Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task.
Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task.
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DOI：
10.3389/fpsyg.2022.777656
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发表时间：
2022
影响因子：
3.8
通讯作者：
Krumm S
中科院分区：
文献类型：
--
作者：
Saranpää AM;Kivisaari SL;Salmelin R;Krumm S
语义流畅性任务是阿尔茨海默病诊断过程中广泛使用的临床工具。该任务需要语义空间的有效映射，以在语义类别内产生尽可能多的项目。我们研究了健康志愿者（n = 42）和早期阿尔茨海默病患者（24例诊断为遗忘型轻度认知障碍和18例早期阿尔茨海默病痴呆）是否利用语义空间并以不同的方式旅行。针对动物流畅性任务，我们试图利用自然语言处理领域的word 2 vec方法来模拟多维语义空间的详细结构。为了使生成的多维语义空间在视觉上易于理解，我们应用了降维算法（t-SNE），该算法可以将语义空间直接划分为子类别。语义空间中的移动被量化为创建的项目数量，访问的子类别，以及切换和返回到这些子类别。多项逻辑回归模型被用来预测诊断组与这些独立变量。我们发现，除了任务中产生的单词数量外，返回到子类别还提供了额外的信息，以区分阿尔茨海默氏症痴呆患者与遗忘型轻度认知障碍患者和健康对照。结果表明，返回到子类别的频率可以作为临床医生诊断早期阿尔茨海默病的额外帮助。此外，我们的研究结果表明，word 2 vec和随后的t-SNE可视化的组合可能提供一个有价值的工具，用于检查语义空间及其子类别。
The semantic fluency task is a widely used clinical tool in the diagnostic process of Alzheimer's disease. The task requires efficient mapping of the semantic space to produce as many items as possible within a semantic category. We examined whether healthy volunteers (n = 42) and patients with early Alzheimer's disease (24 diagnosed with amnestic Mild Cognitive Impairment and 18 with early Alzheimer's dementia) take advantage of and travel in the semantic space differently. With focus on the animal fluency task, we sought to emulate the detailed structure of the multidimensional semantic space by utilizing word2vec-method from the natural language processing domain. To render the resulting multidimensional semantic space visually comprehensible, we applied a dimensionality reduction algorithm (t-SNE), which enabled a straightforward division of the semantic space into sub-categories. Moving in semantic space was quantified with the number of items created, sub-categories visited, and switches and returns to these sub-categories. Multinomial logistic regression models were used to predict the diagnostic group with these independent variables. We found that returning to a sub-category provided additional information, besides the number of words produced in the task, to differentiate patients with Alzheimer's dementia from both amnestic Mild Cognitive Impairment patients and healthy controls. The results suggest that the frequency of returning to a sub-category may serve as an additional aid for clinicians in diagnosing early Alzheimer's disease. Moreover, our results imply that the combination of word2vec and subsequent t-SNE-visualization may offer a valuable tool for examining the semantic space and its sub-categories.
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DOI：
10.1093/arclin/acaa109
发表时间：
2021-07-19
期刊：
Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists
影响因子：
--
作者：
Krumm S;Berres M;Kivisaari SL;Monsch AU;Reinhardt J;Blatow M;Kressig RW;Taylor KI
通讯作者：
Taylor KI
DOI：
10.1016/j.jalz.2011.03.005
发表时间：
2011-05
期刊：
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子：
--
作者：
McKhann GM;Knopman DS;Chertkow H;Hyman BT;Jack CR Jr;Kawas CH;Klunk WE;Koroshetz WJ;Manly JJ;Mayeux R;Mohs RC;Morris JC;Rossor MN;Scheltens P;Carrillo MC;Thies B;Weintraub S;Phelps CH
通讯作者：
Phelps CH
影响因子：
3.2
作者：
Melit Devassy B;George S;Nussbaum P
通讯作者：
Nussbaum P
影响因子：
16.6
作者：
Kivisaari, Sasa L.;van Vliet, Marijn;Salmelin, Riitta
通讯作者：
Salmelin, Riitta
DOI：
10.1198/106186008x318440
发表时间：
2008-06-01
影响因子：
2.4
作者：
Buja, Andreas;Swayne, Deborah F.;Chen, Lisha
通讯作者：
Chen, Lisha