The Bottom-Up Athlete

A Note on Scope and Scientific Standing This essay sits at the intersection of established neuroscience and a frontier hypothesis. What is well-supported in the literature, including the plasticity mechanisms underlying non-invasive brain stimulation, the network architecture of the default mode network, the neuroplastic signatures of long-term athletic training, and the relationship between identity rigidity and psychological health, is treated accordingly. Where the evidence is directional but not yet definitive, particularly the claim that neuromodulatory training reliably produces a durable, competition-general perceptual shift in athletes, the essay says so plainly. The reader will find a coherent argument that moves from mechanism to ethics to applied implication, with the ambition to take the science seriously rather than selectively. Nothing here constitutes clinical advice, and no portion of this work should be read as a recommendation to pursue any specific intervention outside of appropriate medical supervision.

I. What Neuromodulation Actually Does

Neuromodulation in sport is best understood as a plasticity primer. Non-invasive stimulation can shift cortical excitability and facilitate LTP-like plasticity, but these effects depend entirely on concurrent or repeated task engagement. Stimulation does not build skill independently of training, and the evidence for large real-world competitive enhancement, while promising, remains heterogeneous (Qi et al., 2024; Drewko, Habets and Brunt, 2025; Holgado et al., 2024). That distinction matters because a compound that raises hematocrit or forces a hormonal state does its work regardless of what the organism does. Neuromodulation works only with activity, because the underlying mechanism is NMDA-dependent, BDNF-dependent synaptic potentiation triggered by activity-linked signaling (Fritsch et al., 2010; Barbati et al., 2019).

In mouse motor cortex, direct current stimulation induced long-lasting synaptic potentiation that was polarity-specific, NMDA receptor-dependent, and required coupling with repetitive synaptic activation, with BDNF and TrkB signaling as necessary mediators (Fritsch et al., 2010). Repeated anodal tDCS enhanced glutamatergic transmission and plasticity-related signaling in motor cortex, with nitric oxide acting as one additional mediator, reinforcing that stimulation biases endogenous plasticity rather than creating a new biological state (Barbati et al., 2019). In human training studies, multisession motor-cortical stimulation facilitated skill acquisition relative to sham, though complex multifocal protocols did not clearly outperform simpler M1 stimulation, suggesting the additive value lies in accelerating learning, not in changing what learning is (Wessel et al., 2021). Single-session tDCS has been shown to help participants reach a skill target faster during acquisition, though gains have not always persisted at retention, consistent with a rate-of-learning effect rather than a distinct form of skill creation (Kunaratnam et al., 2022).

Sport-specific performance effects are real but require calibrated framing. One three-level meta-analysis found a small overall effect of tDCS on sport-specific performance, with larger effects in open-skill sports and when targeting motor-executive regions, though overall evidence quality was rated low (Wang et al., 2026). A separate meta-analysis of anodal tDCS in high-level athletes reported a moderate overall effect, with M1 stimulation showing the most consistent gains (Maudrich et al., 2022). A broader meta-analysis of acute anodal tDCS on athletic performance found moderate positive effects, particularly for endurance and open-skill contexts (Jiang, Liu and Gao, 2025). That positive picture weakens when publication bias is addressed: an umbrella review covering nine meta-analyses and 50 crossover studies found that the average effect became non-significant after correcting for bias, with plausible analytic choices shifting the final estimate from negative to modestly positive (Holgado et al., 2024). The honest synthesis is that neuromodulation can facilitate training conditions and sometimes improve domain-specific performance; large, reliable real-world competitive enhancement is not yet firmly established.

Athlete development itself is a model of long-horizon neuroplasticity. Intensive motor learning produces distributed microstructural changes across corticospinal, cerebellar, hippocampal, and thalamo-cortical pathways, with myelin-related contributions and behaviorally relevant white-matter remodeling (Aye et al., 2026; Azzarito et al., 2023; Lakhani et al., 2016). Long-term training specializes neural circuits in sport-specific directions rather than simply raising global brain function: open-skill athletes show higher global efficiency and shorter neural path length, elite volleyball athletes show stronger visual-to-sensorimotor connectivity, and gymnasts show decreased network flexibility consistent with highly consolidated motor patterns (Pi et al., 2019; Zhang et al., 2024; Cao et al., 2025). Musicians and athletes also show enhanced responsiveness to plasticity-inducing rTMS relative to non-experts, suggesting training history and neuromodulatory responsiveness interact: the trained brain is a more receptive substrate (Kweon et al., 2023). What neuromodulation offers, understood precisely, is an adjunct to this developmental arc, not a replacement for it (Christiansen et al., 2020; Williams and Hodges, 2023; Ericsson, 2019).

II. The Ethics Are In The Structure

The ethical debate around neuromodulation in sport is active and unresolved. Reviews consistently raise unresolved fairness, access, autonomy, and regulatory concerns (Deng et al., 2025; Seidel-Marzi and Ragert, 2020; Petersen, 2021). Access inequality is a legitimate problem: non-invasive brain stimulation requires expensive equipment, specialist oversight, and well-resourced training environments, which can advantage athletes in better-funded settings and potentially widen structural inequality (Tosti et al., 2024). Some authors argue neuro-doping does not yet present a serious threat because evidence for large real-world enhancement remains limited; others argue the WADA framework needs sport-specific reform to address cognitive enhancement as a distinct category; others argue tDCS could already meet prohibition criteria under a broad reading of current rules (Møller and Christiansen, 2020; Au, 2022; Pugh, 2020). The debate is not closed.

What the literature does converge on is the mechanistic distinction that separates neuromodulation from pharmacologic doping. Several authors note that non-invasive stimulation modifies endogenous neural processes rather than introducing a foreign substance: it operates within the organism's own biological machinery (Colzato, Nitsche and Kibele, 2017; Tosti et al., 2024). The fairest synthesis is that neuromodulation is ethically different in kind from classic doping, but not ethically uncomplicated (Kamali et al., 2021; Gazerani, 2017). One underweighted point: neuro-enhancement cannot be detected with a standard biomarker assay. No blood panel distinguishes a neuroplastic state developed through supervised training from one that emerged through years of deliberate practice (Gazerani, 2017; Pugh, 2020). That is not a loophole. It is a structural feature of the category, one that makes any prohibition framework inherently difficult to design and enforce.

High-efficacy non-invasive stimulation at therapeutically meaningful parameters requires a licensed physician, a Class II FDA-cleared device, documented clinical assessment, and ongoing practitioner oversight (Huang et al., 2017). The access chain is a sequence of licensed professionals, each operating under independent clinical and ethical obligations, each generating records of the therapeutic rationale and treatment history. The clinical infrastructure does not resolve the access inequality problem: it frames the problem correctly. Access inequality is an argument for expanding equitable supervised infrastructure, not for suppressing the technology. The athlete who pursues this through a responsible clinical pathway arrives at competition not with a concealed advantage but with a documented course of medical care. That is what responsible clinical practice produces as a matter of course. Training that consistently reduces DMN hyperactivity and self-referential overengagement measurably reduces anxiety, rumination, and performance-disrupting self-monitoring (Tosti et al., 2024; Corrado et al., 2024; Chou et al., 2023). Mindfulness-based training, the closest available empirical analogue, has shown medium-to-large reductions in competitive anxiety and improvements in self-confidence in athletes (Wang et al., 2024), alongside improvements in flow, resilience, and performance while reducing sports anxiety, depression, and fatigue (Zhang et al., 2025). The individual who undergoes this training is, measurably, more present and less anxious than before.

III. The Brain The Athlete Brings

Before any protocol is applied, the athlete arrives carrying a complete developmental history. Every environment absorbed, every competitive moment that shaped expectation, every skill attempted and failed: all of it encoded not as memory but as prior. Long-term priors built through repeated exposure become embedded in the weighted connections of hierarchical predictive circuits, shaping perception-action coupling, response tendencies, and the field of affordances available during performance (O'Brien, Kennedy and O'Keeffe, 2023; Ribeiro et al., 2021; Harris et al., 2022). What a person has lived becomes, gradually and thoroughly, what they expect the world to offer. The Default Mode Network is the primary substrate through which accumulated experience is organized and maintained. It retrieves and consolidates autobiographical memory, constructs and re-evaluates the personal narrative that locates a person in time and social context, and through that ongoing self-construction generates the predictive model that meets incoming sensory data (Menon, 2023; Yeshurun, Nguyen and Hasson, 2021). Core self-related DMN regions, medial prefrontal and posterior cingulate cortex in particular, show specialized engagement during self-appraisal and the integration of incoming information with prior knowledge over long timescales (Davey, Pujol and Harrison, 2016). The DMN is not mere mind-wandering. It supports task-relevant processing, semantic integration, and what has been called adaptive autopilot: the automated, efficient guidance of behavior in familiar contexts (Vatansever, Menon and Stamatakis, 2017; Lanzoni et al., 2020; Buckner and DiNicola, 2019). The DMN is better understood as a sense-making system than as a source of interference, which means the goal of training is not to eliminate it but to expand the range within which the athlete can flexibly move between self-referential and externally engaged modes.

An important qualification from the anticipation literature: the model is not a simple binary between prediction-dominant and raw-reality processing. Under time pressure, expert athletes shift toward more top-down strategies rather than pure sensory-direct processing (Lu et al., 2025). Expert basketball players rely more on kinematic information while non-athletes show greater sensitivity to prior cues, suggesting expertise involves more accurate cue-weighting rather than the abolition of prediction (Wang et al., 2025). The better-supported model is flexible cue-weighting: elite performance depends on dynamically reweighting priors and sensory evidence according to context, available information, and uncertainty (Harris et al., 2022; Gredin et al., 2020). What neuromodulatory training develops is not the elimination of predictive processing, which serves real adaptive functions, but an expansion of the athlete's capacity to move fluidly across a wider operating range.

IV. What Changes When The Filter Loosens

The thalamus functions as the brain's primary sensory checkpoint. The cortico-striato-thalamo-cortical loop governs how much raw sensory information passes through to cortical processing, and this gating function can be modulated by stimulation in ways that affect sensory-network connectivity and cortical communication (Shepherd and Yamawaki, 2021; Morya et al., 2019). The brain has endogenous mechanisms for this switching: the anterior insular cortex suppresses DMN activity in response to salient external stimuli, meaning the transition between self-referential and externally engaged processing is a built-in biological capacity, not a foreign override (Chao et al., 2023). Neuromodulatory training develops and expands this endogenous capacity rather than circumventing it. The claim that this training reliably produces a durable, competition-general perceptual state in athletes remains the leading edge of current evidence rather than an established finding. The full mechanism has not yet been directly demonstrated in competitive athlete populations at scale (Smallwood et al., 2021). What the evidence does support is the directional principle: training that reduces DMN overactivation during sensory demands creates conditions in which more environmental data reaches cortical processing, and athletes trained under those conditions show measurable and durable sport-specific sensory and network adaptations (Pi et al., 2019; Zhang et al., 2024; Yamashiro et al., 2021). The closest the literature has come to directly describing the experiential signature of this state is the flow literature: enhanced functional connectivity between the DMN and executive control network during flow states appears to facilitate creativity and emotional regulation, suggesting that what athletes describe as full immersion in competition has a measurable neural network basis (Barnett and Vasiu, 2026).

What athletes who train in reduced self-referential states describe is an opening of the visual field: not wider in the literal optical sense, but a shift from narrow attentional tunneling toward a spatial awareness that encompasses the full competitive environment simultaneously. Objects carry more contrast and depth. Spatial relationships register more accurately because stereoscopic computation runs at fuller resolution rather than being smoothed by top-down compression. This tracks with the shift in posterior parietal cortex processing from egocentric to allocentric spatial mapping, from a reference frame anchored to the body as origin toward processing the environment as a spatial system the body inhabits without anchoring (Gredin et al., 2020; Harris et al., 2022). The athlete stops navigating from a fixed observational point and begins operating within a geometry that is fully present to the nervous system at once. Reduced self-referential commentary over sensory experience produces a quieter processing context during performance. The network responsible for the replay of prior errors, the anticipatory modeling of failure, and the metabolic cost of maintaining a self-concept under competitive pressure recedes from active interference with present-moment sensory input (Menon, 2023; Chou et al., 2023). Motor responses organized around actual physical data arrive more quickly because fewer resources are committed to reconciling that data with a maintained self-narrative. Gravity registers as a vector through proprioception. Momentum is a physical fact the nervous system calculates before the conscious mind has organized it into thought. These effects are trainable, and the neuroplastic changes that produce them outlast individual sessions because they operate through excitability and synaptic plasticity mechanisms, particularly when paired with behaviorally relevant task engagement (Huang et al., 2017; Fritsch et al., 2010). Over a training period, consistent work to develop flexible cue-weighting begins to shift the default perceptual architecture, not by eliminating self-referential processing, which serves essential biological functions, but by revising the system's default balance between prediction and incoming data (Harris et al., 2022; Sterzer et al., 2018). The athlete carries a more open perceptual context into competition because accumulated neuroplastic changes have revised the system's baseline operating point.

V. What The Same Mechanism Does Off The Field

The training mechanism described above, reduced self-referential filtering, more flexible perceptual processing, and expanded capacity to update from incoming information, does not stay contained to sport. The nervous system that navigates a field also navigates a household, a relationship, a career, and a community. Whether the structural changes produced in one domain transfer to the other is a question the evidence answers genuinely but requires careful calibration.

The identity-rigidity finding is the strongest and most thoroughly supported part of this argument. Narrow, exclusive athletic identity is consistently linked to worse adjustment when sport participation is disrupted or ends (Brewer and Petitpas, 2017; Haslam et al., 2024). Retired athletes with more exclusive athletic identities describe deeper identity loss and more difficulty rebuilding meaning after sport ends; loss of athletic identity undermines adjustment by reducing meaning in life and perceived control, while maintained or newly gained group memberships, through family, friendship, and work, buffer that effect (Haslam et al., 2024; Haslam et al., 2021). In adolescent female athletes, high athletic identity was associated with greater generalized anxiety, social phobia, and depression among the most specialized athletes (Clark et al., 2025). Broader reviews converge on the same pattern: better outcomes involve a more well-rounded sense of self developed before transition, and retirement adjustment improves when athletes can reconnect with pre-existing groups and gradually make sport identity less central without erasing it (Voorheis, Silver and Consonni, 2023; Zhang et al., 2025). Psychological flexibility is the key moderating variable: athletic identity predicted growing emotional exhaustion only among athletes with low flexibility, while the association reversed among those with high flexibility (Chang et al., 2018). The self-referential mechanism supports the broader argument directionally. DMN activity and DMN-related coupling are associated with rumination, particularly for negative self-referential material (Chou et al., 2023; Hamilton et al., 2015). Mindfulness training shifts individuals from narrative self-focus toward present-centered experiential awareness, with reduced activation in overactive self-referential brain regions, alongside reduced anxiety and higher self-esteem (Lin et al., 2018; Goldin et al., 2009). Non-attachment to self in athletes is associated with greater well-being and self-actualization (Lewis et al., 2022). Social cognition depends on this same mechanism: accurate modeling of another person requires updating predictions about them against incoming behavioral data rather than confirming a stored social model (FeldmanHall and Shenhav, 2019). The athlete who has trained the capacity to receive information without routing it through a defensive self-model carries that capacity off the field, because it is a property of the same nervous system.

The direct claim that sport-based bottom-up perceptual training produces better parenting, partnership, or community function remains largely untested. That step is interpretive rather than established, and this essay presents it as such. Life-skills transfer from sport does occur, but it is neither automatic nor universal: it depends on learning processes, explicit coaching structures, and opportunities to apply skills across contexts (Jacobs and Wright, 2018; Newman et al., 2021; Pierce et al., 2017). What is established is this: training that develops psychological flexibility, reduces identity rigidity, and reduces self-referential overengagement produces better outcomes for the athlete as a human being, and those outcomes are well-documented across athletic identity, transition, and mindfulness literatures. The brain the athlete brings to training carries decades of encoded prior beliefs, every assumption about what the world offers, encoded as structural prediction. Under heavily prediction-weighted processing, accumulated experience hardens into expectation and the person stops meaningfully updating from new information. New experience is routed through the existing model and used to confirm it. Under trained perceptual flexibility, the same prior becomes available for revision. The distinction between accumulating experience and learning from experience is precisely this: learning requires that prediction errors generated by new information be allowed to update the prior rather than be suppressed to protect it (Harris et al., 2022; Sterzer et al., 2018). That applies on the field. It applies with equal precision to every other domain of a human life.

VI. The Broader Athletic Landscape

Scale this training paradigm across a population and the implications move beyond individual development. The current model for identifying elite athletic talent is largely a model for identifying individuals whose prediction-to-result ratio is naturally efficient, athletes whose nervous systems process competitive environments with minimal lag between sensory input and accurate response. Long-term training already produces sport-specific perceptual and network adaptations that partially explain this advantage: open-skill athletes show higher global efficiency and shorter neural path length, elite athletes demonstrate modality-specific sensory processing advantages, and high-level training produces measurable resting-state network specialization that scales with training history (Li and Smith, 2021; Kweon et al., 2023; Yamashiro et al., 2021; Yan et al., 2025). Much of what presents as natural talent is, at least in part, a history of training that shaped the nervous system in a particular direction.

As bottom-up perceptual training becomes clinically supervised and consistently available, the structural access gap narrows. Athletes whose native perceptual architecture runs prediction-heavy, who have always had physical capacity but whose nervous systems filtered too aggressively for that capacity to express itself reliably under pressure, gain access to a training pathway that addresses the limiting variable directly. The neuroplastic reorganization that results is real, durable, and encoded in the athlete's nervous system through its own biological machinery (Dayan and Cohen, 2011; Lakhani et al., 2016). This is the democratic argument for the technology: equitable access to supervised neuromodulatory training would not manufacture athletes who are not there. It would allow athletes who already are there to perform at the level their nervous system is capable of.

As this training extends across a competitive population, the competitive environment evolves. Deception in sport works partly by exploiting how observers commit to predicted trajectories too early: prior information can actually worsen performance when an action is deceptive, by biasing the starting point of evidence accumulation away from the true trajectory (He et al., 2025; Williams and Jackson, 2019). Athletes with expanded cue-weighting flexibility, capable of updating rapidly from sensory data rather than committing prematurely to a stored prediction, are less vulnerable to this exploitation. Perceptual-cognitive training reliably improves anticipation and decision-making in controlled tasks, though transfer to live competition is smaller and protocol-sensitive, with real-game effects generally lower than laboratory gains (Zhu et al., 2024). The gap between laboratory performance and competitive outcome is the precise space that longitudinal, ecologically valid training programs built around neuromodulatory support are positioned to close. The tactical layer beneath deception, spatial organization, positional intelligence, and energy management, becomes the primary competitive variable as anticipation advantages narrow. Coaching evolves accordingly: systems thinking, real-time adaptive decision-making, and spatial fluency become the disciplines that matter. The regulatory landscape will continue to develop around all of this. Non-invasive brain stimulation carries no prohibited status under the WADA framework, and authors genuinely disagree on whether it meets prohibition criteria (Gazerani, 2017; Pugh, 2020; Møller and Christiansen, 2020). What will emerge regardless of that debate's resolution is a framework built around practitioner certification, protocol transparency, and clinical documentation, which is, structurally, what responsible neuromodulatory care already produces. The athlete who approaches this with established clinical relationships, thorough therapeutic documentation, and a training system built around intentional perceptual development is operating at the edge of what has been mapped. The sport culture that emerges from this paradigm is populated not by athletes performing within a fixed performance identity, but by individuals developing in a fuller direction, whose training mechanism is simultaneously the mechanism of their maturation as people. What they develop on the field is a nervous system trained toward flexibility, toward genuine contact with what is actually happening rather than what was predicted. That capacity does not stay at the stadium. It carries into the households they return to, into the communities that watch them, and into the young athletes who study their example, not just for technique, but for the quality of person the training produced. Confidential Intellectual Property · Not for Redistribution Jay Lee · Hickson Endeavours & Co.

Key Frameworks/Ideas

The Bottom-Up Athlete (official) - A system where neuromodulation acts as a plasticity primer that amplifies training-driven plasticity, and where bottom-up perceptual training builds sensory-driven flexibility, allowing rapid updating of predictions. It enables better performance and personal development both on and off the field.

Mechanism of Human Maturity - Long-horizon neuroplastic remodelling resulting from intensive motor learning that produces distributed microstructural changes across corticospinal, cerebellar, hippocampal, and thalamo-cortical pathways. Enhancing this mechanism yields broader life-skill benefits and healthier identity development.