Abstract
The objective of this work is to characterize the neurophysiologic changes in a patient who suffered a concussion during a football practice via quantitative and graph-theoretic measures and to evaluate the results with respect to the pre-concussion state. We report on a high school athlete who sustained a self-reported concussion while wearing a 16-channel portable EEG recorder and a specially instrumented helmet capable of recording biomechanical impact data. This opportune occurrence has enabled a detailed assessment of the type and duration of changes that occur to human brain function immediately following a sports-related concussion. In the post-concussion EEG segment, we observed a significant decrease in both the quantitative and graph-theoretic measures. More specifically, we observed a significant decline in the cross-mutual information measure between certain pairs of electrodes as well as in the global efficiency of the corresponding brain network. The deviations in the selected quantitative and graph-theoretic measures partially corroborate the usual clinical characteristics of the post-concussion state but further investigation for additional data and evaluation of alternative quantitative measures are needed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cifu, D., Drake, D.: Repetitive head injury syndrome. eMedicine.com (2006)
Cormen, T.H., Stein, C., Rivest, R.L., Leiserson, C.E.: Introduction to Algorithms, 2nd edn. McGraw-Hill, New York (2001)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley Series in Telecommunications and Signal Processing. Wiley-Interscience, New York (2006)
Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134 (1), 9–21 (2004)
Del Rossi, et al.: Real-time changes in human EEG immediately following athletic-related concussion. Manuscript in preparation (2004)
Dow, R.S., Ulett, G., Raaf, J.: Electroencephalographic studies immediately following head injury. Am. J. Psychiatr. 101, 174–183 (1944)
Gavett, B.E., Stern, R.A., McKee, A.C.: Chronic traumatic encephalopathy: a potential late effect of sport-related concussive and subconcussive head trauma. Clin. Sports Med. 30 (1), 179-xi (2011)
Giza, C.C., Kutcher, J.S., Ashwal, S., Barth, J., Getchius, T.S., Gioia, G.A., et al.: Summary of evidence-based guideline update: evaluation and management of concussion in sports: report of the guideline development subcommittee of the American academy of neurology. Neurology 80 (24), 2250–2257 (2013)
Hayes, M.H.: Statistical Digital Signal Processing and Modeling, 1st edn. Wiley, New York (1996)
Hughes, J.R., Hendrix, D.E.: Telemetered EEG from a football player in action. Electroencephalogr. Clin. Neurophysiol. 24 (2), 183–186 (1968)
Langlois, J.A., Rutland-Brown, W., Wald, M.M.: The epidemiology and impact of traumatic brain injury: a brief overview. J. Head Trauma Rehabil. 21 (5), 375–378 (2006)
McCrea, M., Hammeke, T., Olsen, G., Leo, P., Guskiewicz, K.: Unreported concussion in high school football players: implications for prevention. Clin. J. Sport Med. 14 (1), 13–17 (2004). Official Journal of the Canadian Academy of Sport Medicine
Pikovsky, A., Rosenblum, M., Kurths, J., Hilborn, R.C.: Synchronization: a universal concept in nonlinear science. Am. J. Phys. 70 (6), 655–655 (2002)
Shannon, C.: A mathematical theory of communication. Bell Syst. Tech. J. 27, 379–423, 623–656 (2009)
Skidmore, F., Korenkevych, D., Liu, Y., He, G., Bullmore, E., Pardalos, P.M.: Connectivity brain networks based on wavelet correlation analysis in Parkinson fMRI data. Neurosci. Lett. 499 (1), 47–51 (2011)
Teel, E.F., Ray, W.J., Geronimo, A.M., Slobounov, S.M.: Residual alterations of brain electrical activity in clinically asymptomatic concussed individuals: an EEG study. Clin. Neurophysiol. 125 (4), 703–707 (2014)
Thatcher, R.: Electroencephalography and mild traumatic brain injury. In: Slobounov, S., Sebastianelli, W. (eds.) Foundations of Sport-Related Brain Injuries, pp. 241–265. Springer, New York (2006)
Watts, D.J., Strogatz, S.H.: Collective dynamics of “small-world” networks. Nature 393 (6684), 440–442 (1998)
Werner, C., Engelhard, K.: Pathophysiology of traumatic brain injury. Br. J. Anaesth. 99 (1), 4–9 (2007)
West, M., Parkinson, D., Havlicek, V.: Spectral analysis of the electroencephalographic response in experimental concussion in the rat. Electromyogr. Clin. Neurophysiol. 53 (2), 192–200 (1982)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Pappas, I., Rossi, G.D., Lloyd, J., Gutmann, J., Sackellares, J., Pardalos, P.M. (2016). Synchronization and Network Measures in a Concussion EEG Paradigm. In: Kalyagin, V., Koldanov, P., Pardalos, P. (eds) Models, Algorithms and Technologies for Network Analysis. NET 2014. Springer Proceedings in Mathematics & Statistics, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-29608-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-29608-1_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29606-7
Online ISBN: 978-3-319-29608-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)