Constraints on decision making: Implications from genetics, personality, and addiction

An influential neurocomputational theory of the biological mechanisms of decision making, the "basal ganglia go/no-go model," holds that individual variability in decision making is determined by differences in the makeup of a striatal system for approach and avoidance learning. The model...

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Main Authors: Baker, T., Stockwell, Tim, Holroyd, C.
Format: Journal Article
Published: 2013
Online Access:http://hdl.handle.net/20.500.11937/30328
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author Baker, T.
Stockwell, Tim
Holroyd, C.
author_facet Baker, T.
Stockwell, Tim
Holroyd, C.
author_sort Baker, T.
building Curtin Institutional Repository
collection Online Access
description An influential neurocomputational theory of the biological mechanisms of decision making, the "basal ganglia go/no-go model," holds that individual variability in decision making is determined by differences in the makeup of a striatal system for approach and avoidance learning. The model has been tested empirically with the probabilistic selection task (PST), which determines whether individuals learn better from positive or negative feedback. In accordance with the model, in the present study we examined whether an individual's ability to learn from positive and negative reinforcement can be predicted by genetic factors related to the midbrain dopamine system. We also asked whether psychiatric and personality factors related to substance dependence and dopamine affect PST performance. Although we found characteristics that predicted individual differences in approach versus avoidance learning, these observations were qualified by additional findings that appear inconsistent with the predictions of the go/no-go model. These results highlight a need for future research to validate the PST as a measure of basal ganglia reward learning.
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spelling curtin-20.500.11937-303282018-03-29T09:08:51Z Constraints on decision making: Implications from genetics, personality, and addiction Baker, T. Stockwell, Tim Holroyd, C. An influential neurocomputational theory of the biological mechanisms of decision making, the "basal ganglia go/no-go model," holds that individual variability in decision making is determined by differences in the makeup of a striatal system for approach and avoidance learning. The model has been tested empirically with the probabilistic selection task (PST), which determines whether individuals learn better from positive or negative feedback. In accordance with the model, in the present study we examined whether an individual's ability to learn from positive and negative reinforcement can be predicted by genetic factors related to the midbrain dopamine system. We also asked whether psychiatric and personality factors related to substance dependence and dopamine affect PST performance. Although we found characteristics that predicted individual differences in approach versus avoidance learning, these observations were qualified by additional findings that appear inconsistent with the predictions of the go/no-go model. These results highlight a need for future research to validate the PST as a measure of basal ganglia reward learning. 2013 Journal Article http://hdl.handle.net/20.500.11937/30328 10.3758/s13415-013-0164-8 restricted
spellingShingle Baker, T.
Stockwell, Tim
Holroyd, C.
Constraints on decision making: Implications from genetics, personality, and addiction
title Constraints on decision making: Implications from genetics, personality, and addiction
title_full Constraints on decision making: Implications from genetics, personality, and addiction
title_fullStr Constraints on decision making: Implications from genetics, personality, and addiction
title_full_unstemmed Constraints on decision making: Implications from genetics, personality, and addiction
title_short Constraints on decision making: Implications from genetics, personality, and addiction
title_sort constraints on decision making: implications from genetics, personality, and addiction
url http://hdl.handle.net/20.500.11937/30328