4.5 Article

White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance

期刊

NEUROIMAGE-CLINICAL
卷 30, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.nicl.2021.102616

关键词

Aging; Cerebral small vessel diseases; Cognition; Magnetic resonance imaging; White matter

资金

  1. UK Medical Research Council (MRC) grant Dementias Platform UK [MR/L023784/2]
  2. UK Medical Research Council (MRC) grant Predicting MRI abnormalities with longitudinal data of the Whitehall II Substudy [G1001354]
  3. HDH Wills 1965 Charitable Trust [1117747]
  4. Wellcome Centre for Integrative Neuroimaging - Wellcome Trust [203139/Z/16/Z]
  5. National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centres (BRC)
  6. University of Oxford
  7. Oxford Parkinson's Disease Centre (Parkinson's UK Monument Discovery Award) [J1403]
  8. MRC Dementias Platform UK
  9. European Union's Horizon 2020 programme 'Lifebrain' [732592]
  10. Alzheimer's Society Junior Research Fellowship [441]
  11. National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC)
  12. Wellcome Trust [215573/Z/19/Z]
  13. US National Institutes of Health [R01AG056477]
  14. UK Medical Research Council [MRC S011676]
  15. NordForsk
  16. Academy of Finland [311492]
  17. US National Institutes on Aging [NIA R01AG056477, RF1AG062553]
  18. Oxford Health NHS Foundation Trust
  19. MRC [G1001354] Funding Source: UKRI

向作者/读者索取更多资源

The location and intensity information of WMHs play a crucial role in their association with cognitive performance, with periventricular T1w-hypointense WMHs showing significant impact on cognitive tests. Total WMH volume, however, does not seem to be directly related to cognition.
White matter hyperintensities (WMHs) on T2-weighted images are radiological signs of cerebral small vessel disease. As their total volume is variably associated with cognition, a new approach that integrates multiple radiological criteria is warranted. Location may matter, as periventricular WMHs have been shown to be associated with cognitive impairments. WMHs that appear as hypointense in T1-weighted images (T1w) may also indicate the most severe component of WMHs. We developed an automatic method that sub-classifies WMHs into four categories (periventricular/deep and T1w-hypointense/nonT1w-hypointense) using MRI data from 684 community-dwelling older adults from the Whitehall II study. To test if location and intensity information can impact cognition, we derived two general linear models using either overall or subdivided volumes. Results showed that periventricular T1w-hypointense WMHs were significantly associated with poorer performance in the trail making A (p = 0.011), digit symbol (p = 0.028) and digit coding (p = 0.009) tests. We found no association between total WMH volume and cognition. These findings suggest that sub-classifying WMHs according to both location and intensity in T1w reveals specific associations with cognitive performance.

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