ArticlePsychopharmacology2018
A cognitive model-based approach to testing mechanistic explanations for neuropsychological decrements during tobacco abstinence.
Article in Psychopharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Joint Cognitive Models Reveal Sources of Robust Individual Differences in Conflict Processing.Computational brain & behavior · 2026Article
- Acute effects of Δ9-tetrahydrocannabinol on computational measures of neurocognitive processes are related to recent cannabis use among adolescents and young adults.Frontiers in adolescent medicine · 2025Article
- Not all smokers are alike: the hidden cost of sustained attention during nicotine abstinence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
- Time-Varying Functional Connectivity Decreases as a Function of Acute Nicotine Abstinence.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
rationaleCigarette smokers often experience cognitive decrements during abstinence from tobacco, and these decrements may have clinical relevance in the context of smoking cessation interventions. However, limitations of the behavioral summary statistics used to measure cognitive effects of abstinence, response times (RT) and accuracy rates, may restrict the field's ability to identify robust abstinence effects on task performance and test mechanistic hypotheses about the etiology of these cognitive changes.
objectivesThe current study explored whether a measurement approach based on mathematical models of cognition, which make the cognitive mechanisms necessary to perform choice RT tasks explicit, would be able to address these limitations.
methodsThe linear ballistic accumulator model (LBA: Brown and Heathcote, Cogn Psychol 57(3):153-178, 2008) was fit to an existing data set from a study that evaluated the impact of overnight abstinence on flanker task performance.
resultsThe model-based analysis provided evidence that smokers' rates of mind wandering increased during abstinence, and was able to index this effect while controlling for participants' strategy changes that were related to the specific experimental paradigm used.
conclusionMind wandering is a putative explanation for cognitive withdrawal symptoms during smoking cessation and may be indexed using the LBA. More broadly, the use of formal model-based analyses in future research on this topic has the potential to allow for strong and specific tests of mechanistic explanations for these symptoms.
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