ArticleImaging neuroscience (Cambridge, Mass.)2024
Ventromedial frontoinsular connectivity is associated with long-term smoking behavior change in aging.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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
3 citing papers in PubMed.
- Association of functional brain alterations with β-amyloid, tau, and cognitive decline in Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- Social determinants of health and brain connectivity predict physical activity behavior change after new cardiovascular diagnosis.PNAS nexus · 2025Article
- Linking Individual Variability of Multi-modal Connectivity, Lifestyle, Psycho-Social Factors and Cognition in Older Adults.Aging and disease · 2025Article
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Authors and funding
9 authors.
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Abstract
A central question in the field of cognitive aging and behavioral neuroscience is what enables some individuals to successfully change their behavior more than others? Smoking is a significant risk factor for cognitive decline, particularly in vulnerable populations, including those who are at an elevated risk for Alzheimer's disease (AD). Developing effective smoking reduction strategies is therefore a public health priority. The goal of the current study is to better understand the brain mechanisms underlying long-term smoking behavior change in cognitively normal, but at-risk, older adults. Neuroimaging and human lesion studies have implicated the insula and its functional network in subjective interoceptive awareness of cigarette craving and smoking-cue reactivity. We sought to characterize the extent to which anterior insular resting-state functional connectivity (RSFC) MRI predicted long-term smoking reduction (mean: 2.7 years, range 8 months-4 years) using a seed-to-voxel approach. Twenty-three (18 women; 26%
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