Regional associations of white matter hyperintensities and early cortical amyloid pathology

楔前 库尼乌斯 高强度 痴呆 心理学 人口 医学 病理 内科学 认知 神经科学 疾病 磁共振成像 放射科 环境卫生
作者
Luigi Lorenzini,Loes T Ansems,Isadora Lopes Alves,Silvia Ingala,David Vállez García,Jori Tomassen,Carole H. Sudre,Gemma Salvadó,Mahnaz Shekari,Grégory Operto,Anna Brugulat‐Serrat,Gonzalo Sánchez‐Benavides,Mara ten Kate,Betty M. Tijms,Alle Meije Wink,Henk Mutsaerts,Anouk den Braber,Pieter Jelle Visser,Bart N.M. van Berckel,Juan Domingo Gispert
出处
期刊:Brain communications [Oxford University Press]
卷期号:4 (3): fcac150-fcac150 被引量:29
标识
DOI:10.1093/braincomms/fcac150
摘要

Abstract 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.
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