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月经周期过程中个体脑龄的变化。

Changes of individual BrainAGE during the course of the menstrual cycle.

作者信息

Franke Katja, Hagemann Georg, Schleussner Ekkehard, Gaser Christian

机构信息

Structural Brain Mapping Group, Department of Psychiatry, University Hospital Jena, Jena, Germany; Department of Neurology, University Hospital Jena, Jena, Germany.

HELIOS Klinik Berlin-Buch, Dept. of Neurology, Berlin, Germany.

出版信息

Neuroimage. 2015 Jul 15;115:1-6. doi: 10.1016/j.neuroimage.2015.04.036. Epub 2015 Apr 23.

Abstract

Brain morphology varies during the course of the menstrual cycle, with increases in individual gray matter volume at the time of ovulation. This study implemented our previously presented BrainAGE framework to analyze short-term neuroanatomical changes in healthy young women due to hormonal changes during the menstrual cycle. The BrainAGE approach determines the complex multidimensional aging pattern within the whole brain by applying established kernel regression methods to anatomical brain MRIs. The "Brain Age Gap Estimation" (i.e., BrainAGE) score is then calculated as the difference between chronological age and estimated brain age. Eight women (21-31 years) completed three to four MRI scans during their menstrual cycle (i.e., at (t1) menses, (t2) time of ovulation, (t3) midluteal phase, (t4) next menses). Serum levels of estradiol and progesterone were evaluated at each scanning session. Individual BrainAGE scores significantly differed during the course of the menstrual cycle (p<0.05), with a significant decrease of -1.3 years at ovulation (p<0.05). Moreover, higher estradiol levels significantly correlated with lower BrainAGE scores (r=-0.42, p<0.05). In future, the BrainAGE approach may serve as a sensitive as well as easily implementable tool to further explore the short-term and maybe long-term effects of hormones on brain plasticity and its modulating effects in lifestyle-related diseases and dementia.

摘要

脑形态在月经周期过程中会发生变化,在排卵时个体灰质体积会增加。本研究采用我们之前提出的BrainAGE框架,来分析健康年轻女性在月经周期中由于激素变化引起的短期神经解剖学变化。BrainAGE方法通过将既定的核回归方法应用于脑部解剖MRI,来确定全脑内复杂的多维衰老模式。然后计算“脑年龄差距估计”(即BrainAGE)分数,作为实际年龄与估计脑年龄之间的差值。八名女性(21 - 31岁)在月经周期内完成了三到四次MRI扫描(即(t1)月经期、(t2)排卵期、(t3)黄体中期、(t4)下次月经期)。在每次扫描时评估雌二醇和孕酮的血清水平。在月经周期过程中,个体的BrainAGE分数存在显著差异(p<0.05),在排卵时显著下降了1.3岁(p<0.05)。此外,较高的雌二醇水平与较低的BrainAGE分数显著相关(r = -0.42,p<0.05)。未来,BrainAGE方法可能会成为一种敏感且易于实施的工具,用于进一步探索激素对脑可塑性的短期以及可能的长期影响,及其在与生活方式相关的疾病和痴呆中的调节作用。

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