Luo L K, Ren C P, Wang C H, Cheng J L, Gao X, Chen C
Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Zhonghua Yi Xue Za Zhi. 2019 Jan 29;99(5):370-374. doi: 10.3760/cma.j.issn.0376-2491.2019.05.010.
To explore the relationship between simple numerical function and gray matter volume (GMV) in normal brain aging using the voxel-based morphometry(VBM) approach. A total of 123 individuals from 18 to 70 years old (63 males,60 females,the average age was (43±14) years, were recruited from right-handed healthy Han Chinese volunteers at the Department of MRI at the First Affiliated Hospital of Zhengzhou University between October 2016 and June 2017. All subjects underwent magnetic resonance sagital three-dimensional imaging scanning, and statistical parameter graph (SPM) 8 software was used for voxel-based morphological analysis to compare the differences in gray matter volume between different age groups.Gray matter volume difference brain regions between different age groups were extracted as regions of interest, and correlation analysis was carried out on the score of simple numerical calculation to find the responsible atrophy brain regions related to the decline of simple digital computing ability. The brain regions with different gray matter volume in different age groups mainly included bilateral frontal gyrus, bilateral anterior cingulate gyrus, bilateral middle cingulate gyrus, bilateral olfactory cortex, bilateral caudate nucleus and bilateral insula. Among them the GMV of bilateral superior frontal gyrus and anterior cingulate gyrus showed the strongest correlation with the simple numerical function. Before removing the effect of age, the correlation between the GMV of the bilateral superior frontal gyrus and medial cingulate gyrus and the corrected count of correct was significant (0.403,0.000), the correlation between GMV and the percent of correct was also significant (0.229,0.037).After removing age as a covariate, bilateral superior frontal gyrus and central cingulate gyrus were still positively correlated with the correct number after correction of simple numerical calculation function (0.225,0.014) and the correct percentage (0.245, 0.007). There is extensive gray matter volume atrophy during the normal brain aging process. The decrease of simple numerical function in normal brain aging may be related to the decrease of frontal and anterior cingulate gray matter volume.
采用基于体素的形态学测量(VBM)方法,探讨正常脑老化过程中简单数字功能与灰质体积(GMV)之间的关系。2016年10月至2017年6月期间,从郑州大学第一附属医院MRI科招募了123名年龄在18至70岁之间的个体(男性63名,女性60名,平均年龄为(43±14)岁),均为右利手健康汉族志愿者。所有受试者均接受磁共振矢状位三维成像扫描,并使用统计参数图(SPM)8软件进行基于体素的形态学分析,以比较不同年龄组之间灰质体积的差异。提取不同年龄组之间灰质体积有差异的脑区作为感兴趣区,并对简单数字计算得分进行相关性分析,以找出与简单数字计算能力下降相关的脑萎缩责任区域。不同年龄组灰质体积不同的脑区主要包括双侧额回、双侧前扣带回、双侧中扣带回、双侧嗅觉皮质、双侧尾状核和双侧脑岛。其中,双侧额上回和前扣带回的GMV与简单数字功能的相关性最强。在去除年龄影响之前,双侧额上回和内侧扣带回的GMV与正确计数校正值之间的相关性显著(0.403,P=0.000),GMV与正确百分比之间的相关性也显著(0.229,P=0.037)。在将年龄作为协变量去除后,双侧额上回和中央扣带回与简单数字计算功能校正后的正确数(0.225,P=0.014)和正确百分比(0.245,P=0.007)仍呈正相关。正常脑老化过程中存在广泛的灰质体积萎缩。正常脑老化过程中简单数字功能的下降可能与额叶和前扣带回灰质体积的减少有关。