Investigation of white matter functional networks in young smokers
Junxuan Wang,
Ting Xue,
Daining Song,
Fang Dong,
Yongxin Cheng,
Juan Wang,
Yuxin Ma,
Mingze Zou,
Shuailin Ding,
Zhanlong Tao,
Wuyuan Xin,
Dahua Yu,
Kai Yuan
Affiliations
Junxuan Wang
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Ting Xue
School of Science College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China; Corresponding author at: School of Science College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China.
Daining Song
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Fang Dong
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Yongxin Cheng
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Juan Wang
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Yuxin Ma
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Mingze Zou
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Shuailin Ding
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Zhanlong Tao
School of Science College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Wuyuan Xin
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Dahua Yu
School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China; Corresponding author at: School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China.
Kai Yuan
School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China; School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China; Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China; Corresponding author at: Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, 710071, China.
Aims: This study investigated the changes in the organizational and intrinsical activities of the white matter functional networks (WMFNs) in young smokers using resting-state functional magnetic resonance imaging. Methods: A data-driven approach was used to characterize the WMFNs of 30 young smokers and 30 non-smokers. We applied K-means clustering to the neuroimaging data to delineate the WMFNs. Functional neural activities of the WMFNs were compared between the two groups. Correlation analyses were also conducted for the WMFNs neural activities of and clinical indicators of smoking. Results: Eight WMFNs were identified in both groups. Compared to non-smokers, young smokers demonstrated a different dorsal attention network and lack of a frontostriatal network. The neural activities in the frontal network, deep frontoparietal network, and visual network were reduced in young smokers. Further correlation analyses showed that the decreased neural activity in the deep frontal network and deep frontoparietal network were significantly negatively correlated with the Fagerström Test for Nicotine Dependence. Conclusion: Young smokers exhibited differences in the organizational structure and neural activity intensities of the WMFNs. The present findings may indicate the importance of WMFNs in young smokers, which can help in obtaining a comprehensive understanding of the neural mechanisms underlying smoking addiction.
