Introduction Inter-individual variability in adult brain aging can obscure early pathological alterations and is only partly represented by population-average or scalar brain-aging measures. We combined Receptor-Enriched Analysis of functional Connectivity by Targets (REACT) with normative modeling (NM) to derive spati...
Marco Pinamonti, M. Moretto, L. Pieperhoff et al.· bioRxiv· 0 citations
The CSF biomarker-integrated reclassification significantly improved the distinction between subgroups regarding CAA- and arteriosclerosis-related MRI features and support a future transition toward an integrated biological-radiological framework, which may refine in vivo CAA diagnosis, particularly in mixed SVD.
M. Losa, M. C. Ramusino, I. Gandoglia et al.· medRxiv· 0 citations
Quantitative T1 mapping (qT1) is a magnetic resonance imaging (MRI) biomarker of brain microstructural changes; however, its application in Alzheimer disease (AD) remains limited. We compared cortico-limbic qT1 values between patients with AD and healthy controls (HCs) and examined their relationship with amyloid burde...
L. Gualco, N. Montobbio, M. Losa et al.· European Radiology Experimen...· 0 citations
The Amyloid Imaging to Prevent Alzheimer’s Disease Prognostic and Natural History Study (AMYPAD-PNHS) multimodal magnetic resonance imaging (MRI) dataset provides open-access longitudinal MRI data of 2759 cognitively normal or mild cognitive impairment individuals to enhance generalizability and comparability between f...
L. Pieperhoff, M. Tranfa, Prithvi Arunachalam et al.· Scientific Data· 0 citations
Evidence is provided that multiregion T1‐MRI patterns can inform on tau‐PET burden in AD and may support approximate tau staging when tau‐PET is unavailable, especially in subjects with more advanced tau burden.
Martina Pulze, S. Garbarino, L. Lorenzini et al.· Alzheimer's & Dementia· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
