Heavy smokers show abnormal microstructural integrity in the anterior corpus callosum: A diffusion tensor imaging study with tract-based spatial statistics
Abstract
Background Abnormal macrostructural brain abnormalities in both gray matter and white matter have been reported in cigarette smokers. However, less is known about white matter microstructure in heavy cigarette smokers. In this study, we used diffusion tensor imaging (DTI) to investigate the integrity of the white matter microstructure in heavy smokers.Methods Thirty-four heavy smokers and 34 non-smokers participated in this study. Whole brain analysis of fractional anisotropy (FA) was performed using tract-based spatial statistics (TBSS) to detect abnormal white matter regions between groups. Volume-of-interest (VOI) analysis was used to investigate changes in diffusivity indices in the regions showing FA abnormalities. Multiple regression analysis was applied to assess the relationships between diffusion indices and smoking-related variables in heavy smokers.Results Compared with non-smokers, heavy smokers had lower FA in the left anterior (i.e., the genu and rostral body) corpus callosum while exhibiting no areas of higher FA. In the affected region, FA reduction was accompanied by a significantly decreased axial diffusivity and increased radial diffusivity, which suggests that axonal damage and disrupted myelin integrity may be associated with the degraded white matter integrity in heavy smokers. Moreover, significant positive correlations were found between both radial diffusivity and mean diffusivity and the duration of regular smoking.Conclusions Our findings suggest that heavy smokers demonstrate abnormal integrity of the white matter microstructure in the anterior corpus callosum, which is related to the duration of regular smoking. In addition, our study may increase the understanding of the neurobiological basis of chronic cigarette smoking.
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In chronic nicotine users, heavy consumption is associated with lower FA.
“In chronic nicotine users, heavy consumption has been associated with lower FA (Lin, Wu, Zhu, & Lei, 2013)”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Lin, Wu, Zhu, & Lei, 2013
In chronic nicotine users, heavy consumption is associated with higher RD.
“and higher RD (Lin et al., 2013).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Lin et al., 2013
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139 · see citing works
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738 · see citing works
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256 · see citing works
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C., Watkins, K., Ciccarelli, O., Cader, M., Matthews, P., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,035 · see citing works
The mini international neuropsychiatric interview
Lecrubier, Y., Sheehan, D. V., Hergueta, T., & Weiller, E. (1998) · European Psychiatry · doi:10.1016/s0924-9338(99)80239-9 · Cited by 5,882 · see citing works
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · see citing works
Danaei, G., Ding, E. L., Mozaffarian, D., Taylor, B., Rehm, J., Murray, C. J. L., & Ezzati, M. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000058 · Cited by 2,860 · see citing works
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582 · see citing works
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738 · see citing works
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658 · see citing works
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571 · see citing works
Fiber composition of the human corpus callosum
Aboitiz, F., Scheibel, A. B., Fisher, R. S., & Eran Zaidel, B. (1992) · Brain Research · doi:10.1016/0006-8993(92)90178-c · Cited by 1,467 · see citing works
Estimates of global mortality attributable to smoking in 2000
Ezzati, M., & Lopez, A. D. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14338-3 · Cited by 1,247 · see citing works
Jeurissen, B., Leemans, A., Tournier, J., Jones, D. K., & Sijbers, J. (2013) · Human Brain Mapping · doi:10.1002/hbm.22099 · Cited by 1,088 · see citing works
About “axial” and “radial” diffusivities
Wheeler‐Kingshott, C. A. M., & Cercignani, M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21965 · Cited by 885 · see citing works
Franklin, T. R., Acton, P. D., Maldjian, J. A., Gray, J. D., Croft, J. R., Dackis, C. A., O’Brien, C. P., & Childress, A. R. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01269-0 · Cited by 600 · see citing works
The Effects of Tobacco Smoke and Nicotine on Cognition and the Brain
Swan, G. E., & Lessov‐Schlaggar, C. N. (2007) · Neuropsychology Review · doi:10.1007/s11065-007-9035-9 · Cited by 580 · see citing works
Sun, S., Liang, H., Trinkaus, K., Cross, A. H., Armstrong, R. C., & Song, S. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20774 · Cited by 461 · see citing works
Differences between smokers and nonsmokers in regional gray matter volumes and densities
Brody, A. L., Mandelkern, M. A., Jarvik, M. E., Lee, G. S., Smith, E. C., Huang, J. C.-S., Bota, R. G., Bartzokis, G., & London, E. D. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00610-3 · Cited by 384 · see citing works
m, K. F. (2002) · Drugs · doi:10.2165/00003495-200262002-00001 · Cited by 377 · see citing works
Decreased Volume of the Brain Reward System in Alcoholism
Makris, N., Oscar-Berman, M., Jaffin, S. K., Hodge, S. M., Kennedy, D. N., Caviness, V. S., Marinkovic, K., Breiter, H. C., Gasic, G. P., & Harris, G. J. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.01.018 · Cited by 372 · see citing works
Smoking and structural brain deficits: a volumetric MR investigation
Gallinat, J., Meisenzahl, E., Jacobsen, L. K., Kalus, P., Bierbrauer, J., Kienast, T., Witthaus, H., Leopold, K., Seifert, F., Schubert, F., et al. (2006) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2006.05050.x · Cited by 330 · see citing works
Gray matter abnormalities in internet addiction: a voxel-based morphometry study
Zhou, Y., Lin, F.-C., Du, Y.-S., Qin, L.-D., Zhao, Z.-M., Xu, J.-R., & Lei, H. (2011) · European Journal of Radiology · doi:10.1016/j.ejrad.2009.10.025 · Cited by 301 · see citing works
Self-citationLin, F., Zhou, Y. F., Du, Y., Qin, L.-D., Zhao, Z., Jian-rong, X., & Lei, H. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030253 · Cited by 278 · see citing works
Self-citationMoeller, F. G., Hasan, K. M., Steinberg, J. L., Kramer, L. A., Dougherty, D. M., Santos, R. M., Valdes, I., Swann, A. C., Barratt, E. S., & Narayana, P. A. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300617 · Cited by 263 · see citing works
Pfefferbaum, A., Adalsteinsson, E., & Sullivan, E. V. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.05.007 · Cited by 221 · see citing works
DeBoy, C. A., Zhang, J., Dike, S., Shats, I., Jones, M., Reich, D. S., Mori, S., Nguyen, T., Rothstein, B. D., Miller, R. H., et al. (2007) · Brain · doi:10.1093/brain/awm122 · Cited by 198 · see citing works
Smoking as a Risk Factor for Recurrence of Sudden Cardiac Arrest
Hallstrom, A. P., Cobb, L. A., & Ray, R. M. (1986) · New England Journal of Medicine · doi:10.1056/nejm198601303140502 · Cited by 193 · see citing works
Factors underlying prefrontal and insula structural alterations in smokers
Zhang, X., Salmeron, B. J., Ross, T. J., Geng, X., Yang, Y., & Stein, E. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.008 · Cited by 188 · see citing works
Prefrontal and temporal gray matter density decreases in opiate dependence
Lyoo, I. K., Pollack, M. H., Silveri, M. M., Ahn, K. H., Diaz, C. I., Hwang, J., Kim, S. J., Yurgelun-Todd, D. A., Kaufman, M. J., & Renshaw, P. F. (2006) · Psychopharmacology · doi:10.1007/s00213-005-0198-x · Cited by 178 · see citing works
Schwartz, D. L., Mitchell, A. D., Lahna, D. L., Luber, H. S., Huckans, M. S., Mitchell, S. H., & Hoffman, W. F. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.056 · Cited by 171 · see citing works
Smoking and hypertension as predictors of cardiovascular risk in population studies.
Kannel, W. B., & Higgins, M. (1990) · PubMed · Cited by 166 · see citing works
Gazdzinski, S., Durazzo, T. C., Studholme, C., Song, E., Banys, P., & Meyerhoff, D. J. (2005) · Alcoholism: Clinical & Experimental Research · doi:10.1097/01.alc.0000175018.72488.61 · Cited by 160 · see citing works
Disabilities, Quality of Life, and Mental Disorders Associated With Smoking and Nicotine Dependence
Schmitz, N., Kruse, J., & Kügler, J. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.9.1670 · Cited by 156 · see citing works
Prefrontal grey-matter changes in short-term and long-term abstinent methamphetamine abusers
Kim, S. J., Lyoo, I. K., Hwang, J., Chung, A., Sung, Y. H., Kim, J. H., Kwon, D.-H., Chang, K. H., & Renshaw, P. F. (2005) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145705005699 · Cited by 152 · see citing works
Brain macrostructural and microstructural abnormalities in cocaine dependence
Lim, K. O., Wozniak, J. R., Mueller, B. A., Franc, D. T., Specker, S. M., Rodriguez, C. P., Silverman, A. B., & Rotrosen, J. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.07.019 · Cited by 149 · see citing works
White matter microstructure in opiate addiction
Bora, E., Yücel, M., Fornito, A., Pantelis, C., Harrison, B. J., Cocchi, L., Pell, G., & Lubman, D. I. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2010.00266.x · Cited by 130 · see citing works
Paul, R., Grieve, S., Niaura, R., David, S., Laidlaw, D., Cohen, R., Sweet, L., Taylor, G., Clark, R., Pogun, S., et al. (2008) · Nicotine & Tobacco Research · doi:10.1080/14622200701767829 · Cited by 129 · see citing works
Liao, Y., Tang, J., Liu, T., Chen, X., & Hao, W. (2010) · Addiction Biology · doi:10.1111/j.1369-1600.2010.00250.x · Cited by 119 · see citing works
Cigarette smoking and white matter microstructure
Hudkins, M., O’Neill, J., Tobias, M. C., Bartzokis, G., & London, E. D. (2012) · Psychopharmacology · doi:10.1007/s00213-011-2621-9 · Cited by 95 · see citing works
Salo, R. E., NORDAHL, T. E., Buonocore, M. H., Natsuaki, Y., Waters, C., Moore, C. D., Galloway, G. P., & Leamon, M. H. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.08.004 · Cited by 94 · see citing works
Liu, H., Li, L., Hao, Y., Cao, D., Xu, L., Rohrbaugh, R. M., Xue, Z., Hao, W., Shan, B., & Liu, Z. (2008) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990802295238 · Cited by 84 · see citing works
Wu, Q., Butzkueven, H., Gresle, M. M., Kirchhoff, F., Friedhuber, A. M., Yang, Q., Wang, H., Fang, K., Lei, H. C., Egan, G. F., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.029 · Cited by 80 · see citing works
Self-citationDiffusion tensor imaging and tract-based spatial statistics in obsessive-compulsive disorder
Nakamae, T., Narumoto, J., Sakai, Y., Nishida, S., Yamada, K., Nishimura, T., & Fukui, K. (2010) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2010.09.016 · Cited by 79 · see citing works
Regional Grey and White Matter Changes in Heavy Male Smokers
Yu, R., Zhao, L., & Lü, L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027440 · Cited by 77 · see citing works
Diffusion tensor imaging eigenvalues: Preliminary evidence for altered myelin in cocaine dependence
Moeller, F. G., Hasan, K. M., Steinberg, J. L., Kramer, L. A., Valdes, I., Lai, L. Y., Swann, A. C., & Narayana, P. A. (2007) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2006.11.004 · Cited by 73 · see citing works
Li, F. Y., Huang, X., Yang, Y., Li, B., Wu, Q., Zhang, T., Lui, S., Kemp, G. J., & Gong, Q. (2011) · Radiology · doi:10.1148/radiol.11101971 · Cited by 73 · see citing works
Liao, Y., Tang, J., Deng, Q., Deng, Y., Luo, T., Wang, X., Chen, H., Liu, T., Chen, X., Brody, A. L., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026460 · Cited by 48 · see citing works
Kim, I.-S., Kim, Y., Song, H., Lee, J.-J., Kwon, D.-H., Lee, H. J., Kim, M., Yoo, D., & Chang, Y. (2008) · NeuroToxicology · doi:10.1016/j.neuro.2008.12.002 · Cited by 43 · see citing works
Diffusion Tensor Imaging in MDMA Users and Controls: Association with Decision Making
Moeller, F. G., Steinberg, J. L., Lane, S. D., Buzby, M., Swann, A. C., Hasan, K. M., Kramer, L. A., & Narayana, P. A. (2007) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990701651564 · Cited by 39 · see citing works
The global tobacco disease pandemic: Nature, causes, and cures
Warner, K. E., & Mackay, J. M. (2006) · Global Public Health · doi:10.1080/17441690500430771 · Cited by 36 · see citing works
Flagged first, then by citations
3 of the 55 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Neural circuitry of impaired emotion regulation in substance use disorders
Wilcox, C. E., Pommy, J. M., & Adinoff, B. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15060710 · Cited by 213 · see citing works
Ceceli, A. O., Bradberry, C. W., & Goldstein, R. Z. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01153-9 · Cited by 150 · see citing works
Wassenaar, T. M., Yaffe, K. S., van der Werf, Y. D., & Sexton, C. E. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.04.006 · Cited by 106 · see citing works
Hampton, W. H., Hanik, I. M., & Olson, I. R. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.02.005 · Cited by 95 · see citing works
Altered brain functional networks in heavy smokers
Lin, F., Wu, G., Zhu, L., & Lei, H. C. (2014) · Addiction Biology · doi:10.1111/adb.12155 · Cited by 72 · see citing works
Self-citationAssociations of cigarette smoking with gray and white matter in the UK Biobank
Gray, J. C., Thompson, M. F., Benca‐Bachman, C. E., Owens, M. M., Murphy, M. A., & Palmer, R. H. C. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0630-2 · Cited by 68 · see citing works
Characterizing white matter changes in cigarette smokers via diffusion tensor imaging
Savjani, R. R., Velasquez, K. M., Thompson-Lake, D. G. Y., Baldwin, P. R., Eagleman, D. M., Garza, R. D. L., & Salas, R. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.10.006 · Cited by 68 · see citing works
White matter integrity in young smokers: a tract-based spatial statistics study
Yu, D., Yuan, K., Zhang, B., Liu, J., Dong, M., Jin, C., Luo, L., Zhai, J., Zhao, L., Zhao, Y., et al. (2015) · Addiction Biology · doi:10.1111/adb.12237 · Cited by 61 · see citing works
Gogliettino, A. R., Potenza, M. N., & Yip, S. W. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.02.015 · Cited by 56 · see citing works
The nicotinic cholinergic system function in the human brain
Nees, F. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.10.021 · Cited by 53 · see citing works
Neuropathology of cigarette smoking
Chang, R. C., Ho, J. Y. S., Wong, C. S., Gentleman, S. M., & Ng, H. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1210-x · Cited by 53 · see citing works
Drakesmith, M., Dutt, A., Fonville, L., Zammit, S., Reichenberg, A., Evans, J., Lewis, G., Jones, D. K., & David, A. S. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.3375 · Cited by 50 · see citing works
Altered spontaneous brain activity in heavy smokers revealed by regional homogeneity
Wu, G., Yang, S., Zhu, L., & Lin, F. (2015) · Psychopharmacology · doi:10.1007/s00213-015-3881-6 · Cited by 46 · see citing works
Self-citationCao, J., Wang, J., Dwyer, J. B., Gautier, N. M., Wang, S., Leslie, F. M., & Li, M. D. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.21 · Cited by 43 · see citing works
The implication of salience network abnormalities in young male adult smokers
Li, Y., Yuan, K., Guan, Y., Cheng, J., Bi, Y., Shi, S., Xue, T., Lu, X., Qin, W., Yu, D., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9568-8 · Cited by 42 · see citing works
Koo, D. L., Kim, H. R., Kim, H., Seong, J., & Joo, E. Y. (2019) · SLEEP · doi:10.1093/sleep/zsz247 · Cited by 41 · see citing works
Abnormal White Matter Integrity in the Corpus Callosum among Smokers: Tract-Based Spatial Statistics
Umene‐Nakano, W., Yoshimura, R., Kakeda, S., Watanabe, K., Hayashi, K., Nishimura, J., Takahashi, H., Moriya, J., Ide, S., Ueda, I., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087890 · Cited by 40 · see citing works
Huang, W., DiFranza, J. R., Kennedy, D. N., Zhang, N., Ziedonis, D. M., Ursprung, S. A., & King, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067837 · Cited by 38 · see citing works
Krakauer, K., Ebdrup, B. H., Glenthoj, B. Y., Raghava, J. M., Nordholm, D., Randers, L., Rostrup, E., & Nordentoft, M. (2017) · Psychological Medicine · doi:10.1017/s0033291717001210 · Cited by 38 · see citing works
Glial-neuronal ensembles: partners in drug addiction-associated synaptic plasticity
Cadet, J. L., & Bisagno, V. (2014) · Frontiers in Pharmacology · doi:10.3389/fphar.2014.00204 · Cited by 37 · see citing works
Cohen, A., Soleiman, M. T., Talia, R., Koob, G. F., George, O., & Mandyam, C. D. (2014) · Psychopharmacology · doi:10.1007/s00213-014-3685-0 · Cited by 34 · see citing works
Viswanath, H., Velasquez, K. M., Thompson-Lake, D. G. Y., Savjani, R. R., Carter, A. Q., Eagleman, D. M., Baldwin, P. R., Garza, R. D. L., & Salas, R. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00116 · Cited by 32 · see citing works
Low Smoking Exposure, the Adolescent Brain, and the Modulating Role of CHRNA5 Polymorphisms
Chaarani, B., Kan, K.-J., Mackey, S., Spechler, P. A., Potter, A., Orr, C., D’Alberto, N., Hudson, K. E., Banaschewski, T., Bokde, A. L. W., et al. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.02.006 · Cited by 32 · see citing works
Monnig, M. A., Yeo, R. A., Tonigan, J. S., McCrady, B. S., Thoma, R. J., Sabbineni, A., & Hutchison, K. E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142042 · Cited by 30 · see citing works
van Ewijk, H., Groenman, A. P., Zwiers, M. P., Heslenfeld, D. J., Faraone, S. V., Hartman, C. A., Luman, M., Greven, C. U., Hoekstra, P. J., Franke, B., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22695 · Cited by 30 · see citing works
Gaudreault, P., King, S. G., Malaker, P., Nelly Alia-klein, A., & Goldstein, R. Z. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01833-y · Cited by 27 · see citing works
Altered interhemispheric resting‐state functional connectivity in young male smokers
Yu, D., Yuan, K., Bi, Y., Luo, L., Zhai, J., Liu, B., Li, Y., Cheng, J., Guan, Y., Xue, T., et al. (2017) · Addiction Biology · doi:10.1111/adb.12515 · Cited by 26 · see citing works
White matter microstructural correlates of relapse in alcohol dependence
Zou, Y., Murray, D. E., Durazzo, T. C., Schmidt, T. P., Murray, T. A., & Meyerhoff, D. J. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.09.004 · Cited by 25 · see citing works
Nicotine consumption during the prodromal phase of schizophrenia – a review of the literature
Γώγος, Α., Σκώκου, Μ., Ferentinou, E., & Gourzis, P. (2019) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s210199 · Cited by 25 · see citing works
Chang, L., Liang, H., Kandel, S. R., & He, J. J. (2020) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-020-09963-2 · Cited by 22 · see citing works
Zou, Y., Murray, D. E., Durazzo, T. C., Schmidt, T. P., Murray, T. A., & Meyerhoff, D. J. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.01.032 · Cited by 22 · see citing works
Liang, H., Chang, L., Chen, R., Oishi, K., & Ernst, T. (2018) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-018-9810-9 · Cited by 22 · see citing works
Imaging neuroinflammation in individuals with substance use disorders
Li, X., Ramos-Rolón, A. P., Kass, G., Pereira-Rufino, L. D. S., Shifman, N., Shi, Z., Volkow, N. D., & Wiers, C. E. (2024) · Journal of Clinical Investigation · doi:10.1172/jci172884 · Cited by 20 · see citing works
White matter fiber-specific degeneration in older adults with metabolic syndrome
Andica, C., Kamagata, K., Uchida, W., Takabayashi, K., Shimoji, K., Kaga, H., Someya, Y., Tamura, Y., Kawamori, R., Watada, H., et al. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101527 · Cited by 20 · see citing works
Environmental tobacco smoke in the early postnatal period induces impairment in brain myelination
Torres, L. H., Annoni, R., Balestrin, N. T., Coleto, P. L., Duro, S. D. O., Garcia, R. C. T., Pacheco-Neto, M., Mauad, T., Camarini, R., Britto, L. R., et al. (2014) · Archives of Toxicology · doi:10.1007/s00204-014-1343-2 · Cited by 16 · see citing works
The effects of chronic smoking on the pathology of alcohol-related brain damage
McCorkindale, A. N., Sheedy, D. L., Kril, J. J., & Sutherland, G. T. (2016) · Alcohol · doi:10.1016/j.alcohol.2016.04.002 · Cited by 17 · see citing works
Discrimination of smoking status by MRI based on deep learning method
Wang, S., Zhang, R., Deng, Y., Chen, K., Xiao, D., Peng, P., & Jiang, T. (2018) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2018.12.04 · Cited by 16 · see citing works
Nicotine in action: cigarette smoking modulated homotopic functional connectivity in schizophrenia
Liao, W., Yang, S., Li, J., Fan, Y., Duan, X., Cui, Q., & Chen, H. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-0001-3 · Cited by 15 · see citing works
Nicotine Effects on White Matter Microstructure in Young Adults
Kangiser, M. M., Thomas, A. M., Kaiver, C. M., & Lisdahl, K. M. (2018) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acy101 · Cited by 16 · see citing works
Wang, S., Zuo, L., Jiang, T., Peng, P., Chu, S., & Xiao, D. (2017) · Neurological Research · doi:10.1080/01616412.2017.1379277 · Cited by 12 · see citing works
Abnormal white matter tracts of insula in smokers
Wang, C., Wang, S., Huang, P., Shen, Z., Qian, W. P., Luo, X., Li, K., Zeng, Q., Gu, Q., Yu, H., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00389-1 · Cited by 13 · see citing works
Altered White Matter Integrity in Smokers Is Associated with Smoking Cessation Outcomes
Huang, P., Shen, Z., Wang, C., Qian, W. P., Zhang, H., Yang, Y., & Zhang, M. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00438 · Cited by 12 · see citing works
Dai, X., Zhang, J., Gao, L., Yu, J., Li, Y., Du, B., Huang, X., & Zhang, H. (2021) · Neuroreport · doi:10.1097/wnr.0000000000001579 · Cited by 10 · see citing works
Region-Specific Changes of Insular Cortical Thickness in Heavy Smokers
Lin, F., Wu, G., Zhu, L., & Lei, H. C. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00265 · Cited by 11 · see citing works
Self-citationPark, G., Kwak, K., Seo, S. W., & Lee, J. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00629 · Cited by 11 · see citing works
The interaction effects of age, APOE and common environmental risk factors on human brain structure
Chen, J., Li, T., Zhao, B., Chen, H., Yuan, C., Garden, G. A., Guorong Wu, A., & Hongtu Zhu, B. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad472 · Cited by 10 · see citing works
Characterizing the Structural Pattern of Heavy Smokers Using Multivoxel Pattern Analysis
Ye, Y., Zhang, J., Huang, B., Cai, X., Wang, P., Zeng, P., Wu, S., Ma, J., Huang, H., Liu, H., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.607003 · Cited by 10 · see citing works
Self-citationMueller, S. G., & Meyerhoff, D. J. (2019) · Addiction Biology · doi:10.1111/adb.12860 · Cited by 9 · see citing works
White matter pathways as both a target and mediator of health behaviors
Porter, A., Leckie, R. L., & Verstynen, T. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13708 · Cited by 8 · see citing works
Huang, H., Zhang, Y., Cheng, J., Wang, W., & Wen, M. (2020) · Medical Science Monitor · doi:10.12659/msm.919105 · Cited by 8 · see citing works
Structural Brain Imaging and Internet Addiction
Lin, F., & Lei, H. (2015) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-07242-5_2 · Cited by 7 · see citing works
Self-citationChen, Q., Hou, H., Feng, J. T., Zhang, X., Chen, Y., Wang, J., Ji, J., He, X., Wu, H., & Zhang, H. (2018) · Molecular Imaging and Biology · doi:10.1007/s11307-018-1188-9 · Cited by 8 · see citing works
Associations between different white matter properties and reward-based performance modulation
Park, H. R. P., Verhelst, H., Quak, M., Jeurissen, B., & Krebs, R. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02222-x · Cited by 9 · see citing works
Khedr, E. M., Abdelrahman, A. A., Safwat, S. M., Moheb, A., & Noaman, M. M. (2021) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2021.05.001 · Cited by 7 · see citing works
Graphical Structural Learning of rs-fMRI Data in Heavy Smokers
Gong, Y., Zhang, Q., Zheng, H., Liu, Z., & Chen, S. (2024) · International Conference on Computer Science and Blockchain (CCSB) · doi:10.1109/ccsb63463.2024.10735529 · Cited by 7 · see citing works
Disruption of white matter connectivity in chronic obstructive pulmonary disease
Spilling, C. A., Jones, P., Dodd, J. W., & Barrick, T. R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223297 · Cited by 6 · see citing works
Frontal White Matter Changes and Craving Recovery in Inpatients With Heroin Use Disorder
Gaudreault, P., King, S. G., Huang, Y., Ceceli, A. O., Kronberg, G., Nelly Alia-klein, A., & Goldstein, R. Z. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.51678 · Cited by 6 · see citing works
Jiang, L., Han, X., Wang, Y., Ding, W., Sun, Y., Zhou, Y. F., & Lin, F. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00963-x · Cited by 4 · see citing works
Self-citationRole of deep brain stimulation (DBS) in addiction disorders
Iqbal, J., Mansour, M. N. M., Saboor, H. A., Suyambu, J., Lak, M. A., Zeeshan, M. H., Hafeez, M. H., Arain, M. A., Mehmood, M., Mehmood, D., et al. (2023) · Surgical Neurology International · doi:10.25259/sni_662_2023 · Cited by 4 · see citing works
Durhan, G., Diker, S., Has, A. C., Karakaya, J., Kurne, A., & Oğuz, K. K. (2016) · Diagnostic and Interventional Radiology · doi:10.5152/dir.2015.15415 · Cited by 4 · see citing works
White matter integrity in alcohol-dependent patients with long-term abstinence
Lee, J., Ju, G., Son, J.-W., Shin, C.-J., Lee, S.-I., Park, H., & Kim, S. (2021) · Medicine · doi:10.1097/md.0000000000026078 · Cited by 3 · see citing works
Gaudreault, P., King, S. G., Malaker, P., Nelly Alia-klein, A., & Goldstein, R. Z. (2022) · medRxiv · doi:10.1101/2022.03.22.22272765 · Cited by 3 · see citing works
FRONTAL WHITE MATTER CHANGES INDICATE RECOVERY WITH INPATIENT TREATMENT IN HEROIN ADDICTIONPreprint
Gaudreault, P., King, S. G., Huang, Y., Ceceli, A. O., Kronberg, G., Nelly Alia-klein, A., & Goldstein, R. Z. (2024) · medRxiv · doi:10.1101/2024.06.10.24308719 · Cited by 3 · see citing works
Modeling multivariate age‐related imaging variables with dependencies
Lee, H., Chen, C., Kochunov, P. V., Hong, L. E., & Chen, S. (2022) · Statistics in Medicine · doi:10.1002/sim.9522 · Cited by 2 · see citing works
Qi, S., Fu, Z., Wu, L., Calhoun, V. D., Zhang, D., Daughters, S. B., Hsu, P.-C., Jiang, R., Vergara, V. M., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.923065 · Cited by 2 · see citing works
Nicotine Dependence and the Anterior Cingulate-Precuneus Pathway
DiFranza, J. R., Huang, W., & King, J. A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800213-1.00032-8 · Cited by 2 · see citing works
Alcohol and Its Impact on Myelin
Guerri, C., & Pascual, M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800213-1.00039-0 · Cited by 2 · see citing works
Agunbiade, K., Fonville, L., McGonigle, J., Elliott, R., Ersche, K. D., Flechais, R., Orbán, C., Murphy, A., Smith, D. G., John Suckling, A., et al. (2022) · Addiction Biology · doi:10.1111/adb.13207 · Cited by 2 · see citing works
Chen, D., Li, Z., Xie, M., Wang, T., Li, R., Chen, Y., Li, S., Zhang, Q., Ling, Y., Liang, X., et al. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1653926 · Cited by 1 · see citing works
Aberrant callosal morphology in ex-smokers
Dale, C. V., Kalantary, D., Eileen Luders, A., & Kurth, F. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2104101 · Cited by 1 · see citing works
Bilaus, B., Turchinski, N. R., Ahdoot, H. L., Gavish, R. E., Shany, O., Maayan, R., Rosca, P., Weizman, A., Delayahu, Y., Yadid, G., et al. (2023) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000001176 · Cited by 1 · see citing works
Hulvershorn, L. A., Hummer, T. A., Wu, Y., Tarter, R. E., Rea, P., Anand, A., Chambers, R. A., & Finn, P. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9679-x · Cited by 1 · see citing works
Structural Brain Imaging and Internet Addiction
Lin, F., & Lei, H. C. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-46276-9_3 · Cited by 1 · see citing works
Self-citationBrain MRI correlates of depression and vascular risk: Whitehall Imaging sub-study
Allan, C. (2014) · UCL Discovery (University College London) · Cited by 1 · see citing works
Detection of Pathologic Changes Following Traumatic Brain Injury Using Magnetic Resonance Imaging
Brandstack, N. (2013) · UTUPub (University of Turku)
Cortical Connectivity in Alcoholism
Chumin, E. J. (2019) · IUScholarWorks (Indiana University) · doi:10.7912/c2/2073
Jiang, L., Kang, Y., Han, X., Wang, Y., Ding, W., Sun, Y., Zhou, Y. F., Han, H., & Lin, F. (2025) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2025.112948
Self-citationShahir, A. A. A., Gharib, M. H., Ramsheh, M. S., Zahedpasha, R., Razman, A., Omidi, A., Kharazm, P., Amir, G., Ghorbani, S., & Hashemian, S.-S. (2026) · BMC Medical Imaging · doi:10.1186/s12880-026-02211-8
Luster, C. B., Morie, K. P., Legido, J., Mayes, L. C., Potenza, M. N., & Zhai, Z. W. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122185
- Authors
- Lin, F., Wu, G., Zhu, L., & Lei, H.
- Affiliations
- Chinese Academy of Sciences (CN)
- Wuhan University (CN)
- Corresponding author
- Wu, Guangyao
- Lei, Hao
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 129
- Issue
- 1-2
- Pages
- 82-87
- ISSN
- 0376-8716 (ISSN-L)
- OpenAlex
- W2000010321
- Cited by
- 79
- References
- 55
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 6 · 2020: 4 · 2019: 9 · 2018: 8 · 2017: 7 · 2016: 8 · 2015: 5 · 2014: 9 · 2013: 4
- FWCI
- 4.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Drug and Alcohol Dependence (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- heavy smoking, cigarette smoking, anterior corpus callosum, white matter microstructure, fractional anisotropy, radial diffusivity, axial diffusivity, mean diffusivity, smoking duration, axonal injury, myelin integrity
- MeSH terms
- Adult, Corpus Callosum, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Smoking, Linear Models, Anisotropy, Diffusion Tensor Imaging
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