Deary Ian J, Ritchie Stuart J, Muñoz Maniega Susana, Cox Simon R, Valdés Hernández Maria C, Luciano Michelle, Starr John M, Wardlaw Joanna M, Bastin Mark E
Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom.
Front Psychiatry. 2019 Jul 26;10:524. doi: 10.3389/fpsyt.2019.00524. eCollection 2019.
It is suggested that the brain's peak width of skeletonized water mean diffusivity (PSMD) is a neuro-biomarker of processing speed, an important aspect of cognitive aging. We tested whether PSMD is more strongly correlated with processing speed than with other cognitive domains, and more strongly than other structural brain MRI indices. Participants were 731 Lothian Birth Cohort 1936 members, mean age = 73 years (SD = 0.7); analytical sample was 656-680. Cognitive domains tested were as follows: processing speed (5 tests), visuospatial (3), memory (3), and verbal (3). Brain-imaging variables included PSMD, white matter diffusion parameters, hyperintensity volumes, gray and white matter volumes, and perivascular spaces. PSMD was significantly associated with processing speed (-0.27), visuospatial ability (-0.23), memory ability (-0.17), and general cognitive ability (-0.25); comparable correlations were found with other brain-imaging measures. In a multivariable model with the other imaging variables, PSMD provided independent prediction of visuospatial ability and general cognitive ability. This incremental prediction, coupled with its ease to compute and possibly better tractability, might make PSMD a useful brain biomarker in studies of cognitive aging.
有人认为,大脑骨架化水平均扩散率(PSMD)的峰值宽度是处理速度的一种神经生物标志物,而处理速度是认知衰老的一个重要方面。我们测试了PSMD与处理速度的相关性是否比与其他认知领域的相关性更强,以及是否比其他结构性脑MRI指标的相关性更强。参与者为731名1936年洛锡安出生队列成员,平均年龄 = 73岁(标准差 = 0.7);分析样本为656 - 680人。所测试的认知领域如下:处理速度(5项测试)、视觉空间(3项)、记忆(3项)和语言(3项)。脑成像变量包括PSMD、白质扩散参数、高强度体积、灰质和白质体积以及血管周围间隙。PSMD与处理速度(-0.27)、视觉空间能力(-0.23)、记忆能力(-0.17)和一般认知能力(-0.25)显著相关;与其他脑成像测量结果发现了类似的相关性。在包含其他成像变量的多变量模型中,PSMD对视觉空间能力和一般认知能力提供了独立预测。这种增量预测,加上其易于计算以及可能更好的可处理性,可能使PSMD成为认知衰老研究中一种有用的脑生物标志物。