认知控制网络中的功能连接可减轻老年人白质病变的影响。
Functional connectivity in cognitive control networks mitigates the impact of white matter lesions in the elderly.
机构信息
NeuroCure Clinical Research Center, Department of Neurology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.
Department of Psychology, University Medicine Greifswald, Greifswald, Germany.
出版信息
Alzheimers Res Ther. 2018 Oct 27;10(1):109. doi: 10.1186/s13195-018-0434-3.
BACKGROUND
Cerebrovascular pathology, quantified by white matter lesions (WML), is known to affect cognition in aging, and is associated with an increased risk of dementia. The present study aimed to investigate whether higher functional connectivity in cognitive control networks mitigates the detrimental effect of WML on cognition.
METHODS
Nondemented older participants (≥ 50 years; n = 230) underwent cognitive evaluation, fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI), and resting state functional magnetic resonance imaging (fMRI). Total WML volumes were quantified algorithmically. Functional connectivity was assessed in preselected higher-order resting state networks, namely the fronto-parietal, the salience, and the default mode network, using global and local measures. Latent moderated structural equations modeling examined direct and interactive relationships between WML volumes, functional connectivity, and cognition.
RESULTS
Larger WML volumes were associated with worse cognition, having a greater impact on executive functions (β = -0.37, p < 0.01) than on memory (β = -0.22, p < 0.01). Higher global functional connectivity in the fronto-parietal network and higher local connectivity between the salience network and medial frontal cortex significantly mitigated the impact of WML on executive functions, (unstandardized coefficients: b = 2.39, p = 0.01; b = 3.92, p = 0.01) but not on memory (b = -5.01, p = 0.51, b = 2.01, p = 0.07, respectively). No such effects were detected for the default mode network.
CONCLUSION
Higher functional connectivity in fronto-parietal and salience networks may protect against detrimental effects of WML on executive functions, the cognitive domain that was predominantly affected by cerebrovascular pathology. These results highlight the crucial role of cognitive control networks as a neural substrate of cognitive reserve in older individuals.
背景
已知脑血管病理学（通过白质病变 [WML] 量化）会影响衰老过程中的认知能力，并与痴呆风险增加有关。本研究旨在探讨认知控制网络中的更高功能连接是否可以减轻 WML 对认知的不利影响。
方法
非痴呆的老年参与者（≥ 50 岁；n = 230）接受认知评估、液体衰减反转恢复（FLAIR）磁共振成像（MRI）和静息状态功能磁共振成像（fMRI）。使用算法量化总 WML 体积。使用全局和局部测量方法，在预先选择的高阶静息状态网络中评估功能连接，即额顶叶、突显和默认模式网络。潜在调节结构方程模型检查了 WML 体积、功能连接和认知之间的直接和交互关系。
结果
更大的 WML 体积与认知能力下降相关，对执行功能的影响大于对记忆的影响（β = -0.37，p < 0.01）。额顶叶网络中更高的全局功能连接和突显网络与内侧前额叶皮质之间更高的局部连接显著减轻了 WML 对执行功能的影响（未标准化系数：b = 2.39，p = 0.01；b = 3.92，p = 0.01），但对记忆没有影响（b = -5.01，p = 0.51，b = 2.01，p = 0.07）。默认模式网络未检测到此类影响。
结论
额顶叶和突显网络中的更高功能连接可能会防止 WML 对执行功能产生不利影响，而执行功能是受脑血管病理学影响最大的认知领域。这些结果强调了认知控制网络作为老年个体认知储备神经基础的关键作用。
Zotero 插件