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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010235987 | QP395 H36 2009 | Open Access Book | Book | Searching... |
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Summary
Summary
This book addresses a fundamental question about the nature of behavior: how does the brain process reward and makes decisions when facing multiple options? The book presents the most recent and compelling lesion, neuroimaging, electrophysiological and computational studies, in combination with hormonal and genetic studies, which have led to a clearer understanding of neural mechanisms behind reward and decision making. The neural bases of reward and decision making processes are of great interest to scientists because of the fundamental role of reward in a number of behavioral processes (such as motivation, learning and cognition) and because of their theoretical and clinical implications for understanding dysfunctions of the dopaminergic system in several neurological and psychiatric disorders (schizophrenia, Parkinson's disease, drug addiction, pathological gambling, ...)
Author Notes
Dr Jean-Claude Dreher (research director, CNRS, http://dreherteam.cnc.isc.cnrs.fr/en/). Dr Dreher is the director of the Neuroeconomics, Reward and Decision making team at the 'Centre de Neurosciences Cognitives' (Lyon, France). He studied Mathematics, psychopathology and Cognitive Neuroscience in Paris. The general approach of his research group is to characterize the brain mechanisms underlying motivation and decision making in healthy subjects and to study neurological and psychiatric disorders in which these mechanisms are dysfunctional. He received two Fellow Awards for Research Excellence at the NIH. He is the author of around 40 research papers and the editor of the 'Handbook of Reward and Decision Making' (Academic PRess, Elsevier, 2009). His research has been highlighted in major scientific journals (Nature Reviews Neuroscience, PNAS, TiCS) and featured in a international media (newspapers, radio and TV programs).
Table of Contents
Preface | p. ix |
List of contributors | p. xiii |
Part 1 Monkey Anatomical and Electrophysiological Studies on Reward and Decision making | p. 1 |
1 Anatomy and connectivity of the reward circuit | p. 3 |
2 Electrophysiological correlates of reward processing in dopamine neurons | p. 29 |
3 The ventral striatum: a heterogeneous structure involved in reward processing, motivation and decision-making | p. 51 |
4 Role of the primate lateral prefrontal cortex in integrating decision-making and motivational information | p. 79 |
5 From reward value to decision-making: neuronal and computational principles | p. 97 |
Part 2 fMRI Studies on Reward and Decision Making | p. 135 |
6 Decomposing brain signals involved in value-based decision making | p. 137 |
7 Reward processing in the human brain: insights from fMRI | p. 165 |
8 Spatiotemporal characteristics of perceptual decision making in the human brain | p. 185 |
9 Feedback valuation processing within the prefrontal cortex | p. 213 |
10 Computational neuroimaging: monitoring reward learning with blood flow | p. 229 |
Part 3 Brain Disorders Involving Dysfunctions of Reward and Decision Making Processes | p. 249 |
11 Can models of reinforcement learning help us to understand symptoms of schizophrenia? | p. 251 |
12 Effects of dopamine depletion on reward-seeking behavior: evidence from human and non-human primates | p. 271 |
13 A neuropsychological perspective on the role of the prefrontal cortex in reward processing and decision-making | p. 291 |
Part 4 Genetic and Hormonal Influences on the Reward System | p. 307 |
14 Gonadal steroid hormones' influence on reward and decision making processes | p. 309 |
15 Hormone effects on specific motivational states and underlying CNS arousal | p. 335 |
16 The genetic basis of individual differences in reward processing and the link to addictive behavior | p. 345 |
17 Catechol-O-methyltransferase (COMT) genotype effects on brain activation elicited by affective stimuli and cognitive tasks | p. 361 |
Part 5 Computational Models of the Reward System and Decision Making | p. 373 |
18 Optimal decision-making theories | p. 375 |
19 The basal ganglia in reward and decision making: computational models and empirical studies | p. 399 |
20 Reward-based emotions: affective evaluation of outcomes and regret learning | p. 427 |
21 Bayesian decision making in two-alternative forced choices | p. 441 |
22 Predicting risk in a multiple stimulus-reward environment | p. 459 |
Index | p. 475 |