Mapping hippocampal and ventricular change in Alzheimer disease

• Published in: NeuroImage (Orlando, Fla.) Vol. 22; no. 4; pp. 1754 - 1766
• Main Authors: Thompson, Paul M, Hayashi, Kiralee M, de Zubicaray, Greig I, Janke, Andrew L, Rose, Stephen E, Semple, James, Hong, Michael S, Herman, David H, Gravano, David, Doddrell, David M, Toga, Arthur W
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.08.2004; Elsevier Limited
• Subjects: Aged; Alzheimer disease; Alzheimer Disease - diagnosis; Alzheimer Disease - pathology; Alzheimer's disease; Atrophy; Brain Mapping; Cerebral Ventricles - pathology; Cognitive ability; Computer Simulation; Dementia; Disease Progression; Female; Hippocampus - pathology; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Longitudinal imaging; Longitudinal Studies; Magnetic Resonance Imaging; Male; Mathematical Computing; Middle Aged; MRI; Older people; Studies; Atrophy; Longitudinal imaging; MRI; Alzheimer disease; Brain mapping; Dementia
• ISSN: 1053-8119; 1095-9572
• DOI: 10.1016/j.neuroimage.2004.03.040

We developed an anatomical mapping technique to detect hippocampal and ventricular changes in Alzheimer disease (AD). The resulting maps are sensitive to longitudinal changes in brain structure as the disease progresses. An anatomical surface modeling approach was combined with surface-based statistics to visualize the region and rate of atrophy in serial MRI scans and isolate where these changes link with cognitive decline. Fifty-two high-resolution MRI scans were acquired from 12 AD patients (age: 68.4 ± 1.9 years) and 14 matched controls (age: 71.4 ± 0.9 years), each scanned twice (2.1 ± 0.4 years apart). 3D parametric mesh models of the hippocampus and temporal horns were created in sequential scans and averaged across subjects to identify systematic patterns of atrophy. As an index of radial atrophy, 3D distance fields were generated relating each anatomical surface point to a medial curve threading down the medial axis of each structure. Hippocampal atrophic rates and ventricular expansion were assessed statistically using surface-based permutation testing and were faster in AD than in controls. Using color-coded maps and video sequences, these changes were visualized as they progressed anatomically over time. Additional maps localized regions where atrophic changes linked with cognitive decline. Temporal horn expansion maps were more sensitive to AD progression than maps of hippocampal atrophy, but both maps correlated with clinical deterioration. These quantitative, dynamic visualizations of hippocampal atrophy and ventricular expansion rates in aging and AD may provide a promising measure to track AD progression in drug trials.