A simple counting of verbal fluency errors discriminates between normal cognition, mild cognitive impairment and Alzheimer's disease.

Autor: Wajman JR; Department of Neurology and Neurosurgery, Hospital São Paulo, Federal University of São Paulo (UNIFESP), São Paulo, Brazil., Cecchini MA; Human Cognitive Neuroscience, Psychology Department, University of Edinburgh, Edinburgh, UK.
Jazyk: angličtina
Zdroj: Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition [Neuropsychol Dev Cogn B Aging Neuropsychol Cogn] 2023 May; Vol. 30 (3), pp. 370-387. Date of Electronic Publication: 2022 Feb 17.
DOI: 10.1080/13825585.2022.2035668
Abstrakt: 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.
Databáze: MEDLINE