Literature DB >> 34569460

Design and Verbal Fluency in Alzheimer's Disease and Frontotemporal Dementia: Clinical and Metabolic Correlates.

Alfonso Delgado-Álvarez1, María Nieves Cabrera-Martín2, Vanesa Pytel1, Cristina Delgado-Alonso1, Jorge Matías-Guiu1, Jordi A Matias-Guiu1.   

Abstract

OBJECTIVE: Cognitive processes underlying verbal and design fluency, and their neural correlates in patients with Alzheimer's disease (AD) and behavioural variant Frontotemporal Dementia (bvFTD) remain unclear. We hypothesised that verbal and design fluency may be associated with distinct neuropsychological processes in AD and FTD, showing different patterns of impairment and neural basis.
METHODS: We enrolled 142 participants including patients with AD (n = 80, mean age = 74.71), bvFTD (n = 34, mean age = 68.18), and healthy controls (HCs) (n = 28, mean age = 71.14), that underwent cognitive assessment and 18F-fluorodeoxyglucose positron emission tomography imaging.
RESULTS: Semantic and phonemic fluency showed the largest effect sizes between groups, showing lower scores in bvFTD than AD and HCs, and lower scores in AD than HC. Both AD and bvFTD showed a lower number of unique designs in design fluency in comparison to HC. Semantic fluency was correlated with left frontotemporal lobe in AD, and with left frontal, caudate, and thalamus in bvFTD. Percentage of unique designs in design fluency was associated with the metabolism of the bilateral fronto-temporo-parietal cortex in AD, and the bilateral frontal cortex with right predominance in bvFTD. Repetitions in AD were correlated with bilateral frontal, temporal, and parietal lobes, and with left prefrontal cortex in bvFTD.
CONCLUSIONS: Our findings demonstrate differential underlying cognitive processes in verbal and design fluency in AD and bvFTD. While memory and executive functioning associated with fronto-temporo-parietal regions were key in AD, attention and executive functions correlated with the frontal cortex and played a more significant role in bvFTD during fluency tasks.

Entities:  

Keywords:  Alzheimer’s; Fluency; Frontotemporal; Neuropsychological; Positron; assessment; dementia; disease; emission; tomography

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Year:  2021        PMID: 34569460     DOI: 10.1017/S1355617721001144

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   3.114


  1 in total

1.  GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer's disease and frontotemporal dementia using genetic algorithms.

Authors:  Fernando García-Gutierrez; Josefa Díaz-Álvarez; Jordi A Matias-Guiu; Vanesa Pytel; Jorge Matías-Guiu; María Nieves Cabrera-Martín; José L Ayala
Journal:  Med Biol Eng Comput       Date:  2022-07-19       Impact factor: 3.079

  1 in total

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