Molly Faith Charney1, Janna Kochsiek2,3, Tyler C. Starr1, Michael Alosco4, Brett Martin4, Huijun Liao1, David Kaufmann2,3, Lauren J. O'Donnell5, Sylvain Bouix2, Fan Zhang5, Nikos Makris6, Martha Shenton2,7, Robert Stern4, Inga Koerte2,3, and Alexander P. Lin1
1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, United States, 3Child and Adolescent Psychiatry, Ludwig-Maximilians-Universität, Munich, Germany, 4Boston University, Boston, MA, United States, 5Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Boston, MA, United States, 6Massachusetts General Hospital, Boston, MA, United States, 7VA Boston Healthcare System, Brockton, MA, United States
Synopsis
Chronic
Traumatic Encephalopathy (CTE) is a neurodegenerative disease associated with
exposure to repetitive head impacts. This study aims to characterize the
differing clinical presentations of CTE using MR Spectroscopy and Diffusion
Tensor Imaging. Unsupervised Learning was first used to divide a
cohort of former NFL players into sub-groups based on the degree
of mood/behavior symptoms and cognitive impairment relative to controls. The
neurometabolite concentrations and measures of diffusivity were then compared
between the sub-groups. Athletes with increased mood/behavior symptoms showed alterations
reflective of neuroinflammation, whereas the cognitive impairment sub-group
showed more neuronal and structural alterations.
Purpose
Chronic Traumatic
Encephalopathy (CTE) is a neurodegenerative disease associated with exposure to
repetitive head impacts. CTE can only be diagnosed post-mortem. The clinical
symptoms of CTE include impairments in mood, behavior, cognition, and motor
function1. Previously, the clinical symptoms have been divided into
two broad categories: mood/behavior changes and cognitive decline1.
The current study aims to better understand the clinical presentation of CTE in vivo
through the use of Magnetic Resonance Spectroscopy (MRS), Diffusion Tensor
Imaging (DTI), and neuropsychological/neuropsychiatric testing. MRS allows for
the in vivo detection of a variety of neurometabolites such as glutathione
(GSH), myo-inositol (mI), creatine (tCr), and N-acetyl aspartate (tNAA). DTI
allows for the quantification of measurements of diffusivity, such as
fractional anisotropy (FA) and trace.Methods
87 former NFL players
and 23 healthy controls and former non-contact sports athletes from the DETECT
study cohort were analyzed. Short echo, single voxel spectroscopy with a
32-channel head coil (3T, PRESS, TE=30ms, TR=2s, 128 averages, 2x2x2 cm3)
was acquired in the posterior cingulate gyrus (PCG), parietal white matter
(PWM), and anterior cingulate gyrus (ACG). Diffusion MRI was acquired using the
following parameters: TR=11.7s, TE=85ms, FOV 256 mm, 128x128 matrix, 2.0 mm
slice thickness, 73 slices were acquired using 64 diffusion directions, consisting
of 59 diffusion-weighted images with multiple b values from 80s/mm2 to
3000s/mm2 and 5 images with b-value of 0s/mm2 for anatomical reference3.
Clinical tests were divided into two categories: self-report measures of mood
and behavior symptoms and objective measures of cognitive functioning. The
K-means clustering algorithm was used to divide the NFL group into sub-groups
based on the degree of mood/behavior symptoms and cognitive impairment relative
to controls, in order to create homogenous groups within a heterogeneous
dataset. The neurometabolite concentrations and measures of diffusivity were
then compared between the groups. Multiple cluster analyses allow for
investigation of metabolic and microstructural alterations among differing
clinical presentations. Results
In the 2 K-means
cluster analysis, the NFL group was divided into a subgroup with more mood and
behavior symptoms and a subgroup with less mood and behavior symptoms, both
with a range of cognitive decline. In the PWM, there was significantly
decreased GSH/tCr (p=0.0463) in the group of NFL players with high mood and
behavior symptoms compared to controls (Figure 1). In addition, a significant
negative correlation between GSH/tCr and age was observed (p=0.0271). However,
the group with high mood and behavior symptoms and decreased GSH/tCr was significantly
younger than the low mood and behavior symptoms group (p=0.018), suggesting
that these changes are not due to age. In the ACG, an increase in mI/tCr
(p=0.02) was observed in the high mood and behavior symptoms sub-group compared
to NFL players with less mood and behavior symptoms (Figure 1). In the 3
K-means cluster analysis, significantly increased trace in the Superior Frontal
Tract of the Corpus Callosum (CC) (p=0.0261) was observed in the NFL players
with the greatest mood/behavior symptoms compared to NFL players with the
fewest mood/behavior symptoms (Figure 2). In the 4 K-means cluster analysis,
one cluster represents NFL players with worse performance on cognitive measures
and minimal mood and behavior symptoms. This group has significantly decreased
tNAA/tCr (p=0.0104) and GSH/tCr (p=0.0248) in the ACG compared to a cluster of
NFL players with the highest mood and behavior symptoms and a spectrum of
cognitive performance (Figure 3). In addition, decreased FA was found in the
Parietal Tract of the Corpus Callosum (p=0.0233) and Left Hemisphere Cingulum
Bundle (CB) Tract (p=0.0306) in the NFL players with worse cognitive performance
compared to those with few mood/behavior symptoms and normal cognitive
functioning (Figure 3). Conclusion
These results suggest
that differing metabolic and microstructural alterations occur along a spectrum
of mood and behavior symptoms and cognitive functioning in former NFL players
at increased risk for CTE. Alterations in GSH and mI suggest neuroinflammation is
associated with mood and behavior symptoms. A decrease in NAA in former NFL
players with cognitive decline may suggest neuronal loss in these subjects.
Increased trace in the superior frontal tract of the CC in NFL players with
more mood/behavior symptoms suggests an association between white matter microstructural
alterations and neuropsychiatric symptoms. In addition, decreased FA in the worse
cognitive performance sub-group in tracts associated with sensory processing in
the CC and working memory in the CB provides further evidence of
microstructural alterations in white matter tracts associated with clinical/cognitive
presentation. Additional studies are needed to correlate these results with
neuropathology.Acknowledgements
We would like to acknowledge the following funding source: R01AG038758-01References
1. Stern, Robert A.
et al. “Clinical Presentation of Chronic Traumatic Encephalopathy.” Neurology 81.13 (2013): 1122–1129.
2.
Alosco, Michael L. et al. “Magnetic Resonance Spectroscopy as a Biomarker for
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Neurol 37.5 (2017): 503-509.
3. Zhang, Fan. et al. “An anatomically curated
fiber clustering white matter atlas for consistent white matter tract
parcellation across the lifespan.” NeuroImage
179 (2018): 429-447.