The effects of physical activity, education, and body mass index on the aging brain.
The effects of physical activity, education, and body mass index on the aging brain.
复制标题
DOI：
10.1002/hbm.21113
复制
发表时间：
2011-09
影响因子：
4.8
通讯作者：
Thompson, Paul M.
中科院分区：
文献类型：
--
作者：
Ho, April J.;Raji, Cyrus A.;Becker, James T.;Lopez, Oscar L.;Kuller, Lewis H.;Hua, Xue;Dinov, Ivo D.;Stein, Jason L.;Rosano, Caterina;Toga, Arthur W.;Thompson, Paul M.
正常的人类衰老伴随着进行性脑组织损失和认知能力下降;然而，有几个因素被认为会影响大脑衰老。我们将基于张量的形态测量应用于高分辨率脑MRI扫描，以确定教育水平或体力活动是否与老年人的脑组织体积相关，特别是在易受年龄相关性萎缩影响的区域。我们绘制了来自心血管健康研究-认知研究的226名健康老年受试者（130 F/96 M; 77.9 ± 3.6 SD岁）的脑体积差异的3D轮廓。统计图显示了大脑区域的3D轮廓，其体积与教育水平和身体活动（基于休闲时间的能量消耗）有关。在控制了年龄、性别和体力活动后，较高的教育水平与颞叶灰质平均约2-3%的组织体积相关。在控制了年龄、性别和教育程度后，更多的体力活动与放射冠白色物质延伸到顶枕交界处的平均组织体积增加约2-2.5%相关。身体质量指数（BMI）与教育和身体活动高度相关，因此我们通过在同一模型中包括身体活动，教育和BMI来检查BMI作为一个影响因素;只有BMI的影响仍然显着。这是影响结构性大脑衰老因素的最大MRI研究之一，BMI可能是解释教育，体育活动和大脑结构之间观察到的关系的关键因素。对大脑结构的独立贡献不能被分开，因为所有这些因素彼此高度相关。
Normal human aging is accompanied by progressive brain tissue loss and cognitive decline; however, several factors are thought to influence brain aging. We applied tensor-based morphometry to high-resolution brain MRI scans to determine whether educational level or physical activity was associated with brain tissue volumes in the elderly, particularly in regions susceptible to age-related atrophy. We mapped the 3D profile of brain volume differences in 226 healthy elderly subjects (130F/96M; 77.9 ± 3.6 SD years) from the Cardiovascular Health Study-Cognition Study. Statistical maps revealed the 3D profile of brain regions whose volumes were associated with educational level and physical activity (based on leisure-time energy expenditure). After controlling for age, sex, and physical activity, higher educational levels were associated with ~2–3% greater tissue volumes, on average, in the temporal lobe gray matter. After controlling for age, sex, and education, greater physical activity was associated with ~2–2.5% greater average tissue volumes in the white matter of the corona radiata extending into the parietal-occipital junction. Body mass index (BMI) was highly correlated with both education and physical activity, so we examined BMI as a contributing factor by including physical activity, education, and BMI in the same model; only BMI effects remained significant. This is one of the largest MRI studies of factors influencing structural brain aging, and BMI may be a key factor explaining the observed relationship between education, physical activity, and brain structure. Independent contributions to brain structure could not be teased apart as all these factors were highly correlated with one another.
登录
查看更多内容
影响因子：
3.5
作者：
Erickson, Kirk I.;Prakash, Ruchika S.;Voss, Michelle W.;Chaddock, Laura;Hu, Liang;Morris, Katherine S.;White, Siobhan M.;Wojcicki, Thomas R.;McAuley, Edward;Kramer, Arthur F.
通讯作者：
Kramer, Arthur F.
影响因子：
9.9
作者：
Burns JM;Cronk BB;Anderson HS;Donnelly JE;Thomas GP;Harsha A;Brooks WM;Swerdlow RH
通讯作者：
Swerdlow RH
影响因子：
7.6
作者：
BARON, RM;KENNY, DA
通讯作者：
KENNY, DA
影响因子：
--
作者：
Lopez, OL;Jagust, WJ;Kuller, LH
通讯作者：
Kuller, LH
影响因子：
3.5
作者：
Christensen, Helen;Anstey, Kaarin J.;Sachdev, Perminder
通讯作者：
Sachdev, Perminder