Literature DB >> 18469217

Models and methods in delay discounting.

Aaron D Tesch1, Alan G Sanfey.   

Abstract

Delay discounting (DD) is a term typically used to describe the devaluation of rewards over time, and much research across a wide variety of domains has illustrated that people in general prefer a smaller reward delivered soon as opposed to a larger reward delivered at a later stage. Despite numerous attempts, a single unified model of DD that accounts for the varied pattern of results typically observed has been elusive. One of the difficulties in deriving a unified model is the presence of many framing and context effects, situations in which changing, apparently irrelevant, aspects of the choice scenarios lead to different selections. Additionally, different paradigms of DD research use quite different methodology, which poses challenges for a unified model. This chapter describes some of the difficulties in creating a single DD model and suggests some experiments that would help integrate different paradigms to create a clearer picture of DD.

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Year:  2008        PMID: 18469217     DOI: 10.1196/annals.1399.010

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  8 in total

1.  Effects of dopamine D1 receptor blockade in the prelimbic prefrontal cortex or lateral dorsal striatum on frontostriatal function in Wistar and Spontaneously Hypertensive Rats.

Authors:  Jamie M Gauthier; David H Tassin; Linda P Dwoskin; Kathleen M Kantak
Journal:  Behav Brain Res       Date:  2014-04-19       Impact factor: 3.332

2.  Neural and behavioral mechanisms of impulsive choice in alcohol use disorder.

Authors:  Eric D Claus; Kent A Kiehl; Kent E Hutchison
Journal:  Alcohol Clin Exp Res       Date:  2011-04-19       Impact factor: 3.455

3.  The prescription opioid, oxycodone, does not alter behavioral measures of impulsivity in healthy volunteers.

Authors:  James P Zacny; Harriet de Wit
Journal:  Pharmacol Biochem Behav       Date:  2009-08-04       Impact factor: 3.533

4.  Individual preferences modulate incentive values: Evidence from functional MRI.

Authors:  Susan Koeneke; Andreas F Pedroni; Anja Dieckmann; Volker Bosch; Lutz Jäncke
Journal:  Behav Brain Funct       Date:  2008-11-25       Impact factor: 3.759

5.  Temporal discounting in major depressive disorder.

Authors:  E Pulcu; P D Trotter; E J Thomas; M McFarquhar; G Juhasz; B J Sahakian; J F W Deakin; R Zahn; I M Anderson; R Elliott
Journal:  Psychol Med       Date:  2013-11-01       Impact factor: 7.723

6.  Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Psychosocial Domain.

Authors:  Angelina R Sutin; Kerri Boutelle; Susan M Czajkowski; Elissa S Epel; Paige A Green; Christine M Hunter; Elise L Rice; David M Williams; Deborah Young-Hyman; Alexander J Rothman
Journal:  Obesity (Silver Spring)       Date:  2018-04       Impact factor: 5.002

7.  A randomized feasibility pilot trial of a financial incentives intervention for dietary self-monitoring and weight loss in adults with obesity.

Authors:  Corrine I Voils; Jane Pendergast; Sarah L Hale; Jennifer M Gierisch; Elizabeth M Strawbridge; Erica Levine; Megan A McVay; Shelby D Reed; William S Yancy; Ryan J Shaw
Journal:  Transl Behav Med       Date:  2021-04-26       Impact factor: 3.046

8.  Temporal reward discounting in children, adolescents, and emerging adults during an experiential task.

Authors:  Anouk Scheres; Chandra Tontsch; Allison L Thoeny; Motofumi Sumiya
Journal:  Front Psychol       Date:  2014-07-08
  8 in total

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