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BRIEF RESEARCH REPORT article

Front. Psychiatry, 20 October 2022
Sec. Personality Disorders
This article is part of the Research Topic Self-Understanding and Other-Understanding in Personality Pathology View all 13 articles

Borderline personality disorder traits and mentalising ability: The self-other social cognition paradox

  • 1School of Psychology, National University of Ireland Galway, Galway, Ireland
  • 2School of Psychology, Queen’s University Belfast, Belfast, United Kingdom
  • 3Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland

Objective: Borderline personality disorder (BPD) is a psychiatric condition characterised by a pervasive pattern of impulsivity, low self-image, and interpersonal conflicts. Previous findings indicate a mixed relationship between BPD and social cognition; little research as investigated whether BPD traits influence performance on specific elements of social cognitive tasks, i.e., positive/negative valence.

Method: Community-based typical controls (n = 151; 51% female) were recruited through an online survey. Participants completed aspects of the Personality Assessment Inventory pertaining to BPD traits, the Interpersonal Reactivity Index, and measures of both emotion recognition and mentalising.

Results: Following group stratification into high/low BPD traits, participants with high BPD traits were observed to perform significantly better when identifying negative valence stimuli. Furthermore, high levels of affect instability was found to significantly influence negative valence recognition.

Conclusion: This research highlights previous research which shows a paradox between higher performance on measures of social cognition, with a group of individuals who report significant interpersonal and relational difficulties. This research supports the assessment of social cognitive processes for people with BPD and/or high BPD traits to support clinical formulation of strengths and difficulties.

Introduction

Borderline personality disorder (BPD) is defined as a psychiatric condition, characterised by a pervasive pattern of marked impulsivity and instability in affects, self-image, and interpersonal relationships (1). BPD as a clinical syndrome affects up to 5.9% of the general population (2); 11% of psychiatric outpatients (3); and 33% of psychiatry inpatients (4), with an increasing incidence (5, 6).

The diagnostic criteria outlined by the DSM-5, requires an individual’s particular maladaptive personality traits to be pervasive, persistent, and unlikely to be limited to a particular developmental stage or another mental disorder (1). The DSM-5 also requires clinicians to consider two sets of criteria (A and B), in the assessment of BPD. Criterion A requires judgement of severity of identity problems, self-direction, empathy, and intimacy. Criterion B requires the presence of at least four out of seven pathological personality traits.

Borderline personality disorder traits include emotional lability, anxiousness, separation insecurity, depressivity, impulsivity, risk-taking, and hostility (1, 7). According to some, BPD has three clusters of symptoms which relate to the intra- and inter-personal nature of the disorder and encompass the range of diagnostic criteria of the DSM-5: affect dysregulation, behavioural dysregulation, and significant difficulties relating to others (8). Affect and behavioural dysregulation largely relate to the self, though significantly impact interpersonal relationships and are described as phenotypic traits of BPD in both cross-sectional and longitudinal studies (9, 10).

Clinical and empirical observations have proposed that one’s own impaired social cognition is a mechanism underlying the development and maintenance of BPD traits through suboptimal social encounters and engagements with others (11). Fonagy et al. (12) showed that impaired social relatedness and social cognition is linked to BPD traits. Social cognition is broadly defined as the ability to identify, understand, and interpret mental states and recognise emotions (13). Social cognition is a neurocognitive concept that includes comprehending others’ intentions, beliefs, feelings, and mental states (affective theory of mind), as well as social interaction, social context, and social decision making (cognitive theory of mind) (14). Empathy generally refers to a affective route for understanding others (15), while theory of mind (ToM) refers to neuropsychological processing of others’ mental states or intentions (16). The terms mentalising and ToM are often used interchangeably, with ToM typically recognised as a superordinate category, however it is important to note how these terms differ. Mentalising refers to elaboration of drive-affect experiences as mental phenomena and structures and is critical for comprehending each other and oneself in relation to subjective states and mental processes (17). ToM encompasses the ability of perspective taking to infer others’ thoughts, beliefs, and emotions as well as decoding others’ complex emotions and mental states by understanding subtle affective perceptual stimuli and contextual information (18, 19).

Social cognitive abilities are required for successful social interactions and enable individuals to develop and maintain both short and long-term relationships with others. According to Goueli et al. (20), impaired social cognition is a psychopathological cornerstone of BPD. Findings relating to mental state attribution are incongruous in the area of BPD. A myriad of studies assessed self-reported perspective taking in BPD patients using the Interpersonal Reliability Index [IRI; (21)], and found reduced performance when compared to people with anorexia nervosa and non-clinical controls (2224). Emotion recognition tasks have also been used with inconsistent results (25, 26). Some report people with BPD correctly identified emotional facial expressions (25, 27), while others indicated that people with BPD had reduced performance and showed bias toward the perception of anger in pictures of faces displaying blends of two emotions (26). Bora et al. (18), suggest interpersonal problems and difficulties in processing social information in BPD can be best explained by patients’ maladaptive meta-social cognitive style and the top-down effects of such abnormalities as opposed to having a primary neuro-social cognitive deficit which may partially explain the variance in results in the literature. Notably, studies have indicated that when facial emotion recognition tasks approximate more complex and naturalistic situations, BPD patients display increased error rates compared to non-clinical controls (28, 29).

Ghiassi et al. (30) investigated mentalising, which was not impaired in BPD patients compared to non-clinical controls. However, other research reports deficits in ToM for people with BPD (23). This may be due to measurement and psychometric error, as the faux-pas task (31) was used by (23), while Ghiassi et al. (30) used the cartoon task (32) and the differences of measurement between social cognition tests is nuanced. Using the Movie for Assessment of Social Cognition [MASC; (33, 34)] BPD patients have been reported to have impaired recognition of emotion, thoughts, and intentions of others (35). The MASC was utilised in a further study on adolescents with BPD traits which found evidence for impaired social cognition in those with high traits compared to low (36). Notwithstanding the above, there is also a body of literature which suggests that people with BPD have a superior ability to infer mental states of others, when compared to typical controls. Such findings contribute to the self-other social cognitive paradox, which suggests that BPD patients have enhanced mentalising abilities, despite a fundamental difficulty with relatedness and interpersonal relationships (37). One such study (38) investigated outcomes on the “Reading the Mind in the Eyes Test” (RMET) in BPD patients compared to healthy controls. Currently, the wider literature is mixed regarding whether the RMET is a measure of emotion recognition, mentalising or a combination of both (3941). In line with the view of Oakley et al. (40) who report that “theory of mind is not theory of emotion,” we consider emotion recognition tasks as those more “basic emotion” labelling or matching (e.g., happy/sad/angry), with mentalising considered to involve more complex, higher-level cognitive processing (42, 43).

This study reported the BPD group performed significantly better on total RMET score. A later study examining behavioural and neuropsychological responses of BPD patients and healthy controls during performance of the RMET supported these results (37). Results showed BPD patients demonstrated superior mental state discrimination than healthy controls. A significant main group effect was seen, specifically in mental state discrimination between positive and negative eye gazes. Unoka et al. (44) also utilised the RMET to research mentalising in BPD; This study used a sample of 78 BPD patients and 76 matched healthy controls and found poorer on the RMET when patients were compared to controls, though no significant difference was reported for negative items on the task. Petersen et al. (45) also report that people with BPD performed poorer on the RMET test, which was specifically driven by incorrect responses to positive stimuli. Zabihzadeh et al. (46) further investigated outcomes on the RMET and the Faux Pas Test (cognitive theory of mind) which showed that people with BPD had higher scores on mentalising, while the control group was higher on cognitive theory of mind. Savage and Lenzenweger (47) further studied participants with BPD traits comparing scores on RMET performance pre and post social exclusion via computerised task that mimics social ostracism. A significant interaction was found between participants with BPD traits and RMET scores, suggesting that once an individual with BPD traits experiences social exclusion, their objectivity decreases, and negative affective valence is ascribed to stimuli previously perceived as neutral. Similar results were observed by Scott et al. (48) who showed that patients with BPD tend to misattribute malevolence to benign social stimuli, including facial expressions, with enhanced accuracy on the RMET in healthy individuals with high BPD traits compared to low. These findings suggest BPD traits may be associated with enhanced ability to detect and interpret mental states and a bias for attributing negative emotions to non-negative stimuli. Notably, researchers have suggested the RMET to be a measure of superficial mentalising as opposed to a comprehensive measure of genuine mentalising ability due to the fact that there is no requirement for participants to reason about behaviour based on their mental state attributions (45). Such methodological flaws in measures of social cognitive abilities may partially account for the heterogenous findings in the area.

Incongruent results have also been reported for empathy, which can be described as an observer’s emotional response to another person’s emotional state (49). Harari and colleagues found that self-reported affective aspects of empathy were increased in BPD patients. Conversely, New et al. (24), did not find significant group differences when comparing BPD patients and non-clinical controls using the same measure. In further conflicting results, Dziobek et al. (50) found BPD patients had significantly reduced tendencies to feel empathy for others in emotionally distressing situations assessed using the Multifaceted Empathy Test [MET; (51)]. However, while there is no objective guideline as to what level of Cronbach’s alpha is required for an instrument to be considered useful, general conventions would characterise the reliability of the MET scale as inadequate (52, 53). Additionally, this study reported decreased values on the Interpersonal Reactivity Index [IRI; (21)], empathic concern scale.

It is clear from the literature that further research is needed into social cognition and both clinical and sub-clinical BPD traits. Previous studies on BPD have focussed narrowly on specific aspects of social cognition and have produced conflicting results (35, 54). The assessment of varied domains of objective and subjective social cognition is required to identify typical patterns of abilities as well as deficits. Research on social cognition has the potential to bolster psychopathology models of BPD that emphasise social cognitive outcomes as a core deficit (55). The current study aims to investigate the relationship between social cognition and BPD traits further, to determine which specific BPD traits predict social cognition outcomes. The objective was to determine if group differences existed on the specific positive, negative, and neutral subscales of the RMET, and whether performance related to other measures of social cognition. This study further aimed to quantify the predictive relationship between BPD traits and mentalising outcomes, in a community sample of controls.

Materials and methods

Participants and procedure

This study employed a cross-sectional survey-based design from a community-based sample of typical controls. Data from 151 participants were gathered using Prolific Academic©, an online platform for survey-based data collection. In terms of eligibility criteria, participants were required to be over the age of 18, to give explicit consent for data usage, and to be residents in the Republic of Ireland. Exclusion criteria included having existing neurological or mental health diagnoses which may interfere with test performance; and being non-native English speakers. Participants were screened for exclusion criteria through online survey questions, prior to engaging with the study. Following this, participants provided consent and demographic details and then proceeded to complete the online psychometric and cognitive measures.

On completion of the survey, participants received a gratuity of commensurate with the hourly minimum wage rate in Ireland. A pilot study was conducted with 10 participants, with no changes made following this. Consequently, the study was continued and the data from these 10 was retained. The average duration of the experiment was approximately 30 min. The mean age of participants was 38.79 (SD = 12.37), ranging from 20 to 76. The sample was comprised of 49.67% males (N = 75) and 50.33% females (N = 76).

This study was approved by the School of Psychology Health Research Ethics Committee at National University of Ireland Galway. All procedures were conducted in accordance with the principles expressed in the Declaration of Helsinki.

Measures

Demographics

Participants provided basic demographic information such as age, sex, education, and employment status. Demographics, social cognition and psychopathy outcomes were gathered using the online platform, Prolific Academy©. This platform has been shown to have high data quality, a diverse participant pool, and demonstrates reproducibility of known effects.

The reading the mind in the eyes task

The Reading the Mind in the Eyes Task [RMET; (39)] is a 36-item assessment where black and white photographs of eye regions are presented, and participants are requested to infer mental states from four choices provided. The RMET can also provide individual scores for Positive, Negative, and Neutral valence (5659). Examples of Positive valence include Friendly (Q20); Negative valence: Hostile (Q26); Neutral valence: pensive (Q24). The RMET has been found to be reliable and stable over time (60), with a Cronbach’s alpha of 0.88 (61). The RMET has further been validated using remote administration via survey-based platforms (62), and does not produce ceiling effects (63).

The Florida Affect Battery

The Florida Affect Battery [FAB; (64)], is a measure of emotion recognition. Five different emotional states are used across the subtests: happiness, sadness, anger, fear, and neutral. Subtests of the FAB included were (1) facial affect discrimination, and (2) facial affect naming. In the facial affect discrimination subtest participants must determine whether two faces depict the same or different emotional expressions. In the facial affect subtest, individual faces are shown as stimuli and participants is asked to name the emotion depicted. Test-retest reliability of the FAB has been examined and ranged from 0.89 to 0.97, with the Cronbach’s alpha for the facial scales reported at 0.82 (64).

The Interpersonal Reactivity Index (IRI)

The Interpersonal Reactivity Index [IRI; (21)] is a 28-item self-report instrument designed to assess empathic tendencies. The IRI consists of four separate 7-item subscales: Perspective Taking (PT; Cronbach’s alpha: 0.83), Fantasy (FS; Cronbach’s alpha: 0.86), Empathic Concern (EC; Cronbach’s alpha: 0.83), and Personal Distress (PD; Cronbach’s alpha: 0.78), which are measured using a 5-point Likert scale ranging from “Does not describe me well” to “Describes me very well” (65). PT refers to the tendency to spontaneously adopt the psychological point of view of others. FS describes the likelihood that a person identifies with a fictional character. EC assesses individuals’ feelings of concern and compassion for others. Lastly, PD indicates the extent that a person feels uneasiness or worry when exposed to the negative experience of others. The IRI has robust validity and is among the most widely used measures of empathy (66).

The Personality Assessment Inventory

The Personality Assessment Inventory [PAI; (67, 68)], is a self-administered test of personality and psychopathology. The PAI is a 344-item questionnaire in which there are 22 non-overlapping subscales. For the purpose of this study, Borderline Features (Bor) was measured, which focuses on attributes indicative of a BPD, including unstable and fluctuating interpersonal relations, impulsivity, affective lability and instability, and uncontrolled anger. The Bor scale is a sum of four subscales: Bor-A (Affect Instability); Bor-I (Identity problems); Bor-N (Negative Relationships), and Bor-S (Self-Harm). The respondent is asked to check one of four response options indicating the extent to which the item statement accurately describes them. For each scale responses are standardised with reference to a national census-matched sample of community adults. The standardisation results in a T score, with 50T representing the mean, and the standard deviation being 10T. A score of ≥ 70T represents a level of reported symptoms that is rarely seen in the general population and is considered very clinically relevant. For the purpose of this study, people who scored > 70T on a measure of the PAI Borderline subscales, were categorised as high self-report, compared to those who endorsed items < 70T. The PAI was chosen for this study as it has robust content and discriminant validity as well as internal consistency reliability estimates (69, 70), with the Cronbach’s alpha of the Bor scale at 0.91 (71).

Statistical analysis

Demographic characteristics and outcome data are reported as means, standard deviations, and frequencies as relevant. Based on the data obtained, classification for good internal consistency, using Cronbach’s alpha, remains at the internationally accepted value > 0.70. The data was analysed using the IBM SPSS v27. Power analysis revealed 150 participants were required to detect a minimum effect size (r = 0.15) with an alpha level of 0.05 with 95% power. Our a priori power analyses for group comparisons indicated that a minimum of = 42 would be required per group to detect a medium effect size (power = 0.8; f = 0.25, α = 0.05, λ = 8.0). Descriptive statistics, bivariate correlations, multivariate ANOVA, general linear regression, and hierarchical multiple regression were conducted to analyse the data. As above, PAI Borderline subscales were used to determine if an individual scored high (> 70T) or low (< 70T). The significant predictor variables were regressed onto RMET using hierarchical multiple regression.

Results

Correlations

Pearson’s product moment correlation coefficient was conducted to investigate the relationship between the BPD traits and social cognitive outcomes, as shown in Table 1. There was a significant relationship between the PAI Borderline total, with the personal distress subscale of the IRI, (r = 0.33, p < 0.001). Bor-A was significantly related to the RMET total score, (r = 0.17, p < 0.001), more specifically, the percentage correct on the RMET negative valence, (r = 0.28, p < 0.001). Bor-A also correlated negatively with IRI perspective taking (r = -0.16, p < 0.05) and IRI personal distress (r = 0.37, p < 0.001). Borderline Identity Problems (Bor-I) positively correlated with IRI personal distress (r = 0.28, p < 0.001). A further significant relationship was found between Bor-N and IRI personal distress (r = 0.25, p < 0.001). There were no significant correlations between Bor-S and social cognitive outcomes.

TABLE 1
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Table 1. Pearson’s correlation statistics for BPD trait and social cognition variables.

Analysis of variance

A one-way multivariate analysis of variance (MANOVA) was conducted to investigate performance in the RMET, grouped by high (> 70T; n = 53) or low (n = 98) reported scores. The dependent variables were percentage correct on RMET positive, negative, and neutral valence. Of each of the subscales, the MANOVA found significant differences between groups when stratified by Bor-A [Wilk’s Λ = 0.95, F(3,147) = 2.88, p < 0.001, η2P = 0.55] only. Subsequently, one-way ANOVAs for each valence subscale were conducted grouped by high/low Bor-A outcomes. Bonferroni correction was applied to control for multiple comparisons with an adjusted alpha level (α = 0.017). A significant difference between groups in the percentage correct on RMET negative valence was observed [F(1,149) = 6.31, p < 0.017, η2P = 0.04]. No significant differences were found between groups on the RMET positive valence [F(1,149) = 0.82, p = 0.368, η2P = 0.005], or neutral valence [F(1,149) = 0.033, p = 0.856, η2P = 0.001] after correcting for multiple comparisons. There was also a significant difference in the self-reported personal distress subscale of the interpersonal reactivity index, when stratified by high/low Bor-A [F(1,149) = 19.24, p < 0.0001], with means and standard deviations presented above in Table 2.

TABLE 2
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Table 2. Means (M) and Standard Deviations (SD) on outcome measures for the total group, and stratified by Bor-A outcomes.

Regression

To investigate this further, a series of general linear regressions were conducted to determine the variance in valence recognition. The Bor-A subscale significantly predicted variance in the RMET negative valence [F(1,149) = 12.3, p < 0.001, R2 = 0.08, R2adjusted = 0.07], but not positive or neutral. A hierarchical multiple regression was conducted to examine if scores on each PAI Borderline subscales (Bor-A, Bor-I, Bor-N, and Bor-S) further predict the percentage of correct answers on the RMET negative valence measure, while controlling for age and sex. The predictor variables of age and sex were entered into the first block and the PAI Borderline subscale scores were entered into the second block. The criterion variable was percentage of correct answers on the RMET negative valence measure.

Multicollinearity was not present in the data as observable in Table 1. The variance inflation factor scores were less than 10 (range = 1–1.73) and tolerance scores were greater than 0.1 (range = 0.58–1). The results of the hierarchical multiple regression, as shown in Table 3 below, show that the overall model was significant, accounting for 5.7% of variance in RMET negative valence percentage correct [F(6,144) = 2.50, p < 0.05, R2 = 0.09, adjusted R2 = 0.06]. Step one age and sex, did not contribute significantly to the model [F(2,148) = 0.17, p = 0.85, ΔR2 = 0.02, adjusted ΔR2 = 0.01]. Step two, Bor-I, Bor-N, Bor-S did not significantly contribute to the model [F(3,145) = 1.05, p = 0.37, ΔR2 = 0.02, adjusted ΔR2 = -0.01]. Step three, with the inclusion of Bor-A, significantly contributed to the model, explaining 9.4% of variance in RMET negative valence percentage correct [F(1,144) = 11.3, p < 0.001, ΔR2 = 0.07, adjusted ΔR2 = 0.05]. Bor-A was the only significant contributor to the variance explained (β = 0.34, p < 0.001).

TABLE 3
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Table 3. Summary of hierarchical regression model.

Discussion

This study investigated the relationship between BPD traits and social cognitive outcomes in a non-clinical community-based sample (n = 151). BPD traits were measured using the Borderline scale of the PAI, a clinically validated and reliable measure. Social cognitive abilities were evaluated using three measures, each assessing a different aspect of social cognition: the RMET (mentalising/facial emotion recognition), the IRI (empathy), and the FAB (emotion recognition). It was hypothesised, in line with previous literature, that higher BPD trait scores would significantly relate to social cognitive abilities. A further aim was to investigate what traits effect what social cognitive skills in addition to examining the predictive value of this relationship.

The above results indicate that a statistically significant relationship is present between elevated specific BPD traits (affect instability) and social cognitive outcomes (mentalising). These findings are highly consistent with previous research showing elevated BPD traits and improved aspects of social cognition (38, 44, 4648, 72). While not significantly different relative to typical controls, the current study findings pertaining to valence recognition support similar findings of Anupama et al. (73), who found facial emotion recognition ability was significantly lower for patients diagnosed with BPD for the eye region associated with positive and neutral valences. The results of the present study are congruous with those reported by Arntz et al. (74), and Fertuck et al. (38), which show improved performance on mentalising tasks for people with BPD. This enhanced ability, or tendency to over attribute extreme mental states to others may be referred to as over-mentalising or hyper-mentalising, as reported by Ortega-Díaz et al. (75) and Sharp et al. (36). Sharp and colleagues and Sharp and Vanwoerden (76); Sharp and Vanwoerden (77) suggest that borderline features do not associate with deficits in mentalising, but rather an altered style of mentalising in the form of hyper-mentalising. The current findings provide support for aspects of hyper-mentalising to be considered as a core feature of BPD.

Numerous studies have examined clinical cohorts with BPD utilising the IRI. Guttman and Laporte (22), found impairments in perspective taking in BPD patients when compared to patients with anorexia nervosa and non-clinical controls. Additionally, Dziobek et al. (50), reported BPD patients to have significantly reduced tendencies to feel empathy for others in distressing situations. While there was no significant difference on these subscales for our non-clinical sample, there was a significant negative association between high affect instability and the IRI perspective taking subscale, despite Bor-A being associated with better performance on mentalising. This self-other paradox may suggest that some people with high borderline traits have intact, or even enhanced ability to infer mental states and intentions of others, though may have an incongruent self-impression of their social cognitive abilities. This may relate to previous experience and learned behaviour following social interactions. These results could support development of interventions to address such a disparity between one’s self-impression of and actual abilities. Furthermore, BPD patients can display a bias toward the perception of anger in pictures of faces displaying blends of two basic emotions (26). As BPD and BPD traits are associated with higher levels of adverse experiences, it may also be possible that individuals with high BPD traits have higher exposure to negative valence in a social or environmental context, and as such can identify and recognise it more accurately than typical controls, or those with low BPD traits. This may relate to hypervigilance, whereby individuals with higher BPD traits may have a propensity to analyse the environment for threat in the form of hostile behaviour, i.e., negative valence. This would be an avenue for future research to explore in detail. Importantly, this study showed the need for more detailed social cognitive testing for people presenting to mental health services, as well as people with psychiatric presentations. This may tell us more about social cognition from a theory perspective, as well as inform interventions such as social or cognitive remediation which may be useful from a clinical perspective.

The results of this study are congruent with the literature on BPD that assigns a high degree of importance to affect instability. Previous research has suggested that affect instability is the core pathology in BPD (78). Results highlight that participants’ affect instability score accounted for 7% of variance in their percentage correct on negative valence. Furthermore, the overall model was found to predict 5.7% of variance, with the affect instability variable being the sole significant contributor.

Notable strengths of the current study are the broad age range and the gender balance of the sample which contribute to the generalisability of the results. Additionally, the use of a range of measures including the RMET valence subscales contribute to the relevance and novelty of the research. While this study has yielded numerous significant results, these findings are subject to certain limitations. Firstly, the self-report nature of this study must be considered; The use of self-report has limitations such as social desirability bias, misinterpretation of the questions, and the restrictive nature of some scales. A second limitation is the use of a non-clinical cohort to measure BPD traits, over and above clinical symptoms and cognitive outcomes in people with a clinical diagnosis.

Further assessments are required to contextualise the findings of this research and begin to offer more causative reasons for these findings, with larger samples, longitudinally. Firstly, investigating the relationship between BPD traits and predisposing factors may yield further information as to why there are elevated BPD traits, as well as offer a contextual explanation for the findings in this study. Researchers utilising the scales employed in this study should note the lack of significant results when analysing the total scores of the measures, i.e., RMET and IRI, and consider more specific subscales. Analysing the subscale totals provides a more detailed and comprehensive understanding of the relationship being studied and yields significant results where the overall total does not. This is pertinent when investigating a disorder such as BPD as symptomology and presentation can vary greatly between patients. Lastly, in relation to the psychometric measurement of cognitive domains, as noted above, there is ongoing debate within the literature as to whether the RMET is a measure of emotion recognition, theory of mind, or whether it combines features of both (3941). Based on the pattern of outcomes within this study, there is evidence to suggest that the RMET measures something additional, if not arguably entirely different, to emotion recognition alone. Future research could consider this convergence and divergence further through prospective item-level analyses of the RMET alongside measures of emotion recognition. Future studies may consider utilising additional or alternative measures of social cognition to bolster ecological validity as it has been proposed that the RMET is a measure of superficial mentalising (45). The MASC has been reported to be a more complex and ecologically valid measure which may better identify impairments in social cognition (34).

The data indicates there is a significant relationship between social cognitive function and BPD traits. Different traits were found to correlate higher than others with certain social cognitive skills. Specifically, this study suggested high affect instability predicts recognition of negative valence. Due to the cross-sectional survey-based nature of this study, a causal hypothesis between social cognitive performance and elevated borderline personality disorder traits cannot be examined, however, this may be an avenue for future research.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the School of Psychology, National University of Ireland Galway. The patients/participants provided their written informed consent to participate in this study.

Author contributions

MKG, GC, and TB analysed the data. All authors contributed to the development of the study, data collection, and manuscript development and review.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. American Psychiatric Association. DSM-5 Task Force. 5th ed. Washington, DC: American Psychiatric Publishing, Inc (2013). doi: 10.1176/appi.books.9780890425596

CrossRef Full Text | Google Scholar

2. Grant BF, Chou SP, Goldstein RB, Huang B, Stinson FS, Saha TD, et al. Prevalence, correlates, disability, and comorbidity of DSM-IV borderline personality disorder: results from the wave 2 national epidemiologic survey on alcohol and related conditions. J Clin Psychol. (2008) 69:533–45.

Google Scholar

3. Chanen AM, Jackson HJ, Mcgorry PD, Allot KA, Clarkson V, Yuen HP. Two-year stability of personality disorder in older adolescent outpatients. J Pers Disord. (2004) 18:526–41. doi: 10.1521/pedi.18.6.526.54798

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Ha C, Balderas JC, Zanarini MC, Oldham J, Sharp C. Psychiatric comorbidity in hospitalized adolescents with borderline personality disorder. J Clin Psychiatry. (2014) 75:e457–64.

Google Scholar

5. Cailhol L, Pelletier É, Rochette L, Laporte L, David P, Villeneuve É, et al. Prevalence, mortality, and health care use among patients with cluster B personality disorders clinically diagnosed in Quebec: a provincial cohort study, 2001–2012. Can J Psychiatry. (2017) 62:336–42. doi: 10.1177/0706743717700818

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Clemmensen LMØ, Jensen SOW, Zanarini MC, Skadhede S, Munk-Jørgensen P. Changes in treated incidence of borderline personality disorder in Denmark: 1970–2009. Can J Psychiatry. (2013) 58:522–8. doi: 10.1177/070674371305800907

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Links P, Steiner M, Offord D, Eppel A. Characteristics of borderline personality disorder: a Canadian study. Can J Psychiatry. (1988) 33:336–40.

Google Scholar

8. Sanislow CA, Morey LC, Grilo CM, Gunderson JG, Shea MT, Skodol AE, et al. Confirmatory factor analysis of DSM-IV borderline, schizotypal, avoidant and obsessive-compulsive personality disorders: findings from the collaborative longitudinal personality disorders study. Acta Psychiatr Scand. (2002) 105:28–36. doi: 10.1034/j.1600-0447.2002.0_479.x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Domes G, Schulze L, Herpertz SC. Emotion recognition in borderline personality disorder-a review of the literature. J Pers Disord. (2009) 23:6–19.

Google Scholar

10. Zanarini MC, Frankenburg FR, Hennen J, Reich DB, Silk KR. Psychosocial functioning of borderline patients and axis II comparison subjects followed prospectively for six years. J Pers Disord. (2005) 19:19–29. doi: 10.1521/pedi.19.1.19.62178

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Bender DS, Skodol AE. Borderline personality as a self-other representational disturbance. J Pers Disord. (2007) 21:500–17. doi: 10.1521/pedi.2007.21.5.500

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Fonagy P, Leigh T, Steele M, Steele H, Kennedy R, Mattoon G, et al. The relation of attachment status, psychiatric classification, and response to psychotherapy. J Consult Clin Psychol. (1996) 64:22–31. doi: 10.1037//0022-006x.64.1.22

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Adolphs R. Social cognition and the human brain. Trends Cogn Sci. (1999) 3:469–79.

Google Scholar

14. Alcalá-López D, Vogeley K, Binkofski F, Bzdok D. Building blocks of social cognition: mirror, mentalize, share? Cortex. (2019) 118:4–18. doi: 10.1016/j.cortex.2018.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Gallese V. The roots of empathy: the shared manifold hypothesis and the neural basis of intersubjectivity. Psychopathology. (2003) 36:171–80. doi: 10.1159/000072786

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kanske P. The social mind: disentangling affective and cognitive routes to understanding others. Interdiscip Sci Rev. (2018) 43:115–24. doi: 10.1080/03080188.2018.1453243

CrossRef Full Text | Google Scholar

17. Bateman A, Fonagy P. Mentalization based treatment for borderline personality disorder. World Psychiatry. (2010) 9:11–5.

Google Scholar

18. Bora E. A meta-analysis of theory of mind and ‘mentalization’ in borderline personality disorder: a true neuro-social-cognitive or meta-social-cognitive impairment? Psychol Med. (2021) 51:2541–51. doi: 10.1017/s0033291721003718

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Sabbagh MA, Moulson MC, Harkness KL. Neural correlates of mental state decoding in human adults: an event-related potential study. J Cogn Neurosci. (2004) 16:415–26. doi: 10.1162/089892904322926755

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Goueli T, Nasreldin M, Madbouly N, Dziobek I, Farouk M. Social cognition in adolescent females with borderline personality traits. Psychol Psychother. (2019) 93:739–53. doi: 10.1111/papt.12257

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Davis MH. A multidimensional approach to individual differences in empathy. JSAS Catalog Sel Doc Psychol. (1983) 10:85. doi: 10.3389/fpsyg.2021.588934

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Guttman HA, Laporte L. Empathy in families of women with borderline personality disorder, anorexia nervosa, and a control group. Fam Process. (2000) 39:345–58. doi: 10.1111/j.1545-5300.2000.39306.x

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Harari H, Shamay-Tsoory SG, Ravid M, Levkovitz Y. Double dissociation between cognitive and affective empathy in borderline personality disorder. Psychiatry Res. (2010) 175:277–9.

Google Scholar

24. New AS, Rot MA, Ripoll LH, Perez-Rodriguez MM, Lazarus S, Zipursky E, et al. Empathy and alexithymia in borderline personality disorder: clinical and laboratory measures. J Pers Disord. (2012) 26:660–75. doi: 10.1521/pedi.2012.26.5.660

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Lynch TR, Rosenthal MZ, Kosson DS, Cheavens JS, Lejuez CW, Blair RJ. Heightened sensitivity to facial expressions of emotion in borderline personality disorder. Emotion. (2006) 6:647–55.

Google Scholar

26. Domes G, Czieschnek D, Weidler F, Berger C, Fast K, Herpertz SC. Recognition of facial affect in borderline personality disorder. J Pers Disord. (2008) 22:135–47.

Google Scholar

27. Wagner AW, Linehan MM. Facial expression recognition ability among women with borderline personality disorder: implications for emotion regulation? J Pers Disord. (1999) 13:329–44. doi: 10.1521/pedi.1999.13.4.329

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Dyck M, Habel U, Slodczyk J, Schlummer J, Backes V, Schneider F, et al. Negative bias in fast emotion discrimination in borderline personality disorder. Psychol Med. (2009) 39:855–64. doi: 10.1017/S0033291708004273

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Minzenberg MJ, Poole JH, Vinogradov S. Social-emotion recognition in borderline personality disorder. Compr Psychiatry. (2006) 47:468–74.

Google Scholar

30. Ghiassi V, Dimaggio G, Brune M. Dysfunctions in understanding other minds in borderline personality disorder: a study using cartoon picture stories. Psychother Res. (2010) 20:657–77. doi: 10.1080/10503307.2010.501040

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Baron-Cohen S, Jolliffe T, Mortimore C, Robertson M. Another advanced test of theory of mind: evidence from very high functioning adults with autism or Asperger syndrome. J Child Psychol Psychiatry. (1997) 38:813–22.

Google Scholar

32. Brüne M. Emotion recognition, ‘theory of mind,’ and social behavior in schizophrenia. Psychiatry Res. (2005) 28:135–47.

Google Scholar

33. Dziobek I, Fleck S, Kalbe E, Rogers K, Hassenstab J, Brand M, et al. Introducing MASC: a movie for the assessment of social cognition. J Autism Dev Disord. (2006) 36:623–36. doi: 10.1007/s10803-006-0107-0

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Hassenstab J, Dziobek I, Rogers K, Wolf OT, Convit A. Knowing what others know, feeling what others feel: a controlled study of cognitive and affective empathy in psychotherapists. J Nerv Ment Dis. (2007) 195:277–81. doi: 10.1097/01.nmd.0000253794.74540.2d

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Preißler S, Dziobek I, Ritter K, Heekeren HR, Roepke S. Social cognition in borderline personality disorder: evidence for disturbed recognition of the emotions, thoughts, and intentions of others. Front Behav Neurosci. (2010) 4:182. doi: 10.3389/fnbeh.2010.00182

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Sharp C, Pane H, Ha C, Venta A, Patel AB, Sturek J, et al. Theory of mind and emotion regulation difficulties in adolescents with borderline traits. J Am Acad Child Adolesc Psychiatry. (2011) 50:563–73. doi: 10.1016/j.jaac.2011.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Frick C, Lang S, Kotchoubey B, Sieswerda S, Dinu-Biringer R, Berger M, et al. Hypersensitivity in borderline personality disorder during mindreading. PLoS One. (2012) 7:e41650. doi: 10.1371/journal.pone.0041650

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Fertuck EA, Jekal A, Song I, Wyman B, Morris MC, Wilson ST, et al. Enhanced ‘reading the mind in the eyes’ in borderline personality disorder compared to healthy controls. Psychol Med. (2009) 39:1979–88.

Google Scholar

39. Baron-Cohen S, Wheelwright S, Hill J, Raste Y, Plumb I. The “reading the mind in the eyes” test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. J Child Psychol Psychiatry Allied Discip. (2001) 42:241–51.

Google Scholar

40. Oakley BF, Brewer R, Bird G, Catmur C. Theory of mind is not theory of emotion: a cautionary note on the reading the mind in the eyes test. J Abnorm Psychol. (2016) 125:818.

Google Scholar

41. Oliver LD, Haltigan JD, Gold JM, Foussias G, DeRosse P, Buchanan RW, et al. Lower-and higher-level social cognitive factors across individuals with schizophrenia spectrum disorders and healthy controls: relationship with neurocognition and functional outcome. Schizophr Bull. (2019) 45:629–38. doi: 10.1093/schbul/sby114

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Ochsner KN. The social-emotional processing stream: five core constructs and their translational potential for schizophrenia and beyond. Biol Psychiatry. (2008) 64:48–61. doi: 10.1016/j.biopsych.2008.04.024

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Shamay-Tsoory SG. The neural bases for empathy. Neuroscientist. (2011) 17:18–24.

Google Scholar

44. Unoka Z, Fogd D, Seres I, Keri S, Csukly G. Early maladaptive schema–related impairment and co-occurring current major depressive episode–related enhancement of mental state decoding ability in borderline personality disorder. J Pers Disord. (2015) 29:145–62. doi: 10.1521/pedi_2014_28_146

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Petersen R, Brakoulias V, Langdon R. An experimental investigation of mentalization ability in borderline personality disorder. Compr Psychiatry. (2016) 64:12–21.

Google Scholar

46. Zabihzadeh A, Maleki G, Richman MJ, Hatami A, Alimardani Z, Heidari M. Affective and cognitive theory of mind in borderline personality disorder: the role of comorbid depression. Psychiatry Res. (2017) 257:144–9. doi: 10.1016/j.psychres.2017.07.034

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Savage M, Lenzenweger MF. The impact of social exclusion on “reading the mind in the eyes” performance in relation to borderline personality disorder features. J Pers Disord. (2018) 32:109–30. doi: 10.1521/pedi_2017_31_293

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Scott LN, Levy KN, Adams RB Jr, Stevenson MT. Mental state decoding abilities in young adults with borderline personality disorder traits. Pers Disord Theor Res Treat. (2011) 2:98. doi: 10.1037/a0020011

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Eisenberg N, Miller PA. The relation of empathy to prosocial and related behaviors. Psychol Bull. (1987) 101:91–119.

Google Scholar

50. Dziobek I, Preissler S, Grozdanovic Z, Heuser I, Heekeren HR, Roepke S. Neuronal correlates of altered empathy and social cognition in borderline personality disorder. Neuroimage. (2011) 15:539–48. doi: 10.1016/j.neuroimage.2011.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Dziobek I, Rogers K, Fleck S, Bahnemann M, Heekeren HR, Wolf OT, et al. Dissociation of cognitive and emotional empathy in adults with Asperger syndrome using the multifaceted empathy test (MET). J Autism Dev Disord. (2008) 38:464–73. doi: 10.1007/s10803-007-0486-x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. George D, Mallery P. SPSS for Windows Step by Step: A Simple Guide and Reference. 4th ed. Boston, MA: Allyn and Bacon (2003).

Google Scholar

53. Nunnaly JC. Psychometric Theory. New York, NY: McGraw-Hill (1978).

Google Scholar

54. Roepke S, Vater A, Preißler S, Heekeren HR, Dziobek I. Social cognition in borderline personality disorder. Front Neurosci. (2013) 6:195. doi: 10.3389/fnins.2012.00195

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Choi-Kain LW, Gunderson JG. Mentalization: ontogeny, assessment, and application in the treatment of borderline personality disorder. Am J Psychiatry. (2008) 165:1127–35.

Google Scholar

56. Burke T, Pinto-Grau M, Costello E, Peelo C, Lonergan K, Heverin M, et al. The reading the mind in the eyes test short form (A & B): validation and outcomes in an amyotrophic lateral sclerosis cohort. Amyotroph Lateral Scler Frontotemporal Degener. (2020) 21:380–8.

Google Scholar

57. Carey E, Gillan D, Burke T, Burns A, Murphy TM, Kelleher I, et al. Social cognition and self-reported ASD traits in young adults who have reported psychotic experiences: a population-based, longitudinal study. Schizophr Res. (2021) 237:54–61. doi: 10.1016/j.schres.2021.08.028

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Carroll GA, Montrose VT, Burke T. Correlates of social cognition and psychopathic traits in a community-based sample of males. Front. Psychol. (2021) 12:656299. doi: 10.3389/fpsyg.2021.656299

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Hudson CC, Shamblaw AL, Harkness KL, Sabbagh MA. Valence in the reading the mind in the eyes task. Psychol Assess. (2020) 32:623–34. doi: 10.1037/pas0000818

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Fernández-Abascal EG, Cabello R, Fernández-Berrocal P, Baron-Cohen S. Test-retest reliability of the ‘reading the mind in the eyes’ test: a one-year follow-up study. Mol Autism. (2013) 4:33. doi: 10.1186/2040-2392-4-33

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Israelashvili J, Sauter D, Fischer A. How well can we assess our ability to understand others’ feelings? Beliefs about taking others’ perspectives and actual understanding of others’ emotions. Front Psychol. (2019) 10:2475. doi: 10.3389/fpsyg.2019.02475

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Khorashad BS, Baron-Cohen S, Roshan GM, Kazemian M, Khazai L, Aghili Z, et al. The “reading the mind in the eyes” test: investigation of psychometric properties and test–retest reliability of the Persian version. J Autism Dev Disord. (2015) 45:2651–66. doi: 10.1007/s10803-015-2427-4

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Black JE. An IRT analysis of the reading the mind in the eyes test. J Pers Assess. (2019) 101:425–33.

Google Scholar

64. Bowers D, Blonder LX, Heilman KM. Florida Affect Battery. Orlando, FL: Center for Neuropsychological Studies (1998).

Google Scholar

65. Shelton R, Lovell EDN. Community college student-researcher discovers classmates’ increased empathy levels viewing TEDx talk video. Commun Coll J Res Pract. (2019) 43:237–41.

Google Scholar

66. Keaton SA. Interpersonal reactivity index (IRI). In: Worthington DL, Bodie GD editors. The Sourcebook of Listening Research (Methodology and Measures). Hoboken, NJ: John Wiley & Sons, Inc (2017). p. 340–7. doi: 10.1002/9781119102991.ch34

CrossRef Full Text | Google Scholar

67. Morey LC. Personality Assessment Inventory Professional Manual. Odessa, FL: Psychological Assessment Resources (1991).

Google Scholar

68. Morey LC, Boggs C. The Personality Assessment Inventory (PAI). New York, NY: Wiley and Sons (2004). p. 15–29.

Google Scholar

69. Boone D. Internal consistency reliability of the personality assessment inventory with psychiatric inpatients. J Clin Psychol. (1998) 54:839–43.

Google Scholar

70. Morey L. Personality assessment inventory (PAI). 1st ed. In: Cautin RL, Lilienfeld SO editors. The Encyclopaedia of Clinical Psychology. Hoboken, NJ: John Wiley & Sons (2015). p. 1–10. doi: 10.1002/9781118625392.wbecp284

CrossRef Full Text | Google Scholar

71. Busse M, Whiteside D, Waters D, Hellings J, Ji P. Exploring the reliability and component structure of the personality assessment inventory in a neuropsychological sample. Clin Neuropsychol. (2014) 28:237–51. doi: 10.1080/13854046.2013.876100

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Petersen R, Brakoulias V, Langdon R. An experimental investigation of mentalization ability in borderline personality disorder. Compr Psychiatry. (2016) 64:12–21. doi: 10.1016/j.comppsych.2015.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Anupama V, Bhola P, Thirthalli J, Mehta U. Pattern of social cognition deficits in individuals with borderline personality disorder. Asian J Psychiatry. (2018) 33:105–12. doi: 10.1016/j.ajp.2018.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Arntz A, Bernstein D, Oorschot M, Schobre P. Theory of mind in borderline and cluster-C personality disorder. J Nerv Ment Dis. (2009) 197:801–7. doi: 10.1097/NMD.0b013e3181be78fb

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Ortega-Díaz E, García-Campos J, Rico-Gomis JM, Cuesta-Moreno C, Palazón-Bru A, Estañ-Cerezo G, et al. Social cognition and social functioning in people with borderline personality disorder and their first-degree relatives. PeerJ. (2020) 8:e10212. doi: 10.7717/peerj.10212

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Sharp C, Pane H, Ha C, Venta A, Patel AB, Fonagy P. Theory of mind and emotion regulation difficulties in adolescents with borderline traits. J Am Acad Child Adolesc Psychiatry. (2011) 50:563–73. doi: 10.1016/j.jaac.2011.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Sharp C, Vanwoerden S. Hypermentalizing in borderline personality disorder: a model and data. J Infant Child Adolesc Psychother. (2015) 14:33–45. doi: 10.1080/15289168.2015.1004890

CrossRef Full Text | Google Scholar

78. Nica EI, Links PS. Affective instability in borderline personality disorder: experience sampling findings. Curr Psychiatry Rep. (2009) 11:74–81. doi: 10.1007/s11920-009-0012-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: borderline personality disorder traits, social cognition, mentalising, emotion recognition, empathy

Citation: Kelly Grealy M, Godfrey E, Brady F, Whyte O’Sullivan E, Carroll GA and Burke T (2022) Borderline personality disorder traits and mentalising ability: The self-other social cognition paradox. Front. Psychiatry 13:1023348. doi: 10.3389/fpsyt.2022.1023348

Received: 19 August 2022; Accepted: 06 October 2022;
Published: 20 October 2022.

Edited by:

Espen Jan Folmo, Oslo University Hospital, Norway

Reviewed by:

Salome Vanwoerden, University of Pittsburgh Medical Center, United States
Sune Bo, Psychiatry Region Zealand, Denmark

Copyright © 2022 Kelly Grealy, Godfrey, Brady, Whyte O’Sullivan, Carroll and Burke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Tom Burke, tom.burke@nuigalway.ie

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.