4D deformation modeling of cortical disease progression in Alzheimer's dementia


Autoria(s): Janke, Andrew L.; de Zubicaray, Greig; Rose, Stephen E.; Griffin, Mark; Chalk, Jonathan B.; Galloway, Graham J.
Data(s)

01/10/2001

Resumo

This work describes the development of a model of cerebral atrophic changes associated with the progression of Alzheimer's disease (AD). Linear registration, region-of-interest analysis, and voxel-based morphometry methods have all been employed to elucidate the changes observed at discrete intervals during a disease process. In addition to describing the nature of the changes, modeling disease-related changes via deformations can also provide information on temporal characteristics. In order to continuously model changes associated with AD, deformation maps from 21 patients were averaged across a novel z-score disease progression dimension based on Mini Mental State Examination (MMSE) scores. The resulting deformation maps are presented via three metrics: local volume loss (atrophy), volume (CSF) increase, and translation (interpreted as representing collapse of cortical structures). Inspection of the maps revealed significant perturbations in the deformation fields corresponding to the entorhinal cortex (EC) and hippocampus, orbitofrontal and parietal cortex, and regions surrounding the sulci and ventricular spaces, with earlier changes predominantly lateralized to the left hemisphere. These changes are consistent with results from post-mortem studies of AD.

Identificador

http://eprints.qut.edu.au/85789/

Publicador

John Wiley & Sons, Inc.

Relação

DOI:10.1002/mrm.1243

Janke, Andrew L., de Zubicaray, Greig, Rose, Stephen E., Griffin, Mark, Chalk, Jonathan B., & Galloway, Graham J. (2001) 4D deformation modeling of cortical disease progression in Alzheimer's dementia. Magnetic Resonance in Medicine, 46(4), pp. 661-666.

Direitos

Copyright 2001 Wiley-Liss, Inc.

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation

Palavras-Chave #Alzheimer's disease #Average models #MRI #Non-linear registration #Talairach space
Tipo

Journal Article