Department of Psychology, Washington University St. Louis, One Brookings Drive, Campus Box 1125, St. Louis, MO 63130, USA.
Neuropsychologia. 2013 Sep;51(11):2294-304. doi: 10.1016/j.neuropsychologia.2013.06.022. Epub 2013 Jul 11.
Everyday action impairments often are observed in demented older adults, and they are common potential barriers to functional independence. We evaluated whether the ability to segment and efficiently encode activities is related to the ability to execute activities. Further, we evaluated whether brain regions important for segmentation also were important for action performance. Cognitively healthy older adults and those with very mild or mild dementia of the Alzheimer's type watched and segmented movies of everyday activities and then completed the Naturalistic Action Test. Structural MRI was used to measure volume in the dorsolateral prefrontal cortex (DLPFC), medial temporal lobes (MTL), posterior cortex, and anterior cingulate cortex (ACC). Dementia status and the ability to segment everyday activities strongly predicted naturalistic action performance, and MTL volume largely accounted for this relationship. In addition, the current results supported the Omission-Commission Model: Different cognitive and neurological mechanisms predicted different types of action error. Segmentation, dementia severity, and MTL volume predicted everyday omission errors, DLPFC volume predicted commission errors, and ACC volume predicted action additions. These findings suggest that event segmentation may be critical for effective action production, and that the segmentation and production of activities may recruit the same event representation system.
日常活动障碍在痴呆老年患者中经常观察到,并且是影响其功能独立的常见潜在障碍。我们评估了活动分割和有效编码能力与活动执行能力之间的关系。此外,我们还评估了对活动分割重要的脑区是否对动作表现也很重要。认知健康的老年患者和那些患有非常轻度或轻度阿尔茨海默病的患者观看并分割日常生活活动的电影,然后完成自然动作测试。结构磁共振成像用于测量背外侧前额叶皮层(DLPFC)、内侧颞叶(MTL)、后皮质和前扣带皮层(ACC)的体积。痴呆状态和分割日常活动的能力强烈预测了自然动作表现,而 MTL 体积在很大程度上解释了这种关系。此外,目前的结果支持了“遗漏-错误模型”:不同的认知和神经机制预测了不同类型的动作错误。分割、痴呆严重程度和 MTL 体积预测了日常遗漏错误,DLPFC 体积预测了错误执行,而 ACC 体积预测了动作添加。这些发现表明,事件分割可能对有效动作产生至关重要,并且活动的分割和产生可能会调用相同的事件表示系统。