Trial reportPsychiatry research. Neuroimaging2017
Functional network connectivity predicts treatment outcome during treatment of nicotine use disorder.
Trial report in Psychiatry research. Neuroimaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 24 citations in OpenAlex.
- Lack of effect of transcranial direct current stimulation (tDCS) on short-term smoking cessation: Results of a randomized, sham-controlled clinical trial.Drug and alcohol dependence · 2019Trial
- Salience network coupling is linked to both tobacco smoking and symptoms of attention deficit hyperactivity disorder (ADHD).Drug and alcohol dependence · 2018Trial
- Determinants of Repetitive Transcranial Magnetic Stimulation Efficacy in Tobacco Use Disorder: A Pre-Registered Study.medRxiv : the preprint server for health sciences · 2026Article
- Artificial intelligence guided acupuncture decision making and treatment: a review of research.Frontiers in medicine · 2026Review
- Effect of glucagon-like peptide-1 receptor agonists on cigarette smoking consumption in type 2 diabetes patients: study protocol of a randomized, parallel -controlled clinical trial.Frontiers in clinical diabetes and healthcare · 2026Article
- Effect of Intensified Transcranial Direct-current Stimulation Targeting Bilateral Dorsolateral Prefrontal Cortex on Craving Reduction in Patients with Opioid (Heroin) Use Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024Article
- Non-Opioid Anesthetics Addiction: A Review of Current Situation and Mechanism.Brain sciences · 2023Review
- Misconfigured striatal connectivity profiles in smokers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
- Hypothalamic connectivities predict individual differences in ADT-elicited changes in working memory and quality of life in prostate cancer patients.Scientific reports · 2022Observational
- Precision Preventive Medicine of Relapse in Smoking Cessation: Can MRI Inform the Search of Intermediate Phenotypes?Biology · 2021Review
- Functional connectivity of the anterior insula during withdrawal from cigarette smoking.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Exploration of the influence of body mass index on intra-network resting-state connectivity in chronic cigarette smokers.Drug and alcohol dependence · 2021Article
- Neural cue reactivity during acute abstinence predicts short-term smoking relapse.Addiction biology · 2020Article
- Striatal functional connectivity in chronic ketamine users: a pilot study.The American journal of drug and alcohol abuse · 2020Article
- The insula in nicotine use disorder: Functional neuroimaging and implications for neuromodulation.Neuroscience and biobehavioral reviews · 2019Review
- Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting-state fMRI.Addiction biology · 2019Article
- Alterations in resting-state functional connectivity in substance use disorders and treatment implications.Progress in neuro-psychopharmacology & biological psychiatry · 2019Review
- Time-evolving dynamics in brain networks forecast responses to health messaging.Network neuroscience (Cambridge, Mass.) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Altered resting state functional connectivity (rsFC) and functional network connectivity (FNC), which is a measure of coherence between brain networks, may be associated with nicotine use disorder (NUD). We hypothesized that higher connectivity between insula and 1) dorsal anterior cingulate cortex (dACC) and 2) dorsolateral prefrontal cortex (dlPFC) would predict better treatment outcomes. We also performed an exploratory analysis of the associations between FNC values between additional key frontal and striatal regions and treatment outcomes. One hundred and forty four individuals with NUD underwent a resting state session during functional MRI prior to randomization to treatment with varenicline (n=82) or placebo. Group independent component analysis (ICA) was utilized to extract individual subject components and time series from intrinsic connectivity networks in aforementioned regions, and FNC between all possible pairs were calculated. Higher FNC between insula and dACC (rho=0.21) was significantly correlated with lower levels of baseline smoking quantity but did not predict treatment outcome upon controlling for baseline smoking. Higher FNC between putamen and dACC, caudate and dACC, and caudate and dlPFC significantly predicted worse treatment outcome in participants reporting high subjective withdrawal before the scan. FNC between key regions hold promise as biomarkers to predict outcome in NUD.
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Registered trials
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.