A simple counting of verbal fluency errors discriminates between normal cognition, mild cognitive impairment and Alzheimer's disease
For this observational cross-sectional study, different modalities of verbal fluency tasks (VFTs) were compared between 143 participants: 35 cognitively healthy controls (CHCs), 71 mild cognitive impairment (MCI) and 37 mild Alzheimer's disease (AD) patients. Binomial logistic regression models...
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| Published in: | Aging, Neuropsychology, and Cognition Vol. 30; no. 3; pp. 370 - 387 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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04-05-2023
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| Abstract | For this observational cross-sectional study, different modalities of verbal fluency tasks (VFTs) were compared between 143 participants: 35 cognitively healthy controls (CHCs), 71 mild cognitive impairment (MCI) and 37 mild Alzheimer's disease (AD) patients. Binomial logistic regression models were defined to identify VFT variables associated with MCI and AD, with respect to CHC. The results showed that the best errors/repetitions variable associated with MCI and AD was the phonemic task, and with every error the odds of being in the MCI group increased 9.9 times and 12.2 times in AD group, accompanied by high accuracy values (MCI: AUC = 0.824, sensitivity = 0.676, specificity = 0.943; AD: AUC = 0.883, sensitivity = 0.784, specificity = 0.943). The results suggest that, in addition to solely register raw scores, a simple counting of errors and repetitions during VFT can offer valuable clues in detecting MCI and AD, especially in the phonemic task. |
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| AbstractList | For this observational cross-sectional study, different modalities of verbal fluency tasks (VFTs) were compared between 143 participants: 35 cognitively healthy controls (CHCs), 71 mild cognitive impairment (MCI) and 37 mild Alzheimer's disease (AD) patients. Binomial logistic regression models were defined to identify VFT variables associated with MCI and AD, with respect to CHC. The results showed that the best errors/repetitions variable associated with MCI and AD was the phonemic task, and with every error the odds of being in the MCI group increased 9.9 times and 12.2 times in AD group, accompanied by high accuracy values (MCI: AUC = 0.824, sensitivity = 0.676, specificity = 0.943; AD: AUC = 0.883, sensitivity = 0.784, specificity = 0.943). The results suggest that, in addition to solely register raw scores, a simple counting of errors and repetitions during VFT can offer valuable clues in detecting MCI and AD, especially in the phonemic task. |
| Author | Wajman, José R. Cecchini, Mário A. |
| Author_xml | – sequence: 1 givenname: José R. orcidid: 0000-0002-9296-2498 surname: Wajman fullname: Wajman, José R. email: jrwajman@gmail.com organization: Federal University of São Paulo (UNIFESP) – sequence: 2 givenname: Mário A. orcidid: 0000-0001-5853-3422 surname: Cecchini fullname: Cecchini, Mário A. organization: University of Edinburgh |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35174776$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Alzheimer Disease - psychology Alzheimer's disease Cognition Cognitive Dysfunction - diagnosis Cross-Sectional Studies Dementia Humans Mild cognitive impairment Neuropsychological Tests verbal fluency verbal fluency errors |
| Title | A simple counting of verbal fluency errors discriminates between normal cognition, mild cognitive impairment and Alzheimer's disease |
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