Paul M. Thompson, Michael S. Mega, Rebecca E. Blanton, Jacob Moussai, Aelia A. Khan, Shahin Zohoori, Joshua Mogy, Jonathan Aron, Amir Goldkorn, Colin J. Holmes, Gary W. Small, Jeffrey Cummings, David MacDonald, Alan C. Evans, Robert C. Collins, Arthur W. Toga
Laboratory of Neuro Imaging, Department of Neurology, Division of Brain Mapping, UCLA School of Medicine, Los Angeles, California 90095, and
Alzheimer's Disease Center, UCLA School of Medicine, Los Angeles CA 90095, and
Montreal Neurological Institute, McGill University, Montreal, Canada
High-resolution probabilistic atlases of the brain in normal aging and Alzheimer's Disease (AD) were constructed from a reference archive of T1-weighted 256x256x170 resolution 3D MRI scans of 10 AD patients (age:71.9+/-10.9 yrs.) and 10 age-matched controls (72.9+/-5.6 yrs.), which were digitally transformed into Talairach stereotaxic space. Connected systems of parametric meshes were used to model internal trajectories of 33 different structures including parieto-occipital, calcarine, cingulate, marginal, callosal sulci, Sylvian fissures, 14 ventricular regions, superior and inferior hippocampal surfaces and other major lobar and cytoarchitectural boundaries in 3 dimensions. High-dimensional volumetric maps, with 0.1 billion degrees of freedom, were computed, fluidly reconfiguring the anatomy of different subjects into structural correspondence. Resulting information on complex variations in gyral and subcortical topography were encoded as a non-stationary Gaussian random vector field and used to detect, highlight and quantify regional patterns of deformity in the anatomy of new subjects. Both subject groups displayed striking asymmetries in ventricular and perisylvian anatomy, with selective callosal, hippocampal and cortical atrophy in AD. These probabilistic atlasing techniques generate anatomical templates and expert diagnostic systems which retain and exploit information on inter-subject and inter-group variations in brain architecture.
(PT:) Howard Hughes Medical Institute, United States Information Agency & US-UK Fulbright Commission; (AWT:) NIMH/NIDA (P20MH/DA52176), NSF (BIR9322434), NLM (LM/MH05639) and NCRR (RR05956).
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