High Consistency of Regional Cortical Thinning in Aging across Multiple Samples
Year: 2009
Type: article
Study design: Observational Study
Abstract: Cross-sectional magnetic resonance imaging (MRI) studies of cortical thickness and volume have shown age effects on large areas, but there are substantial discrepancies across studies regarding the localization and magnitude of effects. These discrepancies hinder understanding of effects of aging on brain morphometry, and limit the potential usefulness of MR in research on healthy and pathological age-related brain changes. The present study was undertaken to overcome this problem by assessing the consistency of age effects on cortical thickness across 6 different samples with a total of 883 participants. A surface-based segmentation procedure (FreeSurfer) was used to calculate cortical thickness continuously across the brain surface. The results showed consistent age effects across samples in the superior, middle, and inferior frontal gyri, superior and middle temporal gyri, precuneus, inferior and superior parietal cortices, fusiform and lingual gyri, and the temporo-parietal junction. The strongest effects were seen in the superior and inferior frontal gyri, as well as superior parts of the temporal lobe. The inferior temporal lobe and anterior cingulate cortices were relatively less affected by age. The results are discussed in relation to leading theories of cognitive aging.
Source: Cerebral Cortex
Institutions: Oslo University Hospital, University of Oslo, Wayne State University, Karolinska Institutet, Diakonhjemmet Hospital, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, University of California San Diego
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Neural Correlates and Modifiers of Cognitive Aging, Morphometry Biomedical Informatics Research Network, G349067127, High Resol. Imaging and Modeling of Human Visual Cortex, METHODS FOR DYNAMIC IMAGING OF HUMAN BRAIN FUNCTION, Inferring in Vivo Cytoarchitectural Borders in the Medial Temporal Lobe, National Alliance for Medical Image Computing (NAMIC), CORTICAL SURFACE BASED BRAIN IMAGING, Center for Functional Imaging Technologies, Neural Correlates and Modifiers of Cognitive Aging, Automated Analysis of Healthy and Diseased Brain Tissue, Tools for Analyzing Cortical Structure and Connectivity
OpenAlex ID: W2124648012