Abstract

With the advent of susceptibility-weighted imaging (SWI), the ability to identify cerebral microbleeds (CMBs) associated with mild traumatic brain injury (mTBI) has become increasingly commonplace. Nevertheless, the clinical significance of post-traumatic CMBs remains controversial partly because it is unclear whether mTBI-related CMBs entail brain circuitry disruptions which, although structurally subtle, are functionally significant. This study combines magnetic resonance and diffusion tensor imaging (MRI and DTI) to map white matter (WM) circuitry differences across 6 months in 26 healthy control volunteers and in 26 older mTBI victims with acute CMBs of traumatic etiology. Six months post-mTBI, significant changes (p < 0.001) in the mean fractional anisotropy of perilesional WM bundles were identified in 21 volunteers, and an average of 47% (σ = 21%) of TBI-related CMBs were associated with such changes. These results suggest that CMBs can be associated with lasting changes in perilesional WM properties, even relatively far from CMB locations. Future strategies for mTBI care will likely rely on the ability to assess how subtle circuitry changes impact neural/cognitive function. Thus, assessing CMB effects upon the structural connectome can play a useful role when studying CMB sequelae and their potential impact upon the clinical outcome of individuals with concussion.

Highlights

  • Using magnetic resonance, diffusion-weighted and diffusion tensor imaging (MRI, DWI and DTI, respectively) to quantify within-subject changes in white matter (WM) properties across time remains a challenging task of brain image analysis [1]

  • traumatic brain injury (TBI)-related cerebral microbleeds (CMBs) were identified in the brain of each mild traumatic brain injury (mTBI) volunteer, with no preferential localization to any specific region

  • The task of longitudinal, within-subject analysis of WM changes in the human brain is of substantial interest in studies of aging, brain injury, dementia, development, etc

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Summary

Introduction

Diffusion-weighted and diffusion tensor imaging (MRI, DWI and DTI, respectively) to quantify within-subject changes in white matter (WM) properties across time remains a challenging task of brain image analysis [1]. Even when using the same acquisition protocol at each time point when MRI volumes are acquired, substantial artifactual differences between scans can often be present across imaging volumes acquired from the same subject. Such differences may pertain to (A) the signal-to-noise ratio (SNR) of MRI/DWI measurements, (B) the magnitude and spatial distribution of magnetic susceptibility artifacts, (C) the spatial pattern and extent of subject motion during. White Matter Alterations due to Microbleeds data acquisition, etc These and other confounds can lead to inaccurate calculation of diffusion parameters, to imprecise estimation of tensors for DTI analysis, and to subsequent loss of reliability when making scientific inferences. Potentially very useful, longitudinal analysis of WM changes prompted by TBI remains challenging

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