ArticleDrug and alcohol dependence2021
Exploration of the influence of body mass index on intra-network resting-state connectivity in chronic cigarette smokers.
Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed, 8 citations in OpenAlex.
- Network localization of gray matter alterations in chronic smokers using the normative functional connectome.Frontiers in public health · 2026Article
- Data-driven connectivity profiles relate to smoking cessation outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Reward and inhibition in obesity and cigarette smoking: Neurobiological overlaps and clinical implications.Physiology & behavior · 2023Review
- Weight Status Modulated Brain Regional Homogeneity in Long-Term Male Smokers.Frontiers in psychiatry · 2022Article
- Explore the effects of overweight and smoking on spontaneous brain activity: Independent and reverse.Frontiers in neuroscience · 2022Article
- An exploration of associations between smoking motives and behavior as a function of body mass index.Drug and alcohol dependence reports · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundObesity and cigarette smoking are two leading preventable causes of death. Previous research suggests that comorbid smoking and obesity likely share neurobehavioral underpinnings; however, the influence of body mass index (BMI) on resting-state functional connectivity (rsFC) in smokers remains unknown. In this study, we explore how BMI affects rsFC and associations between rsFC and smoking-related behavior.
methodsTreatment-seeking cigarette smokers (N = 87; 54 % men) completed a BOLD resting-state fMRI scan session. We grouped smokers into BMI groups (N = 23 with obesity, N = 33 with overweight, N = 31 lean) and used independent components analysis (ICA) to identify the resting state networks commonly associated with cigarette smoking: salience network (SN), right and left executive control networks (ECN) and default mode network (DMN). Average rsFC values were extracted (p < 0.001, k = 100) to determine group differences in rsFC and relationship to self-reported smoking and dependence.
resultsAnalyses revealed a significant relationship between BMI and connectivity in the SN and a significant quadratic effect of BMI on DMN connectivity. Heavier smoking was related to greater rsFC in the SN among lean and obese groups but reduced rsFC in the overweight group.
conclusionsFindings build on research suggesting an influence of BMI on the neurobiology of smokers. In particular, dysfunction of SN-DMN-ECN circuitry in smokers with overweight may lead to a failure to modulate attention and behavior and subsequent difficulty quitting smoking. Future research is needed to elucidate the mechanism underlying the interaction of BMI and smoking and its impact on treatment.
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