Decision making in humans: the effect of manipulating the central noradrenergic system.
J NEUROL NEUROSUR PS
376 - 378.
Objectives: Damasio has proposed an influential model of human decision making - the Somatic Marker Hypothesis (SMH), where he argues that somatic feedback to the brain influences decision making in humans. It is proposed that when choosing between options that differ in relative risk, a somatic marker (for example, a "gut feeling") feeds back to the brain and influences cognitive appraisal. This study tested the hypothesis that the noradrenergic system may play a part in this afferent feedback process.Methods: Thirty healthy young adults were randomly allocated to receive placebo, 4 mg, or 8 mg reboxetine ( a new selective noradrenergic reuptake inhibitor that acts to increase central noradrenergic activity). It is hypothesised that enhancement of central noradrenergic activity may amplify the effect of afferent feedback, and lead to altered decision making. All subjects completed the Iowa Gambling Task (IGT), a computerised card playing game where the player is instructed to try and win as much money as possible over 100 selections from one of four decks.Results: There were no significant differences between the three groups in gambling task performance.Conclusions: This result suggests that central noradrenergic activity may not be critically involved in the afferent feedback mechanism that is central to the somatic marker hypothesis.
|Title:||Decision making in humans: the effect of manipulating the central noradrenergic system|
|Open access status:||An open access version is available from UCL Discovery|
|Keywords:||PREFRONTAL CORTEX, DAMAGE, REBOXETINE|
|UCL classification:||UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Psychology and Language Sciences (Division of) > Institute of Cognitive Neuroscience
UCL > School of Life and Medical Sciences > Faculty of Life Sciences
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