TY - JOUR
T1 - Regional associations of white matter hyperintensities and early cortical amyloid pathology
AU - Lorenzini, Luigi
AU - Ansems, Loes T.
AU - Lopes Alves, Isadora
AU - Ingala, Silvia
AU - Vállez García, David
AU - Tomassen, Jori
AU - Sudre, Carole
AU - Salvadó, Gemma
AU - Shekari, Mahnaz
AU - Operto, Gregory
AU - Brugulat-Serrat, Anna
AU - Sánchez-Benavides, Gonzalo
AU - ten Kate, Mara
AU - Tijms, Betty
AU - Wink, Alle Meije
AU - Mutsaerts, Henk J. M. M.
AU - den Braber, Anouk
AU - Visser, Pieter Jelle
AU - van Berckel, Bart N. M.
AU - Gispert, Juan Domingo
AU - Barkhof, Frederik
AU - Collij, Lyduine E.
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of the Guarantors of Brain.
PY - 2022
Y1 - 2022
N2 - 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 both amyloid and WM lesions carry important information for the underlying pathogenic mechanisms, the regional relationship between these two pathologies and their joint contribution to early cognitive deterioration remains largely unexplored. We included 662 non-demented participants from three Amyloid Imaging to Prevent Alzheimer's disease (AMYPAD)-Affiliated cohorts: EPAD-LCS (N = 176), ALFA+ (N = 310), and EMIF-AD PreclinAD Twin60++ (N = 176). Using PET imaging, cortical amyloid burden was assessed regionally within early accumulating regions (medial orbitofrontal, precuneus, and cuneus) and globally, using the Centiloid method. Regional WMH volume was computed using Bayesian Model Selection. Global associations between WMH, amyloid, and cardiovascular risk scores (Framingham and CAIDE) were assessed using linear models. Partial least square (PLS) regression was used to identify regional associations. Models were adjusted for age, sex, and APOE-e4 status. Individual PLS scores were then related to cognitive performance in 4 domains (attention, memory, executive functioning, and language). While no significant global association was found, the PLS model yielded two components of interest. In the first PLS component, a fronto-parietal WMH pattern was associated with medial orbitofrontal-precuneal amyloid, vascular risk, and age. Component 2 showed a posterior WMH pattern associated with precuneus-cuneus amyloid, less related to age or vascular risk. Component 1 was associated with lower performance in all cognitive domains, while component 2 only with worse memory. In a large pre-dementia population, we observed two distinct patterns of regional associations between WMH and amyloid burden, and demonstrated their joint influence on cognitive processes. These two components could reflect the existence of vascular-dependent and-independent manifestations of WMH-Amyloid regional association that might be related to distinct primary pathophysiology.
AB - 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 both amyloid and WM lesions carry important information for the underlying pathogenic mechanisms, the regional relationship between these two pathologies and their joint contribution to early cognitive deterioration remains largely unexplored. We included 662 non-demented participants from three Amyloid Imaging to Prevent Alzheimer's disease (AMYPAD)-Affiliated cohorts: EPAD-LCS (N = 176), ALFA+ (N = 310), and EMIF-AD PreclinAD Twin60++ (N = 176). Using PET imaging, cortical amyloid burden was assessed regionally within early accumulating regions (medial orbitofrontal, precuneus, and cuneus) and globally, using the Centiloid method. Regional WMH volume was computed using Bayesian Model Selection. Global associations between WMH, amyloid, and cardiovascular risk scores (Framingham and CAIDE) were assessed using linear models. Partial least square (PLS) regression was used to identify regional associations. Models were adjusted for age, sex, and APOE-e4 status. Individual PLS scores were then related to cognitive performance in 4 domains (attention, memory, executive functioning, and language). While no significant global association was found, the PLS model yielded two components of interest. In the first PLS component, a fronto-parietal WMH pattern was associated with medial orbitofrontal-precuneal amyloid, vascular risk, and age. Component 2 showed a posterior WMH pattern associated with precuneus-cuneus amyloid, less related to age or vascular risk. Component 1 was associated with lower performance in all cognitive domains, while component 2 only with worse memory. In a large pre-dementia population, we observed two distinct patterns of regional associations between WMH and amyloid burden, and demonstrated their joint influence on cognitive processes. These two components could reflect the existence of vascular-dependent and-independent manifestations of WMH-Amyloid regional association that might be related to distinct primary pathophysiology.
KW - amyloid PET
KW - multivariate analysis
KW - pre-dementia population
KW - regional associations
KW - white matter hyperintensities
UR - http://www.scopus.com/inward/record.url?scp=85136132416&partnerID=8YFLogxK
U2 - 10.1093/braincomms/fcac150
DO - 10.1093/braincomms/fcac150
M3 - Article
C2 - 35783557
SN - 2632-1297
VL - 4
JO - Brain Communications
JF - Brain Communications
IS - 3
M1 - fcac150
ER -