Table 2.
Frequencies of expert sports, countries, and neurophysiological techniques in selected studies (N = 28).
| Reference numbers | No. of studies | |
|---|---|---|
| Karate | 2, 3, 5–8, 11 | 7 |
| Table tennis | 12, 24, 25, 27 | 4 |
| Soccer | 9, 14, 18 | 3 |
| Basketball | 22, 28 | 2 |
| Archery | 15, 21 | 2 |
| Badminton | 23, 27 | 2 |
| Baseball | 19, 26 | 2 |
| Kendo | 13, 16 | 2 |
| Football | 4 | 1 |
| Tennis | 27 | 1 |
| Rhythmic Gymnastics | 1 | 1 |
| Gymnastics | 16 | 1 |
| Volleyball | 28 | 1 |
| Fencing | 5 | 1 |
| Swimming | 18 | 1 |
| Shooting | 10 | 1 |
| High Jump | 20 | 1 |
| Golf | 17 | 1 |
| Italy | 1–3, 5–10 | 9 |
| China | 12, 22–25, 27, 28 | 7 |
| Japan | 13, 14, 16, 18, 19, 26 | 6 |
| Korea | 15, 21 | 2 |
| United States | 4, 17 | 2 |
| Turkey | 11 | 1 |
| Sweden | 20 | 1 |
| EEG | 1, 2, 5–11, 13, 14, 16, 19, 23–26 | 17 |
| fRMI | 3, 4, 11, 12, 15, 17, 18, 20, 22, 27, 28 | 11 |
| fNIRS | 21 | 1 |
1 = Babiloni et al. (2009); 2 = Babiloni et al. (2010); 3 = Berti et al. (2019); 4= Costanzo et al. (2016); 5 = Del Percio et al. (2008); 6 = Del Percio et al. (2009b); 7 = Del Percio et al. (2010); 8 = Del Percio et al. (2011); 9 = Del Percio et al. (2019); 10 = Di Russo et al. (2005); 11 = Duru and Assem (2018); 12 = Guo et al. (2017); 13 = Hatta et al. (2009); 14 = Iwadate et al. (2005); 15 = Kim et al. (2014); 16 = Kita et al. (2001); 17 = Milton et al. (2007); 18 = Naito and Hirose (2014); 19 = Nakamoto and Mori (2008); 20 = Olsson et al. (2008); 21 = Park et al. (2020); 22 = Qiu et al. (2019); 23 = Wang and Tu (2017), 24 = Wei and Li (2017); 25 = (Wei and Li, 2018); 26 = Yamashiro et al. (2015); 27 = Yang et al. (2020); 28 = Zhang et al. (2019).
fMRI, Functional magnetic resonance imaging; EEG, Electroencephalogram; fNIRS, Functional near-infrared spectroscopy.
Duru and Assem (2018) used both fMRI and EEG in their study; Berti et al. (2019) and Yang et al. (2020) applied rs-fMRI in their study.