD) has historically been cast as an unabating condition. Longitudinal data, however, support a more variable time course marked by remission and relapse. In the present study, we tested the possibility that borderline PD has both stable (i.e., consistently present across time and situation, as modern diagnostic systems stipulate) and dynamic (i.e., episodic and situational) elements. Participants were 668 patients from the Collaborative Longitudinal Personality Disorders Study who were administered semistructured diagnostic interviews 5 times over a decade. Trait-state-occasion modeling dissected borderline pathology into time-invariant (i.e., trait) and time-varying (i.e., state) components. Contradicting traditional views of PD intransigence, less than half of borderline PD variability (approximately 45%) was time-invariant (i.e., perfectly stable) over the study timeframe. Furthermore, we found that the time-invariant component of borderline pathology, which we termed borderline proneness, was very closely related (r = .81) to a previously validated Five Factor Model trait composite of borderline features. Moreover, the trait versus state components showed a clear pattern of discriminant validity in relation to several putative causal agents for borderline PD (i.e., environmental pathogens, temperament dimensions). We conclude that borderline pathology contains a stable core and sizable situational components, and that both elements relate systematically to normative personality dimensions and known risk factors. These findings have key implications for etiological research, prognosis, and treatment for borderline PD. (PsycINFO Database Record
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Grove JL, Smith TW, Crowell SE, Ellis JH. Preliminary Evidence for Emotion Dysregulation as a Mechanism Underlying Poor Sleep Quality in Borderline Personality Disorder. J Pers Disord 2017; 31:542-552. [PMID: 27617649 DOI: 10.1521/pedi_2016_30_261] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Sleep disturbance is common in borderline personality disorder (BPD), yet the reasons for this association are not clear. The present study sought to extend prior studies by testing emotion dysregulation as a mechanism underlying this association. We administered self-report measures of sleep quality (SQ), emotion dysregulation, and borderline features to two cross-sectional samples of undergraduates (sample 1: N = 293; sample 2: N = 188). In addition to replicating prior studies linking BPD features to poor SQ, analyses indicated that BPD features related to emotion dysregulation were most strongly correlated with poorer global SQ across both samples. Further, bootstrapping techniques revealed indirect associations by total score on the Difficulties in Emotion Regulation Scale (DERS), as well as for several of its facets (lack of strategies, lack of emotional clarity, lack of awareness). We discuss the potential clinical relevance of emotion dysregulation in the treatment of co-occurring sleep problems in BPD.
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Affiliation(s)
- Karrie Houghton
- Student mental health nurse, University of Central Lancashire
| | - Emma Jones
- Senior lecturer, mental health, School of Nursing, University of Central Lancashire
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Abstract
This study identifies childhood personality traits that are precursors of adult Borderline Personality Disorder (BPD) features. In a longitudinal study, childhood personality traits were assessed at age 11 (N = 100) using the California Child Q-set (CCQ: Block and Block, 1980). A number of these Q-items were found to be significantly correlated (p < 0.001) with a prototype-based measure of BPD features at age 23. Factor analysis of these Q-items suggested that they could be characterized by two underlying personality dimensions: Impulsivity and Nonconformity/Aggression. The findings thus provide evidence that childhood personality traits predict adult BPD features. Identifying such childhood precursors provides an opportunity for early intervention.
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Brüne M. Borderline Personality Disorder: Why 'fast and furious'? EVOLUTION MEDICINE AND PUBLIC HEALTH 2016; 2016:52-66. [PMID: 26929090 PMCID: PMC4782519 DOI: 10.1093/emph/eow002] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/13/2015] [Accepted: 01/14/2016] [Indexed: 12/15/2022]
Abstract
The term 'Borderline Personality Disorder' (BPD) refers to a psychiatric syndrome that is characterized by emotion dysregulation, impulsivity, risk-taking behavior, irritability, feelings of emptiness, self-injury and fear of abandonment, as well as unstable interpersonal relationships. BPD is not only common in psychiatric populations but also more prevalent in the general community than previously thought, and thus represents an important public health issue. In contrast to most psychiatric disorders, some symptoms associated with BPD may improve over time, even without therapy, though impaired social functioning and interpersonal disturbances in close relationships often persist. Another counterintuitive and insufficiently resolved question is why depressive symptoms and risk-taking behaviors can occur simultaneously in the same individual. Moreover, there is an ongoing debate about the nosological position of BPD, which impacts on research regarding sex differences in clinical presentation and patterns of comorbidity.In this review, it is argued that many features of BPD may be conceptualized within an evolutionary framework, namely behavioral ecology. According to Life History Theory, BPD reflects a pathological extreme or distortion of a behavioral 'strategy' which unconsciously aims at immediate exploitation of resources, both interpersonal and material, based on predictions shaped by early developmental experiences. Such a view is consistent with standard medical conceptualizations of BPD, but goes beyond classic 'deficit'-oriented models, which may have profound implications for therapeutic approaches.
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Affiliation(s)
- Martin Brüne
- LWL University Hospital, Department of Psychiatry, Psychotherapy and Psychiatric Preventive Medicine, Division of Cognitive Neuropsychiatry and Psychiatric Preventive Medicine, Ruhr-University Bochum, Germany
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Lavner JA, Lamkin J, Miller JD. Borderline personality disorder symptoms and newlyweds' observed communication, partner characteristics, and longitudinal marital outcomes. JOURNAL OF ABNORMAL PSYCHOLOGY 2015. [PMID: 26348097 DOI: 10.1037/abn0000095 10.1037/abn0000095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Given borderline personality disorder's (BPD) relation with interpersonal dysfunction, there is substantial interest in understanding BPD's effect on marriage. The current study used data from a community sample of 172 newlywed couples to examine spouses' BPD symptoms in relation to their observed communication, partner BPD symptoms, 4-year marital quality trajectories, and 10-year divorce rates. BPD symptoms were correlated cross-sectionally with more negative skills during observational problem-solving and social support tasks, and spouses reporting more BPD symptoms were married to partners reporting more BPD symptoms. Longitudinally, hierarchical linear modeling of newlyweds' 4-year marital trajectories indicated that BPD symptoms predicted the intercept of marital quality for spouses and their partners, reflecting lower levels of marital satisfaction and higher levels of marital problems. BPD symptoms did not predict 10-year divorce rates. These findings highlight the chronic relationship impairment associated with BPD symptoms, indicate that distress begins early in marriage, and suggest that partners with higher levels of BPD symptoms remain in more troubled marriages.
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Lavner JA, Lamkin J, Miller JD. Borderline personality disorder symptoms and newlyweds' observed communication, partner characteristics, and longitudinal marital outcomes. JOURNAL OF ABNORMAL PSYCHOLOGY 2015; 124:975-81. [PMID: 26348097 DOI: 10.1037/abn0000095] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Given borderline personality disorder's (BPD) relation with interpersonal dysfunction, there is substantial interest in understanding BPD's effect on marriage. The current study used data from a community sample of 172 newlywed couples to examine spouses' BPD symptoms in relation to their observed communication, partner BPD symptoms, 4-year marital quality trajectories, and 10-year divorce rates. BPD symptoms were correlated cross-sectionally with more negative skills during observational problem-solving and social support tasks, and spouses reporting more BPD symptoms were married to partners reporting more BPD symptoms. Longitudinally, hierarchical linear modeling of newlyweds' 4-year marital trajectories indicated that BPD symptoms predicted the intercept of marital quality for spouses and their partners, reflecting lower levels of marital satisfaction and higher levels of marital problems. BPD symptoms did not predict 10-year divorce rates. These findings highlight the chronic relationship impairment associated with BPD symptoms, indicate that distress begins early in marriage, and suggest that partners with higher levels of BPD symptoms remain in more troubled marriages.
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