Shooting sports unlocked: how EEG reveal secrets of shooters Peer-Reviewed Publication
Published 02 March, 2026
Precise shooting performance depends not only on long-trained muscle memory but also on the brain's "high-efficiency rhythms." A recent systematic review published in Intelligent Sports and Health has for the first time categorized EEG studies in shooting sports into four main directions. The study reveals the neural efficiency mechanisms and brain plasticity principles underlying exceptional performance, and shows that the brain of an elite shooter functions like an efficient command network, capable of "filtering out" irrelevant distractions and optimizing resource allocation during tasks.
Notably, during aiming, elite shooters exhibit significantly enhanced activation in the right brain hemisphere, while synchronizing alpha rhythms to broadly suppress irrelevant thoughts and primary visual input, forming an "efficient and dynamic inhibitory control network.
"The neural basis of excellence lies not in fixed high-intensity activity in specific brain regions, but in the dynamic inhibition and collaboration of the whole-brain network according to task demands," notes corresponding author Anmin Gong.
Meanwhile, in novice shooters, the complexity of brain activity positively correlates with performance—contrary to the traditional notion that efficiency equates to "simplification"—revealing that the brain employs different optimization strategies at various stages of skill acquisition.
"Our study offers a new perspective for the scientific selection and training of athletes," adds Gong. "EEG neurofeedback training, based on the principles of neural plasticity, has been proven effective in enhancing shooting performance."
The authors expect wearable EEG devices integrated with dynamic brain network analysis, personalized "neural regulation" training programs to be developed going forward. "This will advance shooting training from an experience-driven approach to a precision-oriented era grounded in neuroscientific evidence," says Gong.
Contact author details:
Gong Anmin, Shooting-Based EEG Pattern Recognition and Research, School of Information Engineering, People's Armed Police Force Engineering University, Xi'an, China, gonganmincapf@163.com
Funder:
This study was partially funded by the National Natural Science Foundation of China [Grant Nos. 62006246] and the 73rd batch of the General Postdoctoral Science Foundation of China (2023M734315). In addition, there are Xi'an Science and Technology Association youth talent lifting plan(959202413100).
Conflict of interest:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.