Neuronal correlates of delay discounting in healthy subjects and its implication for addiction: an ALE meta-analysis study

Background: Delay discounting (DD) describes the phenomenon of devaluing future rewards in favor of immediate rewards. Increased DD is a key behavioral marker of addiction, and has been suggested as a target for interventions to alleviate addiction symptoms (e.g., preference for immediate drug use o...

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Vydané v:The American journal of drug and alcohol abuse Ročník 45; číslo 1; s. 51 - 66
Hlavní autori: Schüller, Canan Beate, Kuhn, Jens, Jessen, Frank, Hu, Xiaochen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Taylor & Francis 02.01.2019
Taylor & Francis Ltd
Predmet:
Activation likelihood estimation meta-analysis
addiction
Addictions
Analysis
Basal ganglia
behavioral intervention
Brain
Brain - diagnostic imaging
Choice Behavior - physiology
Circuits
Cortex
delay discounting
Delay Discounting - physiology
Delayed
Discounting
Disorders
Drug abuse
Drug addiction
Drugs
Female
Future
Healthy Volunteers
Humans
Imagination
Intervention
Male
Medical imaging
Meta-analysis
Neuroimaging
Neuroimaging - methods
Neuromodulation
neuromodulation intervention
Patients
Regions
Relapse
Reward
Rewards
Simulation
Substance abuse
Substance use disorder
Substance-Related Disorders - diagnostic imaging
Symptoms
Systematic review
Temptation
Valuation
neuromodulation intervention
substance use disorder
behavioral intervention
Activation likelihood estimation meta-analysis
delay discounting
addiction
ISSN:0095-2990, 1097-9891, 1097-9891
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Shrnutí:Background: Delay discounting (DD) describes the phenomenon of devaluing future rewards in favor of immediate rewards. Increased DD is a key behavioral marker of addiction, and has been suggested as a target for interventions to alleviate addiction symptoms (e.g., preference for immediate drug use over larger-and-later rewards, and relapses) in patients with substance use disorders (SUD). Objectives: Performed a meta-analysis on neuroimaging results of DD regarding specific contrasts in healthy participants. Reviewed the results of existing patient studies in light of the meta-analyses results. Methods: We conducted activation likelihood estimation meta-analyses on DD neuroimaging studies (25 studies, n = 583; 354 males and 229 females) regarding six analytic strategies. Results: The meta-analyses revealed various subdivisions of the cortical-basal ganglia circuits that are associated with different aspects of DD in healthy subjects. By comparing the meta-analyses results and patients' studies regarding each contrast, we highlighted three brain regions that may underlie excessive DD in patients. Decreased left inferior frontal gyrus (IFG) activity was related to less preference for delayed choices; reduced ventral striatum (VS) activity was associated with impaired valuation processes; and declined anterior cingulate cortex (ACC)/medial prefrontal cortex (mPFC) activity was associated with alterations in processing difficult choices. Conclusions: We propose that neuromodulation (e.g. deep brain simulation) or behavioral interventions (e.g. episodic future imagination) targeting these key brain regions (IFG, VS, ACC/mPFC) may be effective for improving DD function in patients with SUD, enhancing valuations of future rewards and helping to resist the temptation of immediate drug use.
Bibliografia:ObjectType-Article-2
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ObjectType-Evidence Based Healthcare-1
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ISSN:0095-2990
1097-9891
1097-9891
DOI:10.1080/00952990.2018.1557675