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老龄化人群的功能连接模式:鹿特丹研究。

Patterns of functional connectivity in an aging population: The Rotterdam Study.

机构信息

Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Centre Rotterdam, the Netherlands.

Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, the Netherlands; Department of Medical Informatics, Erasmus MC University Medical Centre Rotterdam, the Netherlands.

出版信息

Neuroimage. 2019 Apr 1;189:432-444. doi: 10.1016/j.neuroimage.2019.01.041. Epub 2019 Jan 16.

Abstract

Structural brain markers are studied extensively in the field of neurodegeneration, but are thought to occur rather late in the process. Functional measures such as functional connectivity are gaining interest as potentially more subtle markers of neurodegeneration. However, brain structure and function are also affected by 'normal' brain ageing. More information is needed on how functional connectivity relates to aging, particularly in the absence of overt neurodegenerative disease. We investigated the association of age with resting-state functional connectivity in 2878 non-demented persons between 50 and 95 years of age (54.1% women) from the population-based Rotterdam Study. We obtained nine well-known resting state networks using data-driven methodology. Within the anterior default mode network, ventral attention network, and sensorimotor network, functional connectivity was significantly lower with older age. In contrast, functional connectivity was higher with older age within the visual network. Between resting state networks, we found patterns of both increases and decreases in connectivity in approximate equal proportions. Our results reinforce the notion that the aging brain undergoes a reorganization process, and serves as a solid basis for exploring functional connectivity as a preclinical marker of neurodegenerative disease.

摘要

结构脑标志物在神经退行性疾病领域得到了广泛研究,但被认为是在疾病过程中发生得较晚。功能性测量,如功能连接,作为神经退行性变的潜在更微妙标志物正受到关注。然而,大脑结构和功能也受到“正常”大脑老化的影响。需要更多关于功能连接与衰老的关系的信息,特别是在没有明显神经退行性疾病的情况下。我们研究了 2878 名年龄在 50 至 95 岁之间(女性占 54.1%)的非痴呆人群的静息状态功能连接与年龄的关系,这些人来自基于人群的鹿特丹研究。我们使用数据驱动的方法获得了九个已知的静息状态网络。在前默认模式网络、腹侧注意网络和感觉运动网络中,功能连接随年龄的增加而显著降低。相比之下,在视觉网络中,功能连接随年龄的增加而增加。在静息状态网络之间,我们发现连接的增加和减少模式大致相等。我们的研究结果进一步证实了衰老大脑经历重组过程的观点,并为探索功能连接作为神经退行性疾病的临床前标志物提供了坚实的基础。

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