Quantifying differences in the cerebral blood flow (CBF) between controls, professional boxers and Mixed Martial Arts (MMA) fighters using arterial spin labeling (ASL) MRI
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 controls1,2. 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 populations3. 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 methods4. 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/3.5mm3/100. Sagittal MPRAGE T1 weighted images were also acquired for every subject within the same session with TR/TE/FA/Resolution= 2300ms/2.98ms/9o/1mm3. Data Processing: BASIL toolbox from FSL5 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-tests6 (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 athletes7.

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.

Figures

Mean-CBF from healthy control (a), boxers (b) and mixed martial arts (MMA) fighters (c) overlaid on MNI template. Colorbar represents the cerebral blood flow (CBF) in ml/100g/min. Of-note: Whole-brain mean-CBF of controls is lower than in boxers and/or MMA fighters but statistical results showed a non-significant (p>0.05) result. (Refer results)

Voxels from the cluster that has significant difference (a) (corrected p<0.05) between control and boxers and the effect size map (b) overlaid on MNI template. The colorbar represents the cohen’s effect size. Boxplot of mean CBF for each control and boxers in the significant cluster is shown in (c).

Voxels from the cluster that has significant difference (a) (corrected p<0.05) between control and MMA and the effect size map (b) overlaid on MNI template. The colorbar represents the cohen’s effect size. Boxplot of mean CBF for each control and MMA in the significant cluster is shown in (c).



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
0275