5.25 The Prefrontal Cortex and Executive Function in Sport

Every coach has watched it happen. The game plan is crystal clear in the meeting room — and gone by the last ten minutes of the match.

Same athlete. Same plan. So what vanished?

The answer sits just behind your forehead. The prefrontal cortex is the part of the brain that holds a goal in mind, suppresses the actions that don't serve it, and changes strategy when the situation changes.

It's also metabolically expensive, small in capacity, and unusually sensitive to stress, sleep loss and fatigue. Which means it fails first — and that's why competition performance so often diverges from training performance.

Get its architecture and you get three things every coach needs.

Why the optimum arousal level depends on task complexity rather than on personality. Why generic brain-training transfers poorly while sport-specific decision practice transfers well. And why automatising basic skills is the most reliable way to free capacity for the decisions that actually decide contests.

Key takeaways

1. Executive function isn't one skill. It's best described by three partly separable factors — inhibition, working memory and cognitive flexibility. They're correlated but not interchangeable.
2. The controller is small. Prefrontal cortex is capacity-limited: working memory holds roughly three to four chunks of information, not seven, once rehearsal strategies are controlled for.
3. The inverted U has a moving peak. Complex, novel, decision-heavy tasks peak at much lower arousal than simple, well-learned ones.
4. The chemistry has a narrow sweet spot. Too little noradrenaline and dopamine in prefrontal cortex produces distractibility; too much produces rigid, impulsive behaviour driven by lower structures.
5. Sleep loss hits it first — silently. Prefrontal function degrades measurably with a single night of restricted sleep, before subjective awareness of impairment develops.
6. Automatise to look smarter. Automatising fundamentals is the most effective way to increase apparent decision-making ability, because it reduces what prefrontal cortex has to hold.
7. Transfer is picky. Generic cognitive training improves the trained task with limited far transfer. Sport-specific decision training with real perceptual information transfers considerably better.

Beginner section: The part of the brain that holds the plan

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The part of the brain that holds the plan

Everything you do that isn't automatic runs through the front of your brain.

Holding a game plan in mind while tired. Resisting the urge to swing at a bad ball. Changing tactics halfway through a contest. Remembering to breathe out at the top of a lift.

All of it is prefrontal work.

A quick tour of the departments

The prefrontal cortex has recognisable subdivisions, and each earns its keep differently.

The dorsolateral part holds information online — which is what working memory means in practice. The ventrolateral part, particularly on the right, does response inhibition: not doing the thing you were about to do (Aron et al., 2014).

The orbitofrontal part tracks how much outcomes are worth, and updates that estimate when circumstances change. The anterior cingulate monitors conflict and errors, and decides whether persisting is worth the effort (Kandel et al., 2021).

And at the very front, the frontopolar region holds long-horizon goals. It's what allows you to train today for something happening in eight months.

Each department also has a signature failure, and you'll recognise them from the touchline. The plan lost mid-task. The swing taken before the decision. The bad option persisted with. The error nobody adjusts to. The athlete with no plan beyond the next minute.

Small and fragile: the two properties that matter

Two properties of this system explain most of its practical relevance. It's small in capacity, and it's fragile.

Small

Working memory holds roughly three to four items at once — not the seven often quoted from older research (Cowan, 2001). That's a hard limit, and it doesn't increase much with training.

Give an athlete five simultaneous cues and four of them are gone.

Audit your own coaching against that number. A six-point briefing hands over more than the system can hold — and you don't control which points make the cut.

Experts do cheat the limit, but legally: they hold larger items, not more of them. A rehearsed set piece or a named combination is one chunk, not six.

Fragile

Prefrontal function is the first thing to degrade under sleep loss, stress, high arousal, hunger and fatigue. And it degrades before the athlete notices.

That's the mechanism behind our opening mystery: a plan that's obvious in a calm meeting room becomes unavailable in the last ten minutes of a match.

The plan didn't fail. The structure holding it went offline.

It also means the hours before competition count as load. Long travel, dense meetings and endless phone use draw on the same limited resource the contest is about to demand.

The arousal myth most coaches carry

The graph above corrects a very common coaching error, so it's worth studying carefully.

The idea that athletes have an optimal arousal level, and that the job is to find it, is only half right. The optimum depends heavily on what the task requires (Yerkes & Dodson, 1908).

A maximal deadlift and a squash rally don't share an optimum. One is simple, gross and well-learned; the other is precise, novel and decision-heavy from moment to moment.

So turning up the intensity in the changing room helps one and destroys the other. Same speech, opposite effects.

Six terms that unlock the rest

• Executive function. The set of processes that control and coordinate other mental processes in the service of a goal.
• Working memory. The ability to hold and manipulate a small amount of information over seconds. Capacity is roughly three to four chunks.
• Response inhibition. Suppressing an action that has already been prepared or is habitually triggered.
• Cognitive flexibility. Switching between rules, tasks or strategies when circumstances change.
• Cognitive load. The demand a task places on limited working memory. Once exceeded, performance collapses rather than degrading gracefully.
• Automaticity. The state in which a skill runs with minimal prefrontal involvement, freeing capacity for other things.

The free upgrade: automatise the basics

Here's the single most useful implication for coaching: decision-making ability can be improved without training decision-making at all.

If a footballer has to think about their first touch, they have no capacity left to read the field. Automatise the touch, and the same athlete appears to have become a better decision-maker.

Nothing about their prefrontal cortex changed. The demands on it did.

One-line recap: you can't buy a bigger controller, but you can shrink the job — every skill made automatic hands capacity back to the decisions that decide contests.

Before the deeper material, here's a researcher's introduction to what executive function is, with honest expectations about training it.

Advanced section: Capacity, chemistry, and the transfer problem

The three-factor structure of executive function

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Miyake and colleagues used confirmatory factor analysis to test whether executive function is one ability or several, and found a three-factor solution — inhibition, updating (working memory) and shifting (flexibility) — that were moderately correlated but separable (Miyake et al., 2000; Diamond, 2013). Later work by Miyake and Friedman suggested a common factor plus specific components, with the common factor being highly heritable (Friedman & Miyake, 2017).

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This matters practically because it means an athlete can be strong in one and weak in another. A fighter with excellent inhibition who does not bite on feints may nonetheless be poor at flexibility and unable to abandon a plan that is not working. Testing generically and prescribing generically will miss this. Observing which of the three fails under pressure in the sport is more informative than any battery.

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The heritability of the common factor is worth stating plainly because it sets realistic expectations. Executive capacity is substantially trait-like. What is trainable is the demand placed upon it and the strategies used to work within it, which is a more productive target than the capacity itself.

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Catecholamines and the inverted U at a chemical level

Arnsten’s work provides a mechanistic account of why prefrontal function has a narrow optimum. Prefrontal pyramidal neurons rely on recurrent excitation to hold information without external input. That recurrent activity is modulated by noradrenaline acting at alpha-2A receptors, which strengthens the signal, and by dopamine at D1 receptors, which reduces noise. Both have inverted-U dose-response curves (Arnsten, 2009).

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At low catecholamine levels, as in drowsiness or boredom, network activity is too weak to maintain a representation and attention wanders. At moderate levels the network holds information robustly. At high levels, as under acute stress, noradrenaline begins acting at lower-affinity alpha-1 and beta receptors and high dopamine at D1 suppresses firing, which effectively takes prefrontal cortex offline and shifts control to the amygdala, striatum and habitual pathways (Arnsten, 2009).

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That final point is the physiological version of what coaches call playing on instinct. Under high stress, control genuinely shifts to faster, less flexible systems. This is advantageous if the required response is well-learned and appropriate, and catastrophic if the situation requires a novel decision or a recently corrected technique. It is also why beta-blockade improves performance in some precision tasks: It blunts the peripheral and central noradrenergic surge that pushes the athlete past the peak.

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Sleep loss, mental fatigue, and the cost of holding a plan

Prefrontal function is disproportionately vulnerable to sleep restriction. Sustained attention, working memory updating and inhibitory control all decline measurably after a single night of five to six hours, and the deterioration accumulates across consecutive restricted nights (Van Dongen et al., 2003). Van Dongen and colleagues demonstrated that participants substantially underestimated their own impairment, which is the practically dangerous part: Athletes on restricted sleep report feeling adequate while performing worse (Van Dongen et al., 2003).

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Mental fatigue, produced by prolonged demanding cognitive work without physical work, has been shown to impair subsequent physical performance. Marcora and colleagues found reduced time to exhaustion in cycling after 90 minutes of a demanding cognitive task, with no difference in cardiorespiratory or metabolic variables but higher ratings of perceived exertion at the same power output (Marcora et al., 2009). Subsequent reviews have found the effect on endurance performance to be reasonably consistent and the effect on maximal strength small or absent, with skill and decision-making measures showing the largest impairments (Van Cutsem et al., 2017).

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The applied version is that pre-competition cognitive load is a legitimate programming variable. Long travel, dense meetings, extended video sessions, phone use in the hours before an event and stressful logistics all draw on the same limited resource that the competition itself requires.

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The transfer problem: Why brain training disappoints

Computerised cognitive training reliably improves performance on the trained task, transfers moderately to very similar tasks, and transfers weakly or not at all to distant outcomes. Melby-Lervåg and Hulme’s meta-analyses of working memory training found reliable short-term gains with little evidence of far transfer to fluid intelligence or academic performance (Melby-Lervåg & Hulme, 2013). Simons and colleagues reviewed the commercial brain-training literature and reached a similar conclusion (Simons et al., 2016).

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Sport-specific evidence is more mixed and more encouraging where the training preserves the perceptual information of the sport. Video-based anticipation training using real opponents, temporal occlusion and sport-specific decision scenarios has produced transfer to on-field performance in several controlled studies, particularly in racket sports and in goalkeeping (Williams & Ford, 2008; Jordet, 2005). The plausible reason is that the trained representation includes the actual cues, rather than an abstract analogue of them.

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The practical rule that follows is uncomfortable for the industry and useful for coaches: The more a cognitive training tool looks like a general-purpose game and the less it looks like the sport, the weaker the expected transfer. Money spent on lights and tablets is usually better spent on structured small-sided games with manipulated information.

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Reducing load rather than expanding capacity

If capacity is largely fixed and fragile, the productive lever is demand. Four mechanisms reduce prefrontal load without training prefrontal cortex.

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• Automatisation. Every skill moved from cortical to striatal control frees capacity. This is the single largest available effect and it is achieved through ordinary technical practice, as covered in 5.14 and 5.24.
• Chunking. Expert performers do not hold more items; they hold larger items. Chase and Simon showed this in chess, and the same applies to a rehearsed set piece or a named combination (Chase & Simon, 1973).
• Rule simplification. Two clear if-then rules outperform six nuanced principles under pressure, because the athlete can actually hold two.
• Pre-commitment. Deciding in advance what to do in a specified situation removes the decision from the moment. This is implementation intention, covered in 5.15, and it works precisely because it offloads prefrontal work to memory retrieval.

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Each of these is a coaching decision rather than a technology purchase, which is why the practical section below is mostly about instruction design.

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Reading executive function claims critically

Three specific cautions are worth carrying. First, correlational studies showing that elite athletes score higher on executive function tests cannot establish direction: Better executive function may cause athletic success, athletic success may develop executive function, or both may be caused by something else. Vestberg and colleagues found associations between executive function scores and later footballing success, and the design cannot rule out selection (Vestberg et al., 2012).

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Second, many sport cognition products are validated only against their own metrics. Improvement on a reaction light board is not evidence about sport performance. Ask what the transfer measure was and whether the control group was doing something equally novel.

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Third, be sceptical of claims that a supplement improves executive function in healthy, well-fed, well-rested people. The clearest effects in the literature are for correcting deficits: Sleep, iron, B12, and in some cases creatine under sleep deprivation or in vegetarians. Article 5.20 covers this in detail.

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Practical section: Designing for a small, fragile controller

1. Give at most two cues, and one is better. Working memory holds three to four chunks and the movement itself occupies some of them. Additional cues do not add information; they displace it.
2. Match arousal to task complexity rather than to the athlete. Raise it for gross, well-learned, maximal efforts. Lower it for precise, novel or decision-heavy tasks. The same athlete needs different states on the same day.
3. Automatise fundamentals relentlessly. This is the highest-yield intervention for apparent decision-making, and it requires nothing but ordinary technical practice done consistently.
4. Use if-then pre-commitments for recurring decisions. If the ball goes wide, I take the near post. If the bar stalls, I finish the rep and stop the set. Decisions made in advance do not cost anything in the moment.
5. Protect the pre-competition window from cognitive load. Reduce meetings, travel complexity, screen time and logistical decisions on the day. Mental fatigue reliably raises perceived exertion.
6. Treat sleep as a performance variable rather than a recovery variable. A single restricted night measurably impairs inhibition and working memory, and the athlete will not notice.
7. Train flexibility by changing the rules mid-task. Small-sided games with an unannounced constraint change are far better than switching tasks between drills.
8. Choose sport-specific perceptual training over generic cognitive games. If the tool does not contain the actual cues of your sport, expect the transfer to be small.

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A note on how to detect prefrontal failure in practice. Look for three specific signatures. The athlete performs the skill correctly in isolation and incorrectly in context, which indicates load exceeding capacity. The athlete repeats an unsuccessful strategy, which indicates a flexibility or value-updating failure. The athlete makes committed errors early rather than late in a contest, which points to arousal being above the optimum rather than fatigue.

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A note on what not to do. Do not respond to poor decisions by adding information. The instinct is to explain more, show more video and give more principles, and the effect is to increase load on the system that is already saturated. The correct response is usually to remove options, simplify rules and automatise the underlying skills.

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Sport applications

In invasion team sports the load argument dominates. A midfielder who has to control the ball with attention has no capacity left for scanning. Studies of scanning frequency in elite football show that better players look up more often before receiving, which is only possible when the touch itself is free. This is why technical automaticity and tactical intelligence are not separate development streams.

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In racket and combat sports the arousal curve is decisive. These are among the most decision-dense sports and therefore have the lowest optimal arousal. Aggressive pre-contest hype, common in strength and collision sports, is actively counterproductive here.

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In strength and throwing sports the opposite applies. The task is gross, well-learned and maximal, so the optimum sits high and prefrontal involvement can be minimal or even unhelpful. This is why elite lifters use a fixed, minimal, rehearsed cue rather than a technical checklist.

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In endurance sport mental fatigue is the practically important finding. Arriving at a race after a demanding cognitive day raises perceived exertion at the same power output, which changes pacing decisions before it changes physiology.

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In shooting, archery and golf putting, precision under low arousal is required, and this is the domain where beta-blockers have demonstrable effects and are banned in some sports for that reason. The legitimate alternative is breathing and routine work, which lowers noradrenergic drive without pharmacology.

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Common mistakes

• Giving multiple cues at once. Capacity is three to four chunks including the movement. The fourth cue deletes the first.
• Using one arousal strategy for the whole team. The optimum depends on the task each athlete is about to perform, not on the sport as a whole.
• Responding to poor decisions with more information. This increases load on the saturated system. Remove options and simplify instead.
• Buying generic cognitive training and expecting transfer. Far transfer is weak. Tools that contain the real perceptual cues of the sport perform much better.
• Treating sleep as optional if the athlete feels fine. Self-assessment of sleep-related impairment is unreliable, and inhibition and working memory decline before awareness does.
• Loading video and meetings close to competition. Cognitive work draws on the same limited resource the contest needs, and raises perceived exertion.
• Training flexibility by switching drills. Flexibility is switching within a task. Change the constraint mid-game instead of changing the game.
• Reading elite executive function scores as causal. Cross-sectional associations cannot separate development from selection.

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Coaching cues

• One cue. If you need two, the first one is not automatic yet.
• Loud and heavy for the deadlift, quiet and calm for the free throw.
• Decide the if-then before you need it.
• Protect the two hours before competition from decisions.
• When they are making poor choices, take options away rather than adding explanations.
• Change one rule mid-game without announcing it.
• If they can do it alone but not in the game, the problem is load, not technique.

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FAQs

Can I train my working memory to be bigger?

You can improve performance on working memory tasks with practice, and there is little evidence that the underlying capacity increases or that the gains transfer to unrelated abilities. Meta-analyses of working memory training find reliable near transfer and weak far transfer. The practically useful alternative is to reduce the demand: Automatise skills, chunk information and pre-commit to decisions.

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Why do I play worse when I try harder?

Because trying harder often means raising arousal and increasing conscious control, and both can be counterproductive for skills that are already automatic. High arousal pushes prefrontal function past its optimum, and conscious attention to a well-learned movement disrupts it, an effect described as reinvestment or explicit monitoring. The remedy is usually an external focus on the outcome rather than the body, plus a routine that lowers arousal.

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Is mental fatigue real or just an excuse?

It is real and measurable. Prolonged demanding cognitive work reduces endurance performance and increases perceived exertion at matched workloads, impairs decision accuracy and skill execution, and has little effect on maximal strength. It is a specific, well-replicated phenomenon rather than a general claim about tiredness.

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Do reaction light training systems improve executive function?

They improve performance on the device, and there is limited controlled evidence of transfer to sport-specific decision-making. The mechanism problem is that they present arbitrary stimuli with no advance information, whereas sport decisions depend on reading sport-specific cues. As a warm-up or a fun conditioning tool they are fine. As a decision-training investment they are hard to justify against structured small-sided games.

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How much does one bad night of sleep actually cost?

Measurably. Restriction to around five to six hours for a single night produces detectable declines in sustained attention, inhibitory control and working memory updating, with larger effects across consecutive nights. Physical maximal strength is relatively preserved for the first night or two, while skill, decision-making and perceived exertion are affected earlier. Article 5.17 covers the dose-response in more detail.

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Should I use caffeine to protect executive function?

Caffeine reliably reverses the effects of sleep deprivation and low arousal on vigilance and reaction time, and it does not clearly improve executive function in rested individuals. Because prefrontal function has an inverted-U response to catecholamines, a large dose in an already highly aroused athlete before a decision-heavy task can plausibly make things worse. Use it to correct a deficit rather than to add on top of an optimum.

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Is choking a prefrontal problem or a habit problem?

Both, and the interaction is the point. Under high stress, catecholamine levels push prefrontal cortex past its optimum and control shifts to habitual systems. If the required action is well-learned and correct, that shift helps. If the athlete has recently changed technique, or the situation requires a novel decision, the shift produces the old pattern or a rigid response. Article 5.3 covers the applied management.

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Recommended videos

Each video below was chosen because it covers a specific part of this article in more depth than text alone allows.

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Related reading on FitXplor

• 5.3 Attention, Arousal, and Performing Under Pressure
• 5.24 The Basal Ganglia: Action Selection, Gating, and Vigour
• 5.15 Behaviour Change: From Intention to Automaticity
• 5.21 The Cerebral Cortex: Lobes, Layers, and Functional Organisation
• 5.4 Confidence, Self-Efficacy, and Competition Preparation

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References

Arnsten, A. F. T. (2009). Stress signalling pathways that impair prefrontal cortex structure and function. Nature Reviews Neuroscience, 10(6), 410–422.

Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014). Inhibition and the right inferior frontal cortex: one decade on. Trends in Cognitive Sciences, 18(4), 177–185.

Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4(1), 55–81.

Cowan, N. (2001). The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114.

Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168.

Friedman, N. P., & Miyake, A. (2017). Unity and diversity of executive functions: individual differences as a window on cognitive structure. Cortex, 86, 186–204.

Marcora, S. M., Staiano, W., & Manning, V. (2009). Mental fatigue impairs physical performance in humans. Journal of Applied Physiology, 106(3), 857–864.

Melby-Lervåg, M., & Hulme, C. (2013). Is working memory training effective? A meta-analytic review. Developmental Psychology, 49(2), 270–291.

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex frontal lobe tasks. Cognitive Psychology, 41(1), 49–100.

Van Cutsem, J., Marcora, S., De Pauw, K., Bailey, S., Meeusen, R., & Roelands, B. (2017). The effects of mental fatigue on physical performance: a systematic review. Sports Medicine, 47(8), 1569–1588.

Van Dongen, H. P. A., Maislin, G., Mullington, J. M., & Dinges, D. F. (2003). The cumulative cost of additional wakefulness: dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep, 26(2), 117–126.

Vestberg, T., Gustafson, R., Maurex, L., Ingvar, M., & Petrovic, P. (2012). Executive functions predict the success of top-soccer players. PLoS ONE, 7(4), e34731.

Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. L. (2016). Do “brain-training” programs work? Psychological Science in the Public Interest, 17(3), 103–186.

Williams, A. M., & Ford, P. R. (2008). Expertise and expert performance in sport. International Review of Sport and Exercise Psychology, 1(1), 4–18.

Jordet, G. (2005). Perceptual training in soccer: an imagery intervention study with elite players. Journal of Applied Sport Psychology, 17(2), 140–156.

Yerkes, R. M., & Dodson, J. D. (1908). The relation of strength of stimulus to rapidity of habit-formation. Journal of Comparative Neurology and Psychology, 18(5), 459–482.

Kandel, E. R., Koester, J. D., Mack, S. H., & Siegelbaum, S. A. (Eds.). (2021). Principles of Neural Science (6th ed.). McGraw Hill.