Perivascular spaces relate to the course and cognition of Huntington’s disease

Li, Xiaoyan; Xie, Juan‐Juan; Wang, Jinhong; Bao, Yu-Feng; Dong, Yi; Gao, Bin; Shen, Ting; Huang, Peiyu; Ying, Haochao; Han, Xu; Roe, Anna Wang; Lai, Hsin Yi; Wu, Zhi‐Ying

doi:10.1186/s40035-023-00359-9

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Jokinen et al (2020) reported PVS volume to be a significant predictor of processing speed, decline in processing speed, decline in memory, and of total vascular dementia assessment (VADAS-cog) score. PVS burden was related to poor cognition in CADASIL (Karvelas et al, 2023), and in Huntington’s disease (Valdés Hernández et al, 2019; Li et al, 2023). Kamagata et al, (2022) reported higher PVS volume fraction (total, in basal ganglia, and white matter) in Alzheimer’s disease (AD) patients compared to controls, and higher white matter PVS volume fraction in the mild cognitive impaired (MCI) group compared to controls.…”

Section: Resultsmentioning

confidence: 99%

“…From the rest, three studies reported no association between PVS burden and measures of cognition (Ramirez et al, 2022; Valdés Hernández et al, 2020; Soitgu et al, 2023), and nine indicated a positive association between poor cognition, at least in one domain, and PVS burden. But those indicating a positive association studied specific clinical populations for which cognitive impairment was one of their phenotypes: Huntington’s disease (Valdés Hernández et al, 2019; Li et al, 2023), CADASIL (Karvelas et al, 2023), TBI (Hicks et al, 2023), MCI (Seperhband et al, 2021; Bown et al, 2023; Kamagata et al, 2023), frontotemporal dementia (Moses et al, 2022), and AD (Kamagata et al, 2023). One study involving elderly patients aged 65-84 enrolled in the LADIS study (Pantoni et al, 2005), also reported a positive association between PVS burden and cognition.…”

Section: Discussionmentioning

confidence: 99%

“…Huntington's disease (Valdés Hernández et al, 2019;Li et al, 2023), CADASIL (Karvelas et al, 2023), TBI (Hicks et al, 2023), MCI (Seperhband et al, 2021;Bown et al, 2023;Kamagata et al, 2023), frontotemporal dementia (Moses et al, 2022), and AD (Kamagata et al, 2023). One study involving elderly patients aged 65-84 enrolled in the LADIS study (Pantoni et al, 2005), also reported a positive association between PVS burden and cognition.…”

Section: Application Studiesmentioning

confidence: 99%

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A Systematic Review and Meta-Analysis of Automated Methods for Quantifying Enlarged Perivascular Spaces in the Brain

Waymont,

Valdés Hernández,

Bernal

et al. 2024

Preprint

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Research into magnetic resonance imaging (MRI)- visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease phenotypes, and overall health indicators. With the establishment of worldwide consortia and the availability of large databases, computational methods that allow to automatically process all this wealth of information are becoming increasingly relevant. Several computational approaches have been proposed to assess PVS from MRI, and efforts have been made to summarise and appraise the most widely applied ones. We systematically reviewed and meta-analysed all publications available up to September 2023 describing the development, improvement, or application of computational PVS quantification methods from MRI. We analysed 67 approaches and 60 applications of their implementation, from 112 publications. The two most widely applied were the use of a morphological filter to enhance PVS-like structures, with Frangi being the choice preferred by most, and the use of a U-Net configuration with or without residual connections. Older adults or population studies comprising adults from 18 years old onwards were, overall, more frequent than studies using clinical samples. PVS were mainly assessed from T2-weighted MRI acquired in 1.5T and/or 3T scanners, although combinations using it with T1-weighted and FLAIR images were also abundant. Common associations researched included age, sex, hypertension, diabetes, white matter hyperintensities, sleep and cognition, with occupation-related, ethnicity, and genetic/hereditable traits being also explored. Despite promising improvements to overcome barriers such as noise and differentiation from other confounds, a need for joined efforts for a wider testing and increasing availability of the most promising methods is now paramount.

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