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Association of brain microbleeds with risk factors, cognition, and MRI markers in MESA.


ABSTRACT:

Introduction

Little is known about the epidemiology of brain microbleeds in racially/ethnically diverse populations.

Methods

In the Multi-Ethnic Study of Atherosclerosis, brain microbleeds were identified from 3T magnetic resonance imaging susceptibility-weighted imaging sequences using deep learning models followed by radiologist review.

Results

Among 1016 participants without prior stroke (25% Black, 15% Chinese, 19% Hispanic, 41% White, mean age 72), microbleed prevalence was 20% at age 60 to 64.9 and 45% at ≥85 years. Deep microbleeds were associated with older age, hypertension, higher body mass index, and atrial fibrillation, and lobar microbleeds with male sex and atrial fibrillation. Overall, microbleeds were associated with greater white matter hyperintensity volume and lower total white matter fractional anisotropy.

Discussion

Results suggest differing associations for lobar versus deep locations. Sensitive microbleed quantification will facilitate future longitudinal studies of their potential role as an early indicator of vascular pathology.

SUBMITTER: Jensen PN 

PROVIDER: S-EPMC11163989 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Association of brain microbleeds with risk factors, cognition, and MRI markers in MESA.

Jensen Paul N PN   Rashid Tanweer T   Ware Jeffrey B JB   Cui Yuhan Y   Sitlani Colleen M CM   Austin Thomas R TR   Longstreth W T WT   Bertoni Alain G AG   Mamourian Elizabeth E   Bryan R Nick RN   Nasrallah Ilya M IM   Habes Mohamad M   Heckbert Susan R SR  

Alzheimer's & dementia : the journal of the Alzheimer's Association 20230608 9


<h4>Introduction</h4>Little is known about the epidemiology of brain microbleeds in racially/ethnically diverse populations.<h4>Methods</h4>In the Multi-Ethnic Study of Atherosclerosis, brain microbleeds were identified from 3T magnetic resonance imaging susceptibility-weighted imaging sequences using deep learning models followed by radiologist review.<h4>Results</h4>Among 1016 participants without prior stroke (25% Black, 15% Chinese, 19% Hispanic, 41% White, mean age 72), microbleed prevalenc  ...[more]

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