Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering
Year: 2024
Type: article
Study design: Observational Study
Abstract: Frontal and/or parietal atrophy has been reported during aging. To disentangle the heterogeneity previously observed, this study aimed to uncover different clusters of grey matter profiles and trajectories within cognitively unimpaired individuals. Structural magnetic resonance imaging (MRI) data of 307 Aβ-negative cognitively unimpaired individuals were modelled between ages 60–85 from three cohorts worldwide. We applied unsupervised clustering using a novel longitudinal Bayesian approach and characterized the clusters' cerebrovascular and cognitive profiles. Four clusters were identified with different grey matter profiles and atrophy trajectories. Differences were mainly observed in frontal and parietal brain regions. These distinct frontoparietal grey matter profiles and longitudinal trajectories were differently associated with cerebrovascular burden and cognitive decline. Our findings suggest a conciliation of the frontal and parietal theories of aging, uncovering coexisting frontoparietal GM patterns. This could have important future implications for better stratification and identification of at-risk individuals. • We translate our novel longitudinal Bayesian clustering from AD to healthy aging. • We model both profiles (intercepts) and longitudinal trajectories (slopes) of GM. • The clusters differ in atrophy severity and distribution, mostly fronto-parietal. • The clusters are associated with different cerebrovascular and cognitive profiles. • This informs samples' stratification and early detection of at-risk individuals.
Authors: G. Lorenzon, K. Poulakis, R. Mohanty, M. Kivipelto, M. Eriksdotter, D. Ferreira, E. Westman
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $2,640
Funders: U.S. Department of Defense, Alzheimer's Disease Neuroimaging Initiative, Parkinson's Foundation, Hjärnfonden, Karolinska Institutet, Stiftelsen Olle Engkvist Byggmästare, Stockholms Läns Landsting, Vetenskapsrådet, Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse, Alzheimerfonden, National Institutes of Health, Parkinsonfonden, Center for Innovative Medicine, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering
Awards: G104586243, G15852582, G2380971845, G2731805636, G3399556840, G4122669224, EFFECTS OF TRAUMATIC BRAIN INJURY (TBI) AND POST TRAUMATIC STRESS DISORDER (PTSD) ON ALZHEIMER'S DISEASE (AD) IN VETERANS USING IMAGING AND BIOMARKERS IN THE AD NEUROIMAGING INITIATIVE (ADNI)", Alzheimer's Disease Neuroimaging Initiative, Brain networks and disease patterns in neurodegenerative disorders: A brain imaging study to provide a platform for successful clinical trials, G7059274161, G7623719257, Guiding dementia research towards precision medicine - a brain imaging study to unravel the heterogeneity in Alzheimer´s disease, G9000039018, G9000111933
OpenAlex ID: W4403068786