The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Understanding decision-making deficits in neurological conditions: insights from models of natural action selection
Open accessAbstract
Models of natural action selection implicate fronto-striatal circuits in both motor and cognitive ‘actions’. Dysfunction of these circuits leads to decision-making deficits in various populations. We review how computational models provide insights into the mechanistic basis for these deficits in Parkinson's patients and those with ventromedial frontal damage. We then consider implications of the models for understanding behaviour and cognition in attention-deficit/hyperactivity disorder (ADHD). Incorporation of cortical noradrenaline function into the model improves action selection in noisy environments and accounts for response variability in ADHD. We close with more general clinical implications.
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Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
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Separate neural systems value immediate and delayed monetary rewards
McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1100907 · Cited by 3,089
Molecular genetics of attention-deficit/hyperactivity disorder
Faraone, S. V., Perlis, R. H., Doyle, A. E., Smoller, J. W., Goralnick, J. J., Holmgren, M. A., & Sklar, P. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.024 · Cited by 2,357
Simplified neuron model as a principal component analyzer
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Cited by
Active inference: a process theory
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017) · Neural Computation · doi:10.1162/neco_a_00912 · Cited by 1,156
Cortical mechanisms of action selection: the affordance competition hypothesis
Cisek, P. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2054 · Cited by 1,083
Active interoceptive inference and the emotional brain
Seth, A. K., & Friston, K. J. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0007 · Cited by 945
From reinforcement learning models to psychiatric and neurological disorders
Maia, T. V., & Frank, M. J. (2011) · Nature Neuroscience · doi:10.1038/nn.2723 · Cited by 722
Self-citationFriston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., O⿿Doherty, J., & Pezzulo, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.022 · Cited by 674
Metadata
- Authors
- Frank, M. J., Scheres, A., & Sherman, S. J.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2007-04-11
- Volume
- 362
- Issue
- 1485
- Pages
- 1641-1654
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- OpenAlex
- W2062652125
- Cited by
- 166
- References
- 36
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
