Changing landscapes in the neuroimaging of dementia
Neuroimaging in dementia has advanced several folds in the past decade. It has evolved from diagnosing secondary causes of dementia to the current use in identifying primary dementia and aid in clinically perplexing situations. There has been a leap in the imaging technology that can virtually disse...
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Format: | Article |
Language: | English |
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Wolters Kluwer Medknow Publications
2018-01-01
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Series: | Annals of Indian Academy of Neurology |
Subjects: | |
Online Access: | http://www.annalsofian.org/article.asp?issn=0972-2327;year=2018;volume=21;issue=2;spage=98;epage=106;aulast=Ranganathan |
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author | Lakshmi Narasimhan Ranganathan Guhan R Arun Shivaraman MM Lenin Sankar P A V Srinivasan Suriyakumar G Periakaruppan A L |
author_facet | Lakshmi Narasimhan Ranganathan Guhan R Arun Shivaraman MM Lenin Sankar P A V Srinivasan Suriyakumar G Periakaruppan A L |
author_sort | Lakshmi Narasimhan Ranganathan |
collection | DOAJ |
description | Neuroimaging in dementia has advanced several folds in the past decade. It has evolved from diagnosing secondary causes of dementia to the current use in identifying primary dementia and aid in clinically perplexing situations. There has been a leap in the imaging technology that can virtually dissect the brain with a high degree of radiopathological correlation. The neuroimaging in dementia is classified into structural, functional, and molecular imaging. Structural imaging includes voxel-based morphometry and diffusion tensor imaging. Functional imaging includes 18F-fluorodeoxy glucose positron emission tomography imaging, 99mTc hexamethylpropyleneamineoxime single photon emission computed tomography imaging, and functional magnetic resonance imaging studies. Molecular imaging includes amyloid imaging, tau imaging, and translocated protein imaging. These advancements have led to using neuroimaging as a biomarker in assessing the progression and also in deciphering prognosis of the disease. In this article, we discuss the current clinical relevance of these neurological advancements. |
first_indexed | 2024-04-13T09:17:15Z |
format | Article |
id | doaj.art-f561a662433b4182ae7f7d0fc7723e65 |
institution | Directory Open Access Journal |
issn | 0972-2327 1998-3549 |
language | English |
last_indexed | 2024-04-13T09:17:15Z |
publishDate | 2018-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Annals of Indian Academy of Neurology |
spelling | doaj.art-f561a662433b4182ae7f7d0fc7723e652022-12-22T02:52:42ZengWolters Kluwer Medknow PublicationsAnnals of Indian Academy of Neurology0972-23271998-35492018-01-012129810610.4103/aian.AIAN_48_18Changing landscapes in the neuroimaging of dementiaLakshmi Narasimhan RanganathanGuhan RArun Shivaraman MMLenin Sankar PA V SrinivasanSuriyakumar GPeriakaruppan A LNeuroimaging in dementia has advanced several folds in the past decade. It has evolved from diagnosing secondary causes of dementia to the current use in identifying primary dementia and aid in clinically perplexing situations. There has been a leap in the imaging technology that can virtually dissect the brain with a high degree of radiopathological correlation. The neuroimaging in dementia is classified into structural, functional, and molecular imaging. Structural imaging includes voxel-based morphometry and diffusion tensor imaging. Functional imaging includes 18F-fluorodeoxy glucose positron emission tomography imaging, 99mTc hexamethylpropyleneamineoxime single photon emission computed tomography imaging, and functional magnetic resonance imaging studies. Molecular imaging includes amyloid imaging, tau imaging, and translocated protein imaging. These advancements have led to using neuroimaging as a biomarker in assessing the progression and also in deciphering prognosis of the disease. In this article, we discuss the current clinical relevance of these neurological advancements.http://www.annalsofian.org/article.asp?issn=0972-2327;year=2018;volume=21;issue=2;spage=98;epage=106;aulast=RanganathanBiomarkerdementiafunctional imagingmolecular imagingstructural imaging |
spellingShingle | Lakshmi Narasimhan Ranganathan Guhan R Arun Shivaraman MM Lenin Sankar P A V Srinivasan Suriyakumar G Periakaruppan A L Changing landscapes in the neuroimaging of dementia Annals of Indian Academy of Neurology Biomarker dementia functional imaging molecular imaging structural imaging |
title | Changing landscapes in the neuroimaging of dementia |
title_full | Changing landscapes in the neuroimaging of dementia |
title_fullStr | Changing landscapes in the neuroimaging of dementia |
title_full_unstemmed | Changing landscapes in the neuroimaging of dementia |
title_short | Changing landscapes in the neuroimaging of dementia |
title_sort | changing landscapes in the neuroimaging of dementia |
topic | Biomarker dementia functional imaging molecular imaging structural imaging |
url | http://www.annalsofian.org/article.asp?issn=0972-2327;year=2018;volume=21;issue=2;spage=98;epage=106;aulast=Ranganathan |
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