Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementia

Verbal fluency tasks require generation of words beginning with a letter (phonemic fluency; PF) or from a category (category fluency; CF) within a limited time period. Generally, total output on CF has been used to discriminate Mild Cognitive Impairment (MCI) from Alzheimer's disease (AD), while poor PF has been used as a marker for behavioral-variant frontotemporal dementia (bvFTD). However, in the absence of this disparate performance, further characterization of the task becomes necessary. Objective: We examined whether fluency, as well as its components, clustering (successively generated words belonging to a category) and switching (shifting between categories) carried diagnostic utility in discriminating AD from MCI and bvFTD. Methods: PF (letter 'P') and CF ('animals') tasks were administered in English to patients with MCI (n=25), AD (n=37), and bvFTD (n=17). Clustering and switching scores were calculated using established criteria. Results: Our findings suggested that up to 85% of AD and MCI could be successfully discriminated based on total number of responses and switching in CF alone. PF-CF disparity was not noted in AD or bvFTD. Performance on clustering or switching also proved insufficient to discriminate AD from bvFTD. Conclusion: Switching was found to be useful when differentiating AD from MCI. In AD and bvFTD, the course of progression of the disease may lead to attenuation of total number of responses produced on both tasks to an extent where clustering and switching may not be useful measures to discriminate these dementias from each other.

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Main Authors: Ramanan,Siddharth, Narayanan,Jwala, D'Souza,Tanya Perpetua, Malik,Kavita Shivani, Ratnavalli,Ellajosyula
Format: Digital revista
Language:English
Published: Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento 2015
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642015000300251
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spelling oai:scielo:S1980-576420150003002512017-10-05Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementiaRamanan,SiddharthNarayanan,JwalaD'Souza,Tanya PerpetuaMalik,Kavita ShivaniRatnavalli,Ellajosyula verbal fluency clustering switching dementia mild cognitive impairment Verbal fluency tasks require generation of words beginning with a letter (phonemic fluency; PF) or from a category (category fluency; CF) within a limited time period. Generally, total output on CF has been used to discriminate Mild Cognitive Impairment (MCI) from Alzheimer's disease (AD), while poor PF has been used as a marker for behavioral-variant frontotemporal dementia (bvFTD). However, in the absence of this disparate performance, further characterization of the task becomes necessary. Objective: We examined whether fluency, as well as its components, clustering (successively generated words belonging to a category) and switching (shifting between categories) carried diagnostic utility in discriminating AD from MCI and bvFTD. Methods: PF (letter 'P') and CF ('animals') tasks were administered in English to patients with MCI (n=25), AD (n=37), and bvFTD (n=17). Clustering and switching scores were calculated using established criteria. Results: Our findings suggested that up to 85% of AD and MCI could be successfully discriminated based on total number of responses and switching in CF alone. PF-CF disparity was not noted in AD or bvFTD. Performance on clustering or switching also proved insufficient to discriminate AD from bvFTD. Conclusion: Switching was found to be useful when differentiating AD from MCI. In AD and bvFTD, the course of progression of the disease may lead to attenuation of total number of responses produced on both tasks to an extent where clustering and switching may not be useful measures to discriminate these dementias from each other.info:eu-repo/semantics/openAccessAcademia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e EnvelhecimentoDementia & Neuropsychologia v.9 n.3 20152015-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642015000300251en10.1590/1980-57642015dn93000007
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language English
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author Ramanan,Siddharth
Narayanan,Jwala
D'Souza,Tanya Perpetua
Malik,Kavita Shivani
Ratnavalli,Ellajosyula
spellingShingle Ramanan,Siddharth
Narayanan,Jwala
D'Souza,Tanya Perpetua
Malik,Kavita Shivani
Ratnavalli,Ellajosyula
Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementia
author_facet Ramanan,Siddharth
Narayanan,Jwala
D'Souza,Tanya Perpetua
Malik,Kavita Shivani
Ratnavalli,Ellajosyula
author_sort Ramanan,Siddharth
title Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementia
title_short Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementia
title_full Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementia
title_fullStr Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementia
title_full_unstemmed Total output and switching in ategory fluency successfully iscriminates Alzheimer's disease from Mild Cognitive Impairment, but not from frontotemporal dementia
title_sort total output and switching in ategory fluency successfully iscriminates alzheimer's disease from mild cognitive impairment, but not from frontotemporal dementia
description Verbal fluency tasks require generation of words beginning with a letter (phonemic fluency; PF) or from a category (category fluency; CF) within a limited time period. Generally, total output on CF has been used to discriminate Mild Cognitive Impairment (MCI) from Alzheimer's disease (AD), while poor PF has been used as a marker for behavioral-variant frontotemporal dementia (bvFTD). However, in the absence of this disparate performance, further characterization of the task becomes necessary. Objective: We examined whether fluency, as well as its components, clustering (successively generated words belonging to a category) and switching (shifting between categories) carried diagnostic utility in discriminating AD from MCI and bvFTD. Methods: PF (letter 'P') and CF ('animals') tasks were administered in English to patients with MCI (n=25), AD (n=37), and bvFTD (n=17). Clustering and switching scores were calculated using established criteria. Results: Our findings suggested that up to 85% of AD and MCI could be successfully discriminated based on total number of responses and switching in CF alone. PF-CF disparity was not noted in AD or bvFTD. Performance on clustering or switching also proved insufficient to discriminate AD from bvFTD. Conclusion: Switching was found to be useful when differentiating AD from MCI. In AD and bvFTD, the course of progression of the disease may lead to attenuation of total number of responses produced on both tasks to an extent where clustering and switching may not be useful measures to discriminate these dementias from each other.
publisher Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento
publishDate 2015
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642015000300251
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