Salthouse Timothy A, Habeck Christian, Razlighi Qolamreza, Barulli Daniel, Gazes Yunglin, Stern Yaakov
Department of Psychology, University of Virginia, Charlottesville, VA, USA.
Cognitive Neuroscience Division, Department of Neurology, Taub Institute for Research on Alzheimer's Disease and The Aging Brain, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Neurobiol Aging. 2015 Nov;36(11):3020-3028. doi: 10.1016/j.neurobiolaging.2015.08.011. Epub 2015 Aug 18.
Recent advances in neuroimaging have identified a large number of neural measures that could be involved in age-related declines in cognitive functioning. A popular method of investigating neural-cognition relations has been to determine the brain regions in which a particular neural measure is associated with the level of specific cognitive measures. Although this procedure has been informative, it ignores the strong interrelations that typically exist among the measures in each modality. An alternative approach involves investigating the number and identity of distinct dimensions within the set of neural measures and within the set of cognitive measures before examining relations between the 2 types of measures. The procedure is illustrated with data from 297 adults between 20 and 79 years of age with cortical thickness in different brain regions as the neural measures and performance on 12 cognitive tests as the cognitive measures. The results revealed that most of the relations between cortical thickness and cognition occurred at a general level corresponding to variance shared among different brain regions and among different cognitive measures. In addition, the strength of the thickness-cognition relation was substantially reduced after controlling the variation in age, which suggests that at least some of the thickness-cognition relations in age-heterogeneous samples may be attributable to the influence of age on each type of measure.
神经影像学的最新进展已经确定了大量可能与认知功能随年龄下降有关的神经测量指标。一种研究神经与认知关系的常用方法是确定特定神经测量指标与特定认知测量水平相关的脑区。尽管这个过程提供了信息,但它忽略了每种模态测量指标之间通常存在的强相关性。另一种方法是在检查这两种测量指标之间的关系之前,先研究神经测量指标集和认知测量指标集内不同维度的数量和特征。该过程通过来自297名年龄在20至79岁之间的成年人的数据进行说明,将不同脑区的皮质厚度作为神经测量指标,将12项认知测试的表现作为认知测量指标。结果显示,皮质厚度与认知之间的大多数关系发生在一个总体水平上,对应于不同脑区和不同认知测量指标之间共享的方差。此外,在控制年龄差异后,厚度与认知关系的强度大幅降低,这表明在年龄异质样本中,至少部分厚度与认知的关系可能归因于年龄对每种测量指标的影响。