Structural imaging measures of brain aging.

Structural imaging measures of brain aging.
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DOI:
10.1007/s11065-014-9268-3
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发表时间:
2014-09
影响因子:
5.8
通讯作者:
DeCarli, Charles
DeCarli, Charles
中科院分区:
心理学2区
文献类型:
--
作者:
Lockhart, Samuel N.;DeCarli, Charles

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在正常衰老过程中,大脑中发生的生物学变化与认知能力的变化有关。本文综述了主要是“正常”或健康的大脑老化的神经影像学研究的数据。因此,我们专注于未受损或非痴呆老年人的研究,但也包括寿命研究的结果,包括年轻人和中年人以及患有前驱或临床症状性疾病(如脑血管病或阿尔茨海默病)的人群。本综述主要讨论结构性MRI生物标志物,如解剖图像的体积或厚度测量,以及FLAIR或DTI的白色物质损伤和完整性测量,并酌情包括PET和认知或临床测试的补充数据。这些发现揭示了大脑结构中高度一致的年龄相关差异,特别是额叶和内侧颞叶区域,这些区域也伴随着额叶和内侧颞叶介导的认知能力的年龄相关差异。新的研究结果也表明,特定的白色物质束的退化,如通过胼胝体的胼胝体和压部的退化,也可能与认知能力的年龄相关差异有关。然而,对这些发现的解释必须受到这样一个事实的限制,即脑血管病和阿尔茨海默病等共病的患病率也随着年龄的增长而增加。因此,本综述讨论了与这些晚年疾病的常见发生的认知老化的当前理论的解释有关的挑战。了解“正常”和“健康”脑老化之间的差异,并确定脑老化的潜在可改变的风险因素,对于告知潜在的治疗方法以阻止或逆转脑老化的影响并可能延长我们老龄化社会的认知健康至关重要。
During the course of normal aging, biological changes occur in the brain that are associated with changes in cognitive ability. This review presents data from neuroimaging studies of primarily “normal” or healthy brain aging. As such, we focus on research in unimpaired or nondemented older adults, but also include findings from lifespan studies that include younger and middle aged individuals as well as from populations with prodromal or clinically symptomatic disease such as cerebrovascular or Alzheimer’s disease. This review predominantly addresses structural MRI biomarkers, such as volumetric or thickness measures from anatomical images, and measures of white matter injury and integrity respectively from FLAIR or DTI, and includes complementary data from PET and cognitive or clinical testing as appropriate. The findings reveal highly consistent age-related differences in brain structure, particularly frontal lobe and medial temporal regions that are also accompanied by age-related differences in frontal and medial temporal lobe mediated cognitive abilities. Newer findings also suggest that degeneration of specific white matter tracts such as those passing through the genu and splenium of the corpus callosum may also be related to age-related differences in cognitive performance. Interpretation of these findings, however, must be tempered by the fact that comorbid diseases such as cerebrovascular and Alzheimer’s disease also increase in prevalence with advancing age. As such, this review discusses challenges related to interpretation of current theories of cognitive aging in light of the common occurrence of these later-life diseases. Understanding the differences between “Normal” and “Healthy” brain aging and identifying potential modifiable risk factors for brain aging is critical to inform potential treatments to stall or reverse the effects of brain aging and possibly extend cognitive health for our aging society.
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