Trammell Janet P, MacRae Priscilla G, Davis Greta, Bergstedt Dylan, Anderson Ariana E
Division of Social Sciences and Natural Sciences, Seaver College, Pepperdine University, Malibu, CA, United States.
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Front Aging Neurosci. 2017 Nov 7;9:364. doi: 10.3389/fnagi.2017.00364. eCollection 2017.
The Theta-Alpha ratio (TAR) is known to differ based upon age and cognitive ability, with pathological electroencephalography (EEG) patterns routinely found within neurodegenerative disorders of older adults. We hypothesized that cognitive ability would predict EEG metrics differently within healthy young and old adults, and that healthy old adults not showing age-expected EEG activity may be more likely to demonstrate cognitive deficits relative to old adults showing these expected changes. In 216 EEG blocks collected in 16 young and 20 old adults during rest (eyes open, eyes closed) and cognitive tasks (short-term memory [STM]; matrix reasoning [RM; Raven's matrices]), models assessed the contributing roles of cognitive ability, age, and task in predicting the TAR. A general linear mixed-effects regression model was used to model this relationship, including interaction effects to test whether increased cognitive ability predicted TAR differently for young and old adults at rest and during cognitive tasks. The relationship between cognitive ability and the TAR across all blocks showed age-dependency, and cognitive performance at the CZ midline location predicted the TAR measure when accounting for the effect of age ( < 0.05, chi-square test of nested models). Age significantly interacted with STM performance in predicting the TAR ( < 0.05); increases in STM were associated with increased TAR in young adults, but not in old adults. RM showed similar interaction effects with aging and TAR ( < 0.10). EEG correlates of cognitive ability are age-dependent. Adults who did not show age-related EEG changes were more likely to exhibit cognitive deficits than those who showed age-related changes. This suggests that healthy aging should produce moderate changes in Alpha and TAR measures, and the absence of such changes signals impaired cognitive functioning.
已知θ-α比率(TAR)会因年龄和认知能力而有所不同,在老年人的神经退行性疾病中经常会发现病理性脑电图(EEG)模式。我们假设,认知能力对健康的年轻人和老年人脑电图指标的预测方式不同,并且与表现出这些预期变化的老年人相比,未表现出预期年龄脑电图活动的健康老年人可能更有可能出现认知缺陷。在16名年轻人和20名老年人休息(睁眼、闭眼)及进行认知任务(短期记忆[STM];矩阵推理[RM;瑞文推理测验])期间收集的216个脑电图数据块中,模型评估了认知能力、年龄和任务在预测TAR中的作用。使用一般线性混合效应回归模型对这种关系进行建模,包括交互效应,以测试在休息和认知任务期间,认知能力的提高对年轻人和老年人TAR的预测是否不同。所有数据块中认知能力与TAR之间的关系显示出年龄依赖性,在考虑年龄影响时,CZ中线位置的认知表现可预测TAR测量值(<0.05,嵌套模型的卡方检验)。在预测TAR时,年龄与STM表现存在显著交互作用(<0.05);STM的提高与年轻人TAR的增加相关,但与老年人无关。RM与衰老和TAR也表现出类似的交互作用(<0.10)。认知能力的脑电图相关性具有年龄依赖性。未表现出与年龄相关脑电图变化的成年人比表现出这些变化的成年人更有可能出现认知缺陷。这表明,健康衰老应会使α波和TAR测量值产生适度变化,而缺乏这种变化则表明认知功能受损。