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A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing Cover

A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing

Open Access
|Oct 2018

Figures & Tables

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Figure 1. 

Schematic representation of the hierarchical structure of personality pathology. Two superordinate factors, called Internalizing and Externalizing, emerge from a general personality factor. Below this level there are three intermediate factors, for Internalizing splits into two lower-order factors labeled Detachment and Negative Affectivity whereas Externalizing maintains its structure. This three factor solution can then be decomposed into the five factors of Negative Affectivity, Detachment, Antagonism, Disinhibition and Psychoticism, each containing the lower-order trait facets that load on their respective trait domains. Psychoticism has complex links to the superordinate factors and this relationship is currently under investigation. Figure based on Wright et al. (2012).

Table 1. 

Comprehensive Assessment of Psychopathic Personality (CAPP) traits and domains

Domain Traits
SelfSelf-centered
Self-aggrandizing
Sense of uniqueness
Sense of entitlement
Sense of invulnerability
Self-justifying
Unstable self-concept
 
EmotionalLacks anxiety
Lacks pleasure
Lacks emotional depth
Lacks emotional stability
Lacks remorse
 
DominanceAntagonistic
Domineering
Deceitful
Manipulative
Insincere
Garrulous
 
AttachmentDetached
Uncommitted
Unempathic
Uncaring
 
BehavioralLacks perseverance
Unreliable
Reckless
Restless
Disruptive
Aggressive
 
CognitiveSuspicious
Lacks concentration
Intolerant
Inflexible
Lacks planfulness
Table 2. 

Early maladaptive schemas and schema domains

Basic emotional need Schema domain Early maladaptive schemas
1. Secure attachments to othersDisconnection and rejection1. Abandonment/instability
2. Mistrust/abuse
3. Emotional deprivation
4. Defectiveness/shame
5. Social isolation/alienation
2. Autonomy, competence and sense of identityImpaired autonomy and performance6. Dependence/incompetence
7. Vulnerability to harm or illness
8. Enmeshment/undeveloped self
9. Failure
3. Realistic limits and self-controlImpaired limits10. Entitlement/grandiosity
11. Insufficient self-control/self-discipline
4. Freedom to express valid needs and emotionsOther-directedness12. Subjugation
13. Self-sacrifice
14. Approval-seeking/recognition seeking
5. Spontaneity and playOver-vigilance and inhibition15. Negativity/pessimism
16. Emotional inhibition
17. Unrelenting standards/hypercriticalness
18. Punitiveness
Table 3. 

Schema modes

Modes Schemas
Child modes: Involve feeling, thinking, and acting in a “childlike” manner1. Vulnerable child (abandoned, abused, or humiliated child)
2. Angry child
3. Impulsive, undisciplined child
4. Lonely child
 
Dysfunctional coping modes: Involve attempts to protect the self from pain through maladaptive forms of coping5. Detached protector
6. Detached self-soother/self-stimulator
7. Compliant surrenderer
8. Angry protector a
 
Maladaptive parent modes: Involve internalized dysfunctional parent “voices”9. Punitive, critical parent
10. Demanding parent
 
Over-compensatory modes: Involve extreme attempts to compensate for feelings of shame, loneliness, or vulnerability11. Self-aggrandizer mode
12. Bully and attack mode
13. Conning and manipulative mode a
14. Predator mode a
15. Over-controller mode (paranoid and obsessive-compulsive types) a

a New Schema Mode added by Bernstein et al. (2007).

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Figure 2. 

Schematic of a predictive coding network and the role of precision in Bayesian inference. See main text for details.

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Figure 3. 

Bayesian model of lacks remorse and self-aggrandizing. See main text for details.

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Figure 4. 

Schematic overview of the generative model used to simulate a simple reputation game. This model is shown in graphical form, where the circles correspond to different states (and outcomes) that a subject can be in (and observe). The red arrows correspond to the mapping between latent or hidden states and their observable consequences. This is the likelihood matrix (A) shown on the right. Transitions among these states are encoded by blue arrows (solid for donate and broken for keep). The corresponding probability transition (B) matrices are shown on the right. Finally, the preferences for outcomes are encoded in a (C) matrix. These preferences are specified in terms of log prior probabilities. In this model, α and β can be regarded as encoding the precision of sensory evidence and prior beliefs, respectively.

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Figure 5. 

This figure shows the effects of changing the likelihood precision (α) and transition precision (β) during a simulation of 16 choices starting from a prior expectation about being moneyless but nice. This has been performed for synthetic subjects with different combinations of α and β. These effects are shown in terms of the posterior expectation about being charitable (left image) and the overall amount of wealth retained (right image). Although self-worth is generally lower for parameters that lead to greater wealth accumulation, the synthetic agents with very low α and high β (upper left corner of each plot) appear to have a higher posterior expectation of self-worth despite uncharitable behaviors. The developmental trajectory of a hypothetical patient with psychopathic traits is shown in red. Starting in the (altruistic) lower right corner, α initially decreases, uncoupling external sources of approval from beliefs about self. This trajectory leads to behaviors that yield greater monetary profit, but a lower self-worth. By subsequently increasing β, the influence of decisions on self-worth is diminished, uncoupling decisions from beliefs and resulting in uncharitable behavior that does not unduly compromise self-worth.

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Figure 6. 

A neurobiological implementation of the Bayesian model of lacks remorse and self-aggrandizing. The internal working model (IWM) of the self consists of semantic, episodic, and autobiographical memory representations stored in the TP/MTL. Self-related sensory information from the external environment and social interactions are interpreted through the representations of the IWM of the self. The amygdala provides a basic signal of affective significance to the self-related sensory/mnemonic information stored in the TP/MTL. The amygdala thus encodes affective and interoceptive expectations that contextualize this information. The self-related information in the TP/MTL is transmitted to the vmPFC along the uncinate fasciculus. The vmPFC integrates these signals with ascending prediction errors from the amygdala to update an integrated representation of the expected value of the self-related information it is receiving. The vmPFC self-representation may then modulate hypothalamic and PAG activity to elicit basic physiological responses (e.g., via autonomic reflexes). Reduced amygdala–vmPFC connectivity leads to lacks remorse, attenuating the negative affective and interoceptive information transmitted along the uncinate fasciculus. Self-aggrandizing reflects the augmentation of positive self-related information in response to the reduced vmPFC–ventral striatum connectivity, which impairs the integration of self-representations with signals of positive affect and reward mediated by the ventral striatum. See main text for details. TP = temporal pole; MTL = medial temporal lobe; PAG = periaqueductal gray; vmPFC = ventromedial prefrontal cortex.

Language: English
Submitted on: Jul 2, 2017
Accepted on: Apr 27, 2018
Published on: Oct 1, 2018
Published by: MIT Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Aaron Prosser, Karl J. Friston, Nathan Bakker, Thomas Parr, published by MIT Press
This work is licensed under the Creative Commons Attribution 4.0 License.