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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2009
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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. |
format | Online Article Text |
id | pubmed-5444287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
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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