Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

In our contribution to this special issue focusing on advances in Alzheimer's disease (AD) research since the centennial, we will briefly review some of our own studies applying magnetic resonance imaging (MRI) measures of function and connectivity for characterization of genetic contributions to the neuropathology of AD and as candidate biomarkers. We review how functional MRI during both memory encoding and at rest is able to define APOE4 genotype-dependent physiological changes decades before potential development of AD and demonstrate changes distinct from those with healthy aging. More generally, imaging provides a powerful quantitative measure of phenotype for understanding associations arising from whole genome studies in AD. Structural connectivity measures derived from diffusion tensor MRI (DTI) methods offer additional markers of neuropathology arising from the secondary changes in axonal caliber and myelination that accompany decreased neuronal activity and neurodegeneration. We illustrate applications of DTI for more finely mapping neurodegenerative changes with AD in the thalamus in vivo and for defining neuropathological changes in the white matter itself. The latter efforts have highlighted how sensitivity to the neuropathology can be enhanced by using more specific DTI measures and interpreting them relative to knowledge of local white matter anatomy in the healthy brain. Together, our studies and related work are helping to establish the exciting potential of a new range of MRI methods as neuropathological measures and as biomarkers of disease progression. © 2013 - IOS Press and the authors. All rights reserved.

Original publication

DOI

10.3233/JAD-2012-129012

Type

Journal article

Journal

Journal of Alzheimer's Disease

Publication Date

01/01/2013

Volume

33