Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA.
Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA; Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA.
Psychiatry Res Neuroimaging. 2017 Jul 30;265:45-53. doi: 10.1016/j.pscychresns.2017.04.011. Epub 2017 Apr 30.
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.
静息态功能连接（rsFC）和功能网络连接（FNC）改变，这是衡量脑网络之间相干性的一种方法，可能与尼古丁使用障碍（NUD）有关。我们假设岛叶与 1）背侧前扣带皮层（dACC）和 2）背外侧前额叶皮层（dlPFC）之间更高的连接性将预测更好的治疗效果。我们还对额外的关键额皮质和纹状体区域之间的 FNC 值与治疗结果之间的关联进行了探索性分析。144 名患有 NUD 的个体在随机分配到用伐尼克兰（n=82）或安慰剂治疗之前，在功能磁共振成像期间进行了静息状态扫描。组独立成分分析（ICA）用于从上述区域的内在连通性网络中提取个体主体成分和时间序列，并计算所有可能对之间的 FNC。岛叶与 dACC（rho=0.21）之间的 FNC 较高与较低的基线吸烟量显著相关，但在控制基线吸烟的情况下，并未预测治疗结果。在扫描前报告高主观戒断的参与者中，纹状体与 dACC、尾状核与 dACC 以及尾状核与 dlPFC 之间的 FNC 较高，显著预示着治疗效果较差。关键区域之间的 FNC 有望成为预测 NUD 治疗结果的生物标志物。
