ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2021
Time-Varying Functional Connectivity Decreases as a Function of Acute Nicotine Abstinence.
Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 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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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Altered Brain Dynamics in Heavy Smokers Revealed by Dynamic Functional Network Connectivity Analysis.Brain topography · 2026Article
- Network state dynamics underpin basal craving in a transdiagnostic population.Molecular psychiatry · 2025Article
- Altered executive control network and default model network topology are linked to acute electronic cigarette use: A resting-state fNIRS study.Addiction biology · 2024Article
- Altered dynamic functional connectivity of insular subdivisions among male cigarette smokers.Frontiers in psychiatry · 2024Article
- Time-varying effect modeling with intensive longitudinal data: Examining dynamic links among craving, affect, self-efficacy and substance use during addiction recovery.Addiction (Abingdon, England) · 2023Article
- Not all smokers are alike: the hidden cost of sustained attention during nicotine abstinence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe nicotine withdrawal syndrome (NWS) includes affective and cognitive disruptions whose incidence and severity vary across time during acute abstinence. However, most network-level neuroimaging uses static measures of resting-state functional connectivity and assumes time-invariance and is thus unable to capture dynamic brain-behavior relationships. Recent advances in resting-state functional connectivity signal processing allow characterization of time-varying functional connectivity (TVFC), which characterizes network communication between networks that reconfigure over the course of data collection. Therefore, TVFC may more fully describe network dysfunction related to the NWS.
methodsTo isolate alterations in the frequency and diversity of communication across network boundaries during acute nicotine abstinence, we scanned 25 cigarette smokers in the nicotine-sated and abstinent states and applied a previously validated method to characterize TVFC at a network and a nodal level within the brain.
resultsDuring abstinence, we found brain-wide decreases in the frequency of interactions between network nodes in different modular communities (i.e., temporal flexibility). In addition, within a subset of the networks examined, the variability of these interactions across community boundaries (i.e., spatiotemporal diversity) also decreased. Finally, within 2 of these networks, the decrease in spatiotemporal diversity was significantly related to NWS clinical symptoms.
conclusionsUsing multiple measures of TVFC in a within-subjects design, we characterized a novel set of changes in network communication and linked these changes to specific behavioral symptoms of the NWS. These reductions in TVFC provide a meso-scale network description of the relative inflexibility of specific large-scale brain networks during acute abstinence.
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