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Electrophysiological indices of feedback processing

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dc.contributor.advisor Saucier, Deborah M
dc.contributor.advisor Tata, Matthew S
dc.contributor.author Christie, Gregory J
dc.contributor.author University of Lethbridge. Faculty of Arts and Science
dc.date.accessioned 2011-11-03T16:56:18Z
dc.date.available 2011-11-03T16:56:18Z
dc.date.issued 2010
dc.identifier.uri http://hdl.handle.net/10133/2551
dc.description xii, 76 leaves : ill. (chiefly col.) ; 29 cm en_US
dc.description.abstract All sentient organisms use contextual information to assess the amount of reward associated with a particular behavior. Human beings have arguably evolved the most sophisticated of these mechanisms and are capable of integrating information over a long duration of time to accurately assess the expected outcome of a chosen action. This thesis used electroencephalography (EEG) to measure how the human brain processes rewarding and punishing feedback in a gambling-type game with variable risk and reward. Experiment 1 determined that phase-locked (evoked) and non-phase-locked (induced) electroencephalographic activity share only partially overlapping generators in human mediofrontal cortex. Experiment 2 determined that the magnitude of certain evoked EEG components during reward processing tracked subsequent changes in bets placed in the next round. These results extend the body of literature by assessing the overlap between induced and evoked EEG components and the role of evoked activity in affecting future decision making. en_US
dc.language.iso en_US en_US
dc.publisher Lethbridge, Alta. : University of Lethbridge, Dept. of Neuroscience, 2010 en_US
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en_US
dc.subject Motivation (Psychology) -- Physiological aspects en_US
dc.subject Reward (Psychology) en_US
dc.subject Feedback (Psychology) en_US
dc.subject Electroencephalography en_US
dc.subject Decision making en_US
dc.subject Dissertations, Academic en_US
dc.title Electrophysiological indices of feedback processing en_US
dc.type Thesis en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Neuroscience en_US

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