Virendra R Mishra1, Karthik Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Sarah Banks1, Dietmar Cordes1, and Charles Bernick1
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States
Synopsis
The professional fighters brain health study (PFBHS) is a
longitudinal study of active professional fighters with age-matched healthy
controls using multimodal MRI methods. Using ASL-MRI, we report for the first
time that cerebral blood flow (CBF) is significantly lower in boxers and mixed-martial-arts
fighters (MMA) than age-matched healthy controls. Most of the clusters were
located in the fronto-temporal lobe, cerebellum and thalamus. No significant
difference in perfusion between boxers and MMA suggests that type of combat
sports have an indiscernible effect on CBF, further suggesting that perfusion
may not account for different patterns of cognitive decline observed later in the
life of these athletes. Introduction
Studies have shown that both active and retired athletes with repeated
head trauma are more likely to suffer from depression,
cognitive decline, emotional imbalances and loss of executive and attention
functions when compared to age-matched healthy controls
1,2. Such
disorders emanate from structural/functional/perfusion damages to the brain.
Arterial spin labeling (ASL) MRI has been shown to quantify the relative
cerebral blood flow (CBF) in healthy and clinical populations
3. To
our knowledge, ASL-MRI has not been used to quantify differences in CBF between
professional fighters and age-matched healthy controls. The professional fighters
brain health study (PFBHS) is a longitudinal study of active professional
fighters with age-matched healthy controls using multimodal MRI methods
4.
In this study, we quantify the differences in CBF using ASL-MRI between
professional fighters and age-matched healthy controls which were classified into
boxers and mixed martial arts (MMA) fighters.
Methods
Subjects: A total of 276 subjects
(21 controls (20 male (M); 30.1±8.28 years), 109 boxers (99 M; 29.69±7.29
years) and 146 mixed martial arts fighters (138 M; 29.11±4.51 years) were
recruited at the center. Years of education, number of professional and amateur
fights, race, gender and year of first fighting were recorded at the first
visit for every subject. All subjects gave informed consent and the study was
approved by the local IRB.
Data
Acquisition: All subjects were scanned at our center with a 3T Siemens
Verio scanner with a 32 channel head coil. 2D gradient-echo single-shot-EPI
sequence was used to acquire pCASL images;
TR/TI/TE/Resolution/Dynamics=4500ms/2700ms/29ms/3.5mm
3/100. Sagittal
MPRAGE T1 weighted images were also acquired for every subject within the same
session with TR/TE/FA/Resolution= 2300ms/2.98ms/9
o/1mm
3.
Data Processing: BASIL toolbox
from FSL
5 was used to perform fast Bayesian fitting to the ASL
kinetic model on the time series.T1-scans from each subject was registered to
the mean dynamic ASL map. This registered T1-image was segmented and the
ventricular mask was used to quantify the CBF values in every voxel. The rCBF
maps thus obtained were transformed to MNI152 space for voxelwise statistical
comparisons.
Statistical comparisons: Due to the hugely imbalanced sample size
between control and professional fighters in this study, nonparametric
permutation t-tests
6 (controlled for age, gender, race and years of
education) was used to find clusters with significant differences among the groups.
Paired nonparametric tests were conducted between controls/boxers, control/MMA
and boxers/MMA. Cluster analysis was further performed on the statistical maps
obtained from nonparametric tests and only those clusters with more than 500
voxels were used for further analysis.
Results
Fig 1 shows mean CBF map overlaid on MNI template. Whole brain CBF
between controls (22.67±11.32 ml/100g/min), boxers (23.46±11.7 ml/100g/min) and
MMA (23.47±11.65 ml/100g/min) showed no significant differences among themselves.
One cluster was found to be significantly different (corrected p<0.05)
between controls and boxers (Cluster size = 5982 voxels, Fig 2a; effect
size>1, Fig 2b). Mean CBF in the cluster (Fig 2c) for controls (23.09±1.07
ml/100g/min) was significantly higher (corrected p<0.05) than in boxers (18.02±1.01 ml/100g/min).
2 clusters were found to be significantly different (corrected p<0.05)
between controls and MMA (Cluster sizes=4206, Fig 3a and 1758 voxels (not
shown); effect size>1 (Fig 3b); only the bigger cluster shown in 3b). Mean
CBF in both the cluster (Fig 3c; only bigger cluster shown) for controls (24.19±1.08 ml/100g/min) was
significantly higher (corrected p<0.05) than in MMA (18.6±1.18 ml/100g/min). There were no
significant clusters between boxers and MMA.
Discussion and Conclusion
Our results show for the first time using ASL-MRI that CBF is
significantly lower in boxers and MMA than compared to age-matched healthy
controls. Most of these clusters are located in the fronto-temporal lobe,
cerebellum and thalamus. No significant difference in perfusion between boxers and MMA suggests that type of combat sports have an indiscernible effect on CBF, further suggesting that perfusion may not account for different patterns of cognitive decline observed later in the life of these athletes
7.
Acknowledgements
This study was supported by the funding from Lincy foundation.References
[1] Casson et al., 1984. JAMA., 251:2663-2667. [2] McKee et al., 2013.
Brain., 136:43-64. [3] Wolk and Detre., 2012. Curr Opin Neurol., 25: 421-428.
[4] Bernick et al., 2013. Am. J. Epidemol., 178 :280-286. [5] Chappell et al.,
2009. IEEE Transactions on Signal Processing., 57:223-236 [6] Nichols and
Holmes., 2002. Hum Brain Mapp., 15:1-25. [7] Shin et al., 2014. AJNR Am J Neuroradiol., 35:285-290.