Objective:The Montreal Cognitive Assessment (MoCA) is a popular and simple-to-administer screening instrument to detect cognitive impairment. The MoCA generates a total score and six domain-specific index scores: (1) Memory, (2) Executive Functioning, (3) Attention, (4) Language, (5) Visuospatial, and (6) Orientation. It is unclear whether these MoCA scores can differentiate between distinct clinical dementia syndromes. This study compared MoCA Index scores between amnestic dementia of the Alzheimer’s type (DAT) and primary progressive aphasia (PPA), a language-based dementia.Method:Baseline MoCA data were analyzed from 33 DAT, 37 PPA, and 83 cognitively normal individuals enrolled in the Clinical Core of the Northwestern Alzheimer’s Disease Center. A one-way analysis of covariance adjusted for age was used to compare MoCA scores among groups. A logistic regression model was implemented to observe individual likelihood of group affiliation based on MoCA Index scores.Results:The mean MoCA total score was significantly higher in controls compared to both patient groups (p < .001) but did not differ between DAT and PPA groups. However, in accordance with salient clinical features commonly observed in DAT versus PPA, Memory and Orientation Index scores were lowest in the DAT group (p < .001), whereas Language and Attention Index scores were lowest in the PPA group (p < .001). Multivariate logistic regression analysis showed that the individual effects of Memory (p = .001), Language (p = .002), and Orientation (p = .025) Indices were significant.Conclusions:MoCA Index scores can help differentiate among distinct cognitive syndromes, suggesting it may be a useful brief screening tool to detect domain-specific cognitive impairment.

中文翻译：

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蒙特利尔认知评估 (MoCA) 表现和领域特定指数得分在遗忘症与失语性痴呆中的表现

目的：蒙特利尔认知评估（MoCA）是一种流行且易于管理的筛查工具，用于检测认知障碍。MoCA 生成一个总分和六个特定领域的指数分数：(1) 记忆力，(2) 执行功能，(3) 注意力，(4) 语言，(5) 视觉空间和 (6) 方向。目前尚不清楚这些 MoCA 评分是否可以区分不同的临床痴呆综合征。本研究比较了阿尔茨海默病型遗忘性痴呆 (DAT) 和原发性进行性失语症 (PPA)（一种基于语言的痴呆）之间的 MoCA 指数评分。方法：分析了 33 个 DAT、37 个 PPA 和 83 个认知正常个体的基线 MoCA 数据在西北阿尔茨海默病中心的临床核心。使用针对年龄调整的协方差的单向分析来比较组间的 MoCA 分数。p< .001) 但在 DAT 和 PPA 组之间没有差异。然而，根据 DAT 中常见的显着临床特征相对DAT 组的 PPA、记忆力和定向指数得分最低（p< .001），而语言和注意力指数得分在 PPA 组中最低（p< .001)。多元逻辑回归分析表明，记忆力的个体效应（p= .001), 语言 (p= .002) 和方向 (p= .025) 指数显着。结论：MoCA 指数评分可以帮助区分不同的认知综合征，这表明它可能是检测特定领域认知障碍的有用的简短筛查工具。