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Journal of Cognitive Neuroscience

Monthly
160 pp. per issue
8 1/2 x 11, illustrated
Founded: 1989
ISSN 0898-929X
E-ISSN 1530-8898
2008 ISI Impact Factor: 4.867

Journal of Cognitive Neuroscience

January 2005, Vol. 17, No. 1, Pages 51-72
Posted Online March 13, 2006.
(doi:10.1162/0898929052880093)
© 2005 Massachusetts Institute of Technology
Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism

Michael J. Frank

University of Colorado

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Dopamine (DA) depletion in the basal ganglia (BG) of Parkinson's patients gives rise to both frontal-like and implicit learning impairments. Dopaminergic medication alleviates some cognitive deficits but impairs those that depend on intact areas of the BG, apparently due to DA “overdose.” These findings are difficult to accommodate with verbal theories of BG/DA function, owing to complexity of system dynamics: DA dynamically modulates function in the BG, which is itself a modulatory system. This article presents a neural network model that instantiates key biological properties and provides insight into the underlying role of DA in the BG during learning and execution of cognitive tasks. Specifically, the BG modulates the execution of “actions” (e.g., motor responses and working memory updating) being considered in different parts of the frontal cortex. Phasic changes in DA, which occur during error feedback, dynamically modulate the BG threshold for facilitating/suppressing a cortical command in response to particular stimuli. Reduced dynamic range of DA explains Parkinson and DA overdose deficits with a single underlying dysfunction, despite overall differences in raw DA levels. Simulated Parkinsonism and medication effects provide a theoretical basis for behavioral data in probabilistic classification and reversal tasks. The model also provides novel testable predictions for neuropsychological and pharmacological studies, and motivates further investigation of BG/DA interactions with the prefrontal cortex in working memory.

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Daphna Shohamy, Catherine E. Myers, Ramona O. Hopkins, Jake Sage, Mark A. Gluck. (2009) Distinct Hippocampal and Basal Ganglia Contributions to Probabilistic Learning and Reversal. Journal of Cognitive Neuroscience 21:9, 1821-1833
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Thorsten Kahnt, Soyoung Q Park, Michael X Cohen, Anne Beck, Andreas Heinz, Jana Wrase. (2009) Dorsal Striatal–midbrain Connectivity in Humans Predicts How Reinforcements Are Used to Guide Decisions. Journal of Cognitive Neuroscience 21:7, 1332-1345
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Michael X Cohen, Nikolai Axmacher, Doris Lenartz, Christian E. Elger, Volker Sturm, Thomas E. Schlaepfer. (2009) Good Vibrations: Cross-frequency Coupling in the Human Nucleus Accumbens during Reward Processing. Journal of Cognitive Neuroscience 21:5, 875-889
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Randall C. O'Reilly, Michael J. Frank. (2006) Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia. Neural Computation 18:2, 283-328
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