Actions of drugs of abuse on brain reward systems: A reconsideration with specific attention to alcohol

1982 ◽  
Vol 17 (2) ◽  
pp. 233-238 ◽  
Author(s):  
Z. Amit ◽  
Z.W. Brown
Keyword(s):  
Drugs Of Abuse ◽  
Reward Systems ◽  
Brain Reward

Drug addiction: Functional neurotoxicity of the brain reward systems

2001 ◽  
Vol 3 (1) ◽  
pp. 145-156 ◽  
Author(s):  
Friedbert Weiss ◽  
George F. Koob
Keyword(s):  
Drug Addiction ◽  
Reward Systems ◽  
Brain Reward ◽  
The Brain

Effects of obesogenic intrauterine environment on brain reward systems in the offspring

Appetite ◽  
2010 ◽  
Vol 54 (3) ◽  
pp. 646
Author(s):  
B.M. Geiger ◽  
L.A. Cappellucci ◽  
E.N. Pothos
Keyword(s):  
Reward Systems ◽  
Intrauterine Environment ◽  
Brain Reward

Cellular and Molecular Mechanisms of Addiction

2017 ◽  
Author(s):  
Kathryn J. Reissner ◽  
Peter W. Kalivas
Keyword(s):  
Molecular Mechanisms ◽  
Drugs Of Abuse ◽  
Drug Seeking ◽  
Molecular Changes ◽  
Cellular Changes ◽  
Continued Use ◽  
Brain Reward ◽  
Social Use ◽  
The Brain

Exposure to drugs of abuse can be a reinforcing experience that, in vulnerable individuals, can lead to continued use and the development of an addiction disorder. Evidence indicates that the escalation in use and compulsive motivation to obtain the drug is linked to long-lasting cellular changes within the brain reward neurocircuitry. In this chapter we describe the stages of transition in use from social use to habitual relapse, and within that context we describe the implicated neurocircuitry, and the enduring cellular and molecular changes that occur within that circuitry, that may mediate the preoccupation with drug seeking in addiction-vulnerable individuals.

scholarly journals Computing motivation: Incentive salience boosts of drug or appetite states

2008 ◽  
Vol 31 (4) ◽  
pp. 440-441 ◽  
Author(s):  
Kent C. Berridge ◽  
Jun Zhang ◽  
J. Wayne Aldridge
Keyword(s):  
Computational Models ◽  
Incentive Salience ◽  
Reward Systems ◽  
Drug Induced ◽  
Brain Reward

AbstractCurrent computational models predict reward based solely on learning. Real motivation involves that but also more. Brain reward systems can dynamically generate incentive salience, by integrating prior learned values with even novel physiological states (e.g., natural appetites; drug-induced mesolimbic sensitization) to cause intense desires that were themselves never learned. We hope future computational models may capture this too.

Brain reward systems and abuse

1988 ◽  
Vol 12 (4) ◽  
pp. 548
Author(s):  
Bruce Holman
Keyword(s):  
Reward Systems ◽  
Brain Reward
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