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Oculomotor control in table tennis: where experts look, which visual functions set them apart, what nine training trials showed at the table.
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In brief. In table tennis, the expert's gaze picks up the ball early, lets it go, and relies heavily on the head. Table tennis players outperform non-players on several visual functions, with no established cause. The gains at the table come from small trials, mostly in beginners; none measures the match. An inventory of 52 studies, updated November 3, 2026.
Hello to you, the movement professional,
At the University of Tsukuba, in Japan, a team had seven university table tennis players exchange forehands, at the pace of a metronome set to 100, 120 or 150 beats per minute, with an eye tracker on their heads. While the ball was coming toward them, their gaze rested on it only 40% of the time. They picked it up at the moment the opponent hit it, left it, then sent saccades toward the other side of the table (Shinkai et al., 2025). Picture the ball racing toward the racket while the player's eyes have already gone back to the opponent.
This is far from the old instruction, keep your eyes on the ball until contact. Two questions for the coach: what do a table tennis player's eyes do, and can visual work make them better at the table? Let's raise the objection right away: no trial found has shown that an eye exercise wins points in a match for an experienced table tennis player. We went back over 52 studies one by one, null results included.
Oculomotor control covers the movements that bring the useful image onto the fovea, the small central zone of the retina where vision is sharp, and keep it there. Four families matter here: fixation, which places the gaze; smooth pursuit, which accompanies a slow target; saccades, rapid jumps from one point to another; vergence, which sets the two eyes to the distance and gives depth. The vestibulo-ocular reflex stabilizes the image when the head moves. The binocular vision pyramid organizes these skills; here, we look at what has been measured in table tennis players.
Pursuit alone is not enough: in virtual reality, table tennis players and non-players follow an incoming ball mostly through catch-up saccades (Nakazato et al., 2024). Land and Furneaux, drawing notably on table tennis, describe proactive eyes, which anticipate the action instead of responding to the stimulus (Land and Furneaux, 1997).
Speed is played out early in the visual chain. In 37 young international table tennis players, the latency of two evoked potentials over area MT, the region of the cortex sensitive to motion, explains 80 to 90% of the variance in visuomotor reaction time; the premotor areas add nothing (Hülsdünker et al., 2019).
Study | Population (n) | What was done | Measure | Result |
|---|---|---|---|---|
5 experts | Repeated drill versus match | Gaze direction | Fixations on the opponent systematic in match play only; only the first part of the trajectory is followed | |
Higher- and lower-level players, sample size not given in the abstract | Forehand toward a target indicated early or late | Gaze, head, arm in 3D | The best follow the ball earlier and are more accurate; in both groups, gaze stabilized ahead of the ball before contact | |
University experts and semi-experts, more than 10 years of practice | Rallies of 20 forehands at 130 and 150 beats per minute | Gaze-ball angle at the bounce | Experts stay on the ball for less time, with smaller eye movements | |
12 university players | 10 forehands on a thrown ball | Gaze, head, eyes | Gaze on the ball mainly at the start; the head weighs more than the eyes in gaze position | |
7 university players | 90 forehands at three tempos | Gaze, head, arm correlations | Head and arm synchronized (cross-correlations above 0.96) | |
7 university players | 30 strokes per tempo, three tempos | Gaze targets, saccades | Ball watched 40% of its approach time, saccades toward the opponent | |
46: professionals, amateurs, players with Down syndrome or intellectual disability | Table tennis tasks, wearable eye tracker | Fixations, saccades, pupil, vergence | Fixation duration identical (about 272 to 301 ms); wider pupil and more targeted gaze in professionals | |
17 elite players | 50 topspins against a robot | Blinks, pupil | Link between blinks and accuracy, lost after statistical correction | |
11 young elite players, 14.7 years on average | Fatigue and complexity manipulated | Quiet eye, successful strokes | Longer quiet eye before successful strokes; quiet eye and success drop under fatigue | |
10 players | Two matches in simulated competition | Quiet eye, type of stroke | Longer quiet eye before winning strokes than before errors |
The player picks up the ball early, just after the opponent's hit, then detaches from it; in a match, he looks at the opponent more than in a repeated drill (Ripoll, 1989). The best follow earlier, and everyone places their gaze ahead of the ball before contact (Rodrigues et al., 2002). The detail of saccades on the ball in the hitter goes beyond table tennis.
The head does a large part of the gaze work. In the forehand, head position weighs more than eye position, and the horizontal vestibulo-ocular reflex seems more suppressed than the vertical one (Shinkai et al., 2023). In continuous rallies, head and arm move together (Shinkai et al., 2024). Gaze is therefore set with the arm, in the same movement.
The quiet eye is the last fixation, of at least 100 ms, before a decisive movement. In 11 young elite players, it is longer before successful strokes and shortens under fatigue (Vincze and Jurchiș, 2022); in simulated competition, it is longer before winning strokes (Vincze et al., 2023). When the cue arrives early, players shorten it and slow the arm; too late, no adjustment saves accuracy (Rodrigues et al., 2002). These are correlations: a long quiet eye goes along with the good stroke, nothing yet says it produces it.
Study | Population (n) | What was done | Measure | Result |
|---|---|---|---|---|
29 young champions, 29 non-players | Visual examination | Acuity in low light, accommodative facility | Advantage for the champions (p < 0.001); baseline examinations identical | |
22 professionals, 23 students | Three stereoacuity tests, balls caught | Depth, manual skill | Better stereoacuity; 9.9 balls caught with two eyes versus 6.9 with one eye | |
80 university players, 56 non-athletes | Stereopsis in four modes, simple and choice reaction | Depth, response time | Better on two depth modes and in reaction; no correlation between the two | |
University players versus non-practitioners of a hitting sport, sample size not given in the abstract | Ball tracking in virtual reality, 54 conditions | Saccade accuracy | More accurate on a moving target; superior regularity on the familiar trajectory only; nothing on a fixed target | |
15 table tennis players, 15 basketball players, 15 non-athletes | Prosaccades in gap and overlap conditions | Saccade latency | Peak around 170 ms versus 190 ms (overlap); early, unimodal distribution in the 15 table tennis players (gap) | |
Table tennis players, soccer players, athletes, sample size not given in the abstract | Coherent-motion dots on a noisy background | Direction discrimination | Table tennis players better in the near periphery, soccer players in the far periphery | |
Table tennis players, action video game players, gymnasts, students | Modified useful field of view | Divided and selective attention | Table tennis and video game players better under heavy interference | |
37 young internationals, 13.5 years on average | Reaction to visual motion, 64-channel EEG | Area MT potentials, reaction time | Visual latencies: 80 to 90% of the variance in reaction time | |
18 young internationals, 12.5 years on average | Reaction on screen then on robot balls | Visual evoked potentials | Measurable at the table (r = 0.72 and 0.74 with the laboratory), weaker | |
148: 39 table tennis players, 81 badminton players, 28 non-athletes | Reanalysis of three studies | Resting alpha frequency | No link with perception or reaction (r ≤ 0.10) | |
16 experts and novices, 40 trials each | Coincidence-anticipation | Timing error | No effect of expertise at constant speed; expert advantage under deceleration | |
101 table tennis players, 107 tennis players aged 10 to 14 | Coincidence-anticipation, reaction | Error, reaction time | Table tennis players faster, tennis players more accurate in timing | |
90 young players in tennis, badminton, table tennis | Coincidence-anticipation at three speeds | Accuracy | Table tennis players better at high speed only | |
43 young players aged 7 to 12 | Throw and catch against a table stood upright, 30 s | Eye-hand coordination | National and regional centers above local centers; r = 0.54 with competition results | |
48 young players aged 7 to 11, followed for 2.5 years | Perceptuo-motor battery | Future results | Predicts results (R² = 51%), not continued participation in competition | |
39 young players aged 7 to 11, followed for 9 years | Same battery | Dropout, performance | Eye-hand coordination alone retained for dropout; with aiming, R² = 36.4% for performance |
On almost every function tested, table tennis players do better than non-players or than other athletes: depth, accommodation, saccade latency and accuracy, motion discrimination, attention under interference. These between-group comparisons are cross-sectional: they do not say whether table tennis trains these functions or whether it retains those who already had them.
One clue argues for an adaptation to the sport itself: the advantage is often limited to the conditions of play, such as the familiar trajectory (Nakazato et al., 2024), the near periphery (Goya et al., 2025) or high speed (Akpinar et al., 2012). These functions do not necessarily go together: in the same sample, depth perception does not predict visuomotor reaction time (Lee et al., 2021). Depth in binocular vision does matter, though: with one eye, professionals catch fewer balls (Zhu et al., 2019).
The idea of a resting alpha frequency that would signal a fast brain does not hold in these data: in 148 subjects, it is linked neither to visual perception nor to simple reaction speed (Hülsdünker and Mierau, 2021). On the detection side, Ripoll and Latiri pointed out as early as 1997 the limits of their coincidence test for assessing athletes or spotting talent (Ripoll and Latiri, 1997), whereas Faber's throw-and-catch partly predicts the future of children followed for nine years (Faber et al., 2023).
Study | Population (n) | What was done | Measure | Result |
|---|---|---|---|---|
Regional players, university players, novices | Video, congruent, incongruent or absent trajectory | Predicted landing point | Experienced players better; regional players equal to university players | |
Experts and novices | Imposed fixation during the toss | Microsaccades | Microsaccades directed toward the ball or the racket, not toward the predicted side | |
Experts and novices | Free viewing, direction prediction | Areas fixated | Experts on hand and racket in the forehand, on the trunk in the backhand | |
Experts and non-experts | Serves in functional MRI | Activations | Sensorimotor and semantic areas more active in the expert faced with the incongruent | |
Table tennis players and novices | Serves in EEG | Accuracy, theta waves | Experts more accurate, theta increased on incongruent trajectories | |
18 higher-level players, 18 lower-level players | Temporal occlusion under high or low anxiety | Accuracy, efficiency | Anxiety: efficiency down, accuracy intact | |
20 table tennis players, 28 non-athletes | 36 h without sleep, functional MRI | Anticipation accuracy | Anticipation degraded; compensatory activation in table tennis players only | |
29 experts, 34 non-experts | Serve cut at contact, functional MRI | Activation patterns | Expert or non-expert classification at 90.48%; cerebellum, vermis, supplementary motor area among the discriminating regions | |
Experts and novices | Gaps between predicted and actual outcome | Detection, theta | Experts better; theta rising with the gap | |
Table tennis players, volleyball players, novices | Serves in video and in point-light displays | Reading patterns | Only table tennis players make good use of the useful cues | |
Controls, experts, elites | Modified Posner paradigm, go/no-go, EEG | Accuracy, P3 | Elites more accurate; P3 plateaus at elite level | |
23 table tennis players, 31 controls | Serve spin and direction, EEG | Evidence accumulation | Spin and direction read through distinct pathways; athletes faster | |
Experts and novices | Trials ranked by legibility of the movement | Prediction | Expert advantage reduced when the movement is hard to read |
The expert table tennis player reads the opponent's body before contact: the hand and racket in the forehand, the trunk in the backhand (Piras et al., 2019). This advantage depends on the sport practiced. Volleyball players spot the same cues as table tennis players without exploiting them as well (Zhao et al., 2025), and it plateaus: regional players do no better than university players (Zhao et al., 2018). On the brain side, the cerebellum, the vermis and the supplementary motor area are among the regions that best distinguish experts (Ji et al., 2024).
The advantage is also fragile. Anxiety slows the reading without making it wrong (Ren et al., 2022), a prolonged sleepless night degrades it (Dai et al., 2023), and a hard-to-read opposing movement brings the expert back toward his expectations (Zhao and Zhou, 2026). Anticipation in tennis and padel follows the same logic. Can this reading skill be trained?
Study | Population (n) | Published protocol | Measure | Result | Transfer to the field | Level of evidence |
|---|---|---|---|---|---|---|
57 beginners, 29 versus 28 | Matches in virtual reality against an artificial intelligence, 7 sessions, 3 hours 30 minutes in total; control group without training | Forehand, backhand, serve, rated blind by a coach | Clear progress (d = 1.08 and 1.10) | Measured and positive, at the table | Moderate to low | |
120, 60 versus 60 | 12 weeks of virtual reality versus traditional teaching | Serve accuracy, rallies, technical score | Better progress in virtual reality (score of 18.7 versus 13.2 points) | Measured and positive, at the table | Moderate | |
38 beginners aged 17, 21 versus 17 | 6 sessions of virtual reality; control group without intervention | Battery of technical tests | Forehand, backhand and overall score improved | Measured and positive, at the table | Low | |
15, 8 versus 7 | 5 sessions of virtual reality; control group without training | Technique, balls returned | Technique improved, balls returned unchanged | Measured, partial | Low | |
48 adolescents, 24 versus 24 | 10 weeks of multi-ball with eyes-closed strokes and weighted movement, versus normal training | Accuracy, stability, ball speed | Accuracy and stability better; speed unchanged | Measured at the table, partial | Low to moderate | |
28 internationals | 10-minute warm-up with and without stroboscopic glasses | Reaction and hitting time on robot balls | The warm-up speeds up reaction; the glasses add nothing | Measured and null | Moderate | |
50, 25 versus 25 | Oculomotor exercises with gaze stabilization, twice a day, 6 weeks, sent by messaging, in addition to training | Tapping, reaction on light targets, tracing test, dynamic visual acuity | Progress reported on all tests | Not measured | Low | |
42 female beginners aged 20 to 35 | 8 daily sessions of 30 min, three levels of cognitive difficulty and a control group | Attentional control, cognitive effort | All groups improve, with no difference between them | Not measured | Low | |
Novices, sample size not given in the abstract | Serve anticipation training by observation or by execution, and a control group | Anticipation, connectivity in functional MRI | Behavioral effect not quantified in the abstract | Not measured | Low | |
6 trials, 426 tennis or table tennis players | Meta-analysis of virtual reality | Performance in racket sports | g = 0.78; prediction interval from -0.01 to 1.57 | Preliminary signal | Low to moderate | |
12 studies, 493 subjects, including table tennis | Narrative review of virtual reality | Targeted skills | Often positive; transfer debated | Not established | Low |
Virtual reality brings together the clearest results at the table. Four trials, four technical improvements, mostly in beginners. Three compare with a group without training; only Ma and his colleagues compare with traditional teaching, over 12 weeks (Ma et al., 2024). In Oagaz, technique improves without more balls getting through (Oagaz et al., 2022). The racket-sports meta-analysis concludes cautiously: these results "should be regarded as a preliminary signal rather than confirmation of effectiveness" (Liu et al., 2026).
The only trial found of stroboscopic glasses in the warm-up in table tennis players, internationals, finds no added benefit (Strainchamps et al., 2023). The same team obtained in young badminton players a reaction gain in the laboratory after ten weeks, with no difference between groups on field tests (Hülsdünker et al., 2021); the trial is detailed with stroboscopy in badminton.
The only oculomotor exercise program found in table tennis players improves laboratory tests, with no game criterion, no blinding described, and its abstract stops before the p values (Altuncu and Aras Bayram, 2024). The exact exercises are not detailed there.
Near transfer, on tests close to the exercise, appears in the oculomotor program. Intermediate transfer, on movements played at the table, appears with virtual reality and eyes-closed multi-ball. Far transfer, the match, has been measured by no trial. Null or partial results: Strainchamps 2023, Taghi 2025 (no difference between difficulty levels), Oagaz 2022 on balls returned, Cao 2020 on ball speed.
In 1990, Bootsma and van Wieringen argued that two of their five top-level players used vision continuously during the attacking forehand. By masking vision after the start of the movement, van Soest and his colleagues find no difference and defend a predictive motor control (van Soest et al., 2010); Bootsma and his colleagues maintain their reading (Bootsma et al., 2010). In top-level players, the role of vision once the stroke is launched therefore remains debated.
Study A | Relation | Study B |
|---|---|---|
Shinkai 2024 | probably the same sample | Shinkai 2025 (7 university players, same tempos, 30 strokes per tempo) |
Shinkai 2022 | nuance | Shinkai 2023 and 2024: the gaze-ball angle depends mostly on the eyes, the gaze position mostly on the head |
Ripoll 1989 | converges with | Shinkai 2025: brief tracking at the start of the trajectory, gaze toward the opponent |
Rodrigues 2002 | converges with | Vincze 2022 and 2023 on the quiet eye, and shows it reduced under time constraint |
van Soest 2010 | contradicts | Bootsma and van Wieringen 1990; Bootsma's reply 2010 |
Lee 2021 | nuance | Zhu 2019: better depth, with no link to reaction time |
Hülsdünker 2021 | reanalysis | the data of three earlier studies; same authors as Hülsdünker 2019 and 2020 and as Strainchamps 2023 |
Zhao 2025 | converges with | Akpinar 2012 and Nakazato 2024: advantage specific to the sport and its speeds |
Liu 2026 | includes | Michalski 2019, Ma 2024, Škopek 2024; not Oagaz 2022 |
Faber 2014 | same team, test reused | Faber 2016 and 2023: the eye-hand test enters the Dutch perceptuo-motor battery |
Zhao 2018, Wang 2019, Lu 2020, Ji 2024, Wang 2024, Zhao 2025, Guan 2025, Yan 2026, Zhao 2026, Du 2026 | same Shanghai university | replications that are not very independent |
The description of the expert gaze is the most solid part, consistent across more than thirty years. But replications often remain internal: Tsukuba for gaze in rallies, Shanghai for anticipation, a Luxembourg and German team for visual speed.
Established: the expert gaze leaves the ball early, moves toward the opponent, and the head contributes largely to it; the experts' anticipation advantage is specific to their sport. Debated: that the table tennis players' better visual functions come from playing rather than from selection, and that the quiet eye causes success. Extrapolation: that an eye exercise away from the table makes an experienced table tennis player play better. Nobody can promise you that visual work will win points for your athlete.
If a randomized trial in experienced table tennis players compares isolated oculomotor exercises with an equal volume of multi-ball, measures points won and unforced errors in a match, with retention at one month, and finds no difference, the idea that eye work away from the table improves play falls. That is the prediction that would settle the question, and this trial does not exist yet.
The eye assessment comes before the eye exercises. If your athlete reports double vision, a blur that persists, headaches during effort or dizziness, visual training waits. They first consult an ophthalmologist, then an orthoptist in France, or an optometrist in Switzerland or the United States. LabO RNP is neither medical nor paramedical, and is a complement to a care pathway, never a replacement for it. LabO RNP works with optometrists; the curriculum was built with them.
The eyes remain a gateway. What LabO RNP teaches is the entire sensorimotor loop: how what the athlete perceives organizes what they do. The table tennis player gives a tight example: the saccade leaves for the opponent, the head turns with the arm, and the eye has often left the ball when the racket touches it. The other families of visual training are classified on the evidence map in sports vision.
Experts do not. In forehand rallies, university table tennis players look at the ball for 40% of its approach time, then look at the opponent (Shinkai et al., 2025), and experts stay on it for less time than semi-experts (Shinkai et al., 2022). The effect of the instruction on play has not been tested.
On several functions, yes: depth, acuity in low light and accommodative facility, saccades on a moving target (Zhu et al., 2019; Jafarzadehpur and Yarigholi, 2004; Nakazato et al., 2024). Since these studies are cross-sectional, we do not know whether the sport creates these gaps or retains those who have them.
Only one program found: oculomotor exercises with gaze stabilization, twice a day for six weeks, in 50 players. Laboratory tests improve, no game criterion is measured, and the abstract does not detail the exercises (Altuncu and Aras Bayram, 2024).
Not in the warm-up. In 28 internationals, the 10-minute warm-up speeds up reaction and the glasses add nothing (Strainchamps et al., 2023). No stroboscopic program lasting several weeks was found in table tennis players; in young badminton players, ten weeks sped up reaction in the laboratory, with no difference between groups in the field (Hülsdünker et al., 2021).
Four trials, mostly in beginners, show technical progress at the table (Michalski et al., 2019; Ma et al., 2024; Škopek et al., 2024; Oagaz et al., 2022). The racket-sports meta-analysis sees a preliminary signal in them (Liu et al., 2026). No trial in experienced players.
Yes. Double vision, persistent blur, headaches during effort or dizziness: ophthalmologist first, then orthoptist or optometrist depending on the country. LabO RNP is neither medical nor paramedical, and is a complement to a care pathway, never a replacement for it.
In table tennis, the expert eye lets go of the ball before the stroke: it is the whole movement you need to read, not just the eyes.
👉 I want to learn to read the loop that links the eye to the racket.
By the LabO RNP team
Method. Inventory built on November 3, 2026 from PubMed and the LabO RNP sheets: 14 table tennis studies from the vision silo inventory, 25 from a complementary search, 13 from a targeted search (gaze in play, visual speed, detection, virtual reality), plus a reply from authors and a badminton trial cited as support. Excluded: robot studies, eye health studies, and an abstract containing a unit error. Each PMID was checked against its record; two non-indexed studies are cited by their DOI, checked on Crossref.
Ak E, Koçak S (2010). Coincidence-anticipation timing and reaction time in youth tennis and table tennis players. Percept Mot Skills, 110(3 Pt 1), 879-87. PMID 20681339. doi:10.2466/PMS.110.3.879-887
Akpinar S, Devrilmez E, Kirazci S (2012). Coincidence-anticipation timing requirements are different in racket sports. Percept Mot Skills, 115(2), 581-93. PMID 23265020. doi:10.2466/30.25.27.PMS.115.5.581-593
Altuncu G, Aras Bayram G (2024). The Effect of Oculomotor Exercises With Gaze Stabilization on Hand-Eye Coordination and Reaction Time in Table Tennis Athletes. Spor Bilimleri Dergisi, 35(1), 36-45. Not indexed in PubMed. doi:10.17644/sbd.1432708 (verified on Crossref)
Bootsma RJ, Fernandez L, Morice AH, Montagne G (2010). Top-level players' visual control of interceptive actions: Bootsma and van Wieringen (1990) 20 years later. J Exp Psychol Hum Percept Perform, 36(4), 1056-63; discussion 1064-6. PMID 20695718. doi:10.1037/a0019327
Cao Z, Xiao Y, Lu M, Ren X, Zhang P (2020). The Impact of Eye-closed and Weighted Multi-ball Training on the Improvement of the Stroke Effect of Adolescent Table Tennis Players. J Sports Sci Med, 19(1), 43-51. PMID 32132826.
Centeno A, González-Jiménez R, Bernárdez-Vilaboa R, Cedrún-Sánchez JE, Han M, Povedano-Montero FJ (2026). Blink Behaviour, Pupil Diameter, and Technical Performance in Elite Male Table Tennis Players: A Wearable Eye-Tracking Study. Sports (Basel), 14(10). PMID 42931557. doi:10.3390/sports14100420
Dai C, Peng Z, Wang L, Song T, Xu L, Xu M, Shao Y (2023). Total sleep deprivation reduces the table tennis anticipation performance of young men: A functional magnetic resonance imaging study. iScience, 26(10), 107973. PMID 37822501. doi:10.1016/j.isci.2023.107973
Du Z, Zhou C (2026). Multi-level integration for predictive inference: mPFC connectivity in action anticipation across representational profiles. Neuroimage, 334, 121970. PMID 42066922. doi:10.1016/j.neuroimage.2026.121970
Faber IR, Oosterveld FG, Nijhuis-Van der Sanden MW (2014). Does an eye-hand coordination test have added value as part of talent identification in table tennis? A validity and reproducibility study. PLoS One, 9(1), e85657. PMID 24465638. doi:10.1371/journal.pone.0085657
Faber IR, Elferink-Gemser MT, Faber NR, Oosterveld FG, Nijhuis-Van der Sanden MW (2016). Can Perceptuo-Motor Skills Assessment Outcomes in Young Table Tennis Players (7-11 years) Predict Future Competition Participation and Performance? An Observational Prospective Study. PLoS One, 11(2), e0149037. PMID 26863212. doi:10.1371/journal.pone.0149037
Faber IR, Koopmann T, Schipper-van Veldhoven N, Twisk J, Pion J (2023). Can perceptuo-motor skills outcomes predict future competition participation/drop-out and competition performance in youth table tennis players? A 9-year follow-up study. PLoS One, 18(2), e0281731. PMID 36763603. doi:10.1371/journal.pone.0281731
Goya R, Aoyama C, Takami A, Komiyama T, Shimegi S (2025). Superiority and characteristics of visual motion discriminability in collegiate table tennis players. Sci Rep, 15(1), 10015. PMID 40122969. doi:10.1038/s41598-025-94663-1
Guan Y, Wang Y, Zhou C, Wang J, Lu Y (2025). Distinct patterns of cognitive enhancement: The role of motor experience in domain-specific and general cognitive functions. Neuroscience, 576, 118-128. PMID 40274187. doi:10.1016/j.neuroscience.2025.04.034
Guiseris-Santaflorentina A, Sanchez-Cano A, Orduna-Hospital E (2026). Wearable eye-tracking of visuomotor strategies in table tennis players of diverse expertise and cognitive function in a naturalistic environment. Hum Mov Sci, 105, 103448. PMID 41412104. doi:10.1016/j.humov.2025.103448
Guo S, Liu Z, Yin L, Li Z, Lu Y (2026). Component-Specific Advantages in Visual Attention Across Experience Groups: A UFOV Study. Behav Sci (Basel), 16(4). PMID 42073876. doi:10.3390/bs16040513
Hülsdünker T, Ostermann M, Mierau A (2019). The Speed of Neural Visual Motion Perception and Processing Determines the Visuomotor Reaction Time of Young Elite Table Tennis Athletes. Front Behav Neurosci, 13, 165. PMID 31379535. doi:10.3389/fnbeh.2019.00165
Hülsdünker T, Ostermann M, Mierau A (2020). Motion-Onset Visual Potentials Evoked in a Sport-Specific Visuomotor Reaction Task. J Sport Exerc Psychol, 42(4), 280-291. PMID 32663802. doi:10.1123/jsep.2019-0255
Hülsdünker T, Gunasekara N, Mierau A (2021). Short- and Long-Term Stroboscopic Training Effects on Visuomotor Performance in Elite Youth Sports. Part 1: Reaction and Behavior. Med Sci Sports Exerc, 53(5), 960-972. PMID 33060548. doi:10.1249/MSS.0000000000002541 (badminton trial cited as support)
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Lee JS, Chang ST, Shieh LC, Lim AY, Peng WS, Chen WM, Liu YH, See LC (2021). Stereopsis and Response Times between Collegiate Table Tennis Athletes and Non-Athletes. Int J Environ Res Public Health, 18(12). PMID 34200687. doi:10.3390/ijerph18126287
Liu R, Yusof Hanafi HA, Zhong Z, Hami R (2026). Effects of virtual reality training on racket sports performance: A systematic review and meta-analysis of controlled trials. PLoS One, 21(4), e0345541. PMID 41941444. doi:10.1371/journal.pone.0345541
Lu Y, Yang T, Hatfield BD, Cong F, Zhou C (2020). Influence of cognitive-motor expertise on brain dynamics of anticipatory-based outcome processing. Psychophysiology, 57(2), e13477. PMID 31642529. doi:10.1111/psyp.13477
Ma T, Du W, Zhang Q (2024). The Effect of Virtual Reality Technology in Table Tennis Teaching: A Multi-Center Controlled Study. Sensors (Basel), 24(21). PMID 39517935. doi:10.3390/s24217041
Michalski SC, Szpak A, Saredakis D, Ross TJ, Billinghurst M, Loetscher T (2019). Getting your game on: Using virtual reality to improve real table tennis skills. PLoS One, 14(9), e0222351. PMID 31504070. doi:10.1371/journal.pone.0222351
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