Birmingham VA Medical Center, USA; Department of Neurology, University of Alabama at Birmingham, USA.
Division of Gerontology, Geriatrics, and Palliative Care, Department of Medicine, University of Alabama at Birmingham, USA.
Neuropsychologia. 2014 Feb;54:98-111. doi: 10.1016/j.neuropsychologia.2013.12.010. Epub 2013 Dec 30.
To evaluate assumptions regarding semantic (noun), verb, and letter fluency in mild cognitive impairment (MCI) and Alzheimer disease (AD) using novel techniques for measuring word similarity in fluency lists and a region of interest (ROI) analysis of gray matter correlates.
Fifty-eight individuals with normal cognition (NC, n=25), MCI (n=23), or AD (n=10) underwent neuropsychological tests, including 10 verbal fluency tasks (three letter tasks [F, A, S], six noun categories [animals, water creatures, fruits and vegetables, tools, vehicles, boats], and verbs). All pairs of words generated by each participant on each task were compared in terms of semantic (meaning), orthographic (spelling), and phonemic (pronunciation) similarity. We used mixed-effects logistic regression to determine which lexical factors were predictive of word adjacency within the lists. Associations between each fluency raw score and gray matter volumes in sixteen ROIs were identified by means of multiple linear regression. We evaluated causal models for both types of analyses to specify the contributions of diagnosis and various mediator variables to the outcomes of word adjacency and fluency raw score.
Semantic similarity between words emerged as the strongest predictor of word adjacency for all fluency tasks, including the letter fluency tasks. Semantic similarity mediated the effect of cognitive impairment on word adjacency only for three fluency tasks employing a biological cue. Orthographic similarity was predictive of word adjacency for the A and S tasks, while phonemic similarity was predictive only for the S task and one semantic task (vehicles). The ROI analysis revealed different patterns of correlations among the various fluency tasks, with the most common associations in the right lower temporal and bilateral dorsal frontal regions. Following correction with gray matter volumes from the opposite hemisphere, significant associations persisted for animals, vehicles, and a composite nouns score in the left inferior frontal gyrus, but for letter A, letter S, and a composite FAS score in the right inferior frontal gyrus. These regressions also revealed a lateralized association of the left subcortical nuclei with all letter fluency scores and fruits and vegetables fluency, and an association of the right lower temporal ROI with letter A, FAS, and verb fluency. Gray matter volume in several bihemispheric ROIs (left dorsal frontal, right lower temporal, right occipital, and bilateral mesial temporal) mediated the relationship between cognitive impairment and fluency for fruits and vegetables. Gray matter volume in the right lower temporal ROI mediated the relationship between cognitive impairment and five fluency raw scores (animals, fruits and vegetables, tools, verbs, and the composite nouns score).
Semantic memory exerts the strongest influence on word adjacency in letter fluency as well as semantic verbal fluency tasks. Orthography is a stronger influence than pronunciation. All types of fluency task raw scores (letter, noun, and verb) correlate with cerebral regions known to support verbal or nonverbal semantic memory. The findings emphasize the contribution of right hemisphere regions to fluency task performance, particularly for verb and letter fluency. The relationship between diagnosis and semantic fluency performance is mediated by semantic similarity of words and by gray matter volume in the right lower temporal region.
使用测量流畅性列表中单词相似性的新方法和感兴趣区域(ROI)分析灰质相关性,评估轻度认知障碍(MCI)和阿尔茨海默病(AD)中语义(名词)、动词和字母流畅性的假设。
58 名认知正常(NC,n=25)、MCI(n=23)或 AD(n=10)的个体接受神经心理学测试,包括 10 项语言流畅性任务(3 项字母任务 [F、A、S]、6 项名词类别 [动物、水生生物、水果和蔬菜、工具、车辆、船只] 和动词)。每位参与者在每项任务中生成的所有单词对都根据语义(含义)、正字法(拼写)和语音(发音)相似性进行比较。我们使用混合效应逻辑回归来确定词汇因素中哪些因素是列表内单词相邻的预测因素。通过多元线性回归确定每个流畅性原始分数与 16 个 ROI 中的灰质体积之间的关联。我们评估了这两种分析的因果模型,以确定诊断和各种中介变量对单词相邻和流畅性原始分数结果的贡献。
在所有流畅性任务中,语义相似性是单词相邻的最强预测因素,包括字母流畅性任务。语义相似性仅在使用生物线索的三个流畅性任务中调节认知障碍对单词相邻的影响。正字法相似性是 A 和 S 任务的预测因素,而语音相似性仅适用于 S 任务和一个语义任务(车辆)。ROI 分析揭示了各种流畅性任务之间不同的关联模式,最常见的关联存在于右侧下颞叶和双侧背侧额叶区域。在使用对侧半球的灰质体积进行校正后,左侧下额回中与动物、车辆和名词综合得分相关的显著关联仍然存在,但在右侧下额回中与字母 A、S 和 FAS 综合得分相关的显著关联仍然存在。这些回归还揭示了左侧皮质下核与所有字母流畅性评分和水果和蔬菜流畅性以及右侧下颞叶 ROI 与字母 A、FAS 和动词流畅性的偏侧关联。在几个双半球 ROI(左侧背侧额叶、右侧下颞叶、右侧枕叶和双侧内侧颞叶)中的灰质体积介导了认知障碍与水果和蔬菜之间的流畅性关系。右侧下颞叶 ROI 中的灰质体积介导了认知障碍与五个流畅性原始分数(动物、水果和蔬菜、工具、动词和名词综合分数)之间的关系。
语义记忆对字母流畅性以及语义语言流畅性任务中的单词相邻性具有最强的影响。正字法的影响大于发音。所有类型的流畅性任务原始分数(字母、名词和动词)与已知支持言语或非言语语义记忆的大脑区域相关。研究结果强调了右侧半球区域对流畅性任务表现的贡献,特别是对动词和字母流畅性的贡献。诊断和语义流畅性表现之间的关系由单词的语义相似性和右侧下颞叶的灰质体积来调节。