Evidence map›Paper›PMID 42824886›Full record

ReviewFrontiers in human neuroscience2026

Physiological mechanisms and adaptation in high-performance shooting: a biomarker review.

Larisa Bayova, Nikita Grigorev, Victor Kazantsev, Susanna Gordleeva

Abstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Larisa BayovaCenter for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.
Nikita GrigorevCenter for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.
Victor KazantsevLaboratory of Neurodynamics and Cognitive Technologies, Neuroscience Research Institute, Lobachevsky State University, Nizhny Novgorod, Russia.
Susanna GordleevaCenter for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision shooting depends on the coordinated integration of multiple psychophysiological systems. This review summarizes the current literature on quantifiable biomarkers associated with high performance in shooting sports, examining neural, cardiac, oculomotor, muscular, postural, and respiratory activity. Special attention is given to individual variability in postural control and sensorimotor integration as key factors distinguishing expert from novice shooters. Electroencephalographic studies show that experienced shooters exhibit characteristic patterns of cortical activity, including left-hemisphere alpha synchronization reflecting reduced verbal-analytic processing, specific theta rhythm dynamics associated with focused concentration, and increased sensorimotor rhythm power associated with efficient movement preparation. Cardiac activity studies demonstrate that successful shooting is associated with a slower heart rate, a specific shot execution time within the cardiac cycle, and increased heart rate variability reflecting parasympathetic dominance. Oculomotor activity determines the duration of a steady gaze, a critical factor in accuracy, especially under competitive pressure. Electromyographic analysis shows that experts maintain stable, low-level muscle activation compared to novices, who exhibit a progressive increase in tension. Postural balance plays a significant role in weapon stability. Breathing regulation facilitates synchronization with exhalation and an optimal state of the autonomic nervous system. Despite the significant contribution of each parameter to performance, most studies examine individual parameters in isolation. Future research should focus on a multimodal approach that considers intersystem interactions and integrates relevant analytical tools, such as neural networks and explainable artificial intelligence. Training approaches using biofeedback have been shown to accelerate skill acquisition. Therefore, the development of personalized real-time feedback systems that transform raw physiological data into practical recommendations will be essential for optimizing training effectiveness and achieving maximum shooting performance.

Indexed as

biomarkerselectroencephalographyheart rate variabilityhigh performanceneurofeedbackquiet eyesport shooting

Identifiers

PMID42824886
PMCPMC13628164

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.