Smolker Harry R, Friedman Naomi P, Hewitt John K, Banich Marie T
Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States.
Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Front Hum Neurosci. 2018 Jul 20;12:283. doi: 10.3389/fnhum.2018.00283. eCollection 2018.
Understanding the neuroanatomical correlates of individual differences in executive function (EF) is integral to a complete characterization of the neural systems supporting cognition. While studies have investigated EF-neuroanatomy relationships in adults, these studies often include samples with wide variation in age, which may mask relationships between neuroanatomy and EF specific to certain neurodevelopmental time points, and such studies often use unreliable single task measures of EF. Here we address both issues. First, we focused on a specific age at which the majority of neurodevelopmental changes are complete but at which age-related atrophy is not likely ( = 251; mean age of 28.71 years, = 0.57). Second, we assessed EF through multiple tasks, deriving three factors scores guided by the unity/diversity model of EF, which posits a common EF factor that influences all EF tasks, as well as an updating-specific and shifting-specific factor. We found that better common EF was associated with greater volume and surface area of regions in right middle frontal gyrus/frontal pole, right inferior temporal gyrus, as well as fractional anisotropy in portions of the right superior longitudinal fasciculus (rSLF) and the left anterior thalamic radiation. Better updating-specific ability was associated with greater cortical thickness of a cluster in left cuneus/precuneus, and reduced cortical thickness in regions of right superior frontal gyrus and right middle/superior temporal gyrus, but no aspects of white matter diffusion. In contrast, better shifting-specific ability was not associated with gray matter characteristics, but rather was associated with increased mean diffusivity and reduced radial diffusivity throughout much of the brain and reduced axial diffusivity in distinct clusters of the left superior longitudinal fasciculus, the corpus callosum, and the right optic radiation. These results demonstrate that associations between individual differences in EF ability and regional neuroanatomical properties occur not only within classic brain networks thought to support EF, but also in a variety of other regions and white matter tracts. These relationships appear to differ from observations made in emerging adults (Smolker et al., 2015), which might indicate that the brain systems associated with EF continue to experience behaviorally relevant maturational process beyond the early 20s.
了解执行功能(EF)个体差异的神经解剖学关联对于全面描述支持认知的神经系统至关重要。虽然已有研究调查了成年人中EF与神经解剖学的关系,但这些研究的样本年龄差异很大,这可能掩盖了神经解剖学与特定神经发育时间点的EF之间的关系,而且此类研究通常使用不可靠的单一任务来测量EF。在此我们解决这两个问题。首先,我们关注的是一个特定年龄,此时大多数神经发育变化已经完成,但不太可能出现与年龄相关的萎缩(n = 251;平均年龄28.71岁,标准差 = 0.57)。其次,我们通过多个任务评估EF,根据EF的统一/多样性模型得出三个因素得分,该模型假定存在一个影响所有EF任务的共同EF因素,以及一个特定于更新和特定于转换的因素。我们发现,更好的共同EF与右侧额中回/额极、右侧颞下回区域的更大体积和表面积相关,以及与右侧上纵束(rSLF)和左侧丘脑前辐射部分的分数各向异性相关。更好的特定于更新的能力与左侧楔叶/楔前叶一个簇的更大皮质厚度相关,以及与右侧额上回和右侧颞中/颞上回区域的皮质厚度减少相关,但与白质扩散的各个方面无关。相比之下,更好的特定于转换的能力与灰质特征无关,而是与整个大脑大部分区域的平均扩散率增加和径向扩散率降低以及左侧上纵束、胼胝体和右侧视辐射不同簇中的轴向扩散率降低相关。这些结果表明,EF能力的个体差异与区域神经解剖学特性之间的关联不仅发生在被认为支持EF的经典脑网络内,而且还发生在各种其他区域和白质束中。这些关系似乎与对新兴成年人的观察结果不同(Smolker等人,2015年),这可能表明与EF相关的脑系统在20岁出头之后继续经历与行为相关的成熟过程。