Uncertainty has a major impact on emotional well-being. Its manifestations within psychiatric disorders are profound and range from the miscalculations of drug abuse to the ruminations of depression. Although most everyone can appreciate that uncertainty causes anxiety in normal individuals, the precise biological mechanisms by which this occurs is not known. Recent political and economic events have made it clear that we live in an unpredictable and uncertain era. The psychological effects of chronic uncertainty are powerful, and the broad aim of this proposal is to understand the neurobiological substrates of uncertainty. Using functional magnetic resonance imaging (fMRI), we propose to elucidate the brain circuitry associated with several aspects of uncertainty. We will use an objective framework for quantifying the amount of uncertainty in a particular circumstance and use several forms of Pavlovian conditioning to measure how uncertainty interacts with the brain's response. In general, we define three aspects of uncertainty: 1) uncertainty for """"""""when""""""""; 2) uncertainty for """"""""what""""""""; and 3) and higher-order (secondary) interactions. We will perform a series of simple classical conditioning experiments on healthy volunteers while they undergo fMRI scanning. We will focus on the activity in the striatal-amygdalar-hippocampal circuit, as these regions have been shown to be necessary for different forms of associative learning. More importantly, the specific roles of these structures in emotional processing are not clear, but our hypothesis is that they code the degree of uncertainty in a context-specific fashion. We will test this hypothesis with a series of 12 fMRI experiments using both pleasant and aversive stimuli. We will use variants of Pavlovian conditioning to associate pleasant oral stimuli (fruit juice) or unpleasant ones (quinine water) with different neutral cues. By varying both the predictability of temporal (when) and stimulus (what) pairings, we will be able to measure how uncertainty modulates the brain's response to this basic learning process. We hypothesize that both the amygdala and ventral striatum will be more active when uncertainty of any form is present. We will further quantify the level of this activation with autonomic measures of arousal. Finally we will investigate how these effects generalize to secondary associations. Ultimately we anticipate that this will suggest new therapies that can be targeted towards the effects of both acute and chronic uncertainty.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA016434-04
Application #
7061303
Study Section
Special Emphasis Panel (ZRG1-IFCN-5 (05))
Program Officer
Gordon, Harold
Project Start
2003-08-01
Project End
2008-04-30
Budget Start
2006-05-01
Budget End
2007-04-30
Support Year
4
Fiscal Year
2006
Total Cost
$296,856
Indirect Cost
Name
Emory University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Capra, C Monica; Jiang, Bing; Engelmann, Jan B et al. (2013) Can Personality Type Explain Heterogeneity in Probability Distortions? J Neurosci Psychol Econ 6:151-166
Brooks, Andrew M; Capra, C Monica; Berns, Gregory S (2012) Neural insensitivity to upticks in value is associated with the disposition effect. Neuroimage 59:4086-93
Engelmann, Jan B; Moore, Sara; Monica Capra, C et al. (2012) Differential neurobiological effects of expert advice on risky choice in adolescents and adults. Soc Cogn Affect Neurosci 7:557-67
Berns, Gregory S; Bell, Emily (2012) Striatal topography of probability and magnitude information for decisions under uncertainty. Neuroimage 59:3166-72
Brooks, Andrew M; Pammi, V S Chandrasekhar; Noussair, Charles et al. (2010) From bad to worse: striatal coding of the relative value of painful decisions. Front Neurosci 4:176
Ariely, Dan; Berns, Gregory S (2010) Neuromarketing: the hope and hype of neuroimaging in business. Nat Rev Neurosci 11:284-92
Berns, Gregory S; Capra, C Monica; Moore, Sara et al. (2010) Neural mechanisms of the influence of popularity on adolescent ratings of music. Neuroimage 49:2687-96
Berns, Gregory S; Moore, Sara; Capra, C Monica (2009) Adolescent engagement in dangerous behaviors is associated with increased white matter maturity of frontal cortex. PLoS One 4:e6773
Engelmann, Jan B; Capra, C Monica; Noussair, Charles et al. (2009) Expert financial advice neurobiologically ""Offloads"" financial decision-making under risk. PLoS One 4:e4957
Berns, Gregory S; Capra, C Monica; Chappelow, Jonathan et al. (2008) Nonlinear neurobiological probability weighting functions for aversive outcomes. Neuroimage 39:2047-57

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