Common biology of craving across legal and illegal drugs - a quantitative meta-analysis of cue-reactivity brain response

2011 ◽  
Vol 33 (7) ◽  
pp. 1318-1326 ◽  
Author(s):  
Simone Kühn ◽  
Jürgen Gallinat
Keyword(s):  
Meta Analysis ◽  
Cue Reactivity ◽  
Illegal Drugs ◽  
Brain Response

scholarly journals Is obesity related to enhanced neural reactivity to visual food cues? A review and meta-analysis.

2020 ◽  
Author(s):  
Filip Morys ◽  
Isabel García-García ◽  
Alain Dagher
Keyword(s):  
Meta Analysis ◽  
Cue Reactivity ◽  
Theoretical Work ◽  
Fusiform Gyrus ◽  
Food Cues ◽  
Brain Response ◽  
Brain Responses ◽  
Neural Reactivity ◽  
Food Pictures ◽  
Left Insula

Abstract Theoretical work suggests that obesity is related to enhanced incentive salience of food cues. However, evidence from both behavioral and neuroimaging studies on the topic is mixed. In this work we review the literature on cue reactivity in obesity and perform a preregistered meta-analysis of studies investigating effects of obesity on brain responses to passive food pictures viewing. Further, we examine whether age influences brain responses to food cues in obesity. In the meta-analysis we included 13 studies of children and adults that investigated group differences (obese vs. lean) in responses to food vs. non-food pictures viewing. While we found no significant differences in the overall meta-analysis, we show that age significantly influences brain response differences to food cues in the left insula and the left fusiform gyrus. In the left insula, obese vs. lean brain differences in response to food cues decreased with age, while in the left fusiform gyrus the pattern was opposite. Our results suggest that there is little evidence for obesity-related differences in responses to food cues and that such differences might be mediated by additional factors that are often not considered.

scholarly journals Differences in Magnitude of Cue Reactivity Across Durations of Smoking History: A Meta-analysis

2019 ◽  
Vol 22 (8) ◽  
pp. 1267-1276
Author(s):  
Joshua L Karelitz
Keyword(s):  
Regression Analysis ◽  
Meta Analysis ◽  
Cue Reactivity ◽  
Effect Sizes ◽  
Smoking History ◽  
Cue Exposure ◽  
Reactivity Effect ◽  
Nicotine Intake ◽  
Meta Regression ◽  
Meta Regression Analysis

Abstract Background Cue-elicited craving may vary due to duration of smoking history, increasing as more years of smoking strengthen associations between nicotine intake and cues. However, research on this relationship is virtually absent. This project assessed the relationship between cue reactivity and years of smoking. Methods Data from 53 studies (68 effect sizes) were analyzed. Eligible studies were those measuring self-reported craving following cue exposure in nontreatment seeking smokers and reporting mean years smoking. Preliminary subgroup analyses identified methodological factors influencing cue-reactivity effect sizes; primary meta-regression analysis assessed differences across years smoking; exploratory analyses assessed potential for ceiling effects. Results Effect sizes varied due to abstinence requirement and cue presentation modality, but not dependence severity. Unexpectedly, meta-regression analysis revealed a decline in effect sizes across years smoking. Exploratory analyses suggested declines may have been due to a ceiling effect in craving measurement for those with longer smoking histories—more experienced smokers reported higher levels of craving at baseline or following neutral cue exposure, but all reported similar levels of craving after smoking cue exposure. Conclusions Methodological factors and duration of smoking history influenced measurement of cue reactivity. Highlighted were important relationships between years smoking and magnitude of cue reactivity, depending on use of baseline or neutral cue comparisons. Further research is needed to assess differences in cue reactivity due to duration of smoking history using participant-level data, directly testing for ceiling effects. In addition, cue-reactivity studies are needed across young adults to assess onset of associations between nicotine intake and cues. Implications This meta-analysis project contributes to the cue-reactivity literature by reporting on the previously ignored relationship between duration of smoking history and magnitude of cue-elicited craving. Results suggest that declines in cue-reactivity effect sizes across years of smoking may have been due to study-level methodological factors, but not due to differences in sample-level dependence severity. Cue-reactivity effect sizes were stable across years of smoking in studies using a neutral cue comparison but declined sharply in studies when baseline assessment (typically coupled with an abstinence requirement) was used.

A Meta-Analysis of Cue Reactivity in Tobacco Cigarette Smokers

2020 ◽  
Author(s):  
Jennifer M Betts ◽  
Ashley N Dowd ◽  
Mia Forney ◽  
Eleftherios Hetelekides ◽  
Stephen T Tiffany
Keyword(s):  
Meta Analysis ◽  
Cue Reactivity ◽  
Self Report ◽  
Effect Sizes ◽  
Systematic Evaluation ◽  
Cigarette Smokers ◽  
Physiological Variables ◽  
Tobacco Cigarette ◽  
Multiple Substance ◽  
Nonsignificant Effect

Abstract Introduction The cue reactivity paradigm allows for systematic evaluation of motivational responses to drug-related cues that may elicit drug use. The literature on this topic has grown substantially in recent decades, and the methodology used to study cue reactivity has varied widely across studies. The present research provided a meta-analytic investigation of variables that have an impact on cue reactivity effects to enhance our understanding of this key feature of tobacco use disorders. Methods A total of 128 publications yielded 249 effect sizes, which were analyzed to investigate the magnitude of the cue reactivity effect and potential moderators. Results Craving generated a moderate-to-large effect size (Hedges’ g = 0.71, p < .001), indicating that drug cues produced significantly greater craving than neutral cues. However, physiological variables yielded significantly lower or nonsignificant effect sizes. Analyses of a variety of empirically and theoretically relevant moderator variables showed that cue modality, cue personalization, cue reactivity environment, and the use of multiple assessments of cue reactivity were significantly associated with the magnitude of cue-specific craving effects (ps < .001). Effect sizes were not significantly related to abstinence status, gender, cigarettes per day, and treatment-seeking status. Conclusions The results underscored the strength of self-reported craving as an index of cue reactivity across studies, which support theories that posit cue reactivity is core to the addictive process for daily tobacco cigarette smokers. The present research further elucidates the variables that alter the cue reactivity effects across studies and provides recommendations for future cue reactivity research. Implications A core feature of addiction is that drug-related cues can have a major impact on motivational responses across multiple substance use disorders, including tobacco cigarettes. This paper describes a meta-analysis updating and synthesizing cue reactivity research with tobacco cigarette smokers over the last 20 years, a time of rapid growth for this literature. The study leads to a better understanding of the cue reactivity paradigm across different self-report and physiological variables and identifies factors that may modulate addictive motivation for tobacco cigarettes.

Neural predictors of cognitive-behavior therapy outcome in anxiety-related disorders: a meta-analysis of task-based fMRI studies

2022 ◽  
pp. 1-9
Author(s):  
Maria Picó-Pérez ◽  
Miquel A. Fullana ◽  
Anton Albajes-Eizagirre ◽  
Daniel Vega ◽  
Josep Marco-Pallarés ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Meta Analysis ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Cognitive Behavior ◽  
Brain Response ◽  
Dorsal Anterior Cingulate Cortex ◽  
Compulsive Disorder

Abstract Background Cognitive-behavior therapy (CBT) is a well-established first-line intervention for anxiety-related disorders, including specific phobia, social anxiety disorder, panic disorder/agoraphobia, generalized anxiety disorder, obsessive-compulsive disorder, and posttraumatic stress disorder. Several neural predictors of CBT outcome for anxiety-related disorders have been proposed, but previous results are inconsistent. Methods We conducted a systematic review and meta-analysis of task-based functional magnetic resonance imaging (fMRI) studies investigating whole-brain predictors of CBT outcome in anxiety-related disorders (17 studies, n = 442). Results Across different tasks, we observed that brain response in a network of regions involved in salience and interoception processing, encompassing fronto-insular (the right inferior frontal gyrus-anterior insular cortex) and fronto-limbic (the dorsomedial prefrontal cortex-dorsal anterior cingulate cortex) cortices was strongly associated with a positive CBT outcome. Conclusions Our results suggest that there are robust neural predictors of CBT outcome in anxiety-related disorders that may eventually lead (probably in combination with other data) to develop personalized approaches for the treatment of these mental disorders.

scholarly journals Neural substrates of smoking cue reactivity: A meta-analysis of fMRI studies

NeuroImage ◽  
2012 ◽  
Vol 60 (1) ◽  
pp. 252-262 ◽  
Author(s):  
Jeffrey M. Engelmann ◽  
Francesco Versace ◽  
Jason D. Robinson ◽  
Jennifer A. Minnix ◽  
Cho Y. Lam ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Cue Reactivity ◽  
Neural Substrates ◽  
Smoking Cue Reactivity

scholarly journals Cue-reactivity in behavioral addictions: A meta-analysis and methodological considerations

2018 ◽  
Vol 7 (2) ◽  
pp. 227-238 ◽  
Author(s):  
Katrin Starcke ◽  
Stephanie Antons ◽  
Patrick Trotzke ◽  
Matthias Brand
Keyword(s):  
Meta Analysis ◽  
Cue Reactivity ◽  
Behavioral Addictions ◽  
Methodological Considerations

scholarly journals Obesity and Dietary Added Sugar Interact to Affect Postprandial GLP-1 and Its Relationship to Striatal Responses to Food Cues and Feeding Behavior

2021 ◽  
Vol 12 ◽  
Author(s):  
Sabrina Jones ◽  
Shan Luo ◽  
Hilary M. Dorton ◽  
Alexandra G. Yunker ◽  
Brendan Angelo ◽  
...  
Keyword(s):  
Feeding Behavior ◽  
Cue Reactivity ◽  
Brain Regions ◽  
Plain Water ◽  
Food Cues ◽  
Brain Response ◽  
Added Sugar ◽  
Low Calorie ◽  
Sugar Intake ◽  
High Calorie

It has been hypothesized that the incretin hormone, glucagon-like peptide-1 (GLP-1), decreases overeating by influencing mesolimbic brain regions that process food-cues, including the dorsal striatum. We previously showed that habitual added sugar intake was associated with lower glucose-induced circulating GLP-1 and a greater striatal response to high calorie food cues in lean individuals. Less is known about how dietary added sugar and obesity may interact to affect postprandial GLP-1 and its relationship to striatal responses to food cues and feeding behavior. The current study aimed to expand upon previous research by assessing how circulating GLP-1 and striatal food cue reactivity are affected by acute glucose consumption in participants with varied BMIs and amounts of habitual consumption of added sugar. This analysis included 72 participants from the Brain Response to Sugar Study who completed two study visits where they consumed either plain water or 75g glucose dissolved in water (order randomized; both drinks were flavored with non-caloric cherry flavoring) and underwent repeated blood sampling, a functional magnetic resonance imaging (fMRI) based food-cue task, and an ad-libitum buffet meal. Correlations between circulating GLP-1 levels, striatal food-cue reactivity, and food intake were assessed, and interactions between obesity and added sugar on GLP-1 and striatal responses were examined. An interaction between BMI and dietary added sugar was associated with reduced post-glucose GLP-1 secretion. Participants who were obese and consumed high levels of added sugar had the smallest increase in plasma GLP-1 levels. Glucose-induced GLP-1 secretion was correlated with lower dorsal striatal reactivity to high-calorie versus low-calorie food-cues, driven by an increase in reactivity to low calorie food-cues. The increase in dorsal striatal reactivity to low calorie food-cues was negatively correlated with sugar consumed at the buffet. These findings suggest that an interaction between obesity and dietary added sugar intake is associated with additive reductions in postprandial GLP-1 secretion. Additionally, the results suggest that changes to dorsal striatal food cue reactivity through a combination of dietary added sugar and obesity may affect food consumption.

A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps

2011 ◽  
Vol 27 (8) ◽  
pp. 605-611 ◽  
Author(s):  
J. Radua ◽  
D. Mataix-Cols ◽  
M.L. Phillips ◽  
W. El-Hage ◽  
D.M. Kronhaus ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Likelihood Estimation ◽  
Pooled Analysis ◽  
Brain Response ◽  
Fearful Faces ◽  
Density Analysis ◽  
Probability Methods ◽  
Kernel Density Analysis ◽  
Meta Analyses ◽  
Parametric Maps

AbstractMeta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines.

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