ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2014
Altered neural processing of the need to stop in young adults at risk for stimulant dependence.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuroimaging Impaired Response Inhibition and Salience Attribution in Human Drug Addiction: A Systematic Review.Neuron · 2018Pooled it
- Interoceptive Processing in Substance Use Disorders (SUDs): From the Neuroanatomy to Insights from Computational Models and Predictive Coding Frameworks.Current topics in behavioral neurosciences · 2025Review
- Dissociable Roles of the mPFC-to-VTA Pathway in the Control of Impulsive Action and Risk-Related Decision-Making in Roman High- and Low-Avoidance Rats.The international journal of neuropsychopharmacology · 2024Article
- Motivational context and neurocomputation of stop expectation moderate early attention responses supporting proactive inhibitory control.Frontiers in human neuroscience · 2024Article
- State-specific alterations in the neural computations underlying inhibitory control in women remitted from bulimia nervosa.Molecular psychiatry · 2023Article
- Genotype-by-diagnosis interaction influences self-control in human cocaine addiction.Translational psychiatry · 2023Article
- Statistical Nonparametric fMRI Maps in the Analysis of Response Inhibition in Abstinent Individuals with History of Alcohol Use Disorder.Behavioral sciences (Basel, Switzerland) · 2022Article
- Neural Response to Social Exclusion Moderates the Link Between Adolescent Anxiety Symptoms and Substance Use.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Article
- Altered EEG Microstates Dynamics During Cue-Induced Methamphetamine Craving in Virtual Reality Environments.Frontiers in psychiatry · 2022Article
- Altered functional network activities for behavioral adjustments and Bayesian learning in young men with Internet gaming disorder.Journal of behavioral addictions · 2021Article
- Altered effective connectivity within an oculomotor control network in individuals with schizophrenia.NeuroImage. Clinical · 2021Article
- Proactive engagement of cognitive control modulates implicit approach-avoidance bias.Cognitive, affective & behavioral neuroscience · 2020Article
- Neurocomputational Changes in Inhibitory Control Associated With Prolonged Exposure Therapy.Journal of traumatic stress · 2020Article
- Driven by Pain, Not Gain: Computational Approaches to Aversion-Related Decision Making in Psychiatry.Biological psychiatry · 2020Review
- Shared gray matter reductions across alcohol use disorder and posttraumatic stress disorder in the anterior cingulate cortex: A dual meta-analysis.Neurobiology of stress · 2019Article
- Bayesian computational markers of relapse in methamphetamine dependence.NeuroImage. Clinical · 2019Article
- Anhedonia and anxiety underlying depressive symptomatology have distinct effects on reward-based decision-making.PloS one · 2017Article
- A Roadmap for the Development of Applied Computational Psychiatry.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2016Article
- Reduced Neural Recruitment for Bayesian Adjustment of Inhibitory Control in Methamphetamine Dependence.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2016Article
- Divergent subcortical activity for distinct executive functions: stopping and shifting in obsessive compulsive disorder.Psychological medicine · 2016Article
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Authors and funding
6 authors.
Funding
Abstract
Identification of neurocognitive predictors of substance dependence is an important step in developing approaches to prevent addiction. Given evidence of inhibitory control deficits in substance abusers (Monterosso et al., 2005; Fu et al., 2008; Lawrence et al., 2009; Tabibnia et al., 2011), we examined neural processing characteristics in human occasional stimulant users (OSU), a population at risk for dependence. A total of 158 nondependent OSU and 47 stimulant-naive control subjects (CS) were recruited and completed a stop signal task while undergoing functional magnetic resonance imaging (fMRI). A Bayesian ideal observer model was used to predict probabilistic expectations of inhibitory demand, P(stop), on a trial-to-trial basis, based on experienced trial history. Compared with CS, OSU showed attenuated neural activation related to P(stop) magnitude in several areas, including left prefrontal cortex and left caudate. OSU also showed reduced neural activation in the dorsal anterior cingulate cortex (dACC) and right insula in response to an unsigned Bayesian prediction error representing the discrepancy between stimulus outcome and the predicted probability of a stop trial. These results indicate that, despite minimal overt behavioral manifestations, OSU use fewer brain processing resources to predict and update the need for response inhibition, processes that are critical for adjusting and optimizing behavioral performance, which may provide a biomarker for the development of substance dependence.
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