Affiliations: [a]
Saint Louis University School of Medicine, St. Louis, MO, USA
| [b]
University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| [c]
Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| [d]
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA
| [e]
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
Correspondence:
[*]
Correspondence to: Cyrus A. Raji, MD, PhD, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63130, USA. E-mail: craji@wustl.edu.
Abstract: Background:Aging and Alzheimer’s disease (AD) are characterized by widespread cortical and subcortical atrophy. Though atrophy patterns between aging and AD overlap considerably, regional differences between these two conditions may exist. Few studies, however, have investigated these patterns in large community samples. Objective:Elaborate longitudinal changes in brain morphometry in relation to aging and cognitive status in a well-characterized community cohort. Methods:Clinical and neuroimaging data were compiled from 72 participants from the Cardiovascular Health Study-Cognition Study, a community cohort of healthy aging and probable AD participants. Two time points were identified for each participant with a mean follow-up time of 5.36 years. MRI post-processing, morphometric measurements, and statistical analyses were performed using FreeSurfer, Version 7.1.1. Results:Cortical volume was significantly decreased in the bilateral superior frontal, bilateral inferior parietal, and left superior parietal regions, among others. Cortical thickness was significantly reduced in the bilateral superior frontal and left inferior parietal regions, among others. Overall gray and white matter volumes and hippocampal subfields also demonstrated significant reductions. Cortical volume atrophy trajectories between cognitively stable and cognitively declined participants were significantly different in the right postcentral region. Conclusion:Observed volume reductions were consistent with previous studies investigating morphometric brain changes. Patterns of brain atrophy between AD and aging may be different in magnitude but exhibit widespread spatial overlap. These findings help characterize patterns of brain atrophy that may reflect the general population. Larger studies may more definitively establish population norms of aging and AD-related neuroimaging changes.
