Regional associations of white matter hyperintensities and early cortical amyloid pathology

• DOI: 10.1093/braincomms/fcac150
• Publication Date: 2022-06-15T14:40:42Z
• Authors: Luigi Lorenzini; Loes T Ansems; Isadora Lopes Alves; Silvia Ingala; David Vállez García; Jori Tomassen; Carole Sudre; Gemma Salvadó; Mahnaz Shekari; Gregory Operto; Anna Brugulat-Serrat; Gonzalo Sánchez-B...; Mara ten Kate; Betty Tijms; Alle Meije Wink; Henk J M M Mutsaerts; Anouk den Braber; Pieter Jelle Visser; Bart N M van Berckel; Juan Domingo Gispert; Frederik Barkhof; Lyduine E Collij; ; Annabella Beteta; Anna Brugulat; Raffaele Cacciaglia; Alba Cañas; Carme Deulofeu; Irene Cumplido; Ruth Dominguez; Maria Emilio; Karine Fauria; Sherezade Fuentes; Laura Hernandez; Gema Huesa; Jordi Huguet; Paula Marne; Tania Menchón; Albina Polo; Sandra Pradas; Blanca Rodriguez-...; Aleix Sala-Vila; Gonzalo Sánchez-B...; Anna Soteras; Marc Vilanova
• Keywords: Cuneus

White matter hyperintensities (WMHs) have a heterogeneous aetiology, associated with both vascular risk factors and amyloidosis due to Alzheimer's disease. While spatial distribution of amyloid WM lesions carry important information for the underlying pathogenic mechanisms, regional relationship between these two pathologies their joint contribution early cognitive deterioration remains largely unexplored. We included 662 non-demented participants from three Amyloid Imaging Prevent disease (AMYPAD)-affiliated cohorts: EPAD-LCS (N = 176), ALFA+ 310), EMIF-AD PreclinAD Twin60++ 176). Using PET imaging, cortical burden was assessed regionally within accumulating regions (medial orbitofrontal, precuneus, cuneus) globally, using Centiloid method. Regional WMH volume computed Bayesian Model Selection. Global associations WMH, amyloid, cardiovascular scores (Framingham CAIDE) were linear models. Partial least square (PLS) regression used identify associations. Models adjusted age, sex,