Abnormal brain white matter network in young smokers: a graph theory analysis study
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Previous diffusion tensor imaging (DTI) studies had investigated the white matter (WM) integrity abnormalities in some specific fiber bundles in smokers. However, little is known about the changes in topological organization of WM structural network in young smokers. In current study, we acquired DTI datasets from 58 male young smokers and 51 matched nonsmokers and constructed the WM networks by the deterministic fiber tracking approach. Graph theoretical analysis was used to compare the topological parameters of WM network (global and nodal) and the inter-regional fractional anisotropy (FA) weighted WM connections between groups. The results demonstrated that both young smokers and nonsmokers had small-world topology in WM network. Further analysis revealed that the young smokers exhibited the abnormal topological organization, i.e., increased network strength, global efficiency, and decreased shortest path length. In addition, the increased nodal efficiency predominately was located in frontal cortex, striatum and anterior cingulate gyrus (ACG) in smokers. Moreover, based on network-based statistic (NBS) approach, the significant increased FA-weighted WM connections were mainly found in the PFC, ACG and supplementary motor area (SMA) regions. Meanwhile, the network parameters were correlated with the nicotine dependence severity (FTND) scores, and the nodal efficiency of orbitofrontal cortex was positive correlation with the cigarette per day (CPD) in young smokers. We revealed the abnormal topological organization of WM network in young smokers, which may improve our understanding of the neural mechanism of young smokers form WM topological organization level.
KeywordsYoung smokers White matter (WM) Diffusion tensor imaging (DTI) Graph theory analysis (GTA)
This paper is supported by the Project for the National Natural Science Foundation of China under Grant nos. 81571751, 81571753, 61502376, 81401478, 81401488, 81470816, 61431013, 81471737, 81301281, 81271644, 81271546, 81271549, the Natural Science Basic Research Plan in Shaanxi Province of China under Grant no. 2014JQ4118, and the Fundamental Research Funds for the Central Universities under the Grant nos. JBG151207, JB161201 JB151204, JB121405, the Natural Science Foundation of Inner Mongolia under Grant no. 2014BS0610, the Innovation Fund Project of Inner Mongolia University of Science and Technology Nos. 2015QNGG03, 2014QDL002, General Financial Grant the China Post- doctoral Science Foundation under Grant no.2014 M552416.
Compliance with ethical standards
Informed consent was obtained from all individual participants included in the study.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards
Conflict of interest
The authors declare that we have no conflict of interest.
- Almeida, O. P., Garrido, G. J., Lautenschlager, N. T., Hulse, G. K., Jamrozik, K., & Flicker, L. (2008). Smoking is associated with reduced cortical regional gray matter density in brain regions associated with incipient Alzheimer disease. The American Journal of Geriatric Psychiatry, 16, 92–98.CrossRefPubMedGoogle Scholar
- Brody, A. L., Mandelkern, M. A., Lee, G., Smith, E., Sadeghi, M., Saxena, S., Jarvik, M. E., & London, E. D. (2004). Attenuation of cue-induced cigarette craving and anterior cingulate cortex activation in bupropion-treated smokers: A preliminary study. Psychiatry Research: Neuroimaging, 130, 269–281.CrossRefPubMedPubMedCentralGoogle Scholar
- Bruni, J. E., & Montemurro, D. G. (2009). Human neuroanatomy: A text, brain atlas, and laboratory dissection guide. USA: Oxford University Press.Google Scholar
- Cui, Z., Zhong, S., Xu, P., He, Y., Gong, G., 2013. PANDA: A pipeline toolbox for analyzing brain diffusion images.Google Scholar
- Feng, D., Yuan, K., Li, Y., Cai, C., Yin, J., Bi, Y., Cheng, J., Guan, Y., Shi, S., & Yu, D. (2015). Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers. Brain Imaging and Behavior, 1–11.Google Scholar
- Fornito, A., Zalesky, A., Bullmore, E., 2016. Fundamentals of brain network analysis. Academic Press.Google Scholar
- Hoeft, F., Barneagoraly, N., Haas, B. W., Golarai, G., Ng, D., Mills, D., Korenberg, J., Bellugi, U., Galaburda, A., & Reiss, A. L. (2007). More is not always better: Increased fractional anisotropy of superior longitudinal fasciculus associated with poor visuospatial abilities in Williams syndrome. The Journal of Neuroscience: the Official Journal of the Society for Neuroscience, 27, 11960–11965.CrossRefGoogle Scholar
- Jacobsen, L. K., Picciotto, M. R., Heath, C. J., Frost, S. J., Tsou, K. A., Dwan, R. A., Jackowski, M. P., Constable, R. T., & Mencl, W. E. (2007). Prenatal and adolescent exposure to tobacco smoke modulates the development of white matter microstructure. The Journal of Neuroscience, 27, 13491–13498.CrossRefPubMedGoogle Scholar
- Kim, D.-J., Skosnik, P. D., Cheng, H., Pruce, B. J., Brumbaugh, M. S., Vollmer, J. M., Hetrick, W. P., O'Donnell, B. F., Sporns, O., & Puce, A. (2011). Structural network topology revealed by white matter tractography in cannabis users: A graph theoretical analysis. Brain Connectivity, 1, 473–483.CrossRefPubMedPubMedCentralGoogle Scholar
- Limbrick-Oldfield, E. H., van Holst, R. J., & Clark, L. (2013). Fronto-striatal dysregulation in drug addiction and pathological gambling: Consistent inconsistencies? Neuro Image: Clinical, 2, 385–393.Google Scholar
- Mori, S., 2013. MRI atlas of human white matter -, S. Wakana.Google Scholar
- Paul, R. H., Grieve, S. M., Niaura, R., David, S. P., Laidlaw, D. H., Cohen, R., Sweet, L., Taylor, G., Clark, C. R., & Pogun, S. (2008). Chronic cigarette smoking and the microstructural integrity of white matter in healthy adults: A diffusion tensor imaging study. Nicotine & Tobacco Research, 10, 137–147.CrossRefGoogle Scholar
- Sun, Y., Wang, G.B., Lin, Q.X., Lu, L., Shu, N., Meng, S.Q., Wang, J., Han, H.B., He, Y., Shi, J., 2015. Disrupted white matter structural connectivity in heroin abusers. Addiction biology.Google Scholar
- Yu, D., Yuan, K., Zhang, B., Liu, J., Dong, M., Jin, C., Luo, L., Zhai, J., Zhao, L., Zhao, Y., 2015. White matter integrity in young smokers: A tract-based spatial statistics study. Addiction biology.Google Scholar
- Yuan, K., Yu, D., Bi, Y., Li, Y., Guan, Y., Liu, J., Zhang, Y., Qin, W., Lu, X., Tian, J., 2016. The implication of frontostriatal circuits in young smokers: A resting-state study. Human brain mapping.Google Scholar