Julie Ottoy , Joel Ramirez , Min Su Kang , Eric Yin , Miracle Ozzoude , Katherine Zukotynski , Walter Swardfager , Christopher Scott , Stephanie Berberian , Fuqiang Gao , Ginelle Feliciano , Lauren Abby Woods , Erin Gibson , Eric E. Smith , Nesrine Rahmouni , Joseph Therriault , Stijn Servaes , Robin Hsiung , Robert LaForce Jr. , Frank S. Prato , Maged Goubran
{"title":"正常外观白质中的游离水含量可预测痴呆症患者的血管病变进展","authors":"Julie Ottoy , Joel Ramirez , Min Su Kang , Eric Yin , Miracle Ozzoude , Katherine Zukotynski , Walter Swardfager , Christopher Scott , Stephanie Berberian , Fuqiang Gao , Ginelle Feliciano , Lauren Abby Woods , Erin Gibson , Eric E. Smith , Nesrine Rahmouni , Joseph Therriault , Stijn Servaes , Robin Hsiung , Robert LaForce Jr. , Frank S. Prato , Maged Goubran","doi":"10.1016/j.cccb.2024.100288","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Cerebral small vessel disease (SVD) is a common co-pathology in elderly and individuals with dementia. Neuroimaging markers of SVD include white matter hyperintensities (WMH) and MRI-visible perivascular spaces (PVS). However, the mechanisms underlying changes in these markers over time, whether ischemic or beta-amyloid (Aβ)-related, remain elusive. Here, we evaluated the effects of microstructural injury in the normal-appearing white matter and Aβ in the cerebral cortex on the progression of WMH and PVS over three years.</p></div><div><h3>Methods</h3><p>Data was obtained from two independent cohorts: (i) TRIAD, comprising cognitively normal, MCI, and AD dementia participants (baseline: N=199, follow-up year 1 and 2: N=102 and 62); and (ii) MITNEC-C6, comprising “real-world” patients with mixed dementia and moderate-to- severe WMH burden (baseline: N=52, 2 years follow-up: N=25). We quantified global WMH and PVS volumes from FLAIR and T1w MRI. At baseline, we examined associations between these volumes and diffusion MRI-derived free water. Longitudinally, we employed linear [mixed-effect] models to investigate the relation of WMH or PVS volume changes over time with baseline free water, using cortical Aβ-PET, age, sex, and APOE-ε4 as covariates.</p></div><div><h3>Results</h3><p>In TRIAD and MITNEC-C6 respectively, mean ages were 72±6 and 77±8 y, 60% and 42% were female, and 41% and 48% were Aβ-positive. At baseline, higher free water in normal- appearing white matter was associated with higher WMH volume (β_TRIAD=+0.34±0.06, P_TRIAD<0.001 and β_MITNEC=+0.31±0.14, P_MITNEC=0.03) as well as total PVS volume (β_TRIAD=+0.53±0.06, P_TRIAD<0.001 and β_MITNEC=+0.30±0.13, P_MITNEC=0.03).Longitudinally, faster WMH progression was predicted by higher baseline free water in normal- appearing white matter (P_TRIAD<0.001 and P_MITNEC=0.01) in Aβ-positive but not negative individuals (Figure 1). Conversely, higher free water in normal-appearing white matter was moderately related to slower PVS progression (P_TRIAD=0.03 and P_MITNEC=0.004).</p></div><div><h3>Discussion</h3><p>Our findings support a key role for free water and Aβ in predicting the progression of volumetric MRI-based markers of SVD. Future investigations will explore the spatial relationships involved. Additionally, further validation of our longitudinal segmentation tools for PVS is necessary to support a potential link between free water and PVS temporal dynamics.</p></div>","PeriodicalId":72549,"journal":{"name":"Cerebral circulation - cognition and behavior","volume":"6 ","pages":"Article 100288"},"PeriodicalIF":1.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666245024000898/pdfft?md5=d521fef1ea8c291b6f4ab79266a45f52&pid=1-s2.0-S2666245024000898-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Free water levels in normal-appearing white matter predict vascular lesion progression in individuals with dementia\",\"authors\":\"Julie Ottoy , Joel Ramirez , Min Su Kang , Eric Yin , Miracle Ozzoude , Katherine Zukotynski , Walter Swardfager , Christopher Scott , Stephanie Berberian , Fuqiang Gao , Ginelle Feliciano , Lauren Abby Woods , Erin Gibson , Eric E. Smith , Nesrine Rahmouni , Joseph Therriault , Stijn Servaes , Robin Hsiung , Robert LaForce Jr. , Frank S. Prato , Maged Goubran\",\"doi\":\"10.1016/j.cccb.2024.100288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Cerebral small vessel disease (SVD) is a common co-pathology in elderly and individuals with dementia. Neuroimaging markers of SVD include white matter hyperintensities (WMH) and MRI-visible perivascular spaces (PVS). However, the mechanisms underlying changes in these markers over time, whether ischemic or beta-amyloid (Aβ)-related, remain elusive. Here, we evaluated the effects of microstructural injury in the normal-appearing white matter and Aβ in the cerebral cortex on the progression of WMH and PVS over three years.</p></div><div><h3>Methods</h3><p>Data was obtained from two independent cohorts: (i) TRIAD, comprising cognitively normal, MCI, and AD dementia participants (baseline: N=199, follow-up year 1 and 2: N=102 and 62); and (ii) MITNEC-C6, comprising “real-world” patients with mixed dementia and moderate-to- severe WMH burden (baseline: N=52, 2 years follow-up: N=25). We quantified global WMH and PVS volumes from FLAIR and T1w MRI. At baseline, we examined associations between these volumes and diffusion MRI-derived free water. Longitudinally, we employed linear [mixed-effect] models to investigate the relation of WMH or PVS volume changes over time with baseline free water, using cortical Aβ-PET, age, sex, and APOE-ε4 as covariates.</p></div><div><h3>Results</h3><p>In TRIAD and MITNEC-C6 respectively, mean ages were 72±6 and 77±8 y, 60% and 42% were female, and 41% and 48% were Aβ-positive. At baseline, higher free water in normal- appearing white matter was associated with higher WMH volume (β_TRIAD=+0.34±0.06, P_TRIAD<0.001 and β_MITNEC=+0.31±0.14, P_MITNEC=0.03) as well as total PVS volume (β_TRIAD=+0.53±0.06, P_TRIAD<0.001 and β_MITNEC=+0.30±0.13, P_MITNEC=0.03).Longitudinally, faster WMH progression was predicted by higher baseline free water in normal- appearing white matter (P_TRIAD<0.001 and P_MITNEC=0.01) in Aβ-positive but not negative individuals (Figure 1). Conversely, higher free water in normal-appearing white matter was moderately related to slower PVS progression (P_TRIAD=0.03 and P_MITNEC=0.004).</p></div><div><h3>Discussion</h3><p>Our findings support a key role for free water and Aβ in predicting the progression of volumetric MRI-based markers of SVD. Future investigations will explore the spatial relationships involved. Additionally, further validation of our longitudinal segmentation tools for PVS is necessary to support a potential link between free water and PVS temporal dynamics.</p></div>\",\"PeriodicalId\":72549,\"journal\":{\"name\":\"Cerebral circulation - cognition and behavior\",\"volume\":\"6 \",\"pages\":\"Article 100288\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666245024000898/pdfft?md5=d521fef1ea8c291b6f4ab79266a45f52&pid=1-s2.0-S2666245024000898-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cerebral circulation - cognition and behavior\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666245024000898\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral circulation - cognition and behavior","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666245024000898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Free water levels in normal-appearing white matter predict vascular lesion progression in individuals with dementia
Introduction
Cerebral small vessel disease (SVD) is a common co-pathology in elderly and individuals with dementia. Neuroimaging markers of SVD include white matter hyperintensities (WMH) and MRI-visible perivascular spaces (PVS). However, the mechanisms underlying changes in these markers over time, whether ischemic or beta-amyloid (Aβ)-related, remain elusive. Here, we evaluated the effects of microstructural injury in the normal-appearing white matter and Aβ in the cerebral cortex on the progression of WMH and PVS over three years.
Methods
Data was obtained from two independent cohorts: (i) TRIAD, comprising cognitively normal, MCI, and AD dementia participants (baseline: N=199, follow-up year 1 and 2: N=102 and 62); and (ii) MITNEC-C6, comprising “real-world” patients with mixed dementia and moderate-to- severe WMH burden (baseline: N=52, 2 years follow-up: N=25). We quantified global WMH and PVS volumes from FLAIR and T1w MRI. At baseline, we examined associations between these volumes and diffusion MRI-derived free water. Longitudinally, we employed linear [mixed-effect] models to investigate the relation of WMH or PVS volume changes over time with baseline free water, using cortical Aβ-PET, age, sex, and APOE-ε4 as covariates.
Results
In TRIAD and MITNEC-C6 respectively, mean ages were 72±6 and 77±8 y, 60% and 42% were female, and 41% and 48% were Aβ-positive. At baseline, higher free water in normal- appearing white matter was associated with higher WMH volume (β_TRIAD=+0.34±0.06, P_TRIAD<0.001 and β_MITNEC=+0.31±0.14, P_MITNEC=0.03) as well as total PVS volume (β_TRIAD=+0.53±0.06, P_TRIAD<0.001 and β_MITNEC=+0.30±0.13, P_MITNEC=0.03).Longitudinally, faster WMH progression was predicted by higher baseline free water in normal- appearing white matter (P_TRIAD<0.001 and P_MITNEC=0.01) in Aβ-positive but not negative individuals (Figure 1). Conversely, higher free water in normal-appearing white matter was moderately related to slower PVS progression (P_TRIAD=0.03 and P_MITNEC=0.004).
Discussion
Our findings support a key role for free water and Aβ in predicting the progression of volumetric MRI-based markers of SVD. Future investigations will explore the spatial relationships involved. Additionally, further validation of our longitudinal segmentation tools for PVS is necessary to support a potential link between free water and PVS temporal dynamics.