ArticleDrug and alcohol dependence2017
Alterations in functional brain networks associated with loss-chasing in gambling disorder and cocaine-use disorder.
Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- A voxel-wise meta-analysis of task-based functional MRI studies on impaired gain and loss processing in adults with addiction.Journal of psychiatry & neuroscience : JPN · 2021Pooled it
- Neuroimaging Impaired Response Inhibition and Salience Attribution in Human Drug Addiction: A Systematic Review.Neuron · 2018Pooled it
- Chasing the desire: An investigation on the role of craving, time perspective, and alcohol use in adolescent gambling.Addictive behaviors · 2020Trial
- Spatio-temporal differences in EEG dynamics during decision-making between online poker players with moderate-risk and high-risk gambling activity.Scientific reports · 2026Article
- Intrinsic connectivity demonstrates a shared role of the posterior cingulate for cue reactivity in both gambling and cocaine use disorders.Addictive behaviors · 2024Article
- Value-based decision-making network functional connectivity correlates with substance use and delay discounting behaviour among young adults.NeuroImage. Clinical · 2023Article
- The Potential of N-acetyl Cysteine in Behavioral Addictions and Related Compulsive and Impulsive Behaviors and Disorders: a Scoping Review.Current addiction reports · 2022Article
- High-Definition Transcranial Stimulation over the Dorsolateral Prefrontal Cortex Alters the Sunk Cost Effect: A Mental Accounting Framework.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Neural sensitivity to risk in adults with co-occurring HIV infection and cocaine use disorder.Cognitive, affective & behavioral neuroscience · 2020Article
- The influence of chronological age on cognitive biases and impulsivity levels in male patients with gambling disorder.Journal of behavioral addictions · 2020Article
- To chase or not to chase: A study on the role of mentalization and alcohol consumption in chasing behavior.Journal of behavioral addictions · 2019Article
- Spiritual experiences are related to engagement of a ventral frontotemporal functional brain network: Implications for prevention and treatment of behavioral and substance addictions.Journal of behavioral addictions · 2019Article
- Gradient theories of brain activation: A novel application to studying the parental brain.Current behavioral neuroscience reports · 2019Article
- Problematic Internet use in drug addicts under treatment in public rehab centers.World journal of psychiatry · 2019Article
- The Stimulating Nature of Gambling Behaviors: Relationships Between Stimulant Use and Gambling Among Adolescents.Journal of gambling studies · 2019Article
- Diagnostic and Classification Considerations Regarding Gaming Disorder: Neurocognitive and Neurobiological Features.Frontiers in psychiatry · 2019Article
- The importance of considering polysubstance use: lessons from cocaine research.Drug and alcohol dependence · 2018Review
- Response inhibition and fronto-striatal-thalamic circuit dysfunction in cocaine addiction.Drug and alcohol dependence · 2018Article
- Relating neural processing of reward and loss prospect to risky decision-making in individuals with and without Gambling Disorder.International gambling studies · 2018Article
- Clinical neuropsychiatric considerations regarding nonsubstance or behavioral addictions.Dialogues in clinical neuroscience · 2017Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundContinued, persistent gambling to recover accumulating losses, or 'loss-chasing', is a behavioral pattern linked particularly closely to gambling disorder (GD) but may reflect impaired decision-making processes relevant to drug addictions like cocaine-use disorder (CUD). However, little is known regarding the neurocognitive mechanisms of this complex, maladaptive behavior, particularly in individuals with addictive disorders.
methodsSeventy participants (25 GD, 18 CUD, and 27 healthy comparison (HC)) completed a loss-chase task during fMRI. Engagement of functional brain networks in response to losing outcomes and during decision-making periods preceding choices to loss-chase or to quit chasing losses were investigated using independent component analysis (ICA). An exploratory factor analysis was performed to examine patterns of coordinated engagement across identified networks.
resultsIn GD relative to HC and CUD participants, choices to quit chasing were associated with greater engagement of a medial frontal executive-processing network. By comparison, CUD participants exhibited altered engagement of a striato-amygdala motivational network in response to losing outcomes as compared to HC, and during decision-making as compared to GD. Several other networks were differentially engaged during loss-chase relative to quit-chasing choices, but did not differ across participant groups. Exploratory factor analysis identified a system of coordinated activity across prefrontal executive-control networks that was greater in GD and CUD relative to HC participants and was associated with increased chasing persistence across all participants.
conclusionsResults provide evidence of shared and distinct neurobiological mechanisms in substance and behavioral addictions, and lend insight into potential cognitive interventions targeting loss-chasing behavior in GD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.