Probability of punishment and suppression of behavior in psychopathic and nonpsychopathic offenders.

Siegel, Richard A.

doi:10.1037/0021-843x.87.5.514

Cited by 147 publications

(60 citation statements)

References 11 publications

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“…Whether Raine and colleagues identified compensatory mechanisms for sustained attention task performance or the actual network underlying antisocial behavior is a different question. Second, we have recently noted a similar phenomenon when we studied performance on the one-deck card-playing task (considered to be a reversal task; Siegel, 1978). In this task, an incentive to turn cards is initially frequently rewarded.…”

Section: Methodological Issues In Neurocognitive Studies Of Antisociamentioning

confidence: 70%

Neurocognitive elements of antisocial behavior: Relevance of an orbitofrontal cortex account

Séguin

2004

Brain and Cognition

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This paper reviews the role of orbitofrontal cortex (OFC) lesions in antisocial behaviors and the adequacy of a strict OFC account of antisocial disorders where there is no evidence of lesion. Neurocognitive accounts of antisocial behaviors are extended beyond the OFC. Several methodological shortcomings specific to this neuroscience approach to antisocial behavior are identified. A developmental approach is advocated to chart the developmental sequences of impaired brain development and of the various comorbid states typically seen in antisocial disorders.

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Section: Methodological Issues In Neurocognitive Studies Of Antisociamentioning

confidence: 70%

Neurocognitive elements of antisocial behavior: Relevance of an orbitofrontal cortex account

Séguin

2004

Brain and Cognition

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“…The same task was more recently shown to predict children's risky behavior in a naturalistic traffic situation (Hoffrage, Weber, Hertwig, & Chase, 2003). Other tasks have used the same basic idea of dynamic increases in riskiness over time, such as a task used to investigate risk taking in psychopaths (Siegel, 1978), the Balloon Analogue Risk Task (BART; Lejuez et al, 2002), and its variant, the Angling Risk Task (Pleskac, 2008). Although the BART and the CCT share several characteristics, there are also some important differences: In contrast to the BART, in the CCT probabilities do not have to be learned but are explicitly stated.…”

Section: Comparison Of Cct To Other Risky Decision-making Tasksmentioning

confidence: 99%

Affective and deliberative processes in risky choice: Age differences in risk taking in the Columbia Card Task.

Figner¹,

Mackinlay²,

Wilkening³

et al. 2009

Journal of Experimental Psychology: Learning, Memory, and Cogni

485

395

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The authors investigated risk taking and underlying information use in 13-to 16-and 17-to 19-year-old adolescents and in adults in 4 experiments, using a novel dynamic risk-taking task, the Columbia Card Task (CCT). The authors investigated risk taking under differential involvement of affective versus deliberative processes with 2 versions of the CCT, constituting the most direct test of a dual-system explanation of adolescent risk taking in the literature so far. The "hot" CCT was designed to trigger more affective decision making, whereas the "cold" CCT was designed to trigger more deliberative decision making. Differential involvement of affective versus deliberative processes in the 2 CCT versions was established by self-reports and assessment of electrodermal activity. Increased adolescent risk taking, coupled with simplified information use, was found in the hot but not the cold condition. Need-forarousal predicted risk taking only in the hot condition, whereas executive functions predicted information use in the cold condition. Results are consistent with recent dual-system explanations of risk taking as the result of competition between affective processes and deliberative cognitive-control processes, with adolescents' affective system tending to override the deliberative system in states of heightened emotional arousal.Keywords: risk taking, adolescence, affective and deliberative decision making, dual system, cognitive control Supplemental materials: http://dx.doi.org/10.1037/a0014983.supp Everyday risk taking shows a typical developmental trajectory. Comparatively low during childhood, risk taking increases when individuals reach puberty, peaks in adolescence and early adulthood, and decreases again during adulthood. This age pattern has been documented in different risk-taking behaviors, such as the use of licit and illicit substances, dangerous behavior in traffic, unsafe sexual practices, delinquent behaviors, and risky recreational sports

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“…Using a within-subject, cross-over, placebo-controlled design, Hamidovic et al (2008) tested the effects of two relatively low doses of pramipexole (0.25 and 0.50 mg) against placebo on the performance of a number of tasks purported to tap, among other things, behavioral inhibition (Newman et al, 1985), response perseveration (Siegel, 1978), risk taking (Lejuez et al, 2002), and impulsivity (as delay discounting) (Richards et al, 1999). Pramipexole significantly reduced positive affect compared with placebo and increased sedation; however, neither dose significantly altered performance of any task compared with placebo.…”

Section: The Role Of Distinct Dopamine Receptor Systems In Decision Mmentioning

confidence: 99%

The Roles of Dopamine and Serotonin in Decision Making: Evidence from Pharmacological Experiments in Humans

Rogers

2010

Neuropsychopharmacol

195

130

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Neurophysiological experiments in primates, alongside neuropsychological and functional magnetic resonance investigations in humans, have significantly enhanced our understanding of the neural architecture of decision making. In this review, I consider the more limited database of experiments that have investigated how dopamine and serotonin activity influences the choices of human adults. These include those experiments that have involved the administration of drugs to healthy controls, experiments that have tested genotypic influences upon dopamine and serotonin function, and, finally, some of those experiments that have examined the effects of drugs on the decision making of clinical samples. Pharmacological experiments in humans are few in number and face considerable methodological challenges in terms of drug specificity, uncertainties about pre-vs post-synaptic modes of action, and interactions with baseline cognitive performance. However, the available data are broadly consistent with current computational models of dopamine function in decision making and highlight the dissociable roles of dopamine receptor systems in the learning about outcomes that underpins value-based decision making. Moreover, genotypic influences on (interacting) prefrontal and striatal dopamine activity are associated with changes in choice behavior that might be relevant to understanding exploratory behaviors and vulnerability to addictive disorders. Manipulations of serotonin in laboratory tests of decision making in human participants have provided less consistent results, but the information gathered to date indicates a role for serotonin in learning about bad decision outcomes, non-normative aspects of risk-seeking behavior, and social choices involving affiliation and notions of fairness. Finally, I suggest that the role played by serotonin in the regulation of cognitive biases, and representation of context in learning, point toward a role in the cortically mediated cognitive appraisal of reinforcers when selecting between actions, potentially accounting for its influence upon the processing salient aversive outcomes and social choice.

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Probability of punishment and suppression of behavior in psychopathic and nonpsychopathic offenders.

Cited by 147 publications

References 11 publications

Neurocognitive elements of antisocial behavior: Relevance of an orbitofrontal cortex account

Neurocognitive elements of antisocial behavior: Relevance of an orbitofrontal cortex account

Affective and deliberative processes in risky choice: Age differences in risk taking in the Columbia Card Task.

The Roles of Dopamine and Serotonin in Decision Making: Evidence from Pharmacological Experiments in Humans

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