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

Autor: Sana Suri, Marina Codari, Klaus P. Ebmeier, Ludovica Griffanti, Francesco Sardanelli, Nicola Filippini, Mika Kivimäki, Vaanathi Sundaresan, Valentina Bordin, Abda Mahmood, Clare E. Mackay, Mark Jenkinson, Archana Singh-Manoux, Luca Melazzini, Enikő Zsoldos, Eugene P. Duff
Jazyk: angličtina
Rok vydání: 2021
Předmět:
medicine.medical_specialty
Aging
Cognitive Neuroscience
Computer applications to medicine. Medical informatics
R858-859.7
Cerebral small vessel diseases
Audiology
050105 experimental psychology
White matter
03 medical and health sciences
0302 clinical medicine
Cognition
Magnetic resonance imaging
Humans
Medicine
Cognitive Dysfunction
0501 psychology and cognitive sciences
Radiology
Nuclear Medicine and imaging
Effects of sleep deprivation on cognitive performance
RC346-429
Aged
medicine.diagnostic_test
business.industry
Trail making
05 social sciences
Leukoaraiosis
Regular Article
Hyperintensity
Cognitive test
Intensity (physics)
Clinical Practice
medicine.anatomical_structure
Neurology
Neurology. Diseases of the nervous system
Neurology (clinical)
Small vessel
business
030217 neurology & neurosurgery
Zdroj: NeuroImage: Clinical, Vol 30, Iss, Pp 102616-(2021)
NeuroImage : Clinical
NeuroImage: Clinical
DOI: 10.1016/j.nicl.2021.102616
Popis: Highlights • Heterogeneous measures of WMHs are used in research and clinical practice. • Location and image intensity should be considered in the assessment of WMHs. • T1-hypointense WMHs were found to be associated with poorer cognitive performance. • Sub-classes of WMHs provide promising results for translation into the clinic.
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.
Databáze: OpenAIRE
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