scholarly journals Commentary on Kunas et al .: Hijacked brain reward systems—how methodological advances can help to bridge gaps in the translational science pipeline

Addiction ◽  
2021 ◽  
Author(s):  
Jason A. Oliver ◽  
Maggie M. Sweitzer
2001 ◽  
Vol 3 (1) ◽  
pp. 145-156 ◽  
Author(s):  
Friedbert Weiss ◽  
George F. Koob

Appetite ◽  
2010 ◽  
Vol 54 (3) ◽  
pp. 646
Author(s):  
B.M. Geiger ◽  
L.A. Cappellucci ◽  
E.N. Pothos

2008 ◽  
Vol 31 (4) ◽  
pp. 440-441 ◽  
Author(s):  
Kent C. Berridge ◽  
Jun Zhang ◽  
J. Wayne Aldridge

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.


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

2021 ◽  
pp. 191-211
Author(s):  
Stefan Kaiser ◽  
Florian Schlagenhauf

Reward is essential for motivating goal-directed behaviour. Impairment in the processing of reward is therefore a promising candidate for understanding apathy which has been defined as a loss of motivation and a quantitative reduction of goal-directed behaviour. This chapter employs the recently updated Research Domain Criteria framework for positive valence systems to provide an overview of reward system functions that have been associated with apathy, including reward anticipation, reward consumption, learning and prediction error, value representation, and integration of effort. For each construct, the concept and the measures on the behavioural and neural level are discussed. The chapter then provides examples from the schizophrenia literature on the association of apathy with these functions and gives a transdiagnostic perspective on the role of reward system dysfunction.


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