大学生手机依赖者大脑白质纤维结构的磁共振弥散张量成像研究

A DTI study of brain white matter fibers in mobile phone addic of college students

目的运用弥散张量成像(diffusion tensor imagine,DTI)方法观察手机依赖组与正常被试组之间的大脑白质纤维束微结构完整性的差异,探讨手机依赖症大脑白质纤维束微结构改变的特征。材料与方法 25名手机依赖症者与23名健康对照者参加本研究,研究对象均为广州中医药大学深圳创新班的在校大学生。采用西门子3.0 T Trio MRI扫描仪进行DTI数据采集,组间各向异性分数(fractional anisotropy,FA)比较采用基于体素分析(voxel-based analysis,VBA)方法,采用双样本t检验分析两组差异,并进行Alpha Sim校正,取个数大于26的体素集合,校正后P<0.005的像素被认为差异具有统计学意义;人口学统计比较采用SPSS 13.0软件中的两样本t检验。结果与正常组相比,手机依赖症组多个脑区FA值降低,主要包括额上回、眶额回、岛叶、中脑腹侧被盖区、海马、丘脑、小脑等功能区(P<0.005);未发现FA值升高区域(P<0.005)。结论手机依赖组在上述区域的白质纤维束微结构已发生变化,区域主要涉及奖赏环路、控制及执行能力等相关脑区。

Objective:To investigate the differences of brain white matter fibersbetween mobile phone dependent patients and control subjects by a diffusion tensorimagine(DTI)method,and explore the characteristics of changed brain white mattermicrostructure in mobile phone dependent patients.Materials and Methods:25mobile phone dependent patients and23control subjects were recruited,they are fromGuangzhou University of Chinese Medicine Shenzhen innovation class.The Siemens3.0T trio MRI was used for DTI data acquisition,voxel-based analysis,(VBA)wasused for fractional anisotropy(FA)comparison between addiction group and controlgroup,using two sample t test to analyze the differences between the two groups,andperformed Alphasim correction in order to take the number of voxels larger than26,the difference was statistically significant/<0.005pixels after adjusted.Using twosample t test in SPSS13.0software to process demographic data.Results:Comparedwith the control group,significant reduced FA values were found in several whitematter regions including superior frontal gyrus,orbital frontal cortex,insula,ventraltegmental area,hippocampus,thalamus,cerebellum in addiction group(P<0.005),There were no regions showed significant increase(P<0.005).Conclusion:Alteredwhite matter microstructures were found in mobile phone addiction group,mainlylocating in the area associated with reward circuits,control and ability to execute related brain areas.