Scholarlink

Background <p>Cardiac disease is linked to early cognitive decline and dementia, with shared risk factors such as hypertension, inactivity, and <i>APOE4</i> genotype. White matter hyperintensities (WMH) may mediate this association.</p> Methods <p>We investigated associations between 29 cardiac MRI (CMR) measures and 5 regional WMH volumes independently of known CVD risk factors. We analysed 30,961 UK biobank participants without pre-existing cardiovascular disease (CVD) or known dementia. We empirically validated the CMR traits by associating these to incidence CVD using Cox’s regression models. Linear regression models were used to identify association between 6 regional WMH volumes and cognitive tests outcomes (executive function and processing speed), as well as with 29 CMR traits.</p> Results <p>Twenty-one CMR traits associate with heart failure and atrial fibrillation, 10 with coronary heart disease, and 4 with abdominal aortic aneurysm. Frontal and parietal WMH volumes associate with executive function and processing speed. We identify distinct groups of CMR associations where right heart traits (excluding RVEF) primarily associate with parietal WMH volumes, contrasting with the more widespread associations of left cardiac and aortic traits. Higher values of aortic areas, LV mass and wall thickness associate with higher WMH volumes for all brain regions. Furthermore, increased WMH volumes associate with increased minimum and maximum ascending aortic areas. We additionally observe associations between increased biventricular ESV and increased WMH volumes, with increased EF associating with lower WMH volumes.</p> Conclusions <p>We show that CMR derived measurements of function and structure associate with regional WMH volumes implicated in executive functioning and processing speed, independently of known cerebrovascular risk factors in people without established disease.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Cross-organ MRI to assess the relationship between cardiac traits and cerebral white matter hyperintensity volumes

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月23日

查看全文
  • Adama Fatima Saccoh,
  • Nikhil Paliwal,
  • Sam Quill,
  • Albert Henry,
  • Marion van Vugt,
  • Carole H. Sudre,
  • A. Floriaan Schmidt

摘要

Background

Cardiac disease is linked to early cognitive decline and dementia, with shared risk factors such as hypertension, inactivity, and APOE4 genotype. White matter hyperintensities (WMH) may mediate this association.

Methods

We investigated associations between 29 cardiac MRI (CMR) measures and 5 regional WMH volumes independently of known CVD risk factors. We analysed 30,961 UK biobank participants without pre-existing cardiovascular disease (CVD) or known dementia. We empirically validated the CMR traits by associating these to incidence CVD using Cox’s regression models. Linear regression models were used to identify association between 6 regional WMH volumes and cognitive tests outcomes (executive function and processing speed), as well as with 29 CMR traits.

Results

Twenty-one CMR traits associate with heart failure and atrial fibrillation, 10 with coronary heart disease, and 4 with abdominal aortic aneurysm. Frontal and parietal WMH volumes associate with executive function and processing speed. We identify distinct groups of CMR associations where right heart traits (excluding RVEF) primarily associate with parietal WMH volumes, contrasting with the more widespread associations of left cardiac and aortic traits. Higher values of aortic areas, LV mass and wall thickness associate with higher WMH volumes for all brain regions. Furthermore, increased WMH volumes associate with increased minimum and maximum ascending aortic areas. We additionally observe associations between increased biventricular ESV and increased WMH volumes, with increased EF associating with lower WMH volumes.

Conclusions

We show that CMR derived measurements of function and structure associate with regional WMH volumes implicated in executive functioning and processing speed, independently of known cerebrovascular risk factors in people without established disease.