Literature DB >> 17088693

Magnetic resonance approaches to brain aging and Alzheimer disease-associated neuropathology.

Valerie C Anderson1, Zachary N Litvack, Jeffrey A Kaye.   

Abstract

The noninvasive, nonradioactive, quantitative nature of magnetic resonance techniques has propelled them to the forefront of neuroscience and neuropsychiatric research. In particular, recent advances have confirmed their enormous potential in patients with Alzheimer disease (AD). Structural and functional magnetic resonance (MR) imaging have demonstrated significant correlation with clinical outcomes and underlying pathology and are used increasingly in the AD clinic. This review will highlight the role of high-resolution structural MR imaging and functional magnetic resonance imaging in the identification of atrophic and hemodynamic changes in AD and their potential as diagnostic biomarkers and surrogates of therapeutic response. Advanced MR techniques based on diffusion, perfusion, and neurochemical abnormalities in the aging brain will be presented briefly. These newer techniques continue to expand our understanding of neuropathology in the aging brain and are likely to play an important clinical role in the future.

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Mesh:

Year:  2005        PMID: 17088693     DOI: 10.1097/01.rmr.0000245458.05654.d0

Source DB:  PubMed          Journal:  Top Magn Reson Imaging        ISSN: 0899-3459


  13 in total

1.  Failing compensatory mechanisms during working memory in older apolipoprotein E-epsilon4 healthy adults.

Authors:  Francesca M Filbey; Gang Chen; Trey Sunderland; Robert M Cohen
Journal:  Brain Imaging Behav       Date:  2010-06       Impact factor: 3.978

2.  Age-dependent normal values of T2* and T2' in brain parenchyma.

Authors:  S Siemonsen; J Finsterbusch; J Matschke; A Lorenzen; X-Q Ding; J Fiehler
Journal:  AJNR Am J Neuroradiol       Date:  2008-02-13       Impact factor: 3.825

3.  MRI measures of temporoparietal regions show differential rates of atrophy during prodromal AD.

Authors:  R S Desikan; B Fischl; H J Cabral; T L Kemper; C R G Guttmann; D Blacker; B T Hyman; M S Albert; R J Killiany
Journal:  Neurology       Date:  2008-07-30       Impact factor: 9.910

4.  Early Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment: Imaging, Biomarkers, and Technology.

Authors:  Teresa Buracchio; Jeffrey Kaye
Journal:  Generations       Date:  2009

Review 5.  Atrophy: When too much atrophy is too little brain.

Authors:  Charles A J Romanowski; Iain D Wilkinson
Journal:  Neuroradiology       Date:  2011-09       Impact factor: 2.804

6.  Age-related changes in grey and white matter structure throughout adulthood.

Authors:  Antonio Giorgio; Luca Santelli; Valentina Tomassini; Rose Bosnell; Steve Smith; Nicola De Stefano; Heidi Johansen-Berg
Journal:  Neuroimage       Date:  2010-03-06       Impact factor: 6.556

Review 7.  Review of MR elastography applications and recent developments.

Authors:  Kevin J Glaser; Armando Manduca; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2012-10       Impact factor: 4.813

8.  Temporoparietal MR imaging measures of atrophy in subjects with mild cognitive impairment that predict subsequent diagnosis of Alzheimer disease.

Authors:  R S Desikan; H J Cabral; B Fischl; C R G Guttmann; D Blacker; B T Hyman; M S Albert; R J Killiany
Journal:  AJNR Am J Neuroradiol       Date:  2008-12-26       Impact factor: 3.825

9.  Automatic analysis of medial temporal lobe atrophy from structural MRIs for the early assessment of Alzheimer disease.

Authors:  Piero Calvini; Andrea Chincarini; Gianluca Gemme; Maria Antonietta Penco; Sandro Squarcia; Flavio Nobili; Guido Rodriguez; Roberto Bellotti; Ezio Catanzariti; Piergiorgio Cerello; Ivan De Mitri; Maria Evelina Fantacci
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

10.  White matter damage in frontotemporal dementia and Alzheimer's disease measured by diffusion MRI.

Authors:  Yu Zhang; Norbert Schuff; An-Tao Du; Howard J Rosen; Joel H Kramer; Maria Luisa Gorno-Tempini; Bruce L Miller; Michael W Weiner
Journal:  Brain       Date:  2009-05-12       Impact factor: 13.501

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