journal article·2021-04-29Open access

Effects of Spontaneous Neural Activity during Learning Football Juggling—A Randomized Control Trial

Dandan Chen, Min Liu, Sebastian Klich, Lina Zhu, Xiaoxiao Dong, Xuan Xiong, Aiguo Chen

Applied Sciences· Volume 11· Issue 9

Abstract

To establish the characteristics of spontaneous neural activity during learning football juggling. We used fMRI to see which parts of the brain were changed by learning football juggling. Through recruitment, 111 college students (37 females and 74 males) were selected and randomly divided into football juggling (FJ) (n = 68, 23 females and 45 males) and a control group (CON) (n = 43, 14 females and 29 males). The FJ group learned football juggling 70 times, while CON had regular study sessions at the same time. Static functional magnetic resonance imaging (fMRI) was used to measure the dynamic changes of spontaneous nerve activity during learning football juggling. The result shows that the ALFF value in the right cerebellum 8 area was significantly higher than that before the 70 times of learning football juggling. The present study provides initial evidence that learning football juggling 70 times effectively increased the level of spontaneous neural activity in the cerebellum region. These promising findings provide new evidence to fully reveal the relationship between motion learning and brain plasticity.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Sports Performance and Training · Motor Control and Adaptation · Sport Psychology and Performance

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Physical Education, Yangzhou University, Yangzhou 225127, China

Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China

Chinese–Polish Laboratory of Sport and Brain Science, Yangzhou University, Yangzhou 225127, China

School of Sports Science, Qufu Normal University, Shandong 273165, China

Department of Paralympic Sport, University School of Physical Education in Wrocław, 51-617 Wrocław, Poland

School of Physical Education and Sports Science, Beijing Normal University, Beijing 100875, China

Funding

the National Natural Science Foundation of China

References (39)

Show source-provided references
1. Motor learning and didactics into physical education and sport documents in middle school-first cycle of education in Italy
2. Transfer and motor skill learning in association football10.1080/001401300750004104 ↗
3. Sport expert’s motor imagery: Functional imaging of professional motor skills and simple motor skills10.1016/j.brainres.2009.08.014 ↗
4. Modeling motor task activation from resting-state fMRI using machine learning in individual subjects
5. Long-term practice induced plasticity in the primary motor cortex innervating the ankle flexor in football juggling experts10.1123/mc.2013-0059 ↗
6. Exercising your brain: A review of human brain plasticity and training-induced learning10.1037/a0014345 ↗
7. Enhancing motor learning through external-focus instructions and feedback10.1016/S0167-9457(99)00031-7 ↗
8. The neurophysiological basis of compassion: An fMRI meta-analysis of compassion and its related neural processes10.1016/j.neubiorev.2019.10.023 ↗
9. Time-source of neural plasticity in complex bimanual coordinative tasks: Juggling10.1016/j.bbr.2017.04.011 ↗
10. Neural correlates of motor expertise: Extensive motor training and cortical changes10.1016/j.brainres.2019.146323 ↗
11. Measuring fMRI reliability with the intra-class correlation coefficient10.1016/j.neuroimage.2008.12.035 ↗
12. fMRI reliability: Influences of task and experimental design10.3758/s13415-013-0195-1 ↗
13. Amplitude of low-frequency fluctuation (ALFF) and fractional ALFF in migraine patients: A resting-state functional MRI study10.1016/j.crad.2016.03.004 ↗
14. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF10.1016/j.jneumeth.2008.04.012 ↗
15. Resting-state fMRI: A window into human brain plasticity10.1177/1073858414524442 ↗
16. Changes occur in resting state network of motor system during 4 weeks of motor skill learning10.1016/j.neuroimage.2011.06.014 ↗
17. Brain activations underlying different patterns of performance improvement during early motor skill learning10.1016/j.neuroimage.2012.04.052 ↗
18. Motor and cognitive growth following a Football Training Program10.3389/fpsyg.2015.01627 ↗
19. Hou, W. (2007). A comparison of attention between outstanding young female soccer athletes and ordinary female middle-school students: Constructing a distinction equation based on parameter differences. Chin. J. Tissue Eng. Res., 7.
20. The Hamilton Scales and the Hopkins Symptom Checklist (SCL–90)10.1192/bjp.160.2.206 ↗
21. Raven, J.C., and Court, J.H. (1998). Raven’s Progressive Matrices and Vocabulary Scales, Oxford pyschologists Press.
22. The distribution of left and right handedness in Chinese people
23. Jiao, T., Yong-Hong, M., Ming-Juan, S., Jing, L., Ke, M., and ZHANG, R.-Q. (2019). Survey on Mental Health Status of Urban Community Residents in Xi’an Based on SCL-90 Psychological Scale. Soc. Sci. Educ. Hum. Sci.
24. Standardization research on Raven’s standard progressive matrices in China
25. Development of abbreviated nine-item forms of the Raven’s standard progressive matrices test10.1177/1073191112446655 ↗
26. Dynamic properties of human brain structure: Learning-related changes in cortical areas and associated fiber connections10.1523/JNEUROSCI.2567-10.2010 ↗
27. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI10.1016/j.braindev.2006.07.002 ↗
28. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences10.3758/BF03193146 ↗
29. Abnormal baseline brain activity in posttraumatic stress disorder: A resting-state functional magnetic resonance imaging study10.1016/j.neulet.2011.02.069 ↗
30. Altered resting brain function and structure in professional badminton players10.1089/brain.2011.0050 ↗
31. Brain networks governing the golf swing in professional golfers10.1080/02640414.2015.1022570 ↗
32. New insights into olivo-cerebellar circuits for learning from a small training sample10.1016/j.conb.2017.07.010 ↗
33. Exploring the connectivity between the cerebellum and motor cortex in humans10.1113/jphysiol.2003.059808 ↗
34. Functional magnetic resonance imaging of motor, sensory, and posterior parietal cortical areas during performance of sequential typing movements10.1007/s002210050447 ↗
35. Duality of cerebellar motor and cognitive functions10.1016/S0074-7742(08)60373-6 ↗
36. Motor learning in patients with cerebellar dysfunction10.1093/brain/113.1.103 ↗
37. Memory in patients with cerebellar degeneration10.1212/WNL.43.8.1536 ↗
38. A new role for the cerebellum in cognitive operations10.1037/0735-7044.106.5.731 ↗
39. Role of the cerebellum in motor cognition10.1111/j.1749-6632.2002.tb07578.x ↗