Deliberation entails the serial examination and evaluation of outcomes. While there are detailed, mechanistic, and quantitative theories of non-deliberative decision-making, such theories of deliberative decision-making are still lacking. This is due to a lack of key experimental knowledge of the mechanisms of deliberation. Deliberative decision-making entails the sequential consideration of possibilities, requiring three steps in a repeated cycle: (1) prediction of the consequences of one's actions, (2) evaluation of those predicted consequences, and (3) selection of the best action. An important difficulty that has limited our ability to study deliberative decision-making is that the process of deliberation is covert, that is, the transient information being considered is not reflected in immediate behavior. However, new mathematical techniques now allow decoding of represented variables from neural ensembles at very fast timescales, enabling the observation of those transient, covert processes. The goal of this proposal is to track the covert prediction of reward outcomes as alternatives are evaluated. We have preliminary data that structures known to be involved in motivation and evaluation (ventral striatum, orbitofrontal cortex) show a transient activation of reward-related activity at certain deliberative decision-points. Combining newly available multi-structure recording techniques, newly developed tasks, newly improved neural ensemble analysis techniques, and computational modeling, we will examine the relationship between the representations of future possibilities in hippocampus and the covert reappearance of reward-related information in structures known to be involved in motivation and reward and decision-making.

Public Health Relevance

The disease model of addiction suggests that addiction is fundamentally a dysfunction of decision-making. As our understanding of decision-making has improved, our understanding of how it can break down has also improved. The goal of this proposal is to improve our understanding of deliberative decision-making which will enable a better understanding of the potential dysfunction that can occur therein.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA030672-03
Application #
8600665
Study Section
Neurobiology of Motivated Behavior Study Section (NMB)
Program Officer
Volman, Susan
Project Start
2012-02-01
Project End
2017-01-31
Budget Start
2014-02-01
Budget End
2015-01-31
Support Year
3
Fiscal Year
2014
Total Cost
$364,300
Indirect Cost
$118,600
Name
University of Minnesota Twin Cities
Department
Neurosciences
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Redish, A David (2016) Vicarious trial and error. Nat Rev Neurosci 17:147-59
Abram, Samantha V; Breton, Yannick-André; Schmidt, Brandy et al. (2016) The Web-Surf Task: A translational model of human decision-making. Cogn Affect Behav Neurosci 16:37-50
Redish, A David; Schultheiss, Nathan W; Carter, Evan C (2016) The Computational Complexity of Valuation and Motivational Forces in Decision-Making Processes. Curr Top Behav Neurosci 27:313-33
Regier, Paul S; Amemiya, Seiichiro; Redish, A David (2015) Hippocampus and subregions of the dorsal striatum respond differently to a behavioral strategy change on a spatial navigation task. J Neurophysiol 114:1399-416
Regier, Paul S; Redish, A David (2015) Contingency Management and Deliberative Decision-Making Processes. Front Psychiatry 6:76
Stott, Jeffrey J; Redish, A David (2015) Representations of Value in the Brain: An Embarrassment of Riches? PLoS Biol 13:e1002174
Redish, A David; Mizumori, Sheri J Y (2015) Memory and decision making. Neurobiol Learn Mem 117:1-3
Stott, Jeffrey J; Redish, A David (2014) A functional difference in information processing between orbitofrontal cortex and ventral striatum during decision-making behaviour. Philos Trans R Soc Lond B Biol Sci 369:
Steiner, Adam P; Redish, A David (2014) Behavioral and neurophysiological correlates of regret in rat decision-making on a neuroeconomic task. Nat Neurosci 17:995-1002
Schmidt, Brandy; Redish, A David (2013) Neuroscience: Navigation with a cognitive map. Nature 497:42-3

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