Bettcher Brianne M, Mungas Dan, Patel Nihar, Elofson Jonathan, Dutt Shubir, Wynn Matthew, Watson Christa L, Stephens Melanie, Walsh Christine M, Kramer Joel H
University of California, San Francisco, Department of Neurology, Memory and Aging Center, San Francisco, CA, United States; University of Colorado, Denver Anschutz School of Medicine, Departments of Neurosurgery and Neurology, Rocky Mountain Alzheimer's Disease Center, Aurora, CO, United States.
University of California, Department of Neurology, Davis, CA, United States.
Neuropsychologia. 2016 May;85:100-9. doi: 10.1016/j.neuropsychologia.2016.03.001. Epub 2016 Mar 3.
Executive functions are often considered lynchpin "frontal lobe tasks", despite accumulating evidence that a broad network of anterior and posterior brain structures supports them. Using a latent variable modelling approach, we assessed whether prefrontal grey matter volumes independently predict executive function performance when statistically differentiated from global atrophy and individual non-frontal lobar volume contributions. We further examined whether fronto-parietal white matter microstructure underlies and independently contributes to executive functions. We developed a latent variable model to decompose lobar grey matter volumes into a global grey matter factor and specific lobar volumes (i.e. prefrontal, parietal, temporal, occipital) that were independent of global grey matter. We then added mean fractional anisotropy (FA) for the superior longitudinal fasciculus (dorsal portion), corpus callosum, and cingulum bundle (dorsal portion) to models that included grey matter volumes related to cognitive variables in previous analyses. Results suggested that the 2-factor model (shifting/inhibition, updating/working memory) plus an information processing speed factor best explained our executive function data in a sample of 202 community dwelling older adults, and was selected as the base measurement model for further analyses. Global grey matter was related to the executive function and speed variables in all four lobar models, but independent contributions of the frontal lobes were not significant. In contrast, when assessing the effect of white matter microstructure, cingulum FA made significant independent contributions to all three executive function and speed variables and corpus callosum FA was independently related to shifting/inhibition and speed. Findings from the current study indicate that while prefrontal grey matter volumes are significantly associated with cognitive neuroscience measures of shifting/inhibition and working memory in healthy older adults, they do not independently predict executive function when statistically isolated from global atrophy and individual non-frontal lobar volume contributions. In contrast, better microstructure of fronto-parietal white matter, namely the corpus callosum and cingulum, continued to predict executive functions after accounting for global grey matter atrophy. These findings contribute to a growing literature suggesting that prefrontal contributions to executive functions cannot be viewed in isolation from more distributed grey and white matter effects in a healthy older adult cohort.
尽管越来越多的证据表明,广泛的前后脑结构网络支持执行功能,但执行功能通常仍被视为关键的“额叶任务”。我们采用潜在变量建模方法,评估在与整体萎缩和各个非额叶脑区体积贡献进行统计区分时,前额叶灰质体积是否能独立预测执行功能表现。我们进一步研究了额顶叶白质微观结构是否是执行功能的基础并对其有独立贡献。我们开发了一个潜在变量模型,将脑叶灰质体积分解为一个整体灰质因子和独立于整体灰质的特定脑叶体积(即前额叶、顶叶、颞叶、枕叶)。然后,我们将上纵束(背侧部分)、胼胝体和扣带束(背侧部分)的平均各向异性分数(FA)添加到之前分析中包含与认知变量相关的灰质体积的模型中。结果表明,在202名社区居住的老年人样本中,二因素模型(转换/抑制、更新/工作记忆)加上一个信息处理速度因子能最好地解释我们的执行功能数据,并被选为进一步分析的基础测量模型。在所有四个脑叶模型中,整体灰质与执行功能和速度变量相关,但额叶的独立贡献并不显著。相比之下,在评估白质微观结构的影响时,扣带束FA对所有三个执行功能和速度变量都有显著的独立贡献,胼胝体FA与转换/抑制和速度独立相关。当前研究结果表明,虽然前额叶灰质体积与健康老年人转换/抑制和工作记忆的认知神经科学测量显著相关,但在与整体萎缩和各个非额叶脑区体积贡献进行统计分离时,它们并不能独立预测执行功能。相比之下,在考虑整体灰质萎缩后,额顶叶白质(即胼胝体和扣带束)更好的微观结构仍能预测执行功能。这些发现为越来越多的文献做出了贡献,表明在健康老年人群体中,不能孤立地看待前额叶对执行功能的贡献,而应考虑更广泛的灰质和白质效应。