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Semantic verbal fluency: network analysis in Alzheimer's and Parkinson's disease
Semantic verbal fluency (SVF) help to evaluate lexical retrieval and the semantic organisation. SVF scores are considered a good predictor of cognitive impairment. This study examines the structure and organisation of semantic networks through a network graph analysis of an SVF task performed by per...
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Published in: | Journal of cognitive psychology (Hove, England) England), 2021-07, Vol.33 (5), p.557-567 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Semantic verbal fluency (SVF) help to evaluate lexical retrieval and the semantic organisation. SVF scores are considered a good predictor of cognitive impairment. This study examines the structure and organisation of semantic networks through a network graph analysis of an SVF task performed by persons with typical aging (TA), Parkinson's disease (PD), or Alzheimer's disease (AD). Typically aging participants behave differently than those with PD and AD. Those in the AD group produced fewer words than those in the other two groups, controlling for cognitive impairment based on the Mini-Mental State Exam. The AD group presented a smaller number of nodes and edges than those with PD and TA. The small-worldness index of the PD and AD groups, but not of the TA group, was similar to that of the permuted distribution. We interpret this outcome as the consequence of problems in information transmission between concepts in the semantic network. |
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ISSN: | 2044-5911 2044-592X |
DOI: | 10.1080/20445911.2021.1943414 |