ArticleDrug and alcohol dependence2012
Prefrontal and limbic resting state brain network functional connectivity differs between nicotine-dependent smokers and non-smoking controls.
Article in Drug and alcohol dependence, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
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Who cites it
88 citing papers in PubMed, 128 citations in OpenAlex.
- Targeting cortico-striatal-amygdalar networks via theta-band frontoparietal synchronization in opioid use disorder: a randomized tACS-fMRI Trial.Molecular psychiatry · 2026Trial
- Correlations Between the DMN and the Smoking Cessation Outcome of a Real-Time fMRI Neurofeedback Supported Exploratory Therapy Approach: Descriptive Statistics on Tobacco-Dependent Patients.Clinical EEG and neuroscience · 2022Trial
- Functional network connectivity predicts treatment outcome during treatment of nicotine use disorder.Psychiatry research. Neuroimaging · 2017Trial
- Orbitofrontal cortex and amygdala as key regions for the classification of small animal phobia: A structural MRI machine learning study.Cognitive, affective & behavioral neuroscience · 2026Article
- A Novel Therapeutic Mechanism for Nicotine Craving in Schizophrenia.medRxiv : the preprint server for health sciences · 2026Article
- Resting-state fMRI analysis of functional connectivity and temporal dynamics differences between cocaine users and healthy controls.Neuroimage. Reports · 2026Article
- Activated glutamatergic neurons in basolateral amygdala suppress nicotine preference behavior in mice.Frontiers in pharmacology · 2026Article
- Correlation of altered intrinsic functional connectivity with impaired self-regulation in children and adolescents with ADHD.European archives of psychiatry and clinical neuroscience · 2025Article
- Adolescent substance use trajectories are associated with nucleus accumbens functional connectivity.Journal of psychopharmacology (Oxford, England) · 2025Article
- The phobic brain: Morphometric features correctly classify individuals with small animal phobia.Psychophysiology · 2025Article
- Longitudinal brain connectivity changes associated with successful smoking cessation.Frontiers in psychology · 2025Article
- Greater ventral striatal functional connectivity in cigarette smokers relative to non-smokers across a spectrum of alcohol consumption.Brain imaging and behavior · 2024Article
- Multimodal 7T imaging reveals enhanced functional coupling between salience and frontoparietal networks in young adult tobacco cigarette smokers.Brain imaging and behavior · 2024Article
- Commonality and variance of resting-state networks in common marmoset brains.Scientific reports · 2024Article
- The interaction effects of age, APOE and common environmental risk factors on human brain structure.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Childhood Trauma, Emotional Awareness, and Neural Correlates of Long-Term Nicotine Smoking.JAMA network open · 2024Article
- Integrated use of biofeedback and neurofeedback techniques in treating pathological conditions and improving performance: a narrative review.Frontiers in neuroscience · 2024Review
- Genetic and environmental influence on resting state networks in young male and female adults: a cartographer mapping study.Human brain mapping · 2023Article
- Acupuncture modulates the functional connectivity among the subcortical nucleus and fronto-parietal network in adolescents with internet addiction.Brain and behavior · 2023Article
- Test-Retest Reliability of Resting Brain Small-World Network Properties across Different Data Processing and Modeling Strategies.Brain sciences · 2023Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundBrain dysfunction in prefrontal cortex (PFC) and dorsal striatum (DS) contributes to habitual drug use. These regions are constituents of brain networks thought to be involved in drug addiction. To investigate whether networks containing these regions differ between nicotine dependent female smokers and age-matched female non-smokers, we employed functional MRI (fMRI) at rest.
methodsData were processed with independent component analysis (ICA) to identify resting state networks (RSNs). We identified a subcortical limbic network and three discrete PFC networks: a medial prefrontal cortex (mPFC) network and right and left lateralized fronto-parietal networks common to all subjects. We then compared these RSNs between smokers and non-smokers using a dual regression approach.
resultsSmokers had greater coupling versus non-smokers between left fronto-parietal and mPFC networks. Smokers with the greatest mPFC-left fronto-parietal coupling had the most DS smoking cue reactivity as measured during an fMRI smoking cue reactivity paradigm. This may be important because the DS plays a critical role in maintaining drug-cue associations. Furthermore, subcortical limbic network amplitude was greater in smokers.
conclusionsOur results suggest that prefrontal brain networks are more strongly coupled in smokers, which could facilitate drug-cue responding. Our data also are the first to document greater reward-related network fMRI amplitude in smokers. Our findings suggest that resting state PFC network interactions and limbic network amplitude can differentiate nicotine-dependent smokers from controls, and may serve as biomarkers for nicotine dependence severity and treatment efficacy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.