Cortical thickness subtypes in cognitively unimpaired individuals: Differential network and transcriptomic vulnerability to cortical thinning

Lorenzini, Luigi;Tranfa, Mario;Pieperhoff, Leonard;Masserini, Federico;Barkhof, Frederik;et.al.
(2025) Alzheimer’s & Dementia — Vol. 21, n° 10, p. e70762 [1-16] (2025)

Files

Cortical thickness subtypes in cognitively unimpaired individuals - Differential network and transcriptomic vulnerability to cortical thinning.pdf
  • Open Access
  • Adobe PDF
  • 5.18 MB

Details

Authors
  • Lorenzini, Luigiorcid-logoDepartment of Radiology and Nuclear Medicine Amsterdam University Medical Centre, Vrije Universiteit Amsterdam The Netherlands
    Author
  • Tranfa, MarioDepartment of Radiology and Nuclear Medicine Amsterdam University Medical Centre, Vrije Universiteit Amsterdam The Netherlands
    Author
  • Pieperhoff, LeonardDepartment of Radiology and Nuclear Medicine Amsterdam University Medical Centre, Vrije Universiteit Amsterdam The Netherlands
    Author
  • Masserini, FedericoDepartment of Radiology and Nuclear Medicine Amsterdam University Medical Centre, Vrije Universiteit Amsterdam The Netherlands
    Author
  • Author
  • Barkhof, Frederik
    Author
  • et. al.
Show more
Abstract
INTRODUCTION: The emergence, stability, and contributing factors of Alzheimer's disease (AD) gray matter subtypes remain unclear. METHODS: We analyzed data from 1323 individuals without a diagnosis of dementia (CDR < 1) with T1w-MRI and amyloid-PET, including 622 with longitudinal data (3.66 ± 1.78 years). Cortical thickness subtypes were identified using a non-negative matrix factorization (NMF) clustering algorithm. We examined clinical and demographic differences, subtype stability, and longitudinal thinning patterns using brain network models and imaging-transcriptomic analysis. Replication was performed with an alternative clustering approach and a validation cohort. RESULTS: Two stable subtypes emerged: limbic-predominant and hippocampal-sparing. Limbic-predominant participants were older, had higher amyloid burden, and faster memory decline, while hippocampal-sparing individuals showed greater attention and executive function decline. Distinct thinning patterns were linked to specific network properties and gene expression profiles. DISCUSSION: These MRI-based subtypes reflect underlying pathophysiological mechanisms and may aid in prognostication and clinical trial stratification. HIGHLIGHTS: Two gray matter thickness subtypes can already be identified in preclinical stages, exhibiting distinct clinical characteristics and progression patterns. Individual subtype assignment remains stable over time. Longitudinal cortical thinning patterns follow distinct network- and transcriptomic-based mechanisms within each subtype.
Affiliations

Citations

Lorenzini, L., Tranfa, M., Pieperhoff, L., Masserini, F., Ten Kate, M., Collij, L., Pontillo, G., Luckett, E., Wink, A., Mutsaerts, H., Oliveira, T., Altomare, D., Boada, M., Den Braber, A., Birck, C., Buckley, C., Farrar, G., Van Der Flier, W., Frisoni, G., et al. (2025). Cortical thickness subtypes in cognitively unimpaired individuals: Differential network and transcriptomic vulnerability to cortical thinning. Alzheimer’s & Dementia, 21(10), e70762 [1-16]. https://doi.org/10.1002/alz.70762 (Original work published 2025)