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Magnetic Resonance Imaging to Detect Early Molecular and Cellular Changes in Alzheimer's Disease

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Specialty Geriatrics
Date 2016 Jul 6
PMID 27378911
Citations 15
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Abstract

Recent pharmaceutical trials have demonstrated that slowing or reversing pathology in Alzheimer's disease is likely to be possible only in the earliest stages of disease, perhaps even before significant symptoms develop. Pathology in Alzheimer's disease accumulates for well over a decade before symptoms are detected giving a large potential window of opportunity for intervention. It is therefore important that imaging techniques detect subtle changes in brain tissue before significant macroscopic brain atrophy. Current diagnostic techniques often do not permit early diagnosis or are too expensive for routine clinical use. Magnetic Resonance Imaging (MRI) is the most versatile, affordable, and powerful imaging modality currently available, being able to deliver detailed analyses of anatomy, tissue volumes, and tissue state. In this mini-review, we consider how MRI might detect patients at risk of future dementia in the early stages of pathological change when symptoms are mild. We consider the contributions made by the various modalities of MRI (structural, diffusion, perfusion, relaxometry) in identifying not just atrophy (a late-stage AD symptom) but more subtle changes reflective of early dementia pathology. The sensitivity of MRI not just to gross anatomy but to the underlying "health" at the cellular (and even molecular) scales, makes it very well suited to this task.

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References
1.
Salat D, Kaye J, Janowsky J . Prefrontal gray and white matter volumes in healthy aging and Alzheimer disease. Arch Neurol. 1999; 56(3):338-44. DOI: 10.1001/archneur.56.3.338. View

2.
de la Torre J . Critically attained threshold of cerebral hypoperfusion: can it cause Alzheimer's disease?. Ann N Y Acad Sci. 2000; 903:424-36. DOI: 10.1111/j.1749-6632.2000.tb06394.x. View

3.
Chan D, Fox N, Scahill R, Crum W, Whitwell J, Leschziner G . Patterns of temporal lobe atrophy in semantic dementia and Alzheimer's disease. Ann Neurol. 2001; 49(4):433-42. View

4.
Good C, Johnsrude I, Ashburner J, Henson R, Friston K, Frackowiak R . A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001; 14(1 Pt 1):21-36. DOI: 10.1006/nimg.2001.0786. View

5.
Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N . Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002; 15(1):273-89. DOI: 10.1006/nimg.2001.0978. View