| Literature DB >> 32429262 |
Shawn E Fagan1, Liat Kofler2, Sarah Riccio3, Yu Gao2,4.
Abstract
In moral dilemma tasks, high levels of psychopathic traits often predict increased utilitarian responding-specifically, endorsing sacrificing one person to save many. Research suggests that increased arousal (i.e., somatic marker production) underlies lower rates of utilitarian responding during moral dilemmas. Though deficient somatic marker production is characteristic of psychopathy, how this deficit affects the psychopathy-utilitarian connection remains unknown. We assessed psychopathic traits in undergraduates, as well as behavioral performance and skin conductance level reactivity (SCL-R; a measure of somatic marker production) during a moral dilemma task. High psychopathic traits and low SCL-R were associated with increased utilitarian decisions in dilemmas involving direct personal harm. Psychopathic traits were unrelated to SCL-R, nor did SCL-R mediate the relationship between psychopathy and utilitarianism. The present study did not find evidence that somatic marker production explains the connection between utilitarianism and psychopathy in a college population. Further research is necessary to identify the neural mechanisms relating psychopathy and moral decision-making in nonclinical samples.Entities:
Keywords: harm aversion; moral decision-making; psychopathy; somatic marker hypothesis; utilitarianism
Year: 2020 PMID: 32429262 PMCID: PMC7288014 DOI: 10.3390/brainsci10050303
Source DB: PubMed Journal: Brain Sci ISSN: 2076-3425
Figure 1Sensory inputs enter the brain through the brainstem and are processed in the insula and somatosensory cortex. This information feeds forward into the ventromedial prefrontal cortex followed by the amygdala, which is involved in fear processing. Information feeds forward from the amygdala through the brainstem to autonomic centers resulting in increased arousal (like heart rate or skin conductance). The ventromedial prefrontal cortex (vmPFC) carries projections back to the somatosensory cortex and activates representations of sensory events, creating a hypothetical “as if” loop, in which a certain decision or event that has previously caused an unpleasant physiological response will activate effector structures via the vmPFC-amygdala pathway and recreate the unpleasant physiological response in the individual. Thus, as learning increases, anticipatory bodily responses start to precede decisions that might yield unpleasant outcomes. Modified from Bechara and Damasio (2005) [14].
Figure 2Contingency learning occurs when repeated exposure to a negative stimulus (top pathway) consistently results in an unpleasant physiological response (i.e., doing X makes me feel bad or causes pain). The increase in physiological response is proportionately related to increased learning. For those with high levels of psychopathic traits (bottom path), repeated exposure to a negative event (e.g., personally harming another person) fails to trigger a strong, unpleasant physiological response, purportedly due to insufficient autonomic arousal. Therefore, negative reinforcement of the negative event is not engaged, resulting in undeterred approach behavior.
Descriptive Statistics and Correlations Among Main Variables.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sex | 1 | |||||||||||
| 2 | LSRP Total | −0.236 * | 1 | ||||||||||
| 3 | LSRP Primary | −0.276 ** | 0.883 ** | 1 | |||||||||
| 4 | LSRP Secondary | −0.048 | 0.676 ** | 0.251 * | 1 | ||||||||
| 5 | SCL-R Neutral | −0.14 | −0.05 | −0.065 | 0.008 | 1 | |||||||
| 6 | SCL-R Impersonal | 0.145 | −0.05 | −0.129 | 0.096 | 0.291 ** | 1 | ||||||
| 7 | SCL-R Personal | −0.08 | −0.05 | −0.086 | 0.024 | 0.351 ** | 0.266 ** | 1 | |||||
| 8 | SCL-R Moral | 0.039 | −0.07 | −0.136 | 0.075 | 0.404 ** | 0.788 ** | 0.804 ** | 1 | ||||
| 9 | Yes Neutral | −0.065 | 0.054 | −0.022 | 0.146 | 0.077 | 0.034 | −0.025 | 0.005 | 1 | |||
| 10 | Yes Impersonal | −0.021 | 0.239 * | 0.223 * | 0.142 | 0.186 | 0.039 | 0.074 | 0.071 | 0.016 | 1 | ||
| 11 | Yes Personal | 0.077 | 0.197 † | 0.312 ** | −0.085 | −0.15 | −0.09 | −0.266 ** | −0.225 * | −0.229 * | 0.204 * | 1 | |
| 12 | Yes Moral | 0.05 | 0.269 ** | 0.352 ** | 0 | −0.03 | −0.05 | −0.171 | −0.14 | −0.17 | 0.637 ** | 0.884 ** | 1 |
| Mean | 1.71 | 50.2 | 29.51 | 20.69 | −0.35 | −0.19 | −0.29 | −0.24 | 0.8 | 0.39 | 0.51 | 0.45 | |
| SD | 0.46 | 9.16 | 6.97 | 4.44 | 0.47 | 0.32 | 0.33 | 0.26 | 0.15 | 0.17 | 0.28 | 0.18 | |
| Minimum | 1 | 29 | 18 | 10 | −2.06 | −1.33 | −1.35 | −1.11 | 0.4 | 0 | 0 | 0.1 | |
| Maximum | 2 | 71 | 47 | 32 | 0.57 | 0.41 | 0.37 | 0.26 | 1 | 0.8 | 1 | 0.8 |
† Correlation is significant at the 0.10 level (2-tailed); * Correlation is significant at the 0.05 level (2-tailed); ** Correlation is significant at the 0.01 level (2-tailed); LSRP = Levenson Self-Report Psychopathy scale; SCL-R = skin conductance reactivity during contemplation period of moral dilemma task; correlations in boldface type between behavioral, demographic, and physiological measures represent significant relationships between experimentally related variables (e.g., the correlation between skin conductance reactivity during personal moral dilemmas and the rate of harm endorsement during personal moral dilemmas).
The effect of skin conductance level reactivity on the relationship between psychopathic traits and utilitarian response rates.
| Hypothesized Mediator (M) | Independent Variable (IV) Effect on | Association of M with Outcome Variable (b) | Direct Effect of IV on M (c’) | Indirect Effect | Proportion Mediated | BF10 | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Independent variable | Estimate | 95% CI | Estimate | 95% CI | Estimate | 95% CI | Estimate | 95% CI | % | |
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| Primary psychopathy | −0.0061 | (−0.0158, 0.0039) | 0.0355 | (−0.0786, 0.1492) | 0.0061 | (0.0007, 0.0113)* | −0.0002 | (−0.0014, 0.0006) | −2.04% | 0.079 |
| Secondary psychopathy | 0.0076 | (−0.0081, 0.0234) | 0.0119 | (−0.0977, 0.1245) | 0.0056 | (−0.0026, 0.0139) | 0.0001 | (−0.0012, 0.0014) | 0.33% | 0.149 |
| Total psychopathy | −0.0016 | (−0.0091, 0.0061) | 0.0246 | (−0.0872, 0.1362) | 0.0047 | (0.0007, 0.0086)* | 0.0000 | (−0.0007, 0.0005) | −0.22% | 0.082 |
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| Primary psychopathy | −0.0051 | (−0.0132, 0.0031) | −0.0576 | (−0.1979, 0.0832) | 0.0091 | (0.0036, 0.0143)* | 0.0003 | (−0.0006, 0.0016) | 1.92% | 0.117 |
| Secondary psychopathy | 0.0050 | (−0.0070, 0.0171) | −0.0905 | (−0.2443, 0.0568) | 0.0007 | (−0.0077, 0.0094) | −0.0005 | (−0.0025, 0.0009) | −94.07% | 0.917 |
| Total psychopathy | −0.0016 | (−0.0078, 0.0046) | −0.0795 | (−0.2163, 0.0617) | 0.0052 | (0.0013, 0.0092)* | 0.0001 | (−0.0005, 0.0010) | 1.16% | 0.117 |
Note: CI = Credible intervals; BF10 = Bayes Factor; asterisks denote credible intervals where there is a 95% probability that the true value of the regression parameter estimate does not include 0, indicating that the predictor statistically influenced the outcome measure. Negative percentages in the Proportion Mediated column indicate that the indirect and direct effects had opposite directions and are not meaningful values. Bolded rows show Bayesian estimates from hypothesized models.