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急性脱水对健康人类脑形态的影响。

Effects of acute dehydration on brain morphology in healthy humans.

作者信息

Kempton Matthew J, Ettinger Ulrich, Schmechtig Anne, Winter Edward M, Smith Luke, McMorris Terry, Wilkinson Iain D, Williams Steven C R, Smith Marcus S

机构信息

Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, United Kingdom.

出版信息

Hum Brain Mapp. 2009 Jan;30(1):291-8. doi: 10.1002/hbm.20500.

Abstract

Dehydration can affect brain structure which has important implications for human health. In this study, we measured regional changes in brain structure following acute dehydration. Healthy volunteers received a structural MRI scan before and after an intensive 90-min thermal-exercise dehydration protocol. We used two techniques to determine changes in brain structure: a manual point counting technique using MEASURE, and a fully automated voxelwise analysis using SIENA. After the exercise regime, participants lost (2.2% +/- 0.5%) of their body mass. Using SIENA, we detected expansion of the ventricular system with the largest change occurring in the left lateral ventricle (P = 0.001 corrected for multiple comparisons) but no change in total brain volume (P = 0.13). Using manual point counting, we could not detect any change in ventricular or brain volume, but there was a significant correlation between loss in body mass and third ventricular volume increase (r = 0.79, P = 0.03). These results show ventricular expansion occurs following acute dehydration, and suggest that automated longitudinal voxelwise analysis methods such as SIENA are more sensitive to regional changes in brain volume over time compared with a manual point counting technique.

摘要

脱水会影响脑结构,这对人类健康具有重要意义。在本研究中,我们测量了急性脱水后脑结构的区域变化。健康志愿者在进行90分钟高强度热运动脱水方案前后接受了结构磁共振成像扫描。我们使用两种技术来确定脑结构的变化:一种是使用MEASURE的手动点数技术,另一种是使用SIENA的全自动体素分析。运动方案结束后,参与者体重减轻了(2.2%±0.5%)。使用SIENA,我们检测到脑室系统扩张,最大变化发生在左侧脑室(经多重比较校正后P = 0.001),但全脑体积无变化(P = 0.13)。使用手动点数,我们未检测到脑室或脑体积有任何变化,但体重减轻与第三脑室体积增加之间存在显著相关性(r = 0.79,P = 0.03)。这些结果表明急性脱水后会出现脑室扩张,并且表明与手动点数技术相比,诸如SIENA之类的自动纵向体素分析方法对脑体积随时间的区域变化更敏感。

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