Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task

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...

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Main Authors: Aino M. Saranpää, Sasa L. Kivisaari, Riitta Salmelin, Sabine Krumm
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.777656/full
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author Aino M. Saranpää
Aino M. Saranpää
Sasa L. Kivisaari
Riitta Salmelin
Sabine Krumm
Sabine Krumm
author_facet Aino M. Saranpää
Aino M. Saranpää
Sasa L. Kivisaari
Riitta Salmelin
Sabine Krumm
Sabine Krumm
author_sort Aino M. Saranpää
collection DOAJ
description 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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spelling doaj.art-f6e49a55e06c4b8cb0a9ed825d0f1eed2022-12-21T16:54:06ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-02-011310.3389/fpsyg.2022.777656777656Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency TaskAino M. Saranpää0Aino M. Saranpää1Sasa L. Kivisaari2Riitta Salmelin3Sabine Krumm4Sabine Krumm5Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University, Aalto, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University, Aalto, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University, Aalto, FinlandUniversity Department of Geriatric Medicine FELIX PLATTER, Basel, SwitzerlandFaculty of Medicine, University of Basel, Basel, SwitzerlandThe 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.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.777656/fullsemantic fluencyAlzheimer's diseaseMild Cognitive Impairmentt-SNEverbal fluencysemantic memory
spellingShingle Aino M. Saranpää
Aino M. Saranpää
Sasa L. Kivisaari
Riitta Salmelin
Sabine Krumm
Sabine Krumm
Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task
Frontiers in Psychology
semantic fluency
Alzheimer's disease
Mild Cognitive Impairment
t-SNE
verbal fluency
semantic memory
title Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task
title_full Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task
title_fullStr Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task
title_full_unstemmed Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task
title_short Moving in Semantic Space in Prodromal and Very Early Alzheimer's Disease: An Item-Level Characterization of the Semantic Fluency Task
title_sort moving in semantic space in prodromal and very early alzheimer s disease an item level characterization of the semantic fluency task
topic semantic fluency
Alzheimer's disease
Mild Cognitive Impairment
t-SNE
verbal fluency
semantic memory
url https://www.frontiersin.org/articles/10.3389/fpsyg.2022.777656/full
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