Age and gender predict volume decline in the anterior and posterior hippocampus in early adulthood

Age and gender predict volume decline in the anterior and posterior hippocampus in early adulthood
复制标题

DOI:
10.1523/jneurosci.21-01-00194.2001
复制
发表时间:
2001-01-01
影响因子:
5.3
通讯作者:
Evans, AC
Evans, AC
中科院分区:
医学1区
文献类型:
--
作者:
Pruessner, JC;Collins, DL;Evans, AC

文献摘要

被引文献

相似文献

磁共振成像(MRI)提供了一种非侵入性的方法来研究脑形态。在内侧颞叶内,由于海马体(HC)和杏仁核(AG)在记忆、抑郁、情绪和学习中的作用,它们受到了特别的关注。已经观察到这些区域的体积变化与某些疾病状态相结合,例如阿尔茨海默病、创伤后应激障碍和抑郁症。衰老也被证明会导致整个大脑的灰质体积损失,包括HC。关于性别特异性,结果表明男性的大脑灰质萎缩幅度更大,但对HC的观察结果存在争议。通过最近改进的MRI采集和分割协议,对80名成年早期受试者(39名男性和41名女性,年龄18-42岁)的HC和AG进行了调查。然而AG的体积似乎与年龄和性别无关,在男性中发现左侧和右侧HC与年龄呈显著负相关(分别为r = -0.47和-0.44),而在女性中则不相关(分别为r = 0.01和0.02)。男性的数量下降似乎是线性的,从第三个十年开始,每年约1.5%。使用基于体素的回归分析,结果表明,随着年龄的变化主要发生在头部和尾部的HC。这一发现强调了在功能和解剖MRI设计中纳入社会人口学变量的必要性。
Magnetic Resonance Imaging (MRI) provides a noninvasive method for investigating brain morphology. Within the medial temporal lobe, special attention has been paid to the hippocampus (HC) and amygdala (AG) because of their role in memory, depression, emotion, and learning. Volume changes in these areas have been observed in conjunction with certain disease states, e.g. Alzheimer's disease, post-traumatic stress disorder, and depression. Aging has also been shown to result in gray matter volume loss of the overall brain, including the HC. With regard to gender specificity, results suggest a larger shrinkage for men of brain gray matter, with controversial observations being made for the HC.With recently refined MRI acquisition and segmentation protocols, the HC and AG of 80 subjects in early adulthood (39 men and 41 women, age 18-42 years) were investigated. Whereas the volume of the AG appeared to be independent of age and gender, a significant negative correlation with age for both left and right HC was found in men (r = -0.47 and -0.44, respectively) but not in women (r = 0.01 and 0.02, respectively). The volume decline in men appeared to be linear, starting at the beginning of the third life decade and approximating 1.5% per annum. Using voxel-based regressional analysis, it was shown that changes with age occurred mostly in the head and tail of the HC. This finding underscores the need to include sociodemographic variables in functional and anatomical MRI designs.