Contributions of enlarged perivascular spaces and white matter hyperintensities to cognitive performance in the Alzheimer’s disease continuum – shared and unique effects

Background Independent contributions of enlarged perivascular spaces (ePVS) to cognition remain elusive due to their intertwining with white matter hyperintensities (WMH). We studied the unique and shared effects of ePVS and WMH on cognitive performance in 397 subjects along the Alzheimer’s disease...

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Published in:Alzheimer's & dementia 2023-12, Vol.19 (S18), p.n/a
Main Authors: Menze, Inga, Bernal, Jose, Yakupov, Renat, Kaya, Pinar, Aki, Cagla, Pfister, Malte, Geisendörfer, Jonas, Peters, Oliver, Priller, Josef, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Bürger, Katharina, Perneczky, Robert, Teipel, Stefan, Laske, Christoph, Spottke, Annika, Heneka, Michael T., Wagner, Michael, Ramirez, Alfredo, Wolfsgruber, Steffen, Kleineidam, Luca, Jessen, Frank, Schreiber, Stefanie, Düzel, Emrah, Ziegler, Gabriel
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Language:English
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Summary:Background Independent contributions of enlarged perivascular spaces (ePVS) to cognition remain elusive due to their intertwining with white matter hyperintensities (WMH). We studied the unique and shared effects of ePVS and WMH on cognitive performance in 397 subjects along the Alzheimer’s disease (AD) continuum. Methods We quantified baseline volumes of WMH, basal ganglia (BG) and centrum semiovale (CSO) ePVS in participants of the multicentre DELCODE study (Controls = 81/Subjective Cognitive Decline = 151/Mild Cognitive Impairment = 79/AD = 45/AD relatives = 41) and regressed age, sex, pTau181, and image quality out of them. We established cognitive domain scores (memory, working memory, language, executive, visuospatial) based on a comprehensive cognitive test battery and confirmatory factor analysis, and assessed preclinical Alzheimer’s cognitive composite (PACC5) scores. Using principle component (PC) analysis, we estimated unique and shared variances. We began by extracting the first PC (PC1)—a weighted average of ePVS and WMH volumes—which indicated overall cerebrovascular dysfunction (Figure 1). We then regressed PC1 out of ePVS and WMH volumes to estimate their unique variances, which should reflect glymphatic function and white matter (WM) damage, respectively. For each cognitive domain, we compared null linear regression models (years of education, age, sex, pTau181, and image quality) to those enriched with the shared (PC1) and unique variances of BG‐/CSO‐ePVS and WMH. Results Overall cerebrovascular dysfunction—PC1—substantially affected all cognitive domains negatively. BG‐ePVS’ unique variance—surrogate for glymphatic function—contributed to better memory (B = 0.19, 95%‐CI[0.02;0.36]), language (B = 0.25, 95%‐CI[0.09;0.42]) and PACC5 performance (B = 0.25, 95%‐CI[0.07;0.43]) beyond overall cerebrovascular dysfunction. However, WM damage—WMH unique variance—contributed more substantially and negatively to the same cognitive domains (memory: R²PC1 = 0.365
ISSN:1552-5260
1552-5279
DOI:10.1002/alz.076757