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The role of rat prefrontal cortex in risk-dependent choice
Prefrontal cortex subareas
Decisions making under uncertainty
|Issue Date: ||2019-07-01 10:59:58 (UTC+8)|
Prefrontal cortex (PFC) is suggested to be important in decision making under uncertainty, but the specific contribution of PFC subregions to risk-based decision making remains elusive. This study thus evaluated the lesion effects of lateral orbitofrontal cortex (lOFC) and medial PFC (mPFC) on risk choice behavior. A rat T-maze risk choice task was used where the subject would choose enter either a small and certain reward arm of the maze or a large but uncertain reward arm of the maze. This task was specifically set up to run with the expected value being equal (i.e., EV = 1) between the binary choice options which tests were carried out with three reward ratios representing different levels of risk, correspondingly notated as high, medium, and low. The rats were randomly assigned by following between-subject design in receiving excitotoxic lesion of lOFC or mPFC and sham controls prior to behavioral tests given by three reward ratios. For the results, the sham control rats acquired dissociable patterns of risk choice as depended on different risk levels; that is, risk-prone and risk-averse patterns respectively appeared in low-risk and high-risk conditions, whereas an intermediate choice style was shown in the medium-risk condition. The lOFC lesion significantly interfered with the risk choice behavior by shifting the choice toward a risk-prone style. In contrast, the mPFC lesion did not alter choice behavior given in any of three risk levels. The behavioral alterations in rats with lOFC lesion were not the result of motor deficit, anxiety-like response, or incapability to discriminate reward magnitudes from a large to a small one. Together, these findings highlight differential involvements of lOFC and mPFC in risk decision making and further suggest that the lOFC contributes to the acquisition of risk-dependent choice behavior given at a particular level of risk based on reward magnitude and probability.
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|Source URI: ||http://thesis.lib.nccu.edu.tw/record/#G0105754001|
|Data Type: ||thesis|
|Appears in Collections:||[神經科學研究所 ] 學位論文|
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