Functional network connectivity predicts treatment outcome during treatment of nicotine use disorder
| Autor: | Eric D. Claus, Vince D. Calhoun, Rae A. Littlewood, Srinivas Rachakonda, Kent E. Hutchison, Pamela B. Arenella, Jessica Mickey, Claire E. Wilcox |
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| Rok vydání: | 2017 |
| Předmět: |
Adult
Male medicine.medical_specialty Neuroscience (miscellaneous) Placebo behavioral disciplines and activities Gyrus Cinguli Article Nicotine 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Physical medicine and rehabilitation medicine Humans Radiology Nuclear Medicine and imaging Nicotinic Agonists Varenicline Psychiatry Anterior cingulate cortex Resting state fMRI Putamen Smoking Brain Tobacco Use Disorder Middle Aged Magnetic Resonance Imaging Corpus Striatum 030227 psychiatry Dorsolateral prefrontal cortex Psychiatry and Mental health medicine.anatomical_structure Treatment Outcome chemistry Female Nerve Net Psychology Insula 030217 neurology & neurosurgery psychological phenomena and processes medicine.drug |
| Zdroj: | Psychiatry research. Neuroimaging. 265 |
| ISSN: | 1872-7506 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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