First author
Year
Title
Type of imaging
Type of analysis
PCL-R cutoff for P
Mean PCL-R for Ps
P sample size
Birbaumer
(2005)
Deficient fear conditioning in psychopathy: a functional magnetic resonance imaging study
F
BG
15
24.9
10
Bjork
(2012)
Psychopathic tendencies and mesolimbic recruitment by cues for instrumental and passively obtained rewards
F
C/R
n/a
n/a
n/a
Boccardi
(2011)
Cortex and amygdala morphology in psychopathy
S
BG
21
29.9
26
(2010)
Abnormal hippocampal shape in offenders with psychopathy
S
BG
30
34.6
12
Buckholtz
(2010)
Mesolimbic dopamine reward system hypersensitivity in individuals with psychopathic traits
F
C/R
n/a
n/a
n/a
Carré
(2013)
The neural signatures of distinct psychopathic traits
F
C/R
n/a
n/a
n/a
Craig
(2009)
Altered connections on the road to psychopathy
S
BG, C/R
25
28.4
9
de Oliveira-Souza
(2008)
Psychopathy as a disorder of the moral brain: fronto-temporo-limbic gray matter reductions demonstrated by voxel-based morphometry
S
BG, C/R
n/a
n/a
15
Deeley
(2006)
Facial emotion processing in criminal psychopathy. Preliminary functional magnetic resonance imaging study
F
BG
25
29.3
6
Dolan
(2009)
Psychopathy and functional magnetic resonance imaging blood oxygenation level-dependent responses to emotional faces in violent patients with schizophrenia
F
BG, C/R
n/a
n/a
12
Ermer
(2012)
Aberrant paralimbic gray matter in criminal psychopathy
S
C/R
n/a
n/a
n/a
Glenn
(2009)
The neural correlates of moral decision-making in psychopathy
F
C/R
n/a
n/a
n/a
(2010b)
No volumetric differences in the anterior cingulate of psychopathic individuals
S
BG, C/R
23
28.0
24
(2010a)
Increased volume of the striatum in psychopathic individuals
S
BG
23
27.2
22
Gordon
(2004)
Functional differences among those high and low on a trait measure of psychopathy
F
BG
n/a
n/a
n/a
Gregory
(2012)
The antisocial brain: psychopathy matters
S
BG
25
28.1
17
Harenski
(2009)
Neuroticism and psychopathy predict brain activation during moral and nonmoral emotion regulation
F
C/R
n/a
n/a
n/a
(2010)
Aberrant neural processing of moral violations in criminal psychopaths
F
BG, C/R
30
31.8
16
Intrator
(1997)
A brain imaging (single photon emission computerized tomography) study of semantic and affective processing in psychopaths
F
BG
25
29.9
8
Juárez
(2013)
Intrinsic limbic and paralimbic networks are associated with criminal psychopathy
F
BG, C/R
30
32.5
17
Kiehl
(2001)
Limbic abnormalities in affective processing by criminal psychopaths as revealed by functional magnetic resonance imaging
F
BG
24
32.8
8
(2004)
Temporal lobe abnormalities in semantic processing by criminal psychopaths as revealed by functional magnetic resonance imaging
F
BG
29
32.8
8
Laakso
(2001)
Psychopathy and the posterior hippocampus
S
C/R
n/a
n/a
n/a
Ly
(2012)
Cortical thinning in psychopathy
F, S
BG
30
31.8
21
Marsh
(2012 in press)
When psychopathy impairs moral judgments: neural responses during judgments causing fear
F
BG
n/a
n/a
n/a
Motzkin
(2011)
Reduced prefrontal connectivity in psychopathy
F, S
BG
30
31.9
20
Muller
(2003)
Abnormalities in emotion processing within cortical and subcortical regions in criminal psychopaths: evidence from a functional magnetic resonance imaging study using pictures with emotional content
F
BG
31
36.8
6
(2008a)
Gray matter changes in right superior temporal gyrus in criminal psychopaths. Evidence from voxel-based morphometry
S
BG
28
33.4
17
(2008b)
Disturbed prefrontal and temporal brain function during emotion and cognition interaction in criminal psychopathy
F
BG
28
30.5
10
Osumi
(2012)
Amygdala dysfunction attenuates frustration-induced aggression in psychopathic individuals in a noncriminal population
F
C/R
n/a
n/a
n/a
Pujara
(2013 in press)
Neural correlates of reward and loss sensitivity in psychopathy
F, S
BG, C/R
30
31.7
18
Pujol
(2012)
Breakdown in the brain network subserving moral judgment in criminal psychopathy
F
BG, C/R
20
27.8
22
Raine
(2003)
Corpus callosum abnormalities in psychopathic antisocial individuals
S
BG, C/R
23
30.3
15
(2010)
Neurodevelopmental marker for limbic maldevelopment in antisocial personality disorder and psychopathy
S
BG
23
28.7
18
Rilling
(2007)
Neural correlates of social cooperation and noncooperation as a function of psychopathy
F
C/R
n/a
n/a
n/a
Sadeh
(2013)
Emotion disrupts neural activity during selective attention in psychopathy
F
C/R
n/a
n/a
n/a
Sato
(2011)
Identification of psychopathic individuals using pattern classification of MRI images
S
C/R
n/a
n/a
n/a
Sheng
(2010)
Default network deactivations are correlated with psychopathic personality traits
F
C/R
n/a
n/a
n/a
Sommer
(2010)
In psychopathic patients emotion attribution modulates activity in outcome-related brain areas
F
BG
28
28.6
14
Veit
(2010)
Aberrant social and cerebral responding in a competitive reaction time paradigm in criminal psychopaths
F
C/R
n/a
n/a
n/a
Yang
(2005b)
Volume reduction in prefrontal gray matter in unsuccessful criminal psychopaths
S
BG, C/R
23
28.4
29
(2009)
Localization of deformations within the amygdala in individuals with psychopathy
S
BG, C/R
23
28.0
27
(2010)
Morphological alterations in the prefrontal cortex and the amygdala in unsuccessful psychopaths
S
BG
23
n/a
26
(2011)
Abnormal structural correlates of response perseveration in individuals with psychopathy
S
BG, C/R
23
n/a
27
(2012)
Frontal information flow and connectivity in psychopathy
S
BG
n/a
n/a
55
28.1 Neuroimaging Data on Psychopathy: Summary of Results
The neuroimaging studies of psychopathy can be divided into “structural” studies, which assess brain morphology, and “functional” studies, which assess brain activity (Table 28.1). Structural neuroimaging studies associate psychopathy with a host of morphological brain abnormalities: reduced volumes of the amygdala, (Boccardi et al. 2011; Ermer et al. 2012; Yang et al. 2009, 2010); reduced volume of the basolateral nucleus of the amygdala and increased volumes of the central and lateral nuclei of the amygdala (Boccardi et al. 2011); reduced gray matter volumes in frontal cortex, especially the orbitofrontal cortex, the frontopolar cortex, the anterior rostral prefrontal cortex, and right inferior frontal gyrus (Boccardi et al. 2011; de Oliveira-Souza et al. 2008; Ermer et al. 2012; Gregory et al. 2012; Ly et al. 2012; Muller et al. 2008a; Yang et al. 2005b, 2010, 2011); reduced volume of the dorsal anterior cingulate cortex and bilateral precentral gyri (Ly et al. 2012); reduced volumes in temporal cortex, especially right superior temporal gyrus, anterior temporal cortices, superior temporal sulcus, and bilateral temporal pole (de Oliveira-Souza et al. 2008; Ermer et al. 2012; Gregory et al. 2012; Ly et al. 2012; Muller et al. 2008a; Yang et al. 2011); reduced volume of midline cortical structures (Boccardi et al. 2011); reduced volume of the posterior cingulate cortex (Ermer et al. 2012); increased volume of the striatum (Glenn et al. 2010a); increased volume of the left nucleus accumbens (Pujara et al. 2013); increased volume of the corpus callosum (Raine et al. 2003); reduced volume of posterior hippocampus (Laakso et al. 2001); normal volume but abnormal shape of the hippocampus (Boccardi et al. 2010); reduced volume in parahippocampal regions (Ermer et al. 2012); reduced volume of the insula (de Oliveira-Souza et al. 2008; Gregory et al. 2012; Ly et al. 2012); presence of cavum septum pellucidum (Raine et al. 2010); and reduced structural integrity of the uncinate fasciculus (Craig et al. 2009; Motzkin et al. 2011). Overall these studies link psychopathy with a variety of structural abnormalities within frontal and temporal areas, involving cortical and subcortical gray matter structures as well as white matter pathways. The identified structures play important roles in emotion and social cognition (amygdala, superior temporal cortex, uncinate fasciculus) as well as learning and memory (striatum, hippocampus). But within this broad functional/anatomical grouping of the study results, the available structural imaging data have not yet demonstrated reliable, replicated structural abnormalities in many of the identified brain regions.
Functional imaging studies measure brain activity, either at “rest” or during a particular cognitive task. In psychopathy research, functional imaging studies have typically featured tasks involving social and/or emotional processing, such as fear conditioning (Birbaumer et al. 2005), viewing facial expressions of emotion (Carré et al. 2013; Deeley et al. 2006; Gordon et al. 2004), emotion attribution (Sommer et al. 2010), moral decision-making (Glenn et al. 2009; Harenski et al. 2009, 2010; Pujol et al. 2012), identification of emotionally salient words (Intrator et al. 1997), memory for emotionally salient words (Kiehl et al. 2001), selective attention and emotional processing during an emotion-word Stroop task (Sadeh et al. 2013), viewing emotionally salient scenes (Muller et al. 2003, 2008b), social cooperation (Rilling et al. 2007), anticipation and/or receipt of reward (Bjork et al. 2012; Buckholtz et al. 2010; Carré et al. 2013; Pujara et al. 2013), and punishment administration (Veit et al. 2010). Accordingly, many of these studies focus their analyses on emotion-related regions of interest, such as the amygdala (Birbaumer et al. 2005; Carré et al. 2013; Glenn et al. 2009; Gordon et al. 2004; Kiehl et al. 2001; Rilling et al. 2007). However, the imaging results indicate that psychopathy is associated with abnormal activity in widespread areas of the brain, not just those associated with emotional processing. Reduced activity has been observed in limbic and paralimbic areas, including amygdala (Birbaumer et al. 2005; Carré et al. 2013; Glenn et al. 2009; Kiehl et al. 2001; Rilling et al. 2007), hippocampus and parahippocampal gyri (Kiehl et al. 2001; Muller et al. 2003), anterior and posterior cingulate cortex (Birbaumer et al. 2005; Kiehl et al. 2001; Muller et al. 2003; Rilling et al. 2007), ventral striatum (Kiehl et al. 2001), and insula (Birbaumer et al. 2005). On the other hand, reduced activity has also been observed in association areas within frontal and temporal cortices (Birbaumer et al. 2005; Gordon et al. 2004; Muller et al. 2003, 2008b; Rilling et al. 2007) as well as sensory areas, such as posterior visual cortices (Deeley et al. 2006; Muller et al. 2003) and parietal somatosensory cortex (Birbaumer et al. 2005; Deeley et al. 2006), and motor structures such as cerebellum (Deeley et al. 2006) and primary motor cortex (Deeley et al. 2006). Increased activity has been observed in frontal and temporal cortices (Intrator et al. 1997; Kiehl et al. 2001; Muller et al. 2003), nucleus accumbens (Bjork et al. 2012; Buckholtz et al. 2010), as well as areas of parietal lobe, occipital lobe, cerebellum, cingulate cortex, and amygdala (Muller et al. 2003). Functional imaging studies may also assess the correlated activity, or “functional connectivity,” between various brain regions at rest or during a task. Psychopathy was associated with connectivity among brain regions known as the “default mode network,” which includes the medial prefrontal cortex, posterior cingulate, and the inferior parietal lobule; frontoparietal connectivity; and a visual/posterior cingulate connectivity during an auditory “oddball” task (Juárez et al. 2013). Further, amygdala dysfunction in psychopaths during a task of moral decision-making was associated with reduced functional connectivity between the amygdala and the striatum (Osumi et al. 2012). At rest, psychopaths exhibit a reduction in functional connectivity between the left insula and dorsal ACC, the vmPFC and the amygdala, the vmPFC and medial parietal cortex, and the posterior cingulate cortex and anterior frontal cortical areas (Ly et al. 2012; Motzkin et al. 2011; Pujol et al. 2012). Taken together, these functional imaging data associate psychopathy with abnormal activity in limbic, subcortical, and cortical structures. As such, it is difficult to group the findings in any particular functional domain.
An intriguing observation is that, depending on the experimental context, the same brain area could be reported as either hypo- or hyperactive. For example, amygdala activity was abnormally low during fear conditioning (Birbaumer et al. 2005), moral decision-making (Glenn et al. 2009), social cooperation (Rilling et al. 2007), viewing facial expressions of fear (Carré et al. 2013; Dolan and Fullam 2009), and memory for emotionally salient words (Kiehl et al. 2001) but abnormally high during the viewing of certain emotionally salient scenes (Muller et al. 2003) and facial expressions of anger (Carré et al. 2013). Similarly, ventral striatum activity was abnormally low during memory for emotionally salient words (Kiehl et al. 2001) but abnormally high during reward anticipation (Bjork et al. 2012; Buckholtz et al. 2010). These results suggest that neural processing abnormalities in psychopathy may be significantly context dependent. In other words, there is not yet clear evidence for a particular area being persistently hypo- or hyperactive; the functional activation data associated with psychopathy seem to depend critically on the experimenters’ selection of task and stimuli.
In sum, the structural and functional abnormalities associated with psychopathy are widespread and rather variable, although regions within frontal and temporal lobe appear to be the most commonly identified in both types of study. Given the broad array of imaging results, it is reasonable to ask whether differences in methodology could account for some of the variability in the findings. In the following sections we highlight three methodological issues that could potentially limit the consistency and generalizability of results across the imaging studies.
28.2 Methodological Issues
28.2.1 Two Different Uses of the Term “Psychopathy”
One issue that could contribute to heterogeneity in the psychopathy imaging data concerns the use of the term “psychopathy.” In the neuroimaging literature the term “psychopathy” is commonly used at least two ways. In one usage, “psychopathy” denotes the condition of being a psychopath, implying a categorical designation that corresponds to the early predominant usage of the term in the clinical literature (Cleckley 1941; Karpman 1946; Lykken 1957). In studies employing this usage, the data analysis strategy typically involves between-group comparisons of neuroimaging data (i.e., psychopaths vs. non-psychopaths; see Table 28.1). In the second usage, “psychopathy” denotes the degree of psychopathy. This usage can pertain to a “normal” sample of individuals, such as a community or university student sample, of which few, if any, would actually be diagnosed as psychopaths. In studies employing this usage, the data analysis strategy typically involves correlation or regression analyses between a psychopathy score1 and one or more neuroimaging measures (see Table 28.1). Importantly, the reported brain-behavior associations in this type of correlational analysis may depend substantially (if not entirely) on individuals within the normal range of social behavior. The implicit assumption of this correlational approach is that normal variation in certain social/affective/behavioral traits (as indexed by normal subjects’ self-report scores on psychopathy questionnaires) is associated with variation in the activity of the same brain areas that are dysfunctional in severely psychopathic individuals. Although there are ample clinical and behavioral data suggesting that psychopathic traits do in fact fall along a continuum—with psychopaths representing a quantitatively greater manifestation of the traits rather than a qualitatively distinct category (Edens et al. 2006; Marcus et al. 2004; Walters et al. 2008; Walters et al. 2007)—there is not yet strong evidence to support the assumption that the neurobiological data are similarly continuous.