Functional network connectivity predicts treatment outcome during treatment of nicotine use disorder

Psychiatry Research. Neuroimaging
Claire E WilcoxKent E Hutchison

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 p...Continue Reading

Citations

Jul 28, 2017·Journal of Psychopharmacology·Matthew F ThompsonJean A King
Dec 28, 2018·Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco·Eric D Claus, Christina R Weywadt
Feb 26, 2019·Addiction Biology·Cheyenne AllenbyCaryn Lerman
Jul 3, 2019·The American Journal of Drug and Alcohol Abuse·Chia-Chun HungChiang-Shan R Li
Feb 23, 2019·Network Neuroscience·Nicole CooperJean M Vettel
May 27, 2021·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Dara G GhahremaniEdythe D London

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