Literature DB >> 12595205

Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging.

Gaël Chetelat1, Jean-Claude Baron.   

Abstract

To accurately predict the development of Alzheimer's disease (AD) at its predementia stage would be a major breakthrough from both therapeutic and research standpoints. In this review, our focus is on markers obtained with structural imaging--especially magnetic resonance imaging (MRI)--and on studies of subjects at risk of developing AD. Among the latter, amnestic mild cognitive impairment (MCI) is currently the most commonly accepted reference, and therefore is specially targeted in this review. MCI refers to patients with significant but isolated memory impairment relative to subjects of identical age. Consistent with established histopathological data, structural imaging studies comparing patients with early probable AD to healthy aged subjects have shown that the most specific and sensitive features of AD at this stage are hippocampal and entorhinal cortex atrophy, especially when combined with a reduced volume of the temporal neocortex. MCI patients have significant hippocampal atrophy when compared to aged normal controls. When comparing patients with probable AD to MCI subjects, hippocampal region atrophy significantly extends to the neighboring temporal association neocortex. However, only longitudinal studies of MCI subjects are suited to assess (in a retrospective way) the predictive value of initial atrophy measurements for progression to AD. Few such studies have been published so far and for the most they were based on small samples. Furthermore, the comparison among studies is clouded by differences in both populations studied and MRI methodology used. Nevertheless, comparing the initial MRI data of at-risk subjects who convert to AD at follow-up to those of nonconverters suggests that a reduced association temporal neocortex volume combined with hippocampal or anterior cingulate cortex atrophy may be the best predictor of progression to AD. These data, although still preliminary, are consistent with postmortem studies describing the hierarchical progression of tau lesions in normal aging and early stages of AD, such that damage to the medial temporal lobe and association cortex would account for the memory and nonmemory cognitive impairments, respectively, the combination of which is required to operationally define probable AD. Future research in this field should capitalize on thorough methodology for brain structure delineation, and combine atrophy measurements to cognitive and/or functional imaging data.

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Mesh:

Year:  2003        PMID: 12595205     DOI: 10.1016/s1053-8119(02)00026-5

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  109 in total

1.  Cerebral Blood Flow Is Associated with Diagnostic Class and Cognitive Decline in Alzheimer's Disease.

Authors:  Wenna Duan; Parshant Sehrawat; Arvind Balachandrasekaran; Ashish B Bhumkar; Paresh B Boraste; James T Becker; Lewis H Kuller; Oscar L Lopez; H Michael Gach; Weiying Dai
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

2.  Object recognition memory and BDNF expression are reduced in young TgCRND8 mice.

Authors:  Beverly M Francis; John Kim; Meredith E Barakat; Stephan Fraenkl; Yeni H Yücel; Shiyong Peng; Bernadeta Michalski; Margaret Fahnestock; Joanne McLaurin; Howard T J Mount
Journal:  Neurobiol Aging       Date:  2010-05-05       Impact factor: 4.673

Review 3.  Potential predictors of hippocampal atrophy in Alzheimer's disease.

Authors:  Vikas Dhikav; Kuljeet Anand
Journal:  Drugs Aging       Date:  2011-01-01       Impact factor: 3.923

4.  Voxel Level Survival Analysis of Grey Matter Volume and Incident Mild Cognitive Impairment or Alzheimer's Disease.

Authors:  Lubov E Zeifman; William F Eddy; Oscar L Lopez; Lewis H Kuller; Cyrus Raji; Paul M Thompson; James T Becker
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

5.  Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment.

Authors:  Owen T Carmichael; Howard A Aizenstein; Simon W Davis; James T Becker; Paul M Thompson; Carolyn Cidis Meltzer; Yanxi Liu
Journal:  Neuroimage       Date:  2005-10-01       Impact factor: 6.556

6.  Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.

Authors:  Yingying Zhu; Xiaofeng Zhu; Minjeong Kim; Dinggang Shen; Guorong Wu
Journal:  Med Image Comput Comput Assist Interv       Date:  2016-10-02

7.  Hippocampal atrophy relates to fluid intelligence decline in the elderly.

Authors:  Aaron Reuben; Adam M Brickman; Jordan Muraskin; Jason Steffener; Yaakov Stern
Journal:  J Int Neuropsychol Soc       Date:  2010-11-24       Impact factor: 2.892

8.  fMRI activation changes during successful episodic memory encoding and recognition in amnestic mild cognitive impairment relative to cognitively healthy older adults.

Authors:  Mehul A Trivedi; Christopher M Murphy; Celine Goetz; Raj C Shah; John D E Gabrieli; Susan Whitfield-Gabrieli; David A Turner; Glenn T Stebbins
Journal:  Dement Geriatr Cogn Disord       Date:  2008-07-28       Impact factor: 2.959

9.  Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database.

Authors:  Sean M Nestor; Raul Rupsingh; Michael Borrie; Matthew Smith; Vittorio Accomazzi; Jennie L Wells; Jennifer Fogarty; Robert Bartha
Journal:  Brain       Date:  2008-07-11       Impact factor: 13.501

Review 10.  Novel MRI techniques in the assessment of dementia.

Authors:  Stefan J Teipel; Thomas Meindl; Lea Grinberg; Helmut Heinsen; Harald Hampel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-03       Impact factor: 9.236

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