scholarly journals Characterization of Mexican Americans with Mild Cognitive Impairment and Alzheimer's Disease

2012 ◽  
Vol 33 (2) ◽  
pp. 373-379 ◽  
Author(s):  
Sid E. O'Bryant ◽  
Leigh Johnson ◽  
Valerie Balldin ◽  
Melissa Edwards ◽  
Robert Barber ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Mexican Americans

Using Fractional Anisotropy Imaging to Detect Mild Cognitive Impairment and Alzheimer’s Disease among Mexican Americans and Non-Hispanic Whites: A HABLE Study

2021 ◽  
pp. 1-8
Author(s):  
James R. Hall ◽  
Leigh A. Johnson ◽  
Fan Zhang ◽  
Melissa Petersen ◽  
Arthur W. Toga ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fractional Anisotropy ◽  
Mexican Americans ◽  
Diffusion Tensor ◽  
Characteristic Curve ◽  
Aging Brain ◽  
Community Based

<b><i>Introduction:</i></b> Alzheimer’s disease (AD) is the most frequently occurring neurodegenerative disease; however, little work has been conducted examining biomarkers of AD among Mexican Americans. Here, we examined diffusion tensor MRI marker profiles for detecting mild cognitive impairment (MCI) and dementia in a multi-ethnic cohort. <b><i>Methods:</i></b> 3T MRI measures of fractional anisotropy (FA) were examined among 1,636 participants of the ongoing community-based Health &amp; Aging Brain among Latino Elders (HABLE) community-based study (Mexican American <i>n</i> = 851; non-Hispanic white <i>n</i> = 785). <b><i>Results:</i></b> The FA profile was highly accurate in detecting both MCI (area under the receiver operating characteristic curve [AUC] = 0.99) and dementia (AUC = 0.98). However, the FA profile varied significantly not only between diagnostic groups but also between Mexican Americans and non-Hispanic whites. <b><i>Conclusion:</i></b> Findings suggest that diffusion tensor imaging markers may have a role in the neurodiagnostic process for detecting MCI and dementia among diverse populations.

P2-440: MEG CHARACTERIZATION OF ALZHEIMER'S DISEASE AND MILD COGNITIVE IMPAIRMENT IN PEOPLE WITH DOWN SYNDROME

2006 ◽  
Vol 14 (7S_Part_16) ◽  
pp. P884-P884
Author(s):  
Federico Ramirez Toraño ◽  
Javier García Alba ◽  
Ricardo Bruña Fernández
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Down Syndrome ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment

Neuropsychological and neurophysiological characterization of mild cognitive impairment and Alzheimer's disease in Down syndrome

2019 ◽  
Vol 84 ◽  
pp. 70-79 ◽  
Author(s):  
Javier García-Alba ◽  
Federico Ramírez-Toraño ◽  
Susanna Esteba-Castillo ◽  
Ricardo Bruña ◽  
Fernando Moldenhauer ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Down Syndrome ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment

Characterization of Alzheimer’s Disease and Mild Cognitive Impairment in Older Adults in Panama

2016 ◽  
Vol 54 (3) ◽  
pp. 897-901 ◽  
Author(s):  
Alcibiades E. Villarreal ◽  
Shantal Grajales ◽  
Sid E. O’Bryant ◽  
Melissa Edwards ◽  
Lineth López ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment

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

2015 ◽  
Vol 9 (3) ◽  
pp. 251-257 ◽  
Author(s):  
Siddharth Ramanan ◽  
Jwala Narayanan ◽  
Tanya Perpetua D'Souza ◽  
Kavita Shivani Malik ◽  
Ellajosyula Ratnavalli
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Frontotemporal Dementia ◽  
Verbal Fluency ◽  
Total Output ◽  
Time Period ◽  
Phonemic Fluency

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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