Study record
EEG microstates before the release: Gu 2022 study
Research on Top Archer's EEG Microstates and Source Analysis in Different States
Citation
Gu, F., Gong, A., Qu, Y., Xiao, H., Wu, J., Nan, W., et al. (2022). Research on Top Archer's EEG Microstates and Source Analysis in Different States. Brain Sciences, 12(8), 1017. https://doi.org/10.3390/brainsci12081017
DOI: 10.3390/brainsci12081017Read the open-access version
Cite the study
Gu, F., Gong, A., Qu, Y., Xiao, H., Wu, J., Nan, W., et al. (2022). Research on Top Archer's EEG Microstates and Source Analysis in Different States. Brain Sciences, 12(8), 1017. https://doi.org/10.3390/brainsci12081017
@article{gu2022eegmicrostates,
author = {Gu, Feng and Gong, Anmin and Qu, Yi and Xiao, Hui and Wu, Jin and Nan, Wenya and others},
title = {Research on Top Archer's EEG Microstates and Source Analysis in Different States},
year = {2022},
journal = {Brain Sciences},
volume = {12},
number = {8},
pages = {1017},
doi = {10.3390/brainsci12081017}
}
Technical details
- Design
- Cross-sectional study
- Population
- Archers
- Participants
- 26
- Type
- Journal article
- Peer review
- Not stated
- Published in
- Brain Sciences
What it measured and what it found
The study recorded the EEG of high-level Chinese archers at rest with their eyes closed, and in the 3 seconds before release during a series of 35 shots at 70 metres. Of the 31 archers recruited, 26 were analysed: 13 from the Chinese national team, the "elite" group, and 13 from the Beijing team, the "expert" group. The elite archers had more years of practice (8.1 against 4.3) and a higher mean score per arrow (8.7 against 6.8). Microstate analysis divides the brain's electrical activity into brief stable configurations, four in this case, and measures their duration, frequency, share of total time and transitions from one to another, within each archer's alpha band.
At rest the elite archers spent more time in microstate D, the one the literature associates with voluntary attention: a share of 26.01% against 19.24%, and 2.68 occurrences per second against 2.07. During aiming the maps differed from the classic resting ones, and the authors interpret them mainly through source localisation: in both groups the most frequent transitions were towards microstate A, located in the left temporal region. In the elite group the duration and share of microstate C during aiming were negatively related to score (r -0.798 and -0.726): less C, better score. In the expert group no measure was related to score.
How it was measured
The EEG had 32 channels, recorded with a portable TMSi SAGA amplifier at 500 Hz on the national team's outdoor range. At rest the archers were recorded seated, 3 minutes with eyes closed and 3 with eyes open; they then shot 35 arrows at their own pace with their own bows, at a 52 x 52 cm target at 70 metres with a 10 ring 10 cm across and each following ring 5 cm wider, being told the result after every arrow. An infrared sensor marked the moment of the shot. The signal was filtered to each archer's individual alpha band, the peak alpha frequency with eyes closed plus or minus 2 Hz, cleaned of eye artefacts with independent component analysis and cut into 2-second windows at rest, 160 seconds per archer on average, and 3-second windows before each shot, 30 per archer on average.
The four microstate classes were obtained by clustering the maps, with their number chosen by a cross-validation criterion, and their sources were estimated with sLORETA. Groups were compared with the Wilcoxon test and FDR correction, and the relationship with score with Spearman correlation. Four archers were excluded for excessive artefacts and one because, with an average of 2.4 points, the authors thought he had not aimed in earnest.
The method explained: What a competition score does and does not measure, EEG, evoked potentials and neuroimaging
Limitations
The statistics suggest that the group comparisons were run on individual signal windows rather than on archers: with 13 people per group a Wilcoxon test cannot produce p values of the order of 10 to the minus 12, yet such values appear repeatedly. If so, the differences are much less robust than they look, because windows from the same archer are not independent observations; this is our inference, and the text does not allow it to be confirmed. The correlation with score also comes in two versions: p of 0.001 and 0.005 in the table, 1.1 times 10 to the minus 9 in the text.
There are other inconsistencies: the archer excluded for a low score is called expert13, but in the table the 2.4 average belongs to expert11, and the target described is not the regulation face for 70 metres. The interpretations (dorsal attention network, neural efficiency, suppression of language areas) rest on links between microstates and brain networks established in other studies, and the authors admit that the aiming maps do not match the classic ones. The introduction repeats, without discussion, the claim that 80% of a shooter's performance is psychological. The comparison is cross-sectional and cannot say whether the differences come from training or from something else.
What it means for archers
For archers the study offers nothing practical: it measures the brain's electrical activity with a method that needs 32 electrodes and complex analysis, and the results are interpreted through brain networks identified in other contexts. The underlying idea, that stronger archers have a different attentional profile even at rest, is plausible and in line with other EEG work on archers, but here it rests on statistics that probably treat many windows from the same archer as independent.
The finding closest to shooting is the negative correlation between microstate C during aiming and score in the national team archers: an association in 13 people, with no clear account of what that microstate represents while aiming. It does not point to anything to train and does not correspond to a sensation an archer could recognise or change.
In the registry
The claims this study is evidence for, with its position and the current status.
- ContestedHigher-level archers distribute their attention better (for, context)
- ReportedDuring the aim, elite archers' brains work in a more coordinated way than those of lower-level archers (context)
- ReportedThe longer an archer's brain stays in a frontally generated state while aiming, the lower the score (for)
- ReportedArchers classed at a higher level score more points (for)
- ReportedThe higher the archer's level, the tighter and better centred the group (for)
- CorroboratedWithin one group of archers, scores differ widely from one archer to another (for)
- ReportedAs the level rises, scores within a group of archers sit closer together (for)
- ReportedCompetitive archers' training volume varies enormously from one setting to another (for)
Articles that use it
Research line
Population and discipline
Cites, in the registry
- 2005Quantification the relationship between FITA scores and EMG skill indexes in archery
- 2008Affective and Physiological States during Archery Competitions: Adopting and Enhancing the Probabilistic Methodology of Individual Affect-Related Performance Zones (IAPZs)
- 2021Efficiency and Enhancement in Attention Networks of Elite Shooting and Archery Athletes
Cited in the registry by
Same research line
- 2005Quantification the relationship between FITA scores and EMG skill indexes in archery
- 2008Affective and Physiological States during Archery Competitions: Adopting and Enhancing the Probabilistic Methodology of Individual Affect-Related Performance Zones (IAPZs)
- 2021Efficiency and Enhancement in Attention Networks of Elite Shooting and Archery Athletes
- 2022A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks
- 2022Arch-Support Insoles Benefit the Archery Performance and Stability of Compound Archers
- 2024Effect of training phased distance training method the archer's shooting ability
Cite this record
Campagna, M. (2026). Study record: Research on Top Archer's EEG Microstates and Source Analysis in Different States. In Evidence Registry. matteocampagna.com. Retrieved 16 October 2026, from https://matteocampagna.com/en/evidence/gu-2022-eeg-microstates
@misc{campagna2026_enevidencegu2022eegmicrostates,
author = {Campagna, Matteo},
title = {Study record: Research on Top Archer's EEG Microstates and Source Analysis in Different States},
year = {2026},
howpublished = {Evidence Registry, matteocampagna.com},
url = {https://matteocampagna.com/en/evidence/gu-2022-eeg-microstates},
note = {accessed 2026-10-16}
}
Registry updates by email
At most one email a month, sent only when something has changed: claims that change status, new claims, Lab predictions registered or resolved, new studies and new books.
Sign-ups are handled by Systeme.io, the service that runs the newsletter. Every email has a link to unsubscribe with one click.