Yu Dahua, Yuan Kai, Zhang Baohua, Liu Jixin, Dong Minghao, Jin Chenwang, Luo Lin, Zhai Jinquan, Zhao Ling, Zhao Ying, Gu Yu, Xue Ting, Liu Xin, Lu Xiaoqi, Qin Wei, Tian Jie
Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, China.
Life Sciences Research Center, School of Life Science and Technology, Xidian University, China.
Addict Biol. 2016 May;21(3):679-87. doi: 10.1111/adb.12237. Epub 2015 Mar 5.
Previous diffusion tensor imaging (DTI) studies revealed contradictory effects of smoking on fractional anisotropy (FA). Multiple DTI-derived indices may help to deduce the pathophysiological type of white matter (WM) changes and provide more specific biomarkers of WM neuropathology in the whole brain of young smokers. Twenty-three young smokers and 22 age-, education- and gender-matched healthy non-smoking controls participated in this study. Tract-based spatial statistics was employed to investigate the WM microstructure in young smokers by integrating multiple indices, including FA, mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD). Compared with healthy non-smoking controls, young smokers showed significantly increased FA with increased AD and decreased RD in several brain regions, while no difference in MD was observed. Specifically, the overlapped WM regions with increased FA, increased AD and decreased RD were found in the right posterior limb of the internal capsule, the right external capsule and the right superior corona radiata. Additionally, average FA and RD values in the WM regions mentioned earlier were significantly correlated with pack-years and Fagerström Test for Nicotine Dependence, while no correlation in AD was found. The WM tracts with increased FA may be more associated with RD, rather than AD in young smokers. We suggested that WM properties of several fibres in young smokers may be the biomarker as the cumulative effect and severity of nicotine dependence.
以往的扩散张量成像(DTI)研究揭示了吸烟对分数各向异性(FA)的矛盾影响。多个DTI衍生指标可能有助于推断白质(WM)变化的病理生理类型,并为年轻吸烟者全脑的WM神经病理学提供更具体的生物标志物。23名年轻吸烟者和22名年龄、教育程度和性别匹配的健康非吸烟对照者参与了本研究。采用基于纤维束的空间统计学方法,通过整合包括FA、平均扩散率(MD)、径向扩散率(RD)和轴向扩散率(AD)在内的多个指标,研究年轻吸烟者的WM微观结构。与健康非吸烟对照者相比,年轻吸烟者在几个脑区的FA显著增加,AD增加,RD降低,而MD未观察到差异。具体而言,在内囊右后肢、右外囊和右放射冠上发现了FA增加、AD增加和RD降低的重叠WM区域。此外,上述WM区域的平均FA和RD值与吸烟包年数和尼古丁依赖的Fagerström测试显著相关,而AD未发现相关性。在年轻吸烟者中,FA增加的WM纤维束可能与RD的相关性更大,而不是与AD相关。我们认为,年轻吸烟者中几条纤维的WM特性可能作为尼古丁依赖的累积效应和严重程度的生物标志物。