Format

Send to

Choose Destination
Brain Imaging Behav. 2017 Aug;11(4):943-953. doi: 10.1007/s11682-016-9568-8.

The implication of salience network abnormalities in young male adult smokers.

Li Y1,2, Yuan K3,4,5, Guan Y1,2, Cheng J1,2, Bi Y1,2, Shi S1,2, Xue T6, Lu X7, Qin W1,2, Yu D8, Tian J1,2,9.

Author information

1
School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.
2
Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, People's Republic of China.
3
School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China. kyuan@xidian.edu.cn.
4
Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, People's Republic of China. kyuan@xidian.edu.cn.
5
Information Processing Laboratory, School of Information Engineering, Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China. kyuan@xidian.edu.cn.
6
School of Mathematics, Physics and Biological Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
7
Information Processing Laboratory, School of Information Engineering, Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
8
Information Processing Laboratory, School of Information Engineering, Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China. fmydh@imust.edu.cn.
9
Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China.

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.

KEYWORDS:

Diffusion tensor imaging; Resting-state functional connectivity; Salience network; Stroop task; Young adult smoker

PMID:
27437925
DOI:
10.1007/s11682-016-9568-8
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center