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Plate RC, Jones C, Zhao S, Flum MW, Steinberg J, Daley G, Corbett N, Neumann C, Waller R. "But not the music": psychopathic traits and difficulties recognising and resonating with the emotion in music. Cogn Emot 2023; 37:748-762. [PMID: 37104122 DOI: 10.1080/02699931.2023.2205105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 12/23/2022] [Accepted: 04/05/2023] [Indexed: 04/28/2023]
Abstract
Recognising and responding appropriately to emotions is critical to adaptive psychological functioning. Psychopathic traits (e.g. callous, manipulative, impulsive, antisocial) are related to differences in recognition and response when emotion is conveyed through facial expressions and language. Use of emotional music stimuli represents a promising approach to improve our understanding of the specific emotion processing difficulties underlying psychopathic traits because it decouples recognition of emotion from cues directly conveyed by other people (e.g. facial signals). In Experiment 1, participants listened to clips of emotional music and identified the emotional content (Sample 1, N = 196) or reported on their feelings elicited by the music (Sample 2, N = 197). Participants accurately recognised (t(195) = 32.78, p < .001, d = 4.69) and reported feelings consistent with (t(196) = 7.84, p < .001, d = 1.12) the emotion conveyed in the music. However, psychopathic traits were associated with reduced emotion recognition accuracy (F(1, 191) = 19.39, p < .001) and reduced likelihood of feeling the emotion (F(1, 193) = 35.45, p < .001), particularly for fearful music. In Experiment 2, we replicated findings for broad difficulties with emotion recognition (Sample 3, N = 179) and emotional resonance (Sample 4, N = 199) associated with psychopathic traits. Results offer new insight into emotion recognition and response difficulties that are associated with psychopathic traits.
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Affiliation(s)
- R C Plate
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - C Jones
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - S Zhao
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - M W Flum
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - J Steinberg
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - G Daley
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - N Corbett
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - C Neumann
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - R Waller
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
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The computational psychiatry of antisocial behaviour and psychopathy. Neurosci Biobehav Rev 2023; 145:104995. [PMID: 36535376 DOI: 10.1016/j.neubiorev.2022.104995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 11/21/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
Antisocial behaviours such as disobedience, lying, stealing, destruction of property, and aggression towards others are common to multiple disorders of childhood and adulthood, including conduct disorder, oppositional defiant disorder, psychopathy, and antisocial personality disorder. These disorders have a significant negative impact for individuals and for society, but whether they represent clinically different phenomena, or simply different approaches to diagnosing the same underlying psychopathology is highly debated. Computational psychiatry, with its dual focus on identifying different classes of disorder and health (data-driven) and latent cognitive and neurobiological mechanisms (theory-driven), is well placed to address these questions. The elucidation of mechanisms that might characterise latent processes across different disorders of antisocial behaviour can also provide important advances. In this review, we critically discuss the contribution of computational research to our understanding of various antisocial behaviour disorders, and highlight suggestions for how computational psychiatry can address important clinical and scientific questions about these disorders in the future.
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Rodriguez SN, Gullapalli AR, Tirrell PS, Maurer JM, Egala U, Edwards BG, Anderson NE, Harenski CL, Decety J, Neumann CS, Kiehl KA. Automated patterns of head dynamics are associated with psychopathic traits in incarcerated women. PERSONALITY AND INDIVIDUAL DIFFERENCES 2023; 200:111904. [PMID: 37937147 PMCID: PMC10629898 DOI: 10.1016/j.paid.2022.111904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Men with elevated psychopathic traits have been characterized by unique patterns of nonverbal communication, including more fixed and focused head positions during clinical interviews, compared to men scoring low on measures of psychopathy. However, it is unclear whether similar patterns of head dynamics help characterize women scoring high on psychopathic traits. Here, we utilized an automated detection algorithm to assess head position and dynamics during a videotaped clinical interview (i.e., the Psychopathy Checklist - Revised [PCL-R]) in a sample of n = 213 incarcerated women. PCL-R Total, Factor 1 (i.e., interpersonal and affective psychopathic traits), and Factor 2 (i.e., lifestyle/behavioral and antisocial/developmental psychopathic traits) scores were associated with a pattern of head dynamics indicative of a rigid head position. The current study extends analyses of nonverbal behavior studies in men to women and highlights how individuals with elevated psychopathic traits demonstrate unique nonverbal behaviors relative to individuals who score low on psychopathic traits. The implications and clinical value of these findings are discussed.
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Affiliation(s)
- Samantha N. Rodriguez
- Department of Psychology, MSC03-2220 1 University of New Mexico, Albuquerque, NM 87131, USA
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA
| | | | - Palmer S. Tirrell
- Department of Psychology, MSC03-2220 1 University of New Mexico, Albuquerque, NM 87131, USA
| | - J. Michael Maurer
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA
| | - Ugesh Egala
- Department of Electrical & Computer Engineering, MSC01 1100 1 University of New Mexico, Albuquerque, NM 87131, USA
| | - Bethany G. Edwards
- Department of Psychology, MSC03-2220 1 University of New Mexico, Albuquerque, NM 87131, USA
| | | | - Carla L. Harenski
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA
| | - Jean Decety
- Department of Psychology, 5848 S. University Avenue, University of Chicago, Chicago, IL 60637, USA
| | - Craig S. Neumann
- Department of Psychology, 1155Union Circle #311280, University of North Texas, Denton, TX 76203, USA
| | - Kent A. Kiehl
- Department of Psychology, MSC03-2220 1 University of New Mexico, Albuquerque, NM 87131, USA
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA
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Rodriguez SN, Gullapalli AR, Maurer JM, Tirrell PS, Egala U, Anderson NE, Harenski CL, Kiehl KA. Quantitative Head Dynamics Associated with Interpersonal (Grandiose-Manipulative) Psychopathic Traits in Incarcerated Youth. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2022; 44:1054-1063. [PMID: 37008299 PMCID: PMC10065468 DOI: 10.1007/s10862-022-09988-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/11/2022] [Indexed: 10/16/2022]
Abstract
Clinicians have long noted that individuals with elevated psychopathic traits can be characterized by unique interpersonal styles, including prolonged eye contact, invasion of interpersonal space, and frequent use of hand gestures. Such forms of nonverbal communication can be measured via hand, body, and head position and dynamics. Previous studies have developed an automated algorithm designed to capture head position and dynamics from digital recordings of clinical interviews in a sample of incarcerated adult men. We observed that higher psychopathy scores were associated with stationary head dwell time. Here, we applied a similar automated algorithm to assess head position and dynamics on videotaped clinical interviews assessing psychopathic traits from n = 242 youth housed at a maximum-security juvenile correctional facility. We observed that higher psychopathy scores (assessed via the Hare Psychopathy Checklist: Youth Version [PCL:YV]) were associated with unique patterns of head dynamics. Specifically, PCL:YV Total, Factor 1 (measuring grandiose-manipulative and callous-unemotional traits), and Facet 1 (measuring grandiose-manipulative traits) scores were associated with a higher proportion of time spent in a head dynamics pattern consisting of moderate movement away from the average head position. This study lays the groundwork for future investigations to apply quantitative methods to better understand patterns of nonverbal communication styles in clinical populations characterized by severe antisocial behavior.
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Affiliation(s)
- Samantha N. Rodriguez
- University of New Mexico, Department of Psychology, Albuquerque, NM, USA
- The Mind Research Network, Albuquerque, NM, USA
| | | | | | - Palmer S. Tirrell
- University of New Mexico, Department of Psychology, Albuquerque, NM, USA
| | - Ugesh Egala
- University of New Mexico, Department of Psychology, Albuquerque, NM, USA
| | | | | | - Kent A. Kiehl
- University of New Mexico, Department of Psychology, Albuquerque, NM, USA
- The Mind Research Network, Albuquerque, NM, USA
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