Mild traumatic brain injury (mTBI), including sport-related concussion, is a major health issue. Changes in cerebral blood flow (CBF) following concussion, as measured by arterial spin labeling (ASL) MRI, may potentially be an indicator of injury or recovery. Compared to healthy controls, we found that CBF was significantly decreased in recently concussed youth ( within 14 days post-injury) within the regions of the occipital and parietal lobes, including the right precuneus. For these regions, CBF of recovered youth was greater than recently concussed and less than controls, though not significantly different from either group.
Seventy six youth hockey players (30 recently concussed, 21 recovered, and 25 healthy controls with no history of concussion; age range 11-18 years; 61 male and 15 female) were recruited. Recently concussed subjects underwent MRI within 14 days of injury (average 7.3 ±3.3 days between concussion and scanning for recently concussed subjects), and recovered subjects underwent MRI within 7 days of being cleared to return to play (36.57 ±16.57 days between concussion and scanning for recovered subjects). ASL was performed using 3 Tesla GE Discovery MR750w (GE Healthcare ,Waukesha, WI) scanners at Alberta Children’s hospital (13 recently concussed, 21 recovered and 15 controls) and Seaman Family MR Research Centre (17 recently concussed, 10 controls) with 3.5-mm slice thickness. Quantitative Cerebral Blood Flow (CBF) maps were automatically calculated from the 3D ASL scan using the GE scanner-integrated pipeline with default settings. Two step co-registration was performed to transform the raw ASL images into MNI space using corresponding T1-weighted images. These transformation matrices were then used to bring the CBF maps into MNI space.
A whole brain gray matter voxel-by-voxel analysis was performed among the three groups, using FSL’s general linear model (GLM) approach with the randomise option to correct for multiple comparisons. The MNI tissue probability map was thresholded at gray matter probability >25% to create a gray-matter mask in order to constrain the statistical comparisons to gray matter only. Demeaned age, sex and scanner site were used as covariates in the GLM model to remove any effect from these factors.
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