Controllability Analysis of Structural Brain Networks in Young Smokers
10.16476/j.pibb.2024.0131
- VernacularTitle:青少年吸烟者结构脑网络的可控性分析
- Author:
Jing-Jing DING
1
;
Fang DONG
2
;
Hong-De WANG
3
;
Kai YUAN
1
;
Yong-Xin CHENG
2
;
Juan WANG
2
;
Yu-Xin MA
2
;
Ting XUE
4
;
Da-Hua YU
1
Author Information
1. School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou014010, China
2. School of Digital and Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou014010, China
3. Imaging Department, Xiling Gol League General Hospital, Xilinhot026000, China
4. School of Science, Inner Mongolia University of Science and Technology, Baotou014010, China
- Publication Type:Journal Article
- Keywords:
young smokers;
structural brain network;
controllability;
BP neural network
- From:
Progress in Biochemistry and Biophysics
2025;52(1):182-193
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.
