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Under the auspices of/Sous l'égide de - International Academy of ...

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111. Pre-Congress: July 2, 20051.1. Animal Mo<strong>de</strong>ls <strong>of</strong> Addiction: Relevance for <strong>Un<strong>de</strong>r</strong>standing <strong>the</strong> Neurobiology <strong>of</strong>AddictionGeorge Koob, Scripps Research Institute, La Jolla, USA (gkoob@ucsd.edu)Drug addiction has been conceptualized as compulsive drug taking with a loss <strong>of</strong> control over intake thatreflects an impulse control disor<strong>de</strong>r beginning with positive reinforcement and shifting to a compulsivedisor<strong>de</strong>r with negative reinforcement. <strong>Un<strong>de</strong>r</strong> this framework, drug addiction is composed <strong>of</strong> threecomponents: a binge/intoxication stage, a withdrawal-negative affect stage, and apreoccupation/anticipation (craving) stage. Animal mo<strong>de</strong>ls for various stages <strong>of</strong> <strong>the</strong> drug abuse cycle havebeen <strong>de</strong>veloped and are providing a rational basis for our un<strong>de</strong>rstanding <strong>of</strong> <strong>the</strong> neurobiology <strong>of</strong> addiction.Animal mo<strong>de</strong>ls <strong>of</strong> <strong>the</strong> binge/intoxication stage inclu<strong>de</strong> drug self-administration, place preference, brainreward thresholds, and escalated drug intake associated with exten<strong>de</strong>d access. Animal mo<strong>de</strong>ls for <strong>the</strong>withdrawal/negative affect stage inclu<strong>de</strong> place aversions and brain reward threshold measures. Animalmo<strong>de</strong>ls for <strong>the</strong> preoccupation/anticipation (craving) stage inclu<strong>de</strong> drug-, stress- and cue-inducedreinstatement and drug taking following abstinence and withdrawal. Common neurobiological elementsthat follow <strong>the</strong> shift from impulsive to compulsive dysregulation in drug addiction inclu<strong>de</strong> compromisedbrain reward and stress systems and is comprised <strong>of</strong> key elements <strong>of</strong> a basal forebrain macrostructuretermed <strong>the</strong> exten<strong>de</strong>d amygdala and its connections. Neuropharmacologic studies in animal mo<strong>de</strong>ls <strong>of</strong>addiction have provi<strong>de</strong>d evi<strong>de</strong>nce for <strong>the</strong> dysregulation <strong>of</strong> specific neurochemical mechanisms in specificbrain reward systems in <strong>the</strong> exten<strong>de</strong>d amygdala (opioid pepti<strong>de</strong>s, γ-aminobutyric acid, glutamate anddopamine). There also is recruitment <strong>of</strong> brain stress systems (corticotropin-releasing factor andnorepinephrine) and dysregulation <strong>of</strong> brain anti-stress systems (neuropepti<strong>de</strong> Y) that provi<strong>de</strong> <strong>the</strong> negativemotivational state associated with drug abstinence. The changes in <strong>the</strong> reward and stress systems arehypo<strong>the</strong>sized to maintain hedonic stability in an allostatic state, as opposed to a homeostatic state, and assuch convey <strong>the</strong> vulnerability for <strong>de</strong>velopment <strong>of</strong> <strong>de</strong>pen<strong>de</strong>nce and relapse in addiction. Future challengescenter on i<strong>de</strong>ntifying <strong>the</strong> molecular and cellular changes that contribute to <strong>the</strong> neuroadaptations withinspecific motivationally relevant neurocircuits associated with transition to <strong>de</strong>pen<strong>de</strong>nce, motivationalwithdrawal, protracted abstinence and vulnerability to relapse.1.2.Processing <strong>of</strong> Reward Information by Dopamine Neurons and O<strong>the</strong>r Brain StructuresWolfram Schultz, Cambridge University (ws234@cam.ac.uk)Information about rewards is processed in a number <strong>of</strong> brain structures, such as <strong>the</strong> dopamine system,striatum and orbit<strong>of</strong>rontal cortex. We found in formal learning paradigms that dopamine neurons <strong>de</strong>tect <strong>the</strong>extent to which rewards occur differently than predicted, thus coding an 'error' in <strong>the</strong> prediction <strong>of</strong> reward.Toge<strong>the</strong>r with <strong>the</strong>ir anatomical organization and influence on postsynaptic structures, dopamine neuronsmay thus serve as explicit teaching signals mediating changes in immediate responses and learning.Neurons in <strong>the</strong> orbit<strong>of</strong>rontal cortex discriminate well between different rewards irrespective <strong>of</strong> <strong>the</strong> positionsand objects <strong>of</strong> <strong>the</strong> stimuli predicting <strong>the</strong>m and may serve as a highly sensitive reward-discriminatingsystem. Neurons in <strong>the</strong> striatum incorporate reward information into activity related to <strong>the</strong> preparation an<strong>de</strong>xecution <strong>of</strong> movements leading to <strong>the</strong> reward, thus possibly reflecting a neural mechanism un<strong>de</strong>rlying

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