Department of Physical Therapy and Athletic Training, Saint Louis University, 3437 Caroline Mall Suite 1026, Saint Louis, MO, 63104, USA.
Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.
Exp Brain Res. 2023 Jun;241(6):1489-1499. doi: 10.1007/s00221-023-06618-5. Epub 2023 Apr 21.
Alzheimer's disease (AD) is characterized by a distinct pattern of cortical thinning and resultant changes in cognition and function. These result in prominent deficits in cognitive-motor automaticity. The relationship between AD-related cortical thinning and decreased automaticity is not well-understood. We aimed to investigate the relationship between cortical thickness regions-of-interest (ROI) and automaticity and attention allocation in AD using hypothesis-driven and exploratory approaches. We performed an ROI analysis of 46 patients with AD. Data regarding MR images, demographic characteristics, cognitive-motor dual task performance, and cognition were extracted from medical records. Cortical thickness was calculated from MR T1 images using FreeSurfer. Data from the dual task assessment was used to calculate the combined dual task effect (cDTE), a measure of cognitive-motor automaticity, and the modified attention allocation index (mAAI). Four hierarchical multiple linear regression models were conducted regressing cDTE and mAAI separately on (1) hypothesis-generated ROIs and (2) exploratory ROIs. For cDTE, cortical thicknesses explained 20.5% (p = 0.014) and 25.9% (p = 0.002) variability in automaticity in the hypothesized ROI and exploratory models, respectively. The dorsal lateral prefrontal cortex (DLPFC) (β = - 0.479, p = 0.018) and superior parietal cortex (SPC) (β = 0.467, p = 0.003), and were predictors of automaticity. For mAAI, cortical thicknesses explained 20.7% (p = 0.025) and 28.3% (p = 0.003) variability in attention allocation in the hypothesized ROI and exploratory models, respectively. Thinning of SPC and fusiform gyrus were associated with motor prioritization (β = - 0.405, p = 0.013 and β = - 0.632, p = 0.004, respectively), whereas thinning of the DLPFC was associated with cognitive prioritization (β = 0.523, p = 0.022). Cortical thinning in AD was related to cognitive-motor automaticity and task prioritization, particularly in the DLPFC and SPC. This suggests that these regions may play a primary role in automaticity and attentional strategy during dual-tasking.
阿尔茨海默病(AD)的特征是皮质明显变薄,认知和功能发生变化。这些导致认知运动自动性的明显缺陷。AD 相关皮质变薄与自动性降低之间的关系尚不清楚。我们旨在使用假设驱动和探索性方法研究 AD 患者皮质厚度与自动性和注意力分配之间的关系。我们对 46 名 AD 患者进行了 ROI 分析。从病历中提取了有关磁共振成像、人口统计学特征、认知运动双重任务表现和认知的数据。使用 FreeSurfer 从 MR T1 图像计算皮质厚度。使用双重任务评估数据计算联合双重任务效应(cDTE),这是一种认知运动自动性的衡量标准,以及修改后的注意力分配指数(mAAI)。进行了四个层次的多元线性回归模型,分别将 cDTE 和 mAAI 回归到(1)假设产生的 ROI 和(2)探索性 ROI。对于 cDTE,皮质厚度分别解释了假设 ROI 和探索性模型中自动性的 20.5%(p=0.014)和 25.9%(p=0.002)的可变性。背外侧前额叶皮层(DLPFC)(β= -0.479,p=0.018)和顶下皮层(SPC)(β=0.467,p=0.003)是自动性的预测指标。对于 mAAI,皮质厚度分别解释了假设 ROI 和探索性模型中注意力分配的 20.7%(p=0.025)和 28.3%(p=0.003)的可变性。SPC 和梭状回的变薄与运动优先化相关(β= -0.405,p=0.013 和 β= -0.632,p=0.004),而 DLPFC 的变薄与认知优先化相关(β=0.523,p=0.022)。AD 中的皮质变薄与认知运动自动性和任务优先化有关,特别是在 DLPFC 和 SPC 中。这表明这些区域可能在双重任务期间的自动性和注意力策略中发挥主要作用。