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A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease

Dementia is a debilitating and life-altering disease which leads to both memory impairment and decline of normal executive functioning. While causes of dementia are numerous and varied, the leading cause among patients 60 years and older is Alzheimer’s disease. The gold standard for Alzheimer’s diag...

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Autores principales: Appel, Jason, Potter, Elizabeth, Shen, Qian, Pantol, Gustavo, Greig, Maria T., Loewenstein, David, Duara, Ranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444287/
https://www.ncbi.nlm.nih.gov/pubmed/19847041
http://dx.doi.org/10.3233/BEN-2009-0225
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author Appel, Jason
Potter, Elizabeth
Shen, Qian
Pantol, Gustavo
Greig, Maria T.
Loewenstein, David
Duara, Ranjan
author_facet Appel, Jason
Potter, Elizabeth
Shen, Qian
Pantol, Gustavo
Greig, Maria T.
Loewenstein, David
Duara, Ranjan
author_sort Appel, Jason
collection PubMed
description Dementia is a debilitating and life-altering disease which leads to both memory impairment and decline of normal executive functioning. While causes of dementia are numerous and varied, the leading cause among patients 60 years and older is Alzheimer’s disease. The gold standard for Alzheimer’s diagnosis remains histological identification of amyloid plaques and neurofibrillary tangles within the medial temporal lobe, more specifically the entorhinal cortex and hippocampus. Although no definitive cure for Alzheimer's disease currently exists, there are treatments targeted at preserving cognition and memory while delaying continued loss of function. Alzheimer's disease exists along a spectrum of cognitive decline and is often preceded by Mild Cognitive Impairment (MCI). Patients with MCI demonstrate memory loss and cognitive impairment while still continuing normal activities of daily living, and are considered to be at increased risk for developing Alzheimer's Dementia. Identifying patients with prodromal states of Alzheimer's dementia such as MCI may allow initiation of appropriate treatment planning and delay of cognitive decline. Therefore, the need for a non-invasive early biomarker for the detection of Alzheimer's disease has never been greater. Multiple neuroimaging methods utilizing visual rating scales, volumetric measurements, and automated methods have been developed to identify, quantify, and track anatomic sequelae of Alzheimer’s Disease.
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spelling pubmed-54442872017-06-05 A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease Appel, Jason Potter, Elizabeth Shen, Qian Pantol, Gustavo Greig, Maria T. Loewenstein, David Duara, Ranjan Behav Neurol Research Article Dementia is a debilitating and life-altering disease which leads to both memory impairment and decline of normal executive functioning. While causes of dementia are numerous and varied, the leading cause among patients 60 years and older is Alzheimer’s disease. The gold standard for Alzheimer’s diagnosis remains histological identification of amyloid plaques and neurofibrillary tangles within the medial temporal lobe, more specifically the entorhinal cortex and hippocampus. Although no definitive cure for Alzheimer's disease currently exists, there are treatments targeted at preserving cognition and memory while delaying continued loss of function. Alzheimer's disease exists along a spectrum of cognitive decline and is often preceded by Mild Cognitive Impairment (MCI). Patients with MCI demonstrate memory loss and cognitive impairment while still continuing normal activities of daily living, and are considered to be at increased risk for developing Alzheimer's Dementia. Identifying patients with prodromal states of Alzheimer's dementia such as MCI may allow initiation of appropriate treatment planning and delay of cognitive decline. Therefore, the need for a non-invasive early biomarker for the detection of Alzheimer's disease has never been greater. Multiple neuroimaging methods utilizing visual rating scales, volumetric measurements, and automated methods have been developed to identify, quantify, and track anatomic sequelae of Alzheimer’s Disease. IOS Press 2009 2009-10-21 /pmc/articles/PMC5444287/ /pubmed/19847041 http://dx.doi.org/10.3233/BEN-2009-0225 Text en Copyright © 2009 Hindawi Publishing Corporation and the authors. http://creativecommons.org/licenses/by/3.0 This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Appel, Jason
Potter, Elizabeth
Shen, Qian
Pantol, Gustavo
Greig, Maria T.
Loewenstein, David
Duara, Ranjan
A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease
title A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease
title_full A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease
title_fullStr A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease
title_full_unstemmed A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease
title_short A Comparative Analysis of Structural Brain MRI in the Diagnosis of Alzheimer’s Disease
title_sort comparative analysis of structural brain mri in the diagnosis of alzheimer’s disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444287/
https://www.ncbi.nlm.nih.gov/pubmed/19847041
http://dx.doi.org/10.3233/BEN-2009-0225
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