Institute of Physiology and Anatomy, German Sport University, Köln, Germany.
Institute of Human Movement Science and Health, Technical University Chemnitz, Chemnitz, Germany.
PLoS One. 2019 May 9;14(5):e0216149. doi: 10.1371/journal.pone.0216149. eCollection 2019.
Using factor analysis, several studies reported that higher-order cognitive control involves separable executive functions. However, the number and definition of the purported functions differed between studies. One possible explanation for this discrepancy is that executive functions don't exhibit a clear factorial structure, i.e., there is no clear dichotomy between executive function tests which are well-correlated (representing a common factor) and those which are poorly correlated (representing distinct factors). We scrutinize this explanation separately in data from young and from older persons.
METHODS & RESULTS: Young and older volunteers completed cognitive tests of the purported executive functions shifting, updating, inhibition and dual-tasking (two tests per function). Confirmatory and exploratory factor analyses yielded, for either age group, factorial structures that were within the range reported in literature. More importantly, when correlations between tests were sorted in ascending order, and were then fitted them by piecewise linear regression with a breakpoint, there was no evidence for a distinct breakpoint between low and high correlations in either age group. Correlations between tests were significantly higher in older compared to young participants, and the pattern of test pairs with high and with low correlations differed between age groups.
The absence of a breakpoint indicates that executive function tests don't segregate into well-correlated and poorly correlated pairs, and therefore are not well suited for factor analyses. We suggest that executive functions are better described as a partly overlapping rather than a factorial structure. The increase of correlations in older participants supports the existence of age-related dedifferentiation, and the dissimilarity of correlations in the two age groups supports the existence of age-related reorganization.
利用因子分析,有几项研究报告称,高阶认知控制涉及可分离的执行功能。然而,在研究之间,所谓的功能的数量和定义是不同的。这种差异的一个可能解释是,执行功能没有表现出明确的因子结构,即执行功能测试之间没有明显的二分法,这些测试相关性很好(代表共同因素),而那些相关性较差(代表不同因素)。我们分别在年轻人和老年人的数据中仔细研究了这种解释。
年轻和老年志愿者完成了据称的执行功能(转换、更新、抑制和双重任务)的认知测试(每个功能两个测试)。确认性和探索性因子分析产生了,对于任何一个年龄组,因子结构都在文献中报告的范围内。更重要的是,当测试之间的相关性按升序排序,然后用分段线性回归拟合具有断点的相关性时,在任何一个年龄组中,都没有证据表明低相关性和高相关性之间存在明显的断点。老年参与者的测试相关性明显高于年轻参与者,并且高相关性和低相关性测试对的模式在两个年龄组之间有所不同。
没有断点表明执行功能测试不能分为相关性好和相关性差的两组,因此不适合因子分析。我们认为执行功能最好被描述为部分重叠而不是因子结构。老年参与者相关性的增加支持存在与年龄相关的去分化,而两个年龄组之间相关性的差异支持存在与年龄相关的重组。