摘要
目的:利用优化基于体素的MRI形态分析(voxel-based morphometry,VBM),研究遗忘型轻度认知损害(amnestic mild cognitive impairment,a MCI)和正常老年人的脑灰质体积变化。方法:选取a MCl患者20例和正常老年对照18例,MRI排除脑内其他病变,然后行高分辨率三维T1WI扫描。应用优化VBM方法处理数据,将脑组织分割成灰质、白质和脑脊液,最后应用两样本t检验比较两组被试灰质体积改变。结果:VBM结果显示与正常老年对照组比较,a MCI患者组双侧额颞叶出现广泛的灰质体积减少,具体脑区为右侧海马钩回、双侧额下回、双侧额中回、右侧额上回、双颞叶额中回、左侧颞下回、左侧颞上回、右侧顶上小叶、左侧枕中回等结构灰质体积小于对照组,差异有统计学意义(P<0.001)。结论:VBM方法可显示a MCl患者全脑灰质萎缩情况,对临床早期诊断a MCl患者有重要价值,具有广阔的临床应用前景。
Objective:To compare the patterns of grey matter loss between subjects with amnestic mild cognitive impairment(aMCI) and normal health eldly.Methods:We studied 20 patients with aMCI and 18 age-and sex-matched healthy control subjects using voxel-based morphometry(VBM) on T1-weighted 3D data sets.The data were collected on a 3 T MR system and analyzed by SPM2 to generate grey matter volume maps.Results:VBM revealed diffusively reduced grey matter in aMCI prominently including the right uncus,the bilateral inferior,superior and midial frontal gyrus,the bilateral medial temporal gyrus,the left inferior temporal gyrus,the left superior temporal gyrus,the right superior parietal gyrus,and the left middle occipital gyrus(P〈0.001).Conclusion:VBM is a simple and automatic approach providing a full brain assessment of aMCI grey morphology.It is important for diagnosing aMCI.
出处
《医学影像学杂志》
2011年第4期481-484,共4页
Journal of Medical Imaging
基金
国家自然科学基金重点项目(编号:30930029)
国家自然科学基金面上项目(编号:30770620)
北京留学择优重点资助