| Literature DB >> 27437925 |
Yangding Li1,2, Kai Yuan3,4,5, Yanyan Guan1,2, Jiadong Cheng1,2, Yanzhi Bi1,2, Sha Shi1,2, Ting Xue6, Xiaoqi Lu7, Wei Qin1,2, Dahua Yu8, Jie Tian1,2,9.
Abstract
Studying the neural correlates of smoking behaviors in young adulthood is of great importance to improve treatment outcomes. In previous addiction studies, the important roles of the salience network (SN) in drug cue processing and cognitive control have been revealed. Unfortunately, few studies focused on the resting-state functional connectivity and structural integrity abnormalities of SN in young adult smokers, and less is known about its association with smoking behaviors and cognitive control deficits. Thirty-one young male adult smokers and 30 age-, education- and gender-matched nonsmokers participated in this study. The structural and functional connectivity differences of SN were investigated between young adult smokers and nonsmokers by using diffusion tensor imaging (DTI) and resting-state functional connectivity (RSFC), which were then correlated with the smoking behavioral assessments (pack-years and Fagerström Test for Nicotine Dependence (FTND)) as well as impaired cognitive control measured by the Stroop task. Within SN, reduced RSFC and increased fractional anisotropy (FA) were found between the anterior cingulate cortex (ACC) and the right insula in young adult smokers relative to nonsmokers. The RSFC between the ACC and right insula was negatively correlated with the number of errors during the incongruent condition of the Stroop task in young adult smokers. Additionally, the right insula-ACC RSFC was negatively correlated with pack-years in young adult smokers. Our results revealed abnormal RSFC and structural integrity within the SN in young adult smokers, which shed new insights into the neural mechanism of nicotine dependence.Entities:
Keywords: Diffusion tensor imaging; Resting-state functional connectivity; Salience network; Stroop task; Young adult smoker
Mesh:
Year: 2017 PMID: 27437925 DOI: 10.1007/s11682-016-9568-8
Source DB: PubMed Journal: Brain Imaging Behav ISSN: 1931-7557 Impact factor: 3.978