Yukai Zou1,2, Xianglun Mao3, Ikbeom Jang3, Nicole L. Vike2, Thomas S. Redick4, Thomas M. Talavage1,3, and Joseph V. Rispoli1
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 2College of Veterinary Medicine, Purdue University, West Lafayette, IN, United States, 3School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 4Department of Psychological Sciences, Purdue University, West Lafayette, IN, United States
Synopsis
Understanding
how contact sports activities potentially affect the brains and cognitive abilities
of adolescent athletes in both short and long-term scales is critical. Using 3 Tesla diffusion-weighted imaging (DWI) and tract-based spatial statistics, this study
investigated the white matter microstructure of 13 high-school female soccer
athletes over one competition season. No significant difference of DWI metrics across
the season was observed. However, regression analyses showed significant effects
of years of high-school experience and concussion history on the DWI metrics
within corticothalamic and limbic pathways, and the abnormal changes of DWI metrics
may relate to cognitive impairments.
Purpose
Athletes
participating in contact sports are vulnerable to head acceleration events, which
may result in clinically-diagnosed concussions. However, there is still a lack
of comprehensive knowledge regarding both short and long-term effects of contact
sports on the brain and cognitive behavior of adolescent athletes. This study evaluates
whether the white matter (WM) microstructure of adolescent female soccer athletes
exhibits differences across one competition season, and whether diffusion-weighted
imaging (DWI) metrics may be dependent on years of high-school experience, concussion
history, and relate to cognitive measurements.Methods
Thirteen
high-school female soccer athletes (SC; demographics in Figure 1) completed five MRI
sessions over one competition season: one scan approximately 1 month before
contact practices (Pre), two scans in the first (In1) and second (In2) five-week
periods of the season, and two scans after the season ended (Post1 and Post2,
approximately 3 months in between). For each session, SC completed a computer-based
Immediate Post-concussion Assessment and Cognitive Test1,2 (see Figure
1). A 3 Tesla General
Electric Signa HDx (Waukesha, WI, U.S.A.) with a 16-channel head coil (Nova
Medical, Wilmington, MA, U.S.A.) was used for data acquisitions. Diffusion-weighted
images were acquired using a spin-echo echo-planar imaging sequence (TE=100ms,
TR=12,500ms, 40 slices with 2.5mm thickness), with 30 diffusion-encoding
directions at b=1000s/mm2 and
one at b=0s/mm2, an
acquisition matrix of 96×96mm2, and an upsampled isotropic
resolution of 1.0×1.0×1.0mm3. Data were preprocessed using FSL (FMRIB, Oxford, U.K.), including corrections for motions and eddy currents, followed by brain extraction. Fractional anisotropy (FA) and medial diffusivity (MD) were estimated for each individual, and the data passed visual quality inspection. Mean FA and MD skeletons were created from tract-based spatial statistics3. Analysis of covariance (ANCOVA) with age and concussion history as covariates was used to compare the mean FA and MD of the subjects at different sessions and at different years of high-school experience. Pearson’s partial correlation was conducted with concussion history as covariate to investigate associations between DWI metrics and years of high-school experience. Spearman’s correlation was performed to explore relations between cognitive measurements and DWI metrics. All regional p-values were corrected with false discovery rate (corrected p threshold=0.0257).Results
ANCOVA
showed no significant difference of DWI metrics at different sessions within SC;
however, there was a main effect of years of high-school experience on the DWI metrics
in the genu of the corpus callosum (gcc, FA: F[1,57]=28.628, MD:
F[1,58]=24.103, both p<0.001),
fornix (FA: F[1,56]=32.787, MD: F[1,56]=30.782, both p<0.001), and the left posterior thalamic radiation (ptrL, FA:
F[1,56]=52.440, MD: F[1,56]=26.093, both p<0.001)
(Figure
2, 3). Concussion history was a significant effect modifier for FA in
ptrL (F[1,56]=5.519, p=0.022), where subjects
with high-school experience and concussion history tend to have lower FA than
those without concussion (0.64±0.03 vs. 0.65±0.02, p=0.053).
Pearson’s partial correlations exhibited lower FA and higher MD in fornix (FA: r=-0.413, p=0.001; MD: r=0.369, p=0.004) and ptrL (FA: r=-0.489, p<0.001; MD: r=0.564, p<0.001) (Figure 4) related to more
years of high-school experience. Spearman’s correlations showed the differences
in DWI metrics within these regions were associated with abnormal changes in
cognitive measurements, including reaction time and visual motor speed (Figure
5).Discussion
We observed no significant difference of
either FA or MD at different sessions across the season, suggesting subjects
had no accumulation of microstructural abnormalities of WM over a relatively
short term. However, subjects with more years of high-school experience exhibited
lower FA and higher MD within corticolimbic and thalamic pathways compared to
those with fewer years of experience. Given that adolescent WM microstructure normally
shows year-to-year increasing FA and decreasing MD4, the subjects
may have experienced abnormal changes in their WM microstructure due to regular
exposure to contact sports over a period of years. Such changes may be caused
by loss of axonal ordering, reduced axonal density, and demyelination5.
The interaction between years of high-school experience and concussion history suggests
subjects who had previous concussion(s) were more vulnerable to microstructural
injury. The follow-up correlation analyses within the white matter regions provides
further evidence that abnormal changes in these DWI metrics may be related to cognitive
impairments in reaction time and visual motor speed.Conclusion
After many years of exposure to contact
sports, adolescent female athletes may have experienced abnormal changes in WM
microstructure within corticothalamic and limbic pathways. These physiologic
changes may be exacerbated in the presence of concussion history. The abnormal physiology
may affect cognitive abilities such as reaction time and visual motor speed,
possibly making the athletes more susceptible to future sports-related injury. Further,
greater concerns are warranted for the mental health of these athletes.Acknowledgements
We thank Dr. Gregory G. Tamer, Jr., for the training and assistance in scanner operation and data collection.References
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