Efficient connectivity analysis of electroencephalogram in the pre-shot phase of rifle shooting based on causality method_Journal of Biomedical Engineering

Authors：

ZHANG Liwei ^1,2 ,  ZHOU Qianxiang ^1,2 , LIU Zhongqi ^1,2 , RAO Yonghong ³

1. School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, P.R.China;
2. Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 102402, P.R.China;
3. Troops 63936 PLA, Beijing 102202, P.R.China;

Corresponding author：

ZHOU Qianxiang, Email: zqxg@buaa.edu.cn

Keywords：

causal analysis; brain network; electroencephalogram; rifle shooting

DOI：

10.7507/1001-5515.201705078

Video：

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Abstract Full text Figures/Tables Video References Cited by

The directed functional connectivity in cerebral cortical is the key to understanding the pattern of the behavioral tissue. This process was studied to explore the directed functional network of rifle shooters at cerebral cortical rhythms from electroencephalogram (EEG) data, aiming to provide neurosciences basis for the future development of accelerating rifle skill learning method. The generalized orthogonalized partial directed coherence (gOPDC) algorithm was used to calculate the effective directed functional connectivity of the experts and novices in the pre-shot period. The results showed that the frontal, frontal-central, central, parietal and occipital regions were activated. Moreover, the more directed functional connections numbers in right hemispheres were observed compared to the left hemispheres. Furthermore, as compared to experts, novices had more activated regions, the stronger strength of connections and the lower value of the global efficiency during the pre-shot period. Those indirectly supported the conclusion that the novices needed to recruit more brain resources to accomplish tasks, which was consistent with " neural efficiency” hypothesis of the functional cerebral cortical in experts.

Citation： ZHANG Liwei, ZHOU Qianxiang, LIU Zhongqi, RAO Yonghong. Efficient connectivity analysis of electroencephalogram in the pre-shot phase of rifle shooting based on causality method. Journal of Biomedical Engineering, 2018, 35(4): 518-523. doi: 10.7507/1001-5515.201705078 Copy

1.	Kerick S E, Douglass L, Hatfield B. Cerebral cortical adaptations associated with visuomotor practice. Medicine and Science in Sports and Exercise, 2004, 36(1): 118-129.
2.	Haufler A J, Spalding T W, Santa Maria D L, et al. Neuro-cognitive activity during a self-paced visuospatial task: comparative EEG profiles in marksmen and novice shooters. Biol Psychol, 2000, 53(2/3): 131-160.
3.	Hatfield B D, Haufler A J, Hung T M, et al. Electroencephalographic studies of skilled psychomotor performance. J Clin Neurophysiol, 2004, 21(3): 144-156.
4.	Kerick S E, Mcdowell K, Hung T M, et al. The role of the left temporal region under the cognitive motor demands of shooting in skilled marksmen. Biol Psychol, 2001, 58(3): 263-277.
5.	Doppelmayr M, Finkenzeller T, Sauseng P. Frontal midline theta in the pre-shot phase of rifle shooting: differences between experts and novices. Neuropsychologia, 2008, 46(5): 1463-1467.
6.	Schneider W, Shiffrin R M. Controlled and automatic human information processing: Ⅰ. Detection, search and attention. Psychological Reviews, 1977, 84: 1-66.
7.	Babiloni C, Marzano N, Infarinato F, et al. "Neural efficiency" of experts' brain during judgment of actions: a high-resolution EEG study in elite and amateur karate athletes. Behav Brain Res, 2010, 207(2): 466-475.
8.	Deeny S P, Haufler A J, Saffer M, et al. Electroencephalographic coherence during visuomotor performance: a comparison of cortico-cortical communication in experts and novices. J Mot Behav, 2009, 41(2): 106-116.
9.	Del Percio C, Lacoboni M, Lizio R, et al. Functional coupling of parietal α rhythms is enhanced in athletes before visuomotor performance: a coherence electroencephalographic study. Neuroscience, 2011, 175: 198-211.
10.	Gentili R J, Bradberry T J, Oh H, et al. Evolution of cerebral cortico-cortical communication during visuomotor adaptation to a cognitive-motor executive challenge. Biol Psychol, 2015, 105: 51-65.
11.	Lehto M R, Landry S J. Introduction to human factors and ergonomics for engineers. 2nd ed. Boca Raton: Crc Press, 2012.
12.	Omidvarnia A, Azemi G, Boashash B, et al. Measuring time-varying information flow in scalp EEG signals: orthogonalized partial directed coherence. IEEE Trans Biomed Eng, 2014, 61(3): 680-693.
13.	Ding M, Chen Y, Bressler S L. Granger causality: basic theory and application to neuroscience. Quantitative Biology, 2006: 826-831.
14.	Granger C W. Investigating causal relations by econometric models and cross-spectral methods. Essays in econometrics. Cambridge: Harvard University Press, 2001: 31-47.
15.	Baumeister J, Reinecke K, Liesen H, et al. Cortical activity of skilled performance in a complex sports related motor-task. European Journal of Applied Physiology, 2008, 104: 625-631.
16.	Del Percio C, Babiloni C, Bertollo M, et al. Visuo-attentional and sensorimotor alpha rhythms are related to visuo-motor performance in athletes. Hum Brain Mapp, 2009, 30(11): 3527-3540.
17.	Masters R, Maxwell J. The theory of reinvestment. International Review of Sport and Exercise Psychology, 2008, 1: 160-183.
18.	Callan D E, Naito E. Neural processes distinguishing elite from expert and novice athletes. Cogn Behav Neurol, 2014, 27(4): 183-188.

1. Kerick S E, Douglass L, Hatfield B. Cerebral cortical adaptations associated with visuomotor practice. Medicine and Science in Sports and Exercise, 2004, 36(1): 118-129.
2. Haufler A J, Spalding T W, Santa Maria D L, et al. Neuro-cognitive activity during a self-paced visuospatial task: comparative EEG profiles in marksmen and novice shooters. Biol Psychol, 2000, 53(2/3): 131-160.
3. Hatfield B D, Haufler A J, Hung T M, et al. Electroencephalographic studies of skilled psychomotor performance. J Clin Neurophysiol, 2004, 21(3): 144-156.
4. Kerick S E, Mcdowell K, Hung T M, et al. The role of the left temporal region under the cognitive motor demands of shooting in skilled marksmen. Biol Psychol, 2001, 58(3): 263-277.
5. Doppelmayr M, Finkenzeller T, Sauseng P. Frontal midline theta in the pre-shot phase of rifle shooting: differences between experts and novices. Neuropsychologia, 2008, 46(5): 1463-1467.
6. Schneider W, Shiffrin R M. Controlled and automatic human information processing: Ⅰ. Detection, search and attention. Psychological Reviews, 1977, 84: 1-66.
7. Babiloni C, Marzano N, Infarinato F, et al. "Neural efficiency" of experts' brain during judgment of actions: a high-resolution EEG study in elite and amateur karate athletes. Behav Brain Res, 2010, 207(2): 466-475.
8. Deeny S P, Haufler A J, Saffer M, et al. Electroencephalographic coherence during visuomotor performance: a comparison of cortico-cortical communication in experts and novices. J Mot Behav, 2009, 41(2): 106-116.
9. Del Percio C, Lacoboni M, Lizio R, et al. Functional coupling of parietal α rhythms is enhanced in athletes before visuomotor performance: a coherence electroencephalographic study. Neuroscience, 2011, 175: 198-211.
10. Gentili R J, Bradberry T J, Oh H, et al. Evolution of cerebral cortico-cortical communication during visuomotor adaptation to a cognitive-motor executive challenge. Biol Psychol, 2015, 105: 51-65.
11. Lehto M R, Landry S J. Introduction to human factors and ergonomics for engineers. 2nd ed. Boca Raton: Crc Press, 2012.
12. Omidvarnia A, Azemi G, Boashash B, et al. Measuring time-varying information flow in scalp EEG signals: orthogonalized partial directed coherence. IEEE Trans Biomed Eng, 2014, 61(3): 680-693.
13. Ding M, Chen Y, Bressler S L. Granger causality: basic theory and application to neuroscience. Quantitative Biology, 2006: 826-831.
14. Granger C W. Investigating causal relations by econometric models and cross-spectral methods. Essays in econometrics. Cambridge: Harvard University Press, 2001: 31-47.
15. Baumeister J, Reinecke K, Liesen H, et al. Cortical activity of skilled performance in a complex sports related motor-task. European Journal of Applied Physiology, 2008, 104: 625-631.
16. Del Percio C, Babiloni C, Bertollo M, et al. Visuo-attentional and sensorimotor alpha rhythms are related to visuo-motor performance in athletes. Hum Brain Mapp, 2009, 30(11): 3527-3540.
17. Masters R, Maxwell J. The theory of reinvestment. International Review of Sport and Exercise Psychology, 2008, 1: 160-183.
18. Callan D E, Naito E. Neural processes distinguishing elite from expert and novice athletes. Cogn Behav Neurol, 2014, 27(4): 183-188.

Journal of Biomedical Engineering

Efficient connectivity analysis of electroencephalogram in the pre-shot phase of rifle shooting based on causality method

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