William D. Hopkins, Michele Mulholland, Robert D. Latzman
{"title":"Characterizing the personality and gray matter volume of chimpanzees that exhibit autism-related socio-communicative phenotypes","authors":"William D. Hopkins, Michele Mulholland, Robert D. Latzman","doi":"10.1017/pen.2023.8","DOIUrl":"https://doi.org/10.1017/pen.2023.8","url":null,"abstract":"Abstract Autism spectrum disorder (ASD) is a developmental disorder characterized by stereotypies or repetitive behaviors and impairments in social behavior and socio-communicative skills. One hallmark phenotype of ASD is poor joint attention skills compared to neurotypical controls. In addition, individuals with ASD have lower scores on several of the Big 5 personality dimensions, including Extraversion. Here, we examine these traits in a nonhuman primate model (chimpanzees; Pan troglodytes ) to further understand the relationship between personality and joint attention skills, as well as the genetic and neural systems that contribute to these phenotypes. We used archival data including receptive joint attention (RJA) performance, personality based on caretaker ratings, and magnetic resonance images from 189 chimpanzees. We found that, like humans, chimpanzees who performed worse on the RJA task had lower Extraversion scores. We also found that joint attention skills and several personality dimensions, including Extraversion, were significantly heritable. There was also a borderline significant genetic correlation between RJA and Extraversion. A conjunction analysis examining gray matter volume showed that there were five main brain regions associated with both higher levels of Extraversion and social cognition. These regions included the right posterior middle and superior temporal gyrus, bilateral inferior frontal gyrus, left inferior frontal sulcus, and left superior frontal sulcus, all regions within the social brain network. Altogether, these findings provide further evidence that chimpanzees serve as an excellent model for understanding the mechanisms underlying social impairment related to ASD. Future research should further examine the relationship between social cognition, personality, genetics, and neuroanatomy and function in nonhuman primate models.","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Markus Mück, André Mattes, Elisa Porth, Jutta Stahl
{"title":"Narcissism and the perception of failure - evidence from the error-related negativity and the error positivity.","authors":"Markus Mück, André Mattes, Elisa Porth, Jutta Stahl","doi":"10.1017/pen.2022.7","DOIUrl":"https://doi.org/10.1017/pen.2022.7","url":null,"abstract":"<p><p>The literature on narcissism suggests two contradictory ways how highly narcissistic individuals deal with their failures: They might avoid consciously recognising their failures to protect their ego or they might vigilantly turn towards their failures to process cues that are important for maintaining their grandiosity. We tried to dissolve these contradictory positions by studying event-related potential components of error processing and their variations with narcissism. With a speeded go/no-go task, we examined how the error-related negativity (Ne; reflecting an early, automatic processing stage) and the error positivity (Pe; associated with conscious error detection) vary with Admiration and Rivalry, two narcissism dimensions, under ego-threatening conditions. Using multilevel models, we showed that participants with high Rivalry displayed higher Ne amplitudes suggesting a heightened trait of defensive reactivity. We did not find variations of either narcissism dimension with the Pe, which would have pointed to weaker error awareness. Thus, our results only supported the second position: a heightened vigilance to errors in narcissism at early, rather automatic processing stages.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"6 ","pages":"e2"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947629/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10798358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2022-09-20eCollection Date: 2022-01-01DOI: 10.1017/pen.2022.4
Yury V Lages, Neil McNaughton
{"title":"Non-human contributions to personality neuroscience - from fish through primates. An introduction to the special issue.","authors":"Yury V Lages, Neil McNaughton","doi":"10.1017/pen.2022.4","DOIUrl":"https://doi.org/10.1017/pen.2022.4","url":null,"abstract":"<p><p>The most fundamental emotional systems that show trait control are evolutionarily old and extensively conserved. Psychology in general has benefited from non-human neuroscience and from the analytical simplicity of behaviour in those with simpler nervous systems. It has been argued that integration between personality, psychopathology, and neuroscience is particularly promising if we are to understand the neurobiology of human experience. Here, we provide some general arguments for a non-human approach being at least as productive in relation to personality, psychopathology, and their interface. Some early personality theories were directly linked to psychopathology (e.g., Eysenck, Panksepp, and Cloninger). They shared a common interest in brain systems that naturally led to the use of non-human data; behavioural, neural, and pharmacological. In Eysenck's case, this also led to the selective breeding, at the Maudsley Institute, of emotionally reactive and non-reactive strains of rat as models of trait neuroticism or trait emotionality. Dimensional personality research and categorical approaches to clinical disorder then drifted apart from each other, from neuropsychology, and from non-human data. Recently, the conceptualizations of both healthy personality and psychopathology have moved towards a common hierarchical trait perspective. Indeed, the proposed two sets of trait dimensions appear similar and may even be eventually the same. We provide, here, an introduction to this special issue of <i>Personality Neuroscience</i>, where the authors provide overviews of detailed areas where non-human data inform human personality and its psychopathology or provide explicit models for translation to human neuroscience. Once all the papers in the issue have appeared, we will also provide a concluding summary of them.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"5 ","pages":"e11"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549393/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40340584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2022-09-20eCollection Date: 2022-01-01DOI: 10.1017/pen.2022.2
Christian Montag, Mark Solms, Christine Stelzel, Kenneth L Davis
{"title":"The future of the Affective Neuroscience Personality Scales: A reflection on seven pressing matters.","authors":"Christian Montag, Mark Solms, Christine Stelzel, Kenneth L Davis","doi":"10.1017/pen.2022.2","DOIUrl":"10.1017/pen.2022.2","url":null,"abstract":"<p><p>The Affective Neuroscience Personality Scales (ANPS) were designed to provide researchers in the mental sciences with an inventory to assess primary emotional systems according to Pankseppian Affective Neuroscience Theory (ANT). The original ANPS, providing researchers with such a tool, was published in 2003. In the present brief communication, about 20 years later, we reflect upon some pressing matters regarding the further development of the ANPS. We touch upon problems related to disentangling traits and states of the primary emotional systems with the currently available versions of the ANPS and upon its psychometric properties and its length. We reflect also on problems such as the large overlap between the SADNESS and FEAR dimensions, the disentangling of PANIC and GRIEF in the context of SADNESS, and the absence of a LUST scale. Lastly, we want to encourage scientists with the present brief communication to engage in further biological validation of the ANPS.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"5 ","pages":"e10"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40339585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2022-08-23eCollection Date: 2022-01-01DOI: 10.1017/pen.2022.1
Lindsey Marwood, Toby Wise, Jess Kerr-Gaffney, Rebecca Strawbridge, Steve C R Williams, Anthony J Cleare, Adam Perkins
{"title":"Brain activity during pursuit and goal-conflict threat avoidance in major depressive disorder.","authors":"Lindsey Marwood, Toby Wise, Jess Kerr-Gaffney, Rebecca Strawbridge, Steve C R Williams, Anthony J Cleare, Adam Perkins","doi":"10.1017/pen.2022.1","DOIUrl":"https://doi.org/10.1017/pen.2022.1","url":null,"abstract":"<p><p>Threat avoidance is a prominent symptom of affective disorders, yet its biological basis remains poorly understood. Here, we used a validated task, the Joystick Operated Runway Task (JORT), combined with fMRI, to explore whether abnormal function in neural circuits responsible for avoidance underlies these symptoms. Eighteen individuals with major depressive disorder (MDD) and 17 unaffected controls underwent the task, which involved using physical effort to avoid threatening stimuli, paired with mild electric shocks on certain trials. Activity during anticipation and avoidance of threats was explored and compared between groups. Anticipation of aversive stimuli was associated with significant activation in the dorsal anterior cingulate cortex, superior frontal gyrus, and striatum, while active avoidance of aversive stimuli was associated with activity in dorsal anterior cingulate cortex, insula, and prefrontal cortex. There were no significant group differences in neural activity or behavioral performance on the JORT; however, participants with depression reported more dread while being chased on the task. The JORT effectively identified neural systems involved in avoidance and anticipation of aversive stimuli. However, the absence of significant differences in behavioral performance and activation between depressed and non-depressed groups suggests that MDD is not associated with abnormal function in these networks. Future research should investigate the basis of passive avoidance in major depression. Further, the JORT should be explored in patients with anxiety disorders, where threat avoidance may be a more prominent characteristic of the disorder.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"5 ","pages":"e9"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428662/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40359240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2022-08-09eCollection Date: 2022-01-01DOI: 10.1017/pen.2021.5
Yen-Wen Chen, Turhan Canli
{"title":"\"Nothing to see here\": No structural brain differences as a function of the <i>Big Five</i> personality traits from a systematic review and meta-analysis.","authors":"Yen-Wen Chen, Turhan Canli","doi":"10.1017/pen.2021.5","DOIUrl":"10.1017/pen.2021.5","url":null,"abstract":"<p><p>Personality reflects social, affective, and cognitive predispositions that emerge from genetic and environmental influences. Contemporary personality theories conceptualize a Big Five Model of personality based on the traits of neuroticism, extraversion, agreeableness, conscientiousness, and openness to experience. Starting around the turn of the millennium, neuroimaging studies began to investigate functional and structural brain features associated with these traits. Here, we present the first study to systematically evaluate the entire published literature of the association between the Big Five traits and three different measures of brain structure. Qualitative results were highly heterogeneous, and a quantitative meta-analysis did not produce any replicable results. The present study provides a comprehensive evaluation of the literature and its limitations, including sample heterogeneity, Big Five personality instruments, structural image data acquisition, processing, and analytic strategies, and the heterogeneous nature of personality and brain structures. We propose to rethink the biological basis of personality traits and identify ways in which the field of personality neuroscience can be strengthened in its methodological rigor and replicability.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"5 ","pages":"e8"},"PeriodicalIF":0.0,"publicationDate":"2022-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379932/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40646060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2022-03-23eCollection Date: 2021-01-01DOI: 10.1017/pen.2021.6
Dmitri Rozgonjuk, Kenneth L Davis, Cornelia Sindermann, Christian Montag
{"title":"The Affective Neuroscience Personality Scales: Linking the adjective and statement-based inventories with the Big Five Inventory in English and German-speaking samples.","authors":"Dmitri Rozgonjuk, Kenneth L Davis, Cornelia Sindermann, Christian Montag","doi":"10.1017/pen.2021.6","DOIUrl":"10.1017/pen.2021.6","url":null,"abstract":"<p><p>Jaak Panksepp's Affective Neuroscience Theory is of high relevance not only for a better understanding of affective brain disorders but also in personality research. To make Panksepp's theory more accessible for psychologists and psychiatrists, Davis, Panksepp, and Normansell (2003) developed the Affective Neuroscience Personality Scales (ANPS). These scales assess the manifestation of the primary emotional traits in humans based on a personality trait approach. Given their putative foundation in old subcortical areas in the brain, these primary emotional traits (assessed via the ANPS) could represent the evolutionarily oldest manifestations of personality (but this notion is still a matter of a debate). However, the ANPS inventories were based on using contextual items (e.g., about specific attitudes, behaviors, and feelings in specific situations). Recently, an adjective-based ANPS (ANPS-Adjective Ratings or ANPS-AR) was developed for a less context-dependent and more efficient assessment of Panksepp's primary emotional systems in humans for use by both individuals and independent observer raters. The present work introduces the first German version of the ANPS-AR. Moreover, the current work investigates the original and ANPS-AR versions of the ANPS and their associations with the Big Five personality traits in two independent English- and German-speaking samples. The results show that the ANPS measures are very similarly correlated with the Big Five personality traits across different samples and scales. This work replicates the previous findings in an English version, and demonstrates the reliability and validity of the adjective-based German ANPS-AR.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"4 1","pages":"e7"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988172/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49565370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2021-11-15eCollection Date: 2021-01-01DOI: 10.1017/pen.2021.2
Matthew S Shane, William J Denomme
{"title":"Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer.","authors":"Matthew S Shane, William J Denomme","doi":"10.1017/pen.2021.2","DOIUrl":"https://doi.org/10.1017/pen.2021.2","url":null,"abstract":"<p><p>By some accounts, as many as 93% of individuals diagnosed with antisocial personality disorder (ASPD) or psychopathy also meet criteria for some form of substance use disorder (SUD). This high level of comorbidity, combined with an overlapping biopsychosocial profile, and potentially interacting features, has made it difficult to delineate the shared/unique characteristics of each disorder. Moreover, while rarely acknowledged, both SUD and antisociality exist as highly heterogeneous disorders in need of more targeted parcellation. While emerging data-driven nosology for psychiatric disorders (e.g., Research Domain Criteria (RDoC), Hierarchical Taxonomy of Psychopathology (HiTOP)) offers the opportunity for a more systematic delineation of the externalizing spectrum, the interrogation of large, complex neuroimaging-based datasets may require data-driven approaches that are not yet widely employed in psychiatric neuroscience. With this in mind, the proposed article sets out to provide an introduction into machine learning methods for neuroimaging that can help parse comorbid, heterogeneous externalizing samples. The modest machine learning work conducted to date within the externalizing domain demonstrates the potential utility of the approach but remains highly nascent. Within the paper, we make suggestions for how future work can make use of machine learning methods, in combination with emerging psychiatric nosology systems, to further diagnostic and etiological understandings of the externalizing spectrum. Finally, we briefly consider some challenges that will need to be overcome to encourage further progress in the field.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"4 ","pages":"e6"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640675/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39603481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2021-11-12eCollection Date: 2021-01-01DOI: 10.1017/pen.2021.4
Phoebe S-H Neo, Neil McNaughton, Martin Sellbom
{"title":"Early and late signals of unexpected reward contribute to low extraversion and high disinhibition, respectively.","authors":"Phoebe S-H Neo, Neil McNaughton, Martin Sellbom","doi":"10.1017/pen.2021.4","DOIUrl":"https://doi.org/10.1017/pen.2021.4","url":null,"abstract":"<p><p>Like socio-economic status and cognitive abilities, personality traits predict important life outcomes. Traits that reflect unusually low or high approach motivations, such as low extraversion and high disinhibition, are linked to various forms of mental disorder. Similarly, the dopamine system is theoretically linked to approach motivation traits and to various forms of mental disorder. Identifying neural contributions to extremes of such traits should map to neural sources of psychopathology, with dopamine a prime candidate. Notably, dopamine cells fire in response to unexpected reward, which suggests that the size of non-invasive, scalp-recorded potentials evoked by unexpected reward could reflect sensitivity in approach motivation traits. Here, we evaluated the validity of evoked electroencephalography (EEG) responses to unexpected reward in a monetary gain/loss task to assess approach motivation traits in 137 participants, oversampled for externalizing psychopathology symptoms. We demonstrated that over the 0-400 ms period in which feedback on the outcome was presented, responses evoked by unexpected reward contributed to all theoretically relevant approach motivation trait domains (disinhibition, extraversion and the behavioural activation system); and did so only at times when dopamine responses normally peak and reportedly code salience (70-100 ms) and valuation (200-300 ms). In particular, we linked \"dopaminergic\" salience and valuation to the psychopathology-related constructs of low extraversion (social anxiety) and high disinhibition (impulsivity) respectively, making the evoked potential components biomarker candidates for indexing aberrant processing of unexpected reward.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"4 ","pages":"e5"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645529/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39603480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personality NeurosciencePub Date : 2021-10-08eCollection Date: 2021-01-01DOI: 10.1017/pen.2021.3
Robert D Latzman, Robert F Krueger, Colin G DeYoung, Giorgia Michelini
{"title":"Connecting quantitatively derived personality-psychopathology models and neuroscience.","authors":"Robert D Latzman, Robert F Krueger, Colin G DeYoung, Giorgia Michelini","doi":"10.1017/pen.2021.3","DOIUrl":"10.1017/pen.2021.3","url":null,"abstract":"<p><p>Traditionally, personality has been conceptualized in terms of <i>dimensions</i> of human experience - habitual ways of thinking, feeling, and behaving. By contrast, psychopathology has traditionally been conceptualized in terms of <i>categories</i> of disorder - disordered thinking, feeling, and behaving. The empirical literature, however, routinely shows that psychopathology does not coalesce into readily distinguishable categories. Indeed, psychopathology tends to delineate dimensions that are relatively similar to dimensions of personality. In this special issue of <i>Personality Neuroscience</i>, authors took up the challenge of reconceptualizing personality and psychopathology in terms of connected and interrelated dimensions, and they considered the utility of pursuing neuroscientific inquiry from this more integrative perspective. In this editorial article, we provide the relevant background to the interface between personality, psychopathology, and neuroscience; summarize contributions to the special issue; and point toward directions for continued research and refinement. All told, it is evident that quantitatively derived, integrative models of personality-psychopathology represent a particularly promising conduit for advancing our understanding of the neurobiological foundation of human experience, both functional and dysfunctional.</p>","PeriodicalId":36424,"journal":{"name":"Personality Neuroscience","volume":"4 ","pages":"e4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ca/b7/S2513988621000031a.PMC8640674.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39603479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}