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BRIEF RESEARCH REPORT article

Front. Psychiatry, 18 June 2019
Sec. Addictive Disorders
This article is part of the Research Topic Brain and Cognition for Addiction Medicine: From Prevention to Recovery View all 32 articles

Dysfunctional Personality Beliefs Linked to Emotion Recognition Deficits in Individuals With Cocaine Addiction and Personality Disorders

  • 1Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
  • 2Centro Provincial de Drogodependencias, Diputación de Granada, Granada, Spain
  • 3Departamento de Psicología Clínica, Experimental y Social, Universidad de Huelva, Huelva, Spain
  • 4Research Center on Natural Resources, Health and Environment, University of Huelva, Huelva, Spain
  • 5Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia

Background: Facial emotion recognition is impaired in addiction and personality disorders. Dysfunctional personality beliefs reflect negative interpersonal schemas that may underpin emotion recognition deficits. We aimed to examine the association between personality beliefs and emotion recognition among participants with cocaine use disorder including those with comorbid personality disorders.

Methods: We recruited 70 participants with cocaine use disorder aged between 19 and 52 who had used 14 g of cocaine over 4.8 years on average. Thirty-eight participants had an additional personality disorder (11 Borderline, 7 Histrionic, 5 Antisocial, 10 Avoidant, and 5 Obsessive–Compulsive). Dysfunctional beliefs were indicated with the Personality Belief Questionnaire, and facial emotion recognition was indicated with the Ekman’s Test. We applied correlations/multiple regressions to test the relationship between beliefs and emotion recognition.

Results: Personality beliefs reflecting paranoid, borderline, and antisocial schemas were negatively associated with emotion recognition. Antisocial beliefs were associated with poorer recognition of fear, and paranoid beliefs with poorer recognition of disgust. Antisocial beliefs were significantly associated with emotion recognition after adjusting for cocaine use.

Conclusion: Dysfunctional personality beliefs are associated with poorer emotion recognition in cocaine addiction. Personality-related negative schemas about the self and others can impact social cognition and interaction during cocaine treatment.

Introduction

Facial emotion recognition reflects the ability to identify basic emotions in others and is essential for adaptive social interaction (1, 2). Deficits in facial emotion recognition are a hallmark of substance use disorders (SUD) (3). However, although SUD often co-occur with personality disorders (4), little is known on the relationship between comorbid personality dysfunction and facial emotion recognition. This is important because personality disorders are characterized by difficulties with social interaction and disturbed representations of others (57). Individuals with personality disorders have lower facial emotion recognition accuracy than healthy controls (810). However, we do not know if the comorbidity between SUD and personality disorders is associated with additive or specific impacts on facial emotion recognition. Unraveling the link between personality dysfunction and facial emotion recognition can contribute to understand social interaction problems and persistence of SUD among individuals with comorbid personality disorders.

In the context of SUD without comorbidities, previous studies have found that individuals with cocaine-SUD have poorer recognition of specific emotions such as anger and fear (11). In the only study comparing individuals with cocaine-SUD with and without personality disorders, Morgan and Marshall (12) found no significant effects of comorbidity on fear recognition. Using psychophysiological measures of fear and arousal reactivity, Baschnagel et al. (13) also failed to find a significant effect of the comorbidity on psychophysiological measures of emotion processing. However, these studies have adopted a categorical approach, by comparing comorbid versus non-comorbid participants (13) or covarying the effect of the comorbid personality diagnosis (12). However, current evidence supports the view that dimensional measures of personality dysfunction are better suited than categorical approaches to gain insight on emotion recognition deficits (14). Dimensional measures of antisociality and anxiety are negatively associated with emotion recognition accuracy, and specifically with poorer recognition of anger and fear among healthy individuals (15).

Personality beliefs are key dimensional features of personality disorders that have been neglected in previous studies of emotion recognition (16, 17). Dysfunctional beliefs reflect deep-rooted negative schemas that can consistently bias cognitive and affective judgments about oneself and others (17). Since these negative schemas are linked to specific personality disorders, the degree of disturbance can be estimated by measuring endorsement of specific sets of beliefs (e.g., antisocial—“I should do whatever I can get away with”; obsessive–compulsive—”Any flaw or defect may lead to a catastrophe”) (18). The Personality Belief Questionnaire (PBQ) was originally designed to measure these personality beliefs and has received recent attention and excellent kudos as a dimensional measure of personality dysfunction that is well aligned with contemporary views, as well as reliable and predictive of severity of personality dysfunction (17, 19). Previous studies have shown that individuals with cocaine-SUD have elevated PBQ scores compared to healthy controls (20, 21). Moreover, those with cocaine-SUD and personality disorders exhibit higher scores than controls in antisocial, borderline, histrionic, and narcissistic scales (20). PBQ scores are also elevated among people with other psychiatric disorders (i.e., depression and eating disorders) who have comorbid personality disorders compared to those with single diagnoses (17, 19).

In this study, we aimed to examine the relationship between dimensional estimates of dysfunctional personality beliefs, measured with the PBQ, and emotion recognition, indicated by the gold-standard Ekman facial emotion recognition test, among people with cocaine-SUD including those with comorbid personality disorders. In fitting with previous evidence on dimensional personality correlates of emotion recognition, we hypothesized that dysfunctional beliefs associated with antisocial and anxious-like personality disorders would be linked to lower emotion recognition accuracy and specifically poorer recognition of fear and anger.

Methods

Participants

The sample comprised 70 participants (11 females) with cocaine use disorder, of whom 38 (54%; consistent with previously reported comorbidity rates) (22) had comorbid personality disorders (11 Borderline, 7 Histrionic, 5 Antisocial, 10 Avoidant, and 5 Obsessive–Compulsive). Participants with and without comorbid personality disorders did not significantly differ on sociodemographic characteristics or cocaine use patterns (Table 1). All participants were recruited from a city-wide public outpatient addiction treatment center in Granada (Spain). Treatment consisted of cognitive behavioral therapy and psychosocial support. The inclusion criteria were as follows: i) meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) (23) criteria for cocaine dependence indicated with the Structured Clinical Interview for DSM-IV Disorders–Clinical Version (SCID-CV) (24), ii) being abstinent for at least 2 weeks indicated by self-report and regular urine analyses, and iii) IQ levels ≥80 (to ensure facial emotion recognition was not impacted by general cognitive dysfunction) indicated with the Kaufman Brief Intelligence Test (25). Personality disorders included in the DSM-IV-TR were diagnosed by an accredited clinical psychologist (JM-G) using the International Personality Disorders Examination (26). Participants received personality disorders diagnosis at the same time as cocaine dependence diagnosis. The exclusion criteria were as follows: i) other Axis I comorbid disorders, with the exceptions of alcohol abuse and nicotine dependence, indicated with the SCID-CV; ii) history of head injury and/or neurological, infectious, systemic, or any other diseases affecting the central nervous system, indicated by self-report and clinical records.

TABLE 1
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Table 1 Sociodemographic characteristics, drug use patterns, and personality beliefs and emotion recognition scores in participants with and without personality disorders.

Measures

Interview for Research on Addictive Behavior (27): This semi-structured interview collects information about substance use patterns (i.e., dosage, frequency, and duration) and yields two main measures: monthly use of each substance (quantity per month) and total duration of use of each substance (duration in months).

Personality Belief Questionnaire (PBQ) (18): The PBQ was administered to dimensionally measure dysfunctional beliefs or negative schemas associated with personality disorders. It is a 126-item self-report questionnaire that measures the degree of endorsement of dysfunctional beliefs associated with personality disorders, i.e., paranoid, schizoid, antisocial, borderline, histrionic, narcissistic, avoidant, dependent, and obsessive–compulsive beliefs. The Spanish version of the scale that we used in this study has demonstrated sound psychometric characteristics (28).

Ekman Faces Test (EFT): This is a computer task that assesses recognition of facial emotional expressions. The task uses stimuli from the Facial Expressions of Emotion: Stimuli and Tests (FEEST) (29). We presented 60 faces depicting expressions of anger, disgust, fear, happiness, sadness, and surprise (6 emotions, 10 faces each). Each face was presented on a computer monitor for a maximum of 5 s, after which individuals were asked to select the emotion that best described it. The performance measure was the sum score of total correct identifications (total recognition: range, 0–60).

Procedures

The Human Research Ethics Committee of the University of Granada approved the study. All participants provided written informed consent. Participants underwent two assessment sessions: one to diagnose substance use and personality disorders, and a second one to complete personality beliefs and emotion recognition measures, along with other cognitive measures that have been published elsewhere.

Analyses

First, we contrasted emotion recognition scores between participants with and without personality disorders using t-tests. Next, we examined the relationship between personality beliefs and total emotion recognition scores using Spearman correlation coefficients. When there was a significant association between specific dysfunctional beliefs and total emotion recognition, we run additional correlations between such beliefs and discrete emotions recognition scores (e.g., anger and fear). Finally, we tested if the relationship between dysfunctional beliefs and total emotion recognition scores stood after adjusting for sociodemographic characteristics and lifetime substance use using multiple regression. Results from group contrasts and correlational analyses, involving multiple tests, were considered significant if p values were below 0.005 to protect against Type I error. Results from targeted regression analyses were considered significant at the standard p < 0.05 value. Data is available at https://monash.figshare.com/s/f35e993c96fbb2899ecb.

Results

Emotion Recognition in Participants With Versus Without Personality Disorders

We found no significant differences between participants with and without personality disorders in total emotion recognition scores (Table 1). As expected, participants with personality disorders had generally higher PBQ scores (reflecting greater endorsement of dysfunctional personality beliefs), but the group differences were only significant for borderline beliefs (Table 1).

Relationship Between Emotion Recognition and Dysfunctional Personality Beliefs

We found significant negative associations between the total emotion recognition score and antisocial, borderline, and paranoid beliefs (Table 2). Subsequent analyses showed that antisocial beliefs were negatively associated with recognition of fear, r = −0.376, p = 0.001, whereas paranoid beliefs were negatively associated with recognition of disgust, r = −0.372, p = 0.002 (Supplementary Table S1).

TABLE 2
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Table 2 Correlations between dysfunctional personality beliefs and emotion recognition.

Regression Analyses Adjusted by Sociodemographic and Drug Use Characteristics

After adjusting for age, education, and lifetime drug use, antisocial beliefs were significantly associated with total emotion recognition scores (Ffull model = 3.647, Adj R2full model = 0.214, pfull model = 0.002, Betaantisocial = −0.342, pantisocial = 0.019) (Table 3). No other individual predictors were significantly associated with emotion recognition.

TABLE 3
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Table 3 Multiple regression model entering sociodemographic characteristics, drug use patterns, and dysfunctional beliefs as predictors of emotion recognition.

Discussion

Our findings show that, although participants with and without personality disorders did not differ in emotion recognition, the degree of endorsement of dysfunctional personality beliefs was negatively associated with facial emotion recognition accuracy. These results suggest that individuals with more negative schemas associated with personality dysfunction can have greater problems to identify and interpret emotions in others, and ultimately more social interaction problems.

The link between dysfunctional personality beliefs and poorer emotion recognition provides support to the notion that maladaptive personality schemas are associated with social interaction deficits in people with SUD (30, 31). This relationship is acknowledged in modern definitions of personality disorders and stimulant addiction, which refer to disturbances in interpersonal functioning (32, 33). The directionality of the association is unclear. It is possible that emotion recognition deficits predate personality dysfunction and thus contributes to the formation of dysfunctional beliefs via early negative social interaction experiences (34). It is also plausible that dysfunctional beliefs cause stable biases in affective judgment that ultimately impact emotion recognition (e.g., “Others will try to use me or manipulate me if I don’t watch out”) (16). Since participants were in the “craving phase” of their SUD (35), it is also possible that state-related symptoms such as anhedonia modulate the link between personality and emotion recognition (36). Furthermore, the link between emotion recognition and dysfunctional personality beliefs, which are dimensional measures of personality dysfunction, supports the view that dimensional (versus categorical) indices of personality dysfunction can be more tightly aligned with social cognition and interaction phenotypes (37). Although emotion recognition is a well-recognized index of social cognition skills (1, 2), our findings can also stimulate further research on other aspects of social cognition and interaction in the context of addiction and personality disorders.

The link between specific personality beliefs and difficulties to recognize emotions in others has also important clinical value. In fact, we found specific associations between antisocial beliefs and poorer recognition of fear, which is consistent with previous findings among individuals with antisocial personality disorder (38) and align with the “low fear” theory of antisocial personality and psychopathy (39). Since fear recognition is essential to avoid risk (e.g., by recognizing others’ appraisal about potentially risky situations such as those conducive to relapse) and harm to others (e.g., by recognizing their fear in response to one’s actions), individuals with greater endorsement of antisocial beliefs and poorer emotion recognition might be at particularly high risk of poor clinical outcomes (40). We also found negative associations between paranoid beliefs and poorer recognition of disgust, but this relationship did not survive adjustment for sociodemographic and clinical characteristics. Therefore, these relationships might be conflated with other indicators of severity (e.g., higher levels of drug use) and should be reassessed in future studies. Establishing these links is important, since little is known about the social cognition correlates of personality dysfunctions associated with paranoid schemas compared to antisocial or borderline schemas (38).

Our findings need to be appraised in the context of relevant limitations. First, results are cross-sectional and correlational, meaning that we cannot draw causal conclusions. Second, we focused on two very specific indices of personality dysfunction (beliefs) and social cognition (emotion recognition), and hence, more comprehensive assessments are needed to confirm if the relationship between these constructs stands in the context of other indices of personality dysfunction (e.g., dimensional diagnostic tools) and social cognition (e.g., empathy). Third, according to the cognitive theory of personality disorders (41), participants with personality disorders should have generally elevated dysfunctional beliefs; the fact that we only found differences in borderline beliefs may be due to the small number of cases. Fourth, although we interpret findings mostly in the context of personality dysfunction, other etiological and clinical aspects of cocaine addiction (e.g., genetic vulnerability and cocaine dosage) may also contribute to emotion recognition deficits.

Ethics Statement

The Human Research Ethics Committee of the University of Granada (Spain) approved this study.

Author Contributions

AV-G, JM-G and OL-R designed the study. NA-U and JM-G conducted assessments. OL-R and AV-G conducted statistical analyses. NA-U and AV-G wrote a first draft of the manuscript, which was reviewed by all authors.

Funding

This study was funded by project grant COPERNICO (2009/052) from the Spanish Ministry of Health. Funding for open access is provided by internal funds of Monash University and Deakin University.

Conflict of Interest Statement

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.

The handling editor is currently co-organizing a Research Topic with one of the authors AV, and confirms the absence of any other collaboration.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2019.00431/full#supplementary-material

References

1. Adolphs R, Tranel D, Damasio H, Damasio A. Impaired recognition of emotion in facial expressions following bilateral damage to the human amygdala. Nature (1994) 372:669–72. doi: 10.1038/372669a0

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Corden B, Critchley HD, Skuse D, Dolan RJ. Fear recognition ability predicts differences in social cognitive and neural functioning in men. J Cogn Neurosci (2006) 18:889–97. doi: 10.1162/jocn.2006.18.6.889

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Castellano F, Bartoli F, Crocamo C, Gamba G, Tremolada M, Santambrogio J, et al. Facial emotion recognition in alcohol and substance use disorders: a meta-analysis. Neurosci Biobehav Rev (2015) 59:147–54. doi: 10.1016/j.neubiorev.2015.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vergara-Moragues E, Gonzalez-Saiz F, Lozano OM, Verdejo Garcia A. Psychopathological stability of personality disorders in substance abuse patients treated in a therapeutic community. J Addict Dis (2013) 32(4):343–53. doi: 10.1080/10550887.2013.854154

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Arntz A, Veen G. Evaluations of others by borderline patients. J Nerv Ment Dis (2001) 189(8):513–21. doi: 10.1097/00005053-200108000-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Arntz A, Weertman A, Salet S. Interpretation bias in Cluster-C and borderline personality disorders. Behav Res Ther (2011) 49(8):472–81. doi: 10.1016/j.brat.2011.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Schotte CK, de Doncker D, Vankerckhoven C, Vertommen H, Cosyns P. Self-report assessment of the DSM-IV personality disorders. Psychol Med (1998) 28(5):1179–88. doi: 10.1017/S0033291798007041

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Daros AR, Zakzanis KK, Ruocco AC. Facial emotion recognition in borderline personality disorder. Psychol Med (2013) 43(9):1953–63. doi: 10.1017/S0033291712002607

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Dawel A, O’Kearney R, McKone E, Palermo R. Not just fear and sadness: meta-analytic evidence of pervasive emotion recognition deficits for facial and vocal expressions in psychopathy. Neurosci Biobehav Rev (2012) 36(10):2288–304. doi: 10.1016/j.neubiorev.2012.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Marsh AA, Blair RJ. Deficits in facial affect recognition among antisocial populations: a meta-analysis. Neurosci Biobehav Rev (2008) 32(3):454–65. doi: 10.1016/j.neubiorev.2007.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Fernandez-Serrano MJ, Lozano O, Perez-Garcia M, Verdejo-Garcia A. Impact of severity of drug use on discrete emotions recognition in polysubstance abusers. Drug Alcohol Depend (2010) 109(1–3):57–64. doi: 10.1016/j.drugalcdep.2009.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Morgan MJ, Marshall JP. Deficient fear recognition in regular cocaine users is not attributable to elevated impulsivity or conduct disorder prior to cocaine use. J Psychopharmacol (2013) 27(6):526–32. doi: 10.1177/0269881113477708

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Baschnagel JS, Coffey SF, Hawk LW Jr., Schumacher JA, Holloman G. Psychophysiological assessment of emotional processing in patients with borderline personality disorder with and without comorbid substance use. Personal Disord (2013) 4(3):203–13. doi: 10.1037/a0029777

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Murphy FC, Ewbank MP, Calder AJ. Emotion and personality factors influence the neural response to emotional stimuli. Behav Brain Sci (2012) 35(3):156–7. doi: 10.1017/S0140525X11001725

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Calder AJ, Ewbank M, Passamonti L. Personality influences the neural responses to viewing facial expressions of emotion. Philos trans R Soc Lond B Biol Sci (2011) 366(1571):1684–701. doi: 10.1098/rstb.2010.0362

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Beck AT, Butler AC, Brown GK, Dahlsgaard KK, Newman CF, Beck JS. Dysfunctional beliefs discriminate personality disorders. Behav Res Ther (2001) 39(10):1213–25. doi: 10.1016/S0005-7967(00)00099-1

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Fournier JC, Derubeis RJ, Beck AT. Dysfunctional cognitions in personality pathology: the structure and validity of the personality belief questionnaire. Psychol Med (2012) 42(4):795–805. doi: 10.1017/S0033291711001711

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Beck AT, Beck JS. The Personality Belief Questionnaire. Bala Cynwyd, PA: The Beck Institute for Cognitive Therapy and Research (1991).

Google Scholar

19. Bhar SS, Beck AT, Butler AC. Beliefs and personality disorders: an overview of the personality beliefs questionnaire. J Clin Psychol (2012) 68(1):88–100. doi: 10.1002/jclp.20856

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Albein-Urios N, Martinez-González JM, Lozano O, Verdejo-Garcia A. Monetary delay discounting in gambling and cocaine dependence with personality comorbidities. Addict Behav (2014) 39(11):1658–62. doi: 10.1016/j.addbeh.2014.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Albein-Urios N, Martinez-Gonzalez JM, Lozano Ó, Moreno-López L, Soriano-Mas C, Verdejo-Garcia A. Negative urgency, disinhibition and reduced temporal pole gray matter characterize the comorbidity of cocaine dependence and personality disorders. Drug Alcohol Depend (2013) 132(1–2):231–7. doi: 10.1016/j.drugalcdep.2013.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Arias F, Szerman N, Vega P, Mesias B, Basurte I, Morant C, et al. Cocaine abuse or dependency and other pyschiatric disorders. Rev Psiquiatr Salud Ment (2013) 6(3):121–8. doi: 10.1016/j.rpsm.2012.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

23. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed., text rev. Washington, DC: Author (2000).

Google Scholar

24. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV Axis I disorders (SCID I). New York: Biometric Research Department (1997).

Google Scholar

25. Kaufman AS, Kaufman NL. Kaufman Brief Intelligence Test 1. Circle Pines, MN: American Guidance Service (1990).

Google Scholar

26. Loranger AW, Sartorius N, Andreoli A, Berger P, Buchheim P, Jacobsberg LB, et al. The international personality disorder examination. Arch Gen Psychiatry (1994) 51:215–24. doi: 10.1001/archpsyc.1994.03950030051005

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Verdejo-Garcia AJ, Lopez-Torrecillas F, Aguilar de Arcos F, Perez-Garcia M. Differential effects of MDMA, cocaine, and cannabis use severity on distinctive components of the executive functions in polysubstance users: a multiple regression analysis. Addict Behav (2005) 30(1):89–101. doi: 10.1016/j.addbeh.2004.04.015

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Albein-Urios N, Martínez-González JM, Lozano-Rojas OM, Verdejo-García A. Estudio preliminar para la validación de la versión española del Personality Belief Questionnaire (PBQ). Trastornos Adictivos (2011) 13:144–50. doi: 10.1016/S1575-0973(11)70030-7

CrossRef Full Text | Google Scholar

29. Young AW, Perrett D, Calder AJ, Sprengelmeyer R, Ekman P. Facial emotional expressions: stimuli and tests (FEEST). Bury St. Edmunds: Thames Valley Test Company (2002).

Google Scholar

30. Quednow BB, Hulka LM, Preller KH, Baumgartner MR, Eisenegger C, Vonmoos M. Stable self-serving personality traits in recreational and dependent cocaine users. PloS One (2017) 12(3):e0172853. doi: 10.1371/journal.pone.0172853

CrossRef Full Text | Google Scholar

31. Verdejo-Garcia A, Verdejo-Roman J, Albein-Urios N, Martinez-Gonzalez JM, Soriano-Mas C. Brain substrates of social decision-making in dual diagnosis: cocaine dependence and personality disorders. Addict Biol (2017) 22(2):457–67. doi: 10.1111/adb.12318

PubMed Abstract | CrossRef Full Text | Google Scholar

32. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-5®). Arlington, VA: American Psychiatric Pub (2013). doi: 10.1176/appi.books.9780890425596

CrossRef Full Text | Google Scholar

33. Quednow BB. Social cognition and interaction in stimulant use disorders. Curr Opin Behav Sci (2017) 13:55–62. doi: 10.1016/j.cobeha.2016.10.001

CrossRef Full Text | Google Scholar

34. Hasenfratz L, Benish-Weisman M, Steinberg T, Knafo-Noam A. Temperament and peer problems from early to middle childhood: gene-environment correlations with negative emotionality and sociability. Dev Psychopathol (2015) 27(4 Pt 1):1089–109. doi: 10.1017/S095457941500070X

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Koob GF, Volkow ND. Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry (2016) (8), 760–73. doi: 10.1016/S2215-0366(16)00104-8

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Hatzigiakoumis DS, Martinotti G, Giannantonio MD, Janiri L. Anhedonia and substance dependence: clinical correlates and treatment options. Front Psychiatry (2011) 17(2):10. doi: 10.3389/fpsyt.2011.00010

CrossRef Full Text | Google Scholar

37. DeFife JA, Goldberg M, Westen D. Dimensional assessment of self- and interpersonal functioning in adolescents: implications for DSM-5’s general definition of personality disorder. J Pers Disord (2015) 29(2):248–60. doi: 10.1521/pedi_2013_27_085

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Herpertz SC, Bertsch K. The social-cognitive basis of personality disorders. Curr Opin Psychiatry (2014) 27(1):73–7. doi: 10.1097/YCO.0000000000000026

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Patrick CJ, Cuthbert BN, Lang PJ. Emotion in the criminal psychopath: fear image processing. J Abnorm Psychol (1994) 103(3):523–34. doi: 10.1037//0021-843X.103.3.523

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Moeller SJ, Goldstein RZ. Impaired self-awareness in human addiction: deficient attribution of personal relevance. Trends Cogn Sci (2014) 18(12):635–41. doi: 10.1016/j.tics.2014.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Beck AT, Freeman A, Davis DD, Pretzer J, Fleming B, Beck JS. Cognitive therapy of personality disorders. 2nd ed. New York: Guilford Press (2004).

Google Scholar

Keywords: emotion recognition, personality disorders, cocaine use disorder, personality beliefs, antisocial beliefs

Citation: Albein-Urios N, Martinez-Gonzalez JM, Lozano-Rojas O and Verdejo-Garcia A (2019) Dysfunctional Personality Beliefs Linked to Emotion Recognition Deficits in Individuals With Cocaine Addiction and Personality Disorders. Front. Psychiatry 10:431. doi: 10.3389/fpsyt.2019.00431

Received: 13 January 2019; Accepted: 31 May 2019;
Published: 18 June 2019.

Edited by:

Hamed Ekhtiari, Laureate Institute for Brain Research, United States

Reviewed by:

Chiara Montemitro, University of “G. d’Annunzio” Chieti - Pescara, Italy
Mercedes Lovrecic, National Institute for Public Health, Slovenia
Tara Rezapour, Tehran University, Iran

Copyright © 2019 Albein-Urios, Martinez-Gonzalez, Lozano-Rojas and Verdejo-Garcia. 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: Antonio Verdejo-Garcia, antonio.verdejo@monash.edu

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