Introduction
Psychopathy has traditionally been characterized as a disorder primarily of personality (particularly affective deficits) and, less often, behavior (e.g. antisocial behavior, impaired empathy, bold and egotistical traits) (Ogloff 2006; Patrick et al. 2009; Buzina 2012). In the past, the word “psychopathy” was used as a synonym for aggressive and irresponsible behavior (Buzina 2012), while psychopaths are frequently described as individuals who lack empathy and guilt, have shallow affect and violent antisocial behavior (Eslinger 2000) with a high intellect and greater tendency to be impulsive and angry (Minò 2019). Empathy is the ability to mentally put oneself in the place of another and imagine what the other person is experiencing emotionally. Patients diagnosed with psychopathy can understand others’ feelings from an intellectual viewpoint but they are not able to feel as normal as a healthy person does in terms of more differentiated feelings (Morana et al. 2004). Nevertheless, Morana et al. claim that the term “psychopathy”, which belongs to the sphere of forensic psychiatry and is not a medical diagnosis, may be understood as a “legal diagnosis” (Morana et al. 2004).
The American psychiatrist Hervey Cleckley identified 16 characteristics of psychopathy drawn from the literature and his clinical experience. Later, the Canadian psychologist Robert D. Hare repopularized the construct of psychopathy in criminology with his Psychopathy Checklist (now the Psychopathy Checklist-revised – PCL-R) (Patrick 2005; Partridge 1930). The PCL-R is one of the most common tools to measure the presence of psychopathy. Each of the 20 items in the PCL-R is scored on a three-point scale, with a rating of 0 if it does not apply at all, 1 if there is a partial match or mixed information, and 2 if there is a reasonably good match to the offender. Scores range from 0 to 40, and legal and mental health professionals sometimes rely on a cut-off score or threshold to classify individuals as psychopaths (Balsis et al. 2017). The cut-off for the label of psychopathy is 30 in the United States and 25 in the United Kingdom (Skeem et al. 2011; Semple 2005).
Some studies suggest that there could be differences in e.g. the cavum septum pellucidum and amygdalae in psychopaths’ brains compared to nonpsychopaths. Neuropsychological and neuroimaging examination of individuals with this disorder showed that critical functions of these areas are compromised in individuals with this disorder (Blair 2008). However, Raine et al. emphasize that many other regions (e.g. the hippocampus, insula, angular gyrus) are likely to be significantly involved in antisocial and violent behavior (Raine and Yang 2004).
The amygdala is composed of distinct subareas or nuclei (anatomically, the amygdala is a part of the basal ganglia) involved in a wide range of normal behavioral functions and psychiatric conditions (LeDoux 2007). In the research of Gallagher and Chiba, different output pathways from the amygdala were delineated that mediate specific aspects of learning connected with positive and negative emotional states (Gallagher and Chiba 1996). The septum pellucidum is a thin, triangular double membrane separating the frontal horns of the right and left lateral ventricles of the brain. The cavum septum pellucidum (CSP) is a potential cavity between the membranous leaves of the septum pellucidum (Das and Dossani 2022).
This review focuses only on structural differences that can be observed in the brains of treatment groups and controls. The authors also chose to point out the influence of substance abuse as a covariate in the cited studies, though in different studies many different covariates were examined.
Material and methods
A PubMed search was conducted using the keywords “Psychopathy”, “Psychopathy brain”, “Psychopathy nucleus accumbens”, and “Psychopathy cortical gyrification”. A total of 322 papers were found, from which 28 were selected as sources for the following discussion. In the selection of publications, brain structure that was examined and substance abuse as a covariate were important. Articles were analyzed with a particular emphasis on the most recent publications. Other criteria included the size of the study group (cohort, case control and individual case studies), the number of citations of the article and the reliability.
Results
Research on brain morphology showed differences in the brain structures of psychopaths, but the results of the studies differ because of the different methods that were used (Boccardi et al. 2013). This literature review shows that there can be various changes in different brain structures in psychopaths that could be revealed in the brain imaging; in all reviewed studies it was MRI imaging. Summaries of the conclusions of each study are presented in Table 1.
In the study carried out by Ly et al. (2012)the researchers examined 52 participants, who were male inmates from a medium-security Wisconsin correctional institution. They were divided into groups of psychopaths and non-psychopaths based on the PCL-R score (psychopathic – 30 or greater, non-psychopathic – 20 or less). Twenty-one of the inmates were assigned to the psychopath group and 31 inmates to the non-psychopath group. The researchers computed cortical thickness maps, using MRI data. The study showed a significantly thinner cortex in 13 of the areas, most significant in the left insula, left dorsal anterior cingulate cortex, bilateral precentral gyrus, bilateral temporal pole, and right inferior frontal gyrus in psychopaths (Ly et al. 2012). After a follow-up analysis concerning substance use disorder the researchers concluded that the observed results (cortical thinning) were due to different levels of psychopathy, rather than different rates of substance use disorder.
In another study conducted by Nummenmaa et al. the researchers examined a community sample of 100 (51 female) well-functioning people, rather than offenders. They assessed whether the psychopathic traits were connected with cortical density and brain activity when viewing highly naturalistic violent episodes (Nummenmaa et al. 2021). These people had no history of substance or alcohol abuse. However, the authors also compared 19 offenders (all male) with psychopathic traits vs. 19 healthy controls (different from described above, all male), checking whether these traits matched with corresponding structural and functional alterations. In this review a functional connection was excluded. The Levenson Self-Report Psychopathy Scale (LSRP) was used to assess psychopathic traits in controls and the PCL-R was used in the case of offenders. MRI was conducted. The study showed that offenders with psychopathic traits had lower gray matter density (GMD) in the anterior insula, orbitofrontal cortex and secondary somatosensory cortex. In the community sample there was a negative association with primary LSRP scores in the same regions. Additional effects were observed in the primary somatosensory cortex, paracentral lobule and midcingulate cortex (Nummenmaa et al. 2021). No associations were found with secondary psychopathy. Analysis of WM segments showed lowered density in the cerebellum and around the lingual gyrus in the psychopathic group, but no association was found in the community sample (Nummenmaa et al. 2021).
Yang et al. focused their study on amygdala volume. Their study included 27 psychopathic individuals and 32 non-psychopathic controls recruited from temporary employment agencies in Los Angeles, California (Yang et al. 2009). The PCL-R was used to assess psychopathy (individuals with a psychopathy score higher than 23) and MRI was used to obtain brain imaging. The study showed that in psychopaths there is significant volume reduction in the amygdala (a 17.14% volume reduction in the left amygdala and an 18.93% volume reduction in the right). These results remained significant after correction for the whole-brain volume, socioeconomic status, and substance/alcohol dependence. The researchers also found bilateral shape differences of the amygdala that were consistent with the volumetric findings, but little evidence could be found for deformations in the vicinity of the accessory basal nuclei, basomedial nuclei, medial amygdaloid nuclei, or piriform cortex. Considering 9 other nuclei, the strongest evidence was found for deformations in the approximate locations of the anterior and posterior cortical and central nuclei (superior view) and the basolateral and lateral nuclei (superior and inferior view) of the amygdala (Yang et al. 2009). The authors stated that one of the limitation of the study was the possibility of confounding factors contributing to the amygdala structural alterations.
Amygdala volume was also the subject of a study performed by Boccardi et al. (2011). They examined 26 male offenders and 25 male controls: PCL-R was used to assess psychopathy, and MRI scans and case record files from offenders were obtained retrospectively from hospital files. Furthermore, the offenders presented substance abuse, while controls did not. The study showed that the global volumes (mm3) of the amygdalae were significantly greater in offenders than in controls in the t-test (Boccardi et al. 2011) and there were also differences in morphology: in offenders increased tissue was observed in the central, in the basolatero-ventromedial and in the lateral nuclei, bilaterally, while there was reduced tissue in the basolateral nucleus. The global map of local differences on the right side was significant, while on the left side local changes achieved a significance of up to p < 0.001, uncorrected. Also there were found significant cortical morphology differences: in offenders tissue reductions were found in the orbitofrontal and ventromedial-anterior cingulate, cuneus and precuneus, and the parahippocampal and superior frontal gyrus, medially, were also involved. Minor reduction effects were observed dorsally, in the cortical mantle, and these involved the motor-sensory cortex and BA 45 on the right (Boccardi et al. 2011). However as the authors acknowledge, the main weakness of the study was the presence of substance abuse in the offenders. After another analysis of subgroups (users and non-users of amphetamine and of polysubstances independently compared to controls, as well as high psychopathy severity compared to medium psychopathy severity) the results were consistent with the main comparisons and with a main effect of psychopathy rather than substance abuse on brain morphology. Nonetheless, the authors point out that further analysis is required (Boccardi et al. 2011).
The study conducted by White et al. evaluated the relationship between a large cavum septum pellucidum (CSP) and symptom severity in disruptive behavior disorders (DBD, including conduct disorder and oppositional defiant disorder) in adolescents (White et al. 2013). Participants were 32 youths with DBD and 27 healthy controls; two adolescents met the criteria for substance abuse (history of substance dependence was one of the exclusion criteria). MRI was acquired and a large CSP was defined as presence of a CSP of 4 mm or greater length. The study showed that a CSP was present only in youths with DBD (7/32, 22%) and was not observed in the control group. However, when comparing youths with DBD who had a CSP to those who did not, significantly higher levels of psychopathic traits and aggression were not found. There is a lack of statistical power in these analyses due to the small number of youth with a large CSP (White et al. 2013). Conduct disorder is predictive of adult psychopathy (Nummenmaa et al. 2021).
Raine et al. studied adults with psychopathy: they recruited 75 male and 12 female subjects from five temporary employment agencies, of whom 30 males and 2 females were diagnosed with psychopathy using the PCL-R (score of 23 or more) (Raine et al. 2010). Also, 17 males and 1 female fulfilled the antisocial personality disorder (ASPD) criteria. In this study participants were also checked for criminal offending, but it was decided not to mention these results in this review. MRI imaging was conducted. Nineteen of the participants (14 male, 5 female) had a CSP, which was defined as a CSP of 6 mm or greater length. The psychopathy scores were higher in the CSP group and a significant CSP × gender interaction was found, particularly higher psychopathy scores in females with a CSP. Nevertheless, the authors stipulate that this interaction must be treated with caution (Raine et al. 2010). Also antisocial personality disorder scores were higher in the group with a CSP, but in this case without a CSP × gender interaction (although males had higher antisocial personality disorder scores than females) (Raine et al. 2010). The authors also checked the possibility that alcohol and substance dependence (as well as schizophrenia-spectrum disorders, psychotic disorders and mood disorders) may be comorbid disorders accounting for the CSP–antisocial relationship. After simultaneous entry of all these covariates, the main effects of CSP remained significant for psychopathy and antisocial personality disorder (Raine et al. 2010). There was also detected a longer CSP in participants without ASPD but with a history of arrests than in participants without ASPD and without a history of arrests.
Boccardi et al. examined 26 male subjects with psychopathy (the PCL-R was used to assess psychopathy) and 25 non-psychopaths (they were also free from current or past substance abuse), which was the same group as mentioned above in the study by Boccardi et al. (2011). They focused on the nucleus accumbens, and, as the authors mentioned, this structure had not received specific attention yet (Boccardi et al. 2013). Also a PubMed search did not reveal other papers about nucleus accumbens morphology. In the Boccardi et al. study MRI scans of the offenders were obtained retrospectively from hospital files. The researchers observed in global volumetric analyses a significant bilateral tissue deficit of 13% in the accumbens nuclei in psychopaths compared to the control group. Local analyses showed a symmetrical pattern of reduction and enlargement effects. Reduction was observed mainly in the rostral part, but there was also a midline reduction and caudal deficit. Small hypertrophic regions were also found and they resulted in a more rounded shape of the accumbens in psychopaths (Boccardi et al. 2013). The authors conducted checks for substance abuse, comparing users and non-users of polysubstance (any substance except alcohol) vs. controls, amphetamine users and non-users vs. controls and polysubstance users vs. polysubstance non-users. In the comparisons of subgroups vs. controls the same pattern as in the main comparisons was observed, suggesting that the observed alterations are not specific to substance abuse. In the case of amphetamine abuse the result of the analysis was the same (Boccardi et al. 2013). The last comparison of polysubstance users versus polysubstance non-users (only alcohol abuse) yielded negative results. The very circumscribed regions of significant tissue difference did not survive the permutation test. The authors concluded that these comparisons support the interpretation that their main findings were not due to substance abuse (Boccardi et al. 2013).
A study conducted by Miskovich et al. focused on cortical gyrification and was one of three studies found in the PubMed database using the phrase “cortical gyrification psychopathy”. The authors examined 716 adult male inmates from forensic institutions and correctional facilities in Wisconsin and New Mexico. The PCL-R was used to assess psychopathy and MRI was conducted. The researchers used a 3D measurement of folding of the cortical surface, the local gyrification index (LGI). The analysis concerned the relationship between LGI and PCL-R total scores (also PCL-R factor scores). Diagnosis of alcohol or substance dependence was one of the covariates. The study revealed negative associations between PCL-R scores and LGI in several brain areas, specifically in two clusters in the right hemisphere including the midcingulate cortex, extending into the dorsomedial frontal cortex and lateral superior parietal cortex (Miskovich et al. 2018). Analysis of subjects without substance dependence was significant for the midcingulate cortex (in the right hemisphere), though the cluster was smaller, but it was not significant for the superior parietal cluster. No LGI differences were found between those with and without a substance dependence diagnosis (Miskovich et al. 2018).
Discussion
As outlined above, studies show differences in various brain structures between psychopaths and people without psychopathy. But in comparison there are also studies that check brain structure changes in correlation to other disorders connected with violent behavior, such as conduct disorder, antisocial personality disorder and schizophrenia. Firstly, conduct disorder is, as mentioned above, predictive of adult psychopathy (Nummenmaa et al. 2021). Secondly, it is a psychiatric condition that is characterized by increased aggressive and antisocial behavior (Fairchild et al. 2011). In two performed studies researchers examined brain structures in separately male and female participants with conduct disorder. The first study (Fairchild et al. 2011) compared male adolescents with conduct disorder (separated into early-onset and adolescent-onset groups, which was excluded in this review) to healthy controls. The researchers observed reduced gray matter volume in e.g. the bilateral amygdala, extending into the ventral insula on the left side, left dorsomedial prefrontal cortex, and bilateral caudate nucleus (Fairchild et al. 2011) (the effect in the left insula was no longer significant when controlling for ADHD symptoms or age). There was also found a positive correlation between self-reported callous-unemotional traits and volume in the caudate nucleus and ventral striatum, which remained significant when adjusting for conduct disorder symptoms and which is consistent with a study that reported increased striatal volume in adults with psychopathy (Fairchild et al. 2011). There was also a positive correlation between self-reported psychopathic traits and right caudate volume. In the second study (Fairchild et al. 2013) the researchers examined girls with conduct disorder. The study showed reduced grey matter volume in the bilateral anterior insula and right striatum in females with conduct disorder compared to controls. Also aggressive conduct disorder symptoms were negatively correlated with right dorsolateral prefrontal cortex volume, and it was mentioned that another study described reduced dorsolateral prefrontal cortex volume in antisocial populations. It was reported that male and female adolescents with conduct disorder show statistically equivalent reductions in amygdala volume, but the relationship between conduct disorder and anterior insula volume differs between the sexes (Fairchild
et al. 2013).
Another study focused on people with violent antisocial personality disorder or schizophrenia (Narayan et al. 2007). Participants were divided into groups: those with 1) antisocial personality disorder with a history of violence (but without psychopathic personality traits), 2) schizophrenia and a history of violence, 3) schizophrenia without a history of violence and 4) a healthy nonviolent comparison group. In the study the main effects of violence were associated with thinning of the prefrontal cortex in the medial inferior frontal area (larger extent in the left hemisphere), the lateral sensory motor cortex and surrounding association areas (larger extent in the right hemisphere) and in areas surrounding the posterior region of the intraparietal sulcus bilaterally in violent participants in comparison to nonviolent participants (Narayan et al. 2007). There were also visible changes in cortical thickness surrounding the medial inferior frontal cortices in groups with a diagnosis of schizophrenia and with violent behavior. In brain images of people with antisocial personality disorder there can be seen significant thinning of the medial inferior frontal cortices bilaterally and thinning of sensory motor areas in the right hemisphere in comparison to healthy participants. Subjects with schizophrenia and violent behavior showed deficits in sensory motor areas in comparison to nonviolent schizophrenia subjects (Narayan et al. 2007). To sum up, cortical thinning that is examined in participants with antisocial personality disorder and schizophrenia, both with a history of violent behavior, is regionally specific and partially different in these groups.
During preparation for this review the authors found out that it is important to check how substance use disorder may influence the results of brain studies. For example, Schiffer et al. conducted a study in which four groups of men were compared: 12 violent offenders (people who exhibit violent behavior) with substance use disorder (SUDs), 12 violent offenders without SUDs, 13 nonoffenders (people who did not exhibit violent behavior) with SUDs and 14 nonoffenders without SUDs. The duration of SUDs was similar and also urine analysis showed that no participant had consumed any substance in the year prior to study entry, meaning there was no current substance abuse (Schiffer et al. 2011). Diagnoses of SUDs were confirmed by interviews using the Structured Clinical Interview for DSM-IV, and the Michigan Alcohol Screening Test and the Drug Abuse Screening Test was used to provide scores of lifetime use of alcohol and illicit drugs. Psychopathic traits were assessed using the PCL-SV; violent offenders obtained higher PCL-SV scores than did the nonoffenders. MRI was acquired. The study showed that violent offenders compared with nonoffenders exhibited greater gray matter volume in the left nucleus accumbens, the bilateral amygdala, and the right caudate head. Smaller gray matter volumes were observed in the left anterior insula. No differences were detected in gray matter volumes of the prefrontal cortex or orbitofrontal cortex (Schiffer et al. 2011). In the analysis comparing participants with SUDs with participants without SUDs there were significantly reduced gray matter volumes in the medial orbitofrontal cortex, the ventromedial prefrontal cortex and the premotor area. None of the interaction terms were significant (Schiffer et al. 2011). The analysis also revealed a positive correlation between PCL-SV scores and left amygdala and left nucleus accumbens volume (comparison between violent offenders and nonoffenders). However, there was a negative correlation between PCL-SV score (both factors) and left insula volume. The authors concluded that greater gray matter volume in the mesolimbic reward system may be associated with violent behavior, but reduced gray matter volumes in the prefrontal cortex, orbitofrontal cortex, and premotor area are observed in men with substance use disorder (Schiffer et al. 2011).
Conclusions
Psychopathy is a neuropsychiatric disorder with deficient emotional responses, poor behavioral controls, shallow affect, lack of empathy and high intellect.
Various studies have revealed differences in several brain structures in people with psychopathy in comparison with nonpsychopaths.
There is a need for further studies, describing brain structures when using certain covariates for better understanding of the brain structure-psychopathy relationship.
Further research on psychopathy should involve substance abuse as a covariate.
In people without psychopathy, but with disorders connected with violent behavior, e.g. conduct disorder and antisocial personality disorder, differences in brain structures can also be observed in comparison to healthy controls.
There is a need for further studies of different disorders connected with violent behavior related to brain changes.
Disclosure
The authors declare no conflict of interest.
References
1. Balsis S, Busch AJ, Wilfong KM, et al. A statistical consideration regarding the threshold of the psychopathy checklist-revised. J Pers Assess 2017; 99: 494-502.
2.
Blair RJ. The amygdala and ventromedial prefrontal cortex: functional contributions and dysfunction in psychopathy. Philos Trans R Soc Lond B Biol Sci 2008; 363: 2557-2565.
3.
Boccardi M, Bocchetta M, Aronen HJ, et al. Atypical nucleus accumbens morphology in psychopathy: another limbic piece in the puzzle. Int J Law Psychiatry 2013; 36: 157-167.
4.
Boccardi M, Frisoni GB, Hare RD, et al. Cortex and amygdala morphology in psychopathy. Psychiatry Res 2011; 193: 85-92.
5.
Buzina N. Psychopathy – historical controversies and new diagnostic approach. Psychiatr Dan 2012; 24: 134-142.
6.
Das MJ, Dossani RH. Cavum septum pellucidum. StatPearls Publishing, Treasure Island (FL) 2022.
7.
Eslinger PJ. Neurological and neuropsychological bases of empathy. Eur Neurol 1998; 39: 193-199; Erratum: Eur Neurol 2000; 37: 267.
8.
Fairchild G, Hagan CC, Walsh ND, et al. Brain structure abnormalities in adolescent girls with conduct disorder. J Child Psychol Psychiatry 2013; 54: 86-95.
9.
Fairchild G, Passamonti L, Hurford G, et al. Brain structure abnormalities in early-onset and adolescent-onset conduct disorder. Am J Psychiatry 2011; 168: 624-633.
10.
Gallagher M, Chiba AA. The amygdala and emotion. Curr Opin Neurobiol 1996; 6: 221-227.
11.
LeDoux J. The amygdala. Curr Biol 2007; 17: R868-874.
12.
Ly M, Motzkin JC, Philippi CL, et al. Cortical thinning in psychopathy. Am J Psychiatry 2012; 169: 743-749.
13.
Minò MV. Psychopathy in adolescence: Causes, traits and risk behaviours. Psychiatr Dan 2019; 31 (Suppl 3): 443.
14.
Miskovich TA, Anderson NE, Harenski CL, et al. Abnormal cortical gyrification in criminal psychopathy. Neuroimage Clin 2018; 19: 876-882.
15.
Morana HC, Stone MH, Abdalla-Filho E. Transtornos de personalidade, psicopatia e serial killers [Personality disorders, psychopathy and serial killers]. Braz J Psychiatry 2006; 28 Suppl 2: 74-79.
16.
Narayan VM, Narr KL, Kumari V, et al. Regional cortical thinning in subjects with violent antisocial personality disorder or schizophrenia. Am J Psychiatry 2007; 164: 1418-1427.
17.
Nummenmaa L, Lukkarinen L, Sun L, et al. Brain basis of psychopathy in criminal offenders and general population. Cereb Cortex 2021; 31: 4104-4114.
18.
Ogloff JR. Psychopathy/antisocial personality disorder conundrum. Aust N Z J Psychiatry 2006; 40: 519-528.
19.
Partridge GE. Current conceptions of psychopathic personality. American Psychiatric Association. Am J Psychiatry 1930; 153-199. doi: 10.1176/ajp.87.1.53.
20.
Patrick C. Handbook of psychopathy. Guilford Press, New York 2005.
21.
Patrick C, Fowles D, Krueger R. Triarchic conceptualization of psychopathy: Developmental origins of disinhibition, boldness, and meanness. Dev Psychopathol 2009; 21: 913-938.
22.
Raine A, Lee L, Yang Y, et al. Neurodevelopmental marker for limbic maldevelopment in antisocial personality disorder and psychopathy. Br J Psychiatry 2010; 197: 186-192.
23.
Raine A, Yang Y. The neuroanatomical bases of psychopathy: a review of brain imaging findings. In: Patrick CJ (Ed.), Handbook of Psychopathy. Guilford, New York 2004.
24.
Schiffer B, Müller BW, Scherbaum N, et al. Disentangling structural brain alterations associated with violent behavior from those associated with substance use disorders. Arch Gen Psychiatry 2011; 68: 1039-1049.
25.
Semple D. The Oxford Handbook of Psychiatry. Oxford University Press 2005; 448-449.
26.
Skeem JL, Polaschek DL, Patrick CJ, et al. Psychopathic personality: Bridging the gap between scientific evidence and public policy. Psychol Sci Public Interest 2011; 12: 95-162.
27.
White SF, Brislin S, Sinclair S, et al. The relationship between large cavum septum pellucidum and antisocial behavior, callous-unemotional traits and psychopathy in adolescents. J Child Psychol Psychiatry 2013; 54: 575-581.
28.
Yang Y, Raine A, Narr K, et al. Localization of deformations within the amygdala in individuals with psychopathy. Arch Gen Psychiatry 2009; 66: 986-994.