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BRAIN

Increased Diffusion in the Brain of Professional Boxers: A Preclinical Sign of Traumatic Brain Injury?

Lijuan Zhanga, Lisa D. Ravdinb, Norman Relkinb, Robert D. Zimmermana, Barry Jordanc,d, William E. Lathand and Aziz M. Uluga

a Department of Radiology, Weill Medical College of Cornell University, New York, NY
b Department of Neurology and Neuroscience, Weill Medical College of Cornell University, New York, NY
c Burke Rehabilitation Hospital, New York, NY
d New York State Athletic Commission, New York, NY

Address reprint requests to Aziz M. Ulug, M.D., Weill Medical College of Cornell University, Department of Radiology, Box 141, 1300 York, New York, NY 10021


    Abstract
 TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 
BACKGROUND AND PURPOSE: Professional boxing is associated with chronic, repetitive head blows that may cause brain injuries. Diffusion-weighted imaging is sensitive to microscopic changes and may be a useful tool to quantify the microstructural integrity of the brain. In this study, we sought to quantify microscopic alterations associated with chronic traumatic brain injury in professional boxers.

METHODS: MR and diffusion-weighted imaging were performed in 24 boxers and in 14 age- and sex-matched control subjects with no history of head trauma. Using distribution analysis, the average diffusion constant of the entire brain (BDav) and diffusion distribution width ({sigma}) were calculated for each subject; findings in professional boxers were compared with those of control subjects. In the boxer group, correlations between diffusion changes and boxing history and diffusion changes and MR imaging findings were assessed.

RESULTS: The measured diffusion values in the boxer group were significantly higher than those measured in the control group (BDav, P < .0001; {sigma}, P < .01). In the boxer group, a robust correlation was found between increased BDav and frequency of hospitalization for boxing injuries (r = 0.654, P < .05). The most common MR finding in the boxer group was volume loss inappropriate to age followed by cavum septum pellucidum, subcortical white matter disease, and periventricular white matter disease.

CONCLUSION: Boxers had higher diffusion constants than those in control subjects. Our data suggest that microstructural damage of the brain associated with chronic traumatic brain injury may elevate whole-brain diffusion. This global elevation can exist even when routine MR findings are normal.


    Introduction
 TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 
Brain injury from repetitive head blows has been reported in the boxer population (18). Diffuse axonal injury has been described as a major form of primary damage to the brain in blunt head injury. Chronic traumatic encephalopathy (CTE) and traumatic brain injury (TBI) often result in dementia pugilistica, a neurologic abnormality caused by repetitive exposure to head blows in contact sports such as soccer and boxing (24, 6, 7). A prevalence study of retired professional boxers revealed that 20% of those assessed developed CTE (8).

Commonly, CT and MR imaging findings of CTE are negative or nonspecific. Imaging findings of brain atrophy and hyperintensity are associated with periventricular white matter disease (PWMD) with or without cavum septum pellucidum (CSP) (3, 9, 10). None of these findings are definitive signs of early CTE (11).

MR diffusion-weighted imaging is sensitive to changes of microscopic Brownian motion of water molecules in brain tissue. The underlying microstructure of the brain tissue imposes restriction on the diffusion of water. Changes in the microstructure of the brain can be inferred from increased diffusion. This information cannot be obtained from routine MR imaging (1214).

Experimental models of TBI show that diffusion initially decreases in the acute phase after trauma and subsequently increases (15). Some data suggest that diffusion was changed at the site of trauma and surrounding tissue even when T2-weighted findings were unremarkable (16). We hypothesize that the global diffusion of the brains exposed to chronic trauma is different from that of normal age-matched controls.


    Methods
 TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 
Study Participants

We studied 24 professional boxers (aged 21–53 years, average 32.3 years ± 7.2) and 14 age-matched healthy volunteers as controls (aged 23–45 years, average 32.2 years ± 7.3). Control subjects were free of neurologic disease and had no boxing history. All participants were male. Informed consent was obtained from all participants. Imaging protocols were approved by our institutional review board.

MR Imaging Protocol

The following sequences were performed in all the subjects by using a 1.5-T clinical MR system (Signa; GE Medical Systems, Milwaukee, WI) equipped with a quadrature head coil. Imaging parameters were: axial T1-weighted imaging (TR/TE, 500/14), axial T2-weighted imaging (TR/TE, 4000/102), fluid-attenuated inversion recovery imaging (TR/TE/TI,10,000/162/2200; matrix, 256 x 192), and diffusion-weighted imaging (TR/TE, 10500/106; matrix, 128 x 128). For all imaging protocols, section thickness was 0.5 cm, (no intersection gap); field of view, 22 cm; and number of excitations, 1. We used 30 sections covering the entire brain from the top convexity to the brain stem.

Diffusion was measured in three orthogonal directions (x, y, z) at b = 1000s/mm2. Another set of images (So) were obtained at b = 0. By using the diffusion-weighted images in three orthogonal directions, an orientation-independent diffusion image related to trace of diffusion tensor was obtained as

1)
where DWIRL is the diffusion-weighted image with a diffusion gradient in the right-left direction (anteroposterior and superoinferior). The diffusion trace images and b = 0 images were transferred to a computer workstation for further data processing. The Dav maps were calculated from the DWItrace and So images by using the following equation:

2)

Distribution Analysis and BDav Calculation

In each subject, a computer program was used to calculate the whole-brain diffusion distribution histogram (Fig 1). This program distributed the pixels into 250 bins with a bin width of 0.02 10-5 cm2/s. This histogram was then fitted to a triple Gaussian curve by using commercial software (KaleidaGraph, Adelbeck Software, Reading PA). This curve (C1e-[(Dav-BDav)/{sigma}]2 + C2e-[(Dav-D2)/{sigma} 2]2 + C3e-[(Dav-D3)/{sigma} 3]2) represents a two-compartment model with mixing (three compartments): 1) brain tissue compartment, 2) brain tissue mixed with CSF, 3) high diffusion compartment of CSF and nonbrain tissue. The mean of the brain tissue distribution is recognized as a mean diffusion constant for the whole brain (BDav). Peak locations and peak widths were determined from the fitted data. The peak location of the brain tissue compartment was interpreted to be BDav, and the Dav distribution width to be {sigma}.



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FIG 1. Normalized brain diffusion distribution histograms in a control subject and a boxer (case 15). The areas under the two curves are the same. The Dav data (dots and circles) are fitted with a triple Gaussian function to represent the two-compartment nature and the mixing between the two compartments (lines). The narrow peak represents the distribution of the brain tissue about its mean. The second and the third compartments have a broader distribution. The mean of the brain tissue pixel distribution is recognized as a mean diffusion constant for the entire brain (BDav). The distribution width ({sigma}) of the brain tissue compartment is also recorded. The fitted curve of the boxer (circles) shifts to the right as compared with the curve of the control subject (dots). The second compartment level of the boxer’s curve is higher than that of the control subject.

Details of this brain model and distribution analysis have been described elsewhere (17).

Scoring of MR Findings

For each boxer, volume loss, CSP, SWM, PWMD, and negative findings were independently scored. Any of the findings above were scored as one if listed in any of the MR findings in the boxer group; otherwise, the score was 0. Volunteers did not have any positive MR signs.

Statistical Analysis

The means and standard deviations of the measured diffusion parameters were calculated for the boxer and control groups. A Student t test was then used to determine the significance of the results. P < .05 was considered to be statistically significant. Pearson product-moment correlations were conducted on calculated diffusion parameters, BDav and {sigma}; measures of boxing performance and history; and routine MR imaging findings.


    Results
 TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 
BDav and {sigma} and MR findings in boxers are summarized in Table 1. BDav values in boxers and control subjects were 0.760 ± 0.018 (10-5cm2/s) and 0.732 ± 0.013 (10-5cm2/s), respectively. Average BDav in control subjects was consistent with that cited in a previous report (17). Thirteen boxers had BDav values more than two SD above the controls’ mean, and five boxers had BDav values more than four SD above the controls’ mean. The statistical analysis is summarized in Table 2. No statistically significant difference existed between the age of boxers and that of control subjects (P > .05). BDav and {sigma} values were significantly higher in the boxers compared with those in control subjects (P < .0001and P < .01, respectively). The difference between boxers and control subjects remained significant even when the measured diffusion results (BDav and {sigma}) of boxers with normal MR findings were compared with those of control subjects, the diffusion values of boxers with normal MR images were still significantly different from those of control subjects (P < .01).


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TABLE 1: Comparison of diffusion values and MR findings in boxers

 


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TABLE 2: Distributions of BDav and {sigma} in boxer group versus those in control group

 

Figure 1 shows diffusion distribution histograms from a control subject and a boxer (case 15). The diffusion distribution of the boxer has a tissue peak that is wider and lower than that of the control subject. The peak is also shifted to the higher diffusion value. Figure 2 displays the diffusion data from all boxers and control subjects. Overall, BDav is higher and {sigma} wider in the boxers as compared with control subjects.



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FIG 2. BDav versus {sigma} for boxers and control subjects: Overall, the boxer group shows elevated BDav and {sigma}.

We compared increased BDav with times of hospitalization for boxing injury and found a robust correlation (r = 0.65, P < .05). Similar analyses between BDav and age when boxing was started, total rounds, years of performance, or number of wins and losses did not reveal any significant correlation (P > .05). MR findings in boxers are summarized in Table 3. General or focal volume loss inappropriate for age was found in eight boxers, CSP in five, nonspecific PWMD in two, and SWM in four (Fig 3). Scores of the positive MR findings for the boxers were not correlated to BDav (P > .05).


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TABLE 3: MR findings in boxers

 



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FIG 3. Representative images of MR findings in boxers: A, Cavum septum pellucidum (case 14); B, nonspecific periventricular white matter disease (case 22); and C, mild subcortical white matter demyelination (case 21).


    Discussion
 TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 
Diffusion-weighted imaging is sensitive to microscopic Brownian movement (1820). Microscopic change occurs in the structure and diffusion of the brain after TBI (21, 22). Decreased diffusion has been reported in association with diffuse brain injury (23). Animal studies have shown reductions in diffusion after acute spinal cord injury involving both gray and white matter as well as abnormalities in tissues beyond the site of injury (13, 15). In this study, the average diffusion in brain tissue, as measured by BDav, was higher in the brains of professional boxers as compared with the brains of nonboxing control subjects (P < .0001). In addition, the distribution of Dav in brain ({sigma}) was wider in boxers than that in control subjects (P < .01) (Figs 1 and 2). These phenomena may be explained by less restricted diffusion of water molecules in the brains of boxers as compared with control subjects. The widened distribution ({sigma}) within the brain tissue compartment may indicate greater heterogeneity of diffusion within the brain. Factors such as damage to the integrity of cells and microvasculature of brain, which increase intercellular space and decrease restriction of diffusion, may contribute to the increased diffusion in the brains of boxers. It is, however, difficult to correlate, noninvasively and in vivo, these diffusion changes to damage to the cells and microvasculature of the brain. Future investigation is needed to explore the histologic detail and pathologic evolution occurring in the brain after traumatic injury.

In this study, five boxers had high BDav and {sigma} values, similar values reported in previous studies of dementia (24, 25). Of these five cases, case 15 had no positive MR findings, whereas three of the remaining four cases had CSP revealed by MR imaging. This may suggest that increased BDav is highly associated with CSP because of CSF fluid dynamics. It is believed that CSP in boxers is acquired rather than congenital and results from rotational injuries with tearing of the septum pellucidum. A larger study sample may further elucidate the correlation between history of trauma and pathologic findings. It would be of interest to track the changes in diffusion in the brain associated with repetitive trauma and the corresponding clinical correlation. A robust correlation exists between increased BDav values in boxers and number of times hospitalized for boxing-related injuries (r = 0.65, P < .05). This supports our assumption that accumulative exposure to severe head trauma in boxing causes brain injury and increases entire brain diffusion. Similar analyses revealed no significant correlation between BDav or {sigma} and the total rounds of performance, years of performance, age when boxing began, years of boxing, or number of losses.

Eleven boxers were found to have abnormalities on brain MR images. Volume loss inappropriate for age was the most frequent finding (n = 8), followed by CSP (n = 5) and SWM (n = 4); some boxers had more than one positive MR finding. This is in agreement with previous studies (3, 4, 8, 9). None of these factors were independently correlated with an increase in BDav and summed scores. BDav values in boxers with negative MR findings were significantly different from those in control subjects (P < .01). This supports the theory that BDav increase occurs before abnormalities appear on MR images.

Four of our cases had nonspecific SWM either with or without CSP and mild volume loss. Etiology could include infarct, demyelination, or gliosis. Myelination is among the major sources for restricted diffusion of water in brain, and demyelination may explain increases in BDav. MR spectroscopy may help detect the focal or general integrity of myelin in injured brains. Previous studies reported increase in choline- and myo-inositol-containing compounds increase after trauma (2628). A recent MR spectroscopy study revealed that myelin degradation occurred 2 days after blunt head trauma, which likely evolves during the postinjury period (27). This increase may reflect membrane disruption and the consequent release of choline-containing compounds. Membrane disruption leads to damage of cell integrity; thus, increased diffusion of inter- and intracellular water molecules could lead to a higher measured BDav.

Changes in BDav in boxers’ brains may be explained by cumulative exposure to TBI, and cerebral self-restoration may lead to complex diffusion changes in the brain. BDav increase may appear before positive MR findings; thus, BDav could be a useful tool to help predict neurologic impairment from boxing and dynamically monitor results of treatment for brain injury. We have previously reported increases in BDav values and {sigma} in patients with dementia (24, 25) and therefore speculate that these observations in boxers may represent a preclinical sign of cognitive decline.

There are limitations to our study. None of the boxers had clinical evidence of CTE. This is not surprising given that CTE typically develops after the cessation of boxing. Further studies will be needed to determine the predictive value of increased diffusion in boxers. If this finding is indeed associated with subsequent development of CTE, it may be possible to prevent or decrease the incidence and severity of the disorder. In this study, diffusion-weighted imaging was performed at a single time point. A larger study sample with multiple examinations at several time points may further elucidate the correlation between history of trauma and pathologic findings. It would be of interest to track the changes in diffusion associated with repetitive trauma and to identify correlations between diffusion changes and cognitive function. It may be possible in the future to use diffusion-weighted imaging to track brain damage, spontaneous healing, and treatment response in boxers.


    Conclusion
 TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 
Quantitative diffusion-weighted imaging revealed statistically significant increases in BDav and {sigma} in the brains of professional boxers compared with diffusion measures in age-matched, nonboxing control subjects. These increased diffusion values were observed even when routine MR imaging results were negative or nonspecific. Our data suggest that diffusion tensor imaging can show early pathologic changes in the cellular and microvascular structures of the brain in the boxer population, and because these changes have also been reported in demented subjects, increased BDav and {sigma} may represent preclinical signs of cognitive decline. Correlation between increased BDav and frequency of hospitalization for boxing-related injury was significant; thus, BDav may be a useful index for monitoring the neurologic health of boxers.


    Acknowledgments
 
We thank the technologists in the MR Department for acquiring high-quality images in this study and the New York State Athletic Commission for their support and assistance with subject recruitment.


    References
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 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 

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Received August 13, 2002; accepted after revision October 22, 2002.




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