Nikolaev Alexandre, Higby Eve, Hyun JungMoon, Ashaie Sameer
Helsinki Collegium for Advanced Studies, University of Helsinki;
University of California, Riverside; California State University, East Bay.
J Vis Exp. 2019 Jun 25(148). doi: 10.3791/59753.
Older adults are slower at recognizing visual objects than younger adults. The same is true for recognizing that a letter string is a real word. People with Alzheimer's disease (AD) or Mild Cognitive Impairment (MCI) demonstrate even longer responses in written word recognition than elderly controls. Despite the general tendency towards slower recognition in aging and neurocognitive disorders, certain characteristics of words influence word recognition speed regardless of age or neuropathology (e.g., a word's frequency of use). We present here a protocol for examining the influence of lexical characteristics on word recognition response times in a simple lexical decision experiment administered to younger and older adults and people with MCI or AD. In this experiment, participants are asked to decide as quickly and accurately as possible whether a given letter string is an actual word or not. We also describe mixed-effects models and principal components analysis that can be used to detect the influence of different types of lexical variables or individual characteristics of participants on word recognition speed.
老年人识别视觉对象的速度比年轻人慢。识别一个字母串是一个真实的单词时也是如此。患有阿尔茨海默病(AD)或轻度认知障碍(MCI)的人在书面单词识别中的反应时间比老年对照组更长。尽管在衰老和神经认知障碍中普遍存在识别速度较慢的趋势,但单词的某些特征会影响单词识别速度,而与年龄或神经病理学无关(例如,单词的使用频率)。我们在此介绍一种方案,用于在对年轻人、老年人以及患有MCI或AD的人进行的简单词汇判断实验中,研究词汇特征对单词识别反应时间的影响。在这个实验中,要求参与者尽可能快速准确地判断给定的字母串是否为实际的单词。我们还描述了混合效应模型和主成分分析,可用于检测不同类型的词汇变量或参与者的个体特征对单词识别速度的影响。