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PMID: 16945502 Published · ppublish English Comparative Study Journal Article

Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making.

Frank MJ

Abstract

The basal ganglia (BG) coordinate decision making processes by facilitating adaptive frontal motor commands while suppressing others. In previous work, neural network simulations accounted for response selection deficits associated with BG dopamine depletion in Parkinson's disease. Novel predictions from this model have been subsequently confirmed in Parkinson patients and in healthy participants under pharmacological challenge. Nevertheless, one clear limitation of that model is in its omission of the subthalamic nucleus (STN), a key BG structure that participates in both motor and cognitive processes. The present model incorporates the STN and shows that by modulating when a response is executed, the STN reduces premature responding and therefore has substantial effects on which response is ultimately selected, particularly when there are multiple competing responses. Increased cortical response conflict leads to dynamic adjustments in response thresholds via cortico-subthalamic-pallidal pathways. The model accurately captures the dynamics of activity in various BG areas during response selection. Simulated dopamine depletion results in emergent oscillatory activity in BG structures, which has been linked with Parkinson's tremor. Finally, the model accounts for the beneficial effects of STN lesions on these oscillations, but suggests that this benefit may come at the expense of impaired decision making.

MeSH Terms
Action Potentials/physiology Animals Basal Ganglia/physiology Biological Clocks Computer Simulation Decision Making/physiology Humans Neural Networks, Computer Neural Pathways/physiology Neurons/physiology Nonlinear Dynamics Reaction Time/physiology Subthalamic Nucleus/cytology,physiology
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Frank Michael J
Department of Psychology, Program in Neuroscience, University of Arizona, Tucson, AZ 85721, USA. mfrank@u.arizona.edu
Article Info
Journal
Neural networks : the official journal of the International Neural Network Society
Abbr.
Neural Netw
ISSN
0893-6080
Published
2006-10-00
Epub
2006-00-01
Pages
1120-36
Language
English
Region
United States
NLM ID
8805018
Subset
IM
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