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From Striatum To Prescription: An Evidence-Based And Bayesian Framework For Neuromotor Rehabilitation in Parkinson's Disease

Submitted:

17 July 2026

Posted:

22 July 2026

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Abstract
Parkinson’s disease (PD) involves progressive basal ganglia dysfunction, with hyper-excitability of striatal indirect-pathway D2 medium spiny neurons (D2-MSNs) linked to motor impairment. Neuromotor rehabilitation is an important therapy, but its efficacy varies across interventions. This thematic review integrates neurobiological mecha-nisms and clinical evidence across diverse rehabilitative strategies in PD, including voluntary and forced exercise, high-intensity interval training (HIIT), treadmill and re-sistance training, Tai Chi and dance, Lee Silverman Voice Treatment BIG (LSVT BIG), repetitive transcranial magnetic stimulation [rTMS], transcranial direct current stimu-lation [tDCS]), exoskeleton-assisted training, augmented reality-based interventions (AR), multimodal cueing, and dual-task paradigms. These approaches are unified by striatal indirect-pathway recalibration as the main mechanism underlying rehabilitation efficacy in PD. To formalize evidence integration, a Bayesian ranking framework is proposed, combining neurobiological plausibility with clinical evidence quality. Ap-plied to eleven interventions, this framework identifies three functional clusters: a high-recalibration cluster including forced exercise (posterior probability P ≈ 0.80) and LSVT BIG (P ≈ 0.62); an intermediate uncertainty cluster comprising rTMS, HIIT, tDCS, treadmill, resistance training, and Tai Chi/dance (0.40 ≤ P ≤ 0.56); and a low-recalibration or compensatory bypass cluster including AR, exoskeletons, and dual-task training (P ≤ 0.33). This framework highlights an epistemic distinction between interventions that may directly modulate basal ganglia circuitry and those that primarily recruit alterna-tive motor networks, including the lateral premotor cortex, parieto-premotor circuits, and cerebello-thalamo-cortical pathways, supporting a precision rehabilitation ap-proach in PD.
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1. Introduction

Parkinson’s disease affects more than ten million people worldwide and is projected to double in prevalence by 2040, making it the fastest-growing neurological pandemic of the contemporary era [1]. Progressive loss of dopaminergic neurons in the substantia nigra pars compacta and the resulting nigrostriatal insufficiency produce the classical motor triad, bradykinesia, rigidity, and resting tremor, compounded by postural instability, freezing of gait (FoG), and a rich non-motor symptom profile. Pharmacological therapy with levodopa and dopamine agonists remains the cornerstone of symptomatic management, but does not alter the neurodegenerative trajectory and progressively loses efficacy as the disease advances.
In this context, neuromotor rehabilitation has acquired over the past two decades a role that transcends simple functional compensation, emerging as a potentially neuromodulating and, in some animal models, neuroprotective intervention. The cellular mechanisms underlying these effects have been progressively elucidated. Converging evidence, ranging from the modulation of striatal D2 receptor expression by high-intensity treadmill exercise in the MPTP mouse model [2,3,4] to electrophysiological findings showing that aerobic exercise reduces beta-band power and D2-MSN firing frequency [5], has culminated in the causal evidence provided by Chen et al. [6] through chemogenetic inhibition and re-excitation of D2 medium spiny neurons (D2-MSNs). Their findings confirm a mechanism supported by nearly two decades of converging evidence. However, not all exercise is equivalent: the distinction between voluntary exercise and forced or supervised exercise emerges as the critical variable that determines access to these striatal recalibration mechanisms. Concurrently, a second therapeutic axis has emerged from neuroimaging research: parieto-premotor and cerebellar compensation, long regarded merely as a mere epiphenomenon of basal ganglia dysfunction, is now recognised as an active and potentiable mechanism in its own right. Johansson et al. [7] demonstrated that interindividual variability in motor symptom severity is determined by the degree of parieto-premotor compensation rather than by the extent of striatal dopaminergic loss; longitudinal data further indicate that the rate of bradykinesia progression tracks the decline of cortical compensation, not the progression of nigrostriatal dysfunction [8]. Non-invasive brain stimulation and digital technologies, exoskeletons, AR, multimodal cueing systems, operate precisely on this second axis, offering tools to amplify and direct compensatory plasticity. This review proposes that these two axes—striatal recalibration and cortical compensation—are not alternative but complementary targets of a precision rehabilitation strategy, and presents a Bayesian framework for integrating the evidence supporting each approach.
This thematic review aims to: Illustrate the cellular substrate of motor dysfunction in PD and its progressive elucidation through two decades of converging preclinical evidence; Exercise in PD: lower- and upper-limb exercise, and a critical analysis of the distinction between voluntary exercise (VE) and forced exercise (FE), highlighting their clinical and neurobiological implications; examining the evidence supporting upper-limb exercise as a model of systemic corticostriatal recalibration.; Discuss the role of non-invasive brain stimulation; Describe emerging rehabilitative technologies as tools for cortical compensation; finally Propose a Bayesian integrative framework for precision exercise prescription in PD that makes explicit the epistemic asymmetry between the two therapeutic axes.

2. Cellular Substrate of Motor Dysfunction and Its Modifiability

Motor control by the basal ganglia depends on the balance between two parallel pathways: the direct pathway (D1 medium spiny neurons [D1-MSNs]), which facilitate movement by inhibiting the internal globus pallidus (GPi) and substantia nigra pars reticulata (SNr), and the indirect pathway (D2 medium spiny neurons [D2-MSNs]), which inhibits movement by activating the subthalamic nucleus and thereby GPi/SNr. Under physiological conditions, dopamine exerts opposing effects on the two pathways, exciting the direct pathway via D1 receptors and inhibiting the indirect pathway via D2 receptors. This dynamic balance enables the selection of desired motor programs while suppressing competing ones [9,10].
In PD, dopaminergic depletion releases D2-MSNs from inhibitory modulation, generating pathological hyperexcitability of the indirect pathway, the so-called “neural brake”, which non-selectively suppresses motor output and generates bradykinesia, rigidity, and difficulty initiating movement. This D2-MSN hyperactivity is not merely a correlate of pathology but its principal mechanistic driver within the dopaminergic striatal system, as demonstrated with causal rigour by Chen et al. [6] in the 6-hydroxydopamine (6-OHDA) mouse model: chemogenetic inhibition of D2-MSNs fully recapitulated the motor benefit of treadmill exercise, while chemogenetic re-excitation of the same population abolished exercise-induced recovery.
Preclinical evidence from the past several years converges in indicating that physical exercise acts on this hyperexcitability through multiple molecular mechanisms: increased brain-derived neurotrophic factor (BDNF) expression and tropomyosin receptor kinase B (TrkB) receptor activation with subsequent Erk1/2 phosphorylation and cAMP response element-binding protein (CREB) activation in the nigrostriatum [11,12]; modulation of glial cell line-derived neurotrophic factor GDNF) expression with neuroprotective effects on residual nigrostriatal projections [13]; reduction of striatal neuroinflammation through down-regulation of CD11b/c (integrin alpha-M/integrin alpha-X) in macrophages and Iba1 in microglia [14]; reduction of alpha-synuclein oligomerisation [15]. Dopaminergic plasticity induced by voluntary exercise requires, however, intact striatal BDNF as a necessary and sufficient condition [16].

3. Exercise in Parkinson’s Disease: Lower and Upper Limbs

3.1. Lower Limbs: The Voluntary Versus Forced Distinction

The distinction between VE and FE was defined by Ridgel et al. [17]: patients with mild-to-moderate PD assigned to eight weeks of assisted cycling at a cadence 30% above their voluntary preferred rate (FE) showed a 35% reduction in Unified Parkinson’s Disease Rating Scale (UPDRS) motor scores and improved bimanual dexterity, while the VE group, matched for aerobic intensity, showed no motor benefit despite higher power output and heart rate. Alberts et al. [18] confirmed that FE superiority derives not from greater metabolic load but from the quality and density of proprioceptive afference generated by the imposed cadence. High-frequency input from muscle spindles, Golgi tendon organs, and joint mechanoreceptors drives intense corticostriatal glutamatergic activity that, in the dopamine-depleted striatum, normalises D2-MSN hyperexcitability through use-dependent synaptic plasticity, a mechanism causally confirmed by Chen et al. [6]. Available evidence indicates that the imposed cadence must exceed the patient’s voluntary rate by at least 30% to access this neuroplastic regime.

3.2. Upper Limbs: The Axial Declension of the Forced Paradigm

Forced exercise is not conceptually bound to cycling or the lower limbs. Any modality that imposes on the central nervous system a frequency of activation or a recruitment pattern superior to the patient’s voluntary capacity constitutes FE. Applied to the upper limbs and cervico-scapular girdle via biomechanically constraining devices, this paradigm generates high-density proprioceptive afference from cervical and scapular districts, areas with broad sensorimotor cortical representation, constituting a corticostriatal driver topographically distinct from lower-limb FE with potential to modulate postural and vestibular circuits not accessible via cycling alone [19].
Messa et al. [19] demonstrated, via functional magnetic resonance imaging (fMRI) with Arterial Spin Labeling and resting-state connectivity analysis, that 16 sessions of supervised upper-limb exercise with a specially designed mechanical device (in which the seated patient performed repeated shoulder abduction and adduction movements against a progressive load, with movement frequency and range biomechanically constrained beyond the patient’s voluntary capacity) produced significant increases in cerebral blood flow in primary motor cortex (M1), supplementary motor area, and cerebellar cortex, alongside corticostriato-cerebellar connectivity changes, with improvements in UPDRS-III and dynamic posturography extending to districts not directly trained. Ginanneschi et al. [20] replicated and extended these findings in a two-arm randomised controlled trial (RCT). The vestibular ratio of the Sensory Organization Test, which quantifies the capacity to rely on vestibular input for postural stability when visual and somatosensory cues are simultaneously absent or unreliable, improved significantly only in the supervised arm, while the somatosensory and visual SOT ratios remained unchanged in both groups. The same supervised protocol produced no measurable benefit in age-matched healthy controls. This dissociation cannot be explained by peripheral muscular or proprioceptive adaptations, which would be expected to occur equally in healthy subjects. Instead, it points to a disease-specific central recalibration that operates only in the presence of pathological indirect-pathway overactivity amenable to correction.

3.3. Critical Appraisal

Strengths. FE is the rehabilitative intervention in PD with the most robust neurobiological rationale and translational coherence across levels of analysis, cellular [6], neuroimaging and clinical [17,19,20]. The lower- and upper-limb paradigms are complementary: lower-limb FE accesses the sensorimotor circuits of gait; upper-limb FE accesses postural and vestibular networks with evidence of systemic cross-modal recalibration absent in healthy controls. The +30% threshold above voluntary cadence is operationally meaningful but self-defeating without supervision: unsupervised patients consistently fail to sustain it spontaneously, confirming that the supervised/forced distinction is not merely a protocol parameter but a necessary condition for accessing the neuroplastic regime.
Methodological limitations. Samples rarely exceed 20-30 patients per arm and follow-up rarely exceeds 8-12 weeks. All patients were on stable dopaminergic therapy under standardised on-medication assessment conditions, which reduces but does not eliminate the pharmacological confound. A second transversal bias is disease duration heterogeneity: samples are rarely stratified by degree of nigrostriatal depletion, which directly determines the D2-MSN substrate available for recalibration and therefore the expected magnitude of FE response.
Open questions: whether the D2-MSNs recruited by lower- and upper-limb FE are localized within distinct striatal territories; whether the therapeutic efficacy of FE is limited to a specific stage of the neurodegenerative process; and whether FE and levodopa interact in an additive, synergistic, or independent manner to promote striatal recalibration

4. Non-Invasive Brain Stimulation: rTMS and tDCS

Non-invasive brain stimulation fits into the framework of this review as a top-down modulator of the corticostriatal pathway: whereas FE acts bottom-up through proprioceptive afference, rTMS and tDCS act from above by modifying cortical excitability and the connectivity of corticostriatal projections. The rationale is convergent, but the strength of evidence is asymmetric, and this asymmetry deserves to be stated frankly.

4.1. Repetitive Transcranial Magnetic Stimulation (rTMS)

High-frequency rTMS on M1 and supplementary motor area (SMA) represents the neurostimulation intervention with the largest number of randomised controlled trials (RCTs) in PD. The increase in corticomotor excitability induced by high-frequency stimulation (5-25 Hz) reduces the suppression of motor output mediated by the hyperactive indirect pathway, acting complementarily to FE but via the descending pathway. Recent meta-analyses [21,22] confirm significant effects on bradykinesia and rigidity, with UPDRS-III improvements in the range of 10-20%. The multifocal bilateral approach with H-coil (Deep TMS), which simultaneously stimulates M1 and prefrontal cortex (PFC), is the only one to address in a single session both the motor and cognitive-executive components of PD [23]. Cerebellar rTMS represents an emerging area: the cerebellum, through the dentato-thalamo-cortical circuit, can indirectly modulate corticostriatal connectivity with promising but not yet consolidated effects on balance and gait.

Critical Appraisal of rTMS

Strengths. Largest evidence base among non-invasive neurostimulation techniques for PD; a neurobiological rationale consistent with the indirect-pathway model; and a multifocal approach with the potential to improve both motor and cognitive symptoms simultaneously.
Methodological limitations. Effect sizes are modest and interindividual variability is high. The heterogeneity of stimulation parameters across studies (including frequency, intensity, number of trains, target, and cycle duration) precludes the identification of an optimal protocol and limits the feasibility of direct comparisons. Convincing sham remains methodologically difficult. Duration of effects generally does not exceed 4-8 weeks from the end of the cycle, with relevant implications for clinical sustainability. It remains unclear whether rTMS acts predominantly by recalibrating the corticostriatal pathway or by compensating via alternative pathways, the same conceptual distinction that discriminates FE from cueing.
Open questions. Adequately powered RCTs directly comparing rTMS and FE, or testing their sequential combination (rTMS as “priming” of cortical plasticity before FE), are lacking. The interaction with dopaminergic therapy, in particular the optimal temporal window relative to levodopa administration, has not been systematically studied.

4.2. Transcranial Direct Current Stimulation (tDCS)

Anodal tDCS on M1 increases cortical excitability and normalises dysfunctional cortical connectivity in PD through long-term potentiation (LTP)-like synaptic potentiation mechanisms. Compared to rTMS it offers relevant practical advantages: low cost, portability, the possibility of simultaneous administration during exercise without interfering with training, a characteristic that makes it the natural candidate for combined protocols. The meta-analysis by Giustiniani et al. [24] documents effects on cognitive as well as motor outcomes, with implications for quality of life in patients with frontal involvement. The trial by Pisano et al. [25] combining cerebellar tDCS with augmented reality treadmill produced results superior to the individual components, validating the principle of neurostimulation-exercise synergy.

Critical Appraisal of tDCS and Combined Approaches

Strengths. Portability and low cost open the prospect of home neuromodulation; unique possibility of stimulation simultaneous with exercise; cognitive effects documented beyond motor ones; first evidence of superiority of the tDCS+exercise combination over individual components.
Methodological limitations. Effect sizes on motor symptoms are on average lower than those of rTMS and spatial specificity of continuous current is limited. Electrode montage is often chosen empirically rather than on a neuronavigated basis. Duration of post-cycle effects is brief (2-4 weeks). A proportion of subjects correctly identify the active condition from cutaneous sensation, with potential blinding compromise. Interindividual response variability, influenced by skull thickness, composition of underlying tissue, and baseline excitability state, is large and not predictable.
Open questions. The optimal dose-response profile is not defined. Timing relative to exercise, before, during, or after, has not been systematically compared. Whether cerebellar tDCS offers specific advantages on axial symptoms over M1 stimulation has no answer yet from adequately powered RCTs.

5. Emerging Rehabilitative Technologies: Between Bypass and Recalibration

The technologies described in this section, exoskeletons, AR, multimodal cueing systems, dual-task training, share a characteristic that fundamentally distinguishes them from FE and brain stimulation: they do not act on the root of the problem (D2-MSN hyperexcitability and the consequent motor output suppression), but compensate for its dysfunctional output by activating alternative motor pathways. This distinction, recalibration versus bypass, is not a criticism but a conceptual clarification that must guide the clinical integration of these tools: they are complementary to FE, not substitutes.

5.1. Exoskeletons and Gait Assistance Devices

Wearable exoskeletons correct the pathological characteristics of the gait cycle, reduced step length, hypokinesia, asymmetry, freezing, through active mechanical assistance. Powered lower-limb exoskeletons are wearable battery-operated devices that impose a normative locomotor pattern on the patient’s gait cycle, constraining step length, cadence, and joint kinematics beyond what the patient can generate voluntarily, thereby functioning, at least in part, as a form of lower-limb forced exercise rather than purely passive mechanical assistance. Randomised trials in PD patients have documented significant improvements in gait parameters and postural stability with this class of devices. [26]. The soft robotics device by Kim et al. [27], which assists hip flexion in synchrony with the gait cycle, significantly reduced freezing in ecological conditions, configuring a paradigm that imposes on the central nervous system a temporal activation pattern that the patient cannot generate autonomously, with conceptual analogies to FE.

Critical Appraisal of Exoskeletons

Strengths. The only technology capable of active motor assistance in ecological conditions even in patients with severe motor deficits; soft robotics overcomes the weight and bulk limitations of traditional rigid exoskeletons.
Methodological limitations. Clinical trials in PD are still numerically limited and tested devices are heterogeneous. High cost drastically limits accessibility outside research settings. The fundamental question, whether the benefit is lasting plastic carry-over or acute assistance that ceases with the device, is not systematically documented in PD. The conceptually crucial question remains unresolved: does the exoskeleton constitute a form of FE (and therefore access D2-MSN recalibration mechanisms) or a mechanical bypass? The answer determines whether exoskeleton training has intrinsic rehabilitative value or merely prosthetic value.
Open questions. RCTs explicitly comparing exoskeleton training versus conventional FE on neuroimaging and striatal biomarker outcomes are needed to clarify whether the two paradigms access the same plasticity mechanisms or distinct pathways.

5.2. Augmented Reality and Multimodal Cueing Systems

Freezing of gait responds poorly to both pharmacological therapy and traditional physiotherapy. External cueing, visual, acoustic, tactile, or multimodal, exploits the relatively preserved capacity in PD to use external signals to compensate for the dysfunction of internal automatic motor programmes, engaging the lateral premotor cortex and dorsolateral visuo-motor pathways that bypass the basal ganglia. Augmented reality delivers contextualised visual cues in real environments, overcoming the limitations of immersive virtual reality (VR) in terms of safety and detachment from the daily environment. Hoogendoorn et al. [28] documented significant modifications of gait kinematic parameters with AR cueing. The ELIMINATE FoG trial [29] compared different AR cueing strategies, and the pragmatic RCT CAPARE [30] (completed February 2025) tested gamified AR gait and balance rehabilitation at home, opening the prospect of ecological home neurorehabiliation.

Critical Appraisal of Augmented Reality and Multimodal Cueing Systems

Strengths. Favorable risk-benefit profile; applicable in real and home environments; multimodal cueing adaptable to individual patient parameters; the home AR paradigm extends rehabilitation to the ecological daily space.
Methodological limitations. The effect of cueing is acute and situational: it decays rapidly upon signal removal, with limited evidence of long-term transfer to no-cue conditions. This is the structural weakness of the bypass paradigm: it does not modify the pathological substrate, it temporarily circumvents it. Interindividual variability in response to cueing is marked, some patients respond better to visual, others to acoustic cueing, and FoG itself is neurobiologically heterogeneous (cholinergic vs. dopaminergic vs. mixed), making uniform response unlikely. AR trial samples are still limited and outcome measures heterogeneous. There is also the theoretical risk that prolonged dependence on external cueing reduces the stimulus for reorganisation of internal motor programmes, a paradoxical effect that warrants systematic study.
Open questions. It remains unclear whether prolonged AR training can induce lasting plastic changes in lateral premotor pathways, transforming a compensatory bypass mechanism into genuine recalibration, or whether the effects remain limited to the period of active use. The combination of FE and AR-based cueing, which could simultaneously target striatal recalibration and premotor bypass mechanisms, has not yet been investigated as an integrated intervention, despite theoretically representing one of the most comprehensive strategies currently available.

5.3. Dual-Task Training and Virtual Environment

PD markedly impairs the ability to perform dual tasks, such as walking while talking, carrying objects, or responding to external stimuli, reflecting reduced attentional resources available for automatic gait control. Dual-task training delivered through VR or AR provides a safe, controlled environment in which this ability can be systematically trained with progressively increasing task complexity. The systematic review by Lin et al. [15] suggests that dual-task training is superior to single-task training in improving combined motor and cognitive outcomes, with benefits that are consistent with the reorganization of frontoparietal attentional–motor networks.

Critical Appraisal of Dual-Task Training

Strengths. Strong ecological validity, as most falls in people with PD occur during dual-task situations, and evidence suggests superiority over single-task training in improving combined motor and cognitive outcomes.
Methodological limitations. The definition of “dual-task” varies considerably across studies in terms of the type, difficulty, and modality of presentation of the secondary task. Furthermore, study samples systematically exclude patients with significant cognitive impairment, who represent the most vulnerable population and may potentially derive the greatest benefit from this intervention. The specific contribution of the VR/AR component versus flat-screen dual-task has not been systematically compared.
Open questions. Transfer of effects from the training setting to untrained real-world daily conditions remains insufficiently documented. Moreover, the optimal integration of dual-task training with physical exercise and brain stimulation as components of a structured multimodal rehabilitation protocol has not yet been systematically investigated.

5.4. Additional Rehabilitative Procedures: HIIT, Treadmill, Tai Chi/Dance, Resistance Training, and LSVT BIG

The most extensive comparative synthesis available, a Cochrane network meta-analysis [31] including more than 150 RCTs and 7,000 participants, identified aerobic exercise and balance/gait training as the modalities associated with the largest effect sizes on UPDRS-III scores and functional mobility, while mind–body approaches demonstrated comparable benefits for postural stability. Notably, FE, as defined in this review, is not represented as a distinct category within this synthesis; its trials are subsumed under broader classifications such as aerobic or cycling exercise. This absence is itself methodologically significant, given the specific neurobiological rationale and mechanistic evidence discussed above.
High-intensity interval training (HIIT). HIIT is distinguished from FE by the absence of external biomechanical constraint: it acts on the dopaminergic pathway and neuroplasticity predominantly through BDNF release and neurotrophic factors linked to metabolic intensity, rather than through proprioceptive recalibration of the striatal indirect pathway. The meta-analysis by Harpham et al. [32] documents significant effects on UPDRS-III and aerobic capacity, with adequate feasibility and safety. HIIT therefore represents a procedure mechanistically distinct from FE, complementary for clinical effects, with a neuroprotective rationale, mediated by BDNF and reduction of alpha-synuclein oligomerisation, more documented than FE but with less demonstrated effects on striatal recalibration.
Treadmill training. Conventional treadmill training, distinct from forced-rate treadmill because not necessarily forced in cadence, is the procedure with the most extensive corpus of RCTs in PD for gait outcomes. The meta-analysis by Bishnoi et al. [33] on 13 RCTs documents significant improvements in UPDRS-III, gait velocity, and Timed Up and Go test (TUG) versus other gait training modalities. The effect is, however, speed-dependent: studies using self-selected speeds show lower effect sizes than those imposing progressive speeds, suggesting that the “forcing” component is here too the critical variable.
Tai Chi and dance. Tai Chi has the most solid evidence base among mind-body procedures in PD: the meta-analysis by Lou et al. [34] documents significant improvements in balance (BBS), functional mobility (TUG), and gait velocity versus conventional pharmacological therapy. The rationale, combination of postural control, focused attention, and rhythmic coordination, activates sensorimotor and attentive-frontal circuits distinct from those of the striatal indirect pathway, configuring a mechanism of bypass and reinforcement of alternative pathways rather than D2-MSN recalibration. Dance (particularly Argentine tango) shows analogous effects with an additional social and musical component, but with more limited evidence in terms of study numbers.
Resistance training. The meta-analysis on 15 RCTs by Song et al. [35] documents significant improvements in UPDRS-III and gait velocity both for aerobic training and for resistance training. The latter acts on rigidity and muscle strength through peripheral mechanisms (hypertrophy, motor unit recruitment) and central mechanisms (corticomotor plasticity modulation), with striatal pathway effects less documented than FE but consistent effect sizes for primary motor symptoms.
LSVT BIG. The Lee Silverman Voice Treatment BIG is an intensive amplitude training protocol specifically designed to recalibrate the movement amplitude scaling deficit, a direct manifestation of the motor output suppression mediated by the indirect pathway. Unlike other procedures, LSVT BIG has a rationale explicitly centred on recalibrating the internal perception of motor amplitude, making it conceptually similar to FE, although it acts through cognitive-attentional rather than proprioceptive pathways. The Cochrane review [31] classifies LSVT BIG evidence on quality of life as very uncertain, signaling the need for RCTs with larger samples. Recent feasibility and safety data [36] confirm applicability in hospital settings as an alternative to intensive treadmill training.

Comparative Critical Appraisal

Strengths of the overall landscape. The availability of an updated Cochrane network meta-analysis [31] directly comparing 13 exercise modalities on common outcomes represents a rare methodological base in neurological rehabilitation. Convergent evidence indicates that structured physical exercise, regardless of modality, is superior to inactive control for PD motor symptoms, with aerobic and balance/gait training in a relative position of advantage.
Transversal limitations. None of the procedures described in this section has a neurobiologically demonstrated cellular mechanism comparable to that of FE [6]. The pharmacological treatment and disease duration biases discussed apply fully to these studies as well. Heterogeneity of protocols within each category, intensity, duration, frequency, setting, produces effect size estimates with wide confidence intervals and often high I2, limiting the clinical translatability of recommendations.
Open questions. Direct comparisons between FE and HIIT, between forced and self-selected treadmill, and between LSVT BIG and upper-limb FE on neuroimaging outcomes are lacking. These comparisons are necessary to build a prescription hierarchy based on mechanism rather than clinical habit.

6. Bayesian Ranking of Procedures: A Framework for Precision Prescription

One of the principal weaknesses of narrative reviews in rehabilitation is the lack of a formal framework that transparently integrates evidence of heterogeneous quality with an explicit neurobiological prior. Here, we propose the application of a Bayesian ranking approach as a tool to formalise the evaluative process conducted in the preceding sections, thereby making it reproducible, updatable, and falsifiable.
The logic of the framework can be summarized as follows. Before examining the clinical evidence, we assign to each rehabilitative procedure a prior probability, an initial estimate of how likely it is that the procedure acts through recalibration of striatal D2-MSN hyperexcitability, derived exclusively from the neurobiological evidence reviewed in Section 1, Section 2, Section 3, Section 4 and Section 5. This prior reflects the knowledge derived from cell biology and translational neuroscience that is available before examining the findings of RCTs: FE receives a high prior because its mechanism is causally demonstrated at the cellular level; AR cueing receives a low prior because it is explicitly designed to bypass rather than recalibrate the defective pathway. We then update this estimate in light of the available RCTs: procedures supported by multiple positive trials move their probability upward; those with few or inconsistent trials move it less, but retain the credit of a strong neurobiological prior. The result, the posterior probability, is a single number between 0 and 1 that integrates both sources of knowledge. Crucially, a low posterior probability does not mean a procedure is clinically useless: it means its therapeutic benefit is more likely to flow through compensatory pathways than through direct striatal recalibration. The width of the uncertainty band around each estimate (the 95% credibility interval) reflects how much epistemic room remains: wide intervals signal that more RCT evidence is needed; narrow intervals signal relative confidence. The framework is designed to be updated iteratively as new trials are published, making it a living synthesis rather than a fixed ranking.

6.1. The Formal Model

For each rehabilitative procedure i, we define Rᵢ as the event “the procedure produces genuine striatal D2-MSN recalibration” (distinct from bypass/compensation). The posterior probability of this event, given the available clinical evidence Eᵢ, is determined by Bayes’ theorem:
P(Rᵢ | Eᵢ) = [P(Eᵢ | Rᵢ) · P(Rᵢ)] / P(Eᵢ)
where P(Rᵢ) is the prior on the recalibration mechanism, derived from cell biology and translational coherence [6,13]; P(Eᵢ | Rᵢ) is the likelihood of the observed clinical evidence given that mechanism; and P(Rᵢ | Eᵢ) is the posterior probability of D2-MSN recalibration.

6.2. Prior Specification

The prior P(Rᵢ) is modelled as a Beta(α, β) distribution, the natural conjugate distribution for probabilities in [0,1]. The parameters α and β are calibrated on the neurobiological rationale: α high if direct cellular evidence of D2-MSN modulation exists (FE), α low if the mechanism is predominantly bypass (AR cueing). The prior parameters for each procedure, justified by the biology discussed in the preceding sections, are as follows: Upper- and lower-limb FE: Beta(7,2), strong prior, mechanism causally demonstrated [6]. LSVT BIG: Beta(6,3), recalibration of motor amplitude via cognitive-attentional pathway. rTMS: Beta(5,5), top-down corticostriatal modulation, plausible mechanism but not demonstrated at cellular level. tDCS: Beta(4,5), convergent rationale but limited spatial specificity. HIIT: Beta(5,4), effects on BDNF and neuroprotection, D2-MSN modulation less documented. Resistance training, treadmill, Tai Chi/dance: Beta(3,5-6), predominantly peripheral and bypass mechanisms. Dual-task/VR-AR, exoskeletons, AR cueing: Beta(2,6-8), bypass paradigm by definition.

6.3. Likelihood and Bayesian Updating

The likelihood P(Eᵢ | Rᵢ) is modelled as a binomial likelihood: for each procedure, the number of available RCTs producing positive and replicable results (s, successes) out of the total (n), weighted for methodological quality (Cochrane risk of bias), is counted. The resulting posterior distribution is analytical:
P(Rᵢ | Eᵢ) ∼ Beta(α + s, β + f)
where f = n − s is the number of failures. The posterior mean is (α+s)/(α+β+n) and the 95% credibility interval (highest density interval, HDI) reflects residual epistemic uncertainty: biologically grounded priors with few RCTs produce wide intervals; weak priors with many RCTs produce narrower intervals. The model is updatable iteratively with each newly published trial, rendering it a living evidence synthesis tool.

6.4. Results and Interpretation

Figure 1 isolates the genuine empirical signal from the mathematical shrinkage that, in the Beta-Binomial update, mechanically pulls the posterior toward the prior whenever the number of available RCTs is small. Once this shrinkage is removed, the implied raw clinical evidence is no longer artificially constrained to lie near the diagonal, and the pattern that emerges is informative on a procedure-by-procedure basis rather than uniform. Point 2 (LSVT BIG) is the only case with a marked negative deviation from the diagonal, indicating that the clinical evidence for this procedure is objectively weaker than what its prior, grounded in the cognitive-attentional recalibration rationale, would suggest; this is consistent with the Cochrane classification of LSVT BIG evidence on quality of life as “very uncertain” (Section 6.4). The remaining procedures with a strong or moderate prior (1, 3, 4, 5, 6/7, 8, 10) remain relatively close to the diagonal, indicating that the raw clinical signal for these procedures is genuinely consistent with the neurobiological expectation, rather than merely constrained to appear so by the small evidence base. Two procedures depart from the diagonal in the opposite direction: points 9 (dual-task/VR-AR) and 11 (AR cueing) show the largest positive deviations in the entire set, with implied success rates exceeding their priors by a wider margin than any other procedure. Both belong to the bypass cluster, whose low priors reflect a mechanism deliberately built to compensate for, rather than recalibrate, the striatal substrate; the raw evidence nonetheless points to a clinical effect, consistent with the acute and clinically significant reductions in freezing of gait documented for AR cueing in Section 5.2. Taken together, these deviations show that the near-diagonal appearance of the standard prior-to-posterior plot was not simply an artefact of insufficient evidence applied uniformly across procedures: where the underlying clinical signal genuinely diverges from the neurobiological prior, in either direction, it does so visibly once the shrinkage is removed, lending the procedure-specific deviations observed here greater interpretive weight than a uniform small-sample explanation would allow.
Figure 2 reports the posterior estimates P(Rᵢ | Eᵢ) with their 95% HDIs for all eleven procedures discussed in the review, ordered along a continuous gradient of D2-MSN recalibration probability from 0.80 to 0.25. Three functional clusters emerge. The high-recalibration cluster (P > 0.60) comprises upper- and lower-limb FE (mean ≈ 0.80, HDI [0.57–0.95]) and LSVT BIG (mean ≈ 0.62, HDI [0.35–0.85]). FE occupies first position owing to the combination of the strongest prior in the ranking, Beta(7,2), grounded in the causal demonstration by Chen et al. [6] that chemogenetic inhibition of D2-MSNs fully recapitulates the motor benefit of treadmill exercise, and convergent clinical evidence across neuroimaging [19] and motor outcomes [17,18,20]. The narrow HDI reflects genuine epistemic confidence. LSVT BIG reaches second position despite a more limited RCT base: its prior, Beta(6,3), based on the cognitive-attentional recalibration of motor amplitude scaling, is sufficiently strong to maintain a high posterior even with scarce clinical data. This is the framework’s most instructive result: a solid neurobiological rationale confers prescription weight that cannot be overridden by the mere absence of large trials. The uncertainty cluster (0.40 ≤ P ≤ 0.56) encompasses rTMS (≈ 0.55, HDI [0.33–0.76]), HIIT (≈ 0.56, HDI [0.32–0.79]), tDCS (≈ 0.47, HDI [0.25–0.70]), resistance training (≈ 0.44), treadmill training (≈ 0.44, HDI [0.23–0.67]), and Tai Chi/dance (≈ 0.40, HDI [0.18–0.65]). Wide HDIs throughout this cluster reflect genuine mechanistic uncertainty rather than clinical inefficacy. rTMS and HIIT sit near the P = 0.50 threshold with symmetric or near-symmetric priors, signalling that current evidence does not resolve whether their benefit is mediated by striatal recalibration or compensatory plasticity. tDCS, resistance training, treadmill, and Tai Chi/dance progressively approach P = 0.40 as their priors incorporate predominantly peripheral or multi-pathway mechanisms. The bypass cluster (P < 0.35) comprises dual-task/VR-AR (≈ 0.33, HDI [0.13–0.58]), exoskeletons (≈ 0.31, HDI [0.10–0.57]), and AR cueing (≈ 0.25, HDI [0.08–0.48]). Low posteriors in this cluster reflect not clinical inefficacy but mechanistic architecture: these procedures are explicitly designed to compensate for the dysfunctional output of the indirect pathway by engaging lateral premotor and fronto-parietal networks that bypass the basal ganglia. AR cueing, the lowest-ranked procedure, produces acute and clinically significant reductions in freezing of gait (FoG); its P(R|E) of 0.25 indicates that this benefit flows through compensatory pathways, not through D2-MSN recalibration. The vertical line at P = 0.50 in Figure 2 therefore marks a mechanistic boundary, not an efficacy threshold. The gradient has direct prescriptive implications: for patients with sufficient residual dopaminergic substrate (Hoehn & Yahr stages I–III), high-recalibration procedures should constitute the rehabilitative core; for patients with advanced depletion, where the D2-MSN substrate available for recalibration is exhausted, bypass procedures acquire primary prescriptive value as the most practicable route to functional compensation.
P(Rᵢ | Eᵢ) quantifies the probability that a procedure’s mechanism of action transits through D2-MSN striatal recalibration, and must not be read as a measure of overall clinical efficacy. The distinction between recalibration and bypass is the principal conceptual contribution of this framework: it renders explicit an epistemic asymmetry that narrative reviews leave implicit, and provides a formal, updatable basis for matching rehabilitative strategy to the individual patient’s neurophysiological phenotype.

7. Towards an Integrative Model: Precision Exercise Prescription in PD

Before articulating clinical implications derivable from the evidence discussed, it is necessary to acknowledge two systematic biases that run transversally through the entire rehabilitative literature in PD and that condition the strength of any inference. The first is the pharmacological confound: all studies enroll patients on dopaminergic therapy, often with non-standardized doses and clinical evaluations not systematically conducted in the off-medication state. Since levodopa and dopamine agonists modify corticomotor excitability, corticostriatal connectivity, and D2 receptor sensitivity, the effect of the rehabilitative intervention is never measurable in isolation from its pharmacological substrate. The second is the disease duration bias: studies mix patients with very different neurodegenerative trajectories, ignoring that the degree of residual dopaminergic depletion, and therefore the substrate on which striatal recalibration can operate, varies in a non-linear fashion with disease progression. Future research cannot do without designs that explicitly stratify by disease duration, Hoehn & Yahr stage, and medication state at the time of assessment.
The evidence discussed in this review converges towards a unitary interpretive model that can guide rehabilitative prescription in PD. At the centre of the model lies the pathological hyperexcitability of the striatal indirect pathway (D2-MSN) as the primary mechanistic driver of motor deficits and, plausibly, of many postural and sensorimotor deficits involving vestibular function and multisensory integration. The most effective rehabilitative interventions are those that normalise this hyperexcitability (FE, supervised exercise) or that compensate for its dysfunctional output by activating alternative pathways (AR cueing, dual-task training).
This model generates testable predictions and clinical implications:
First: available evidence suggests that modality matters more than intensity. FE must exceed by 30% or more the patient’s voluntary cadence, and exercise must be supervised or biomechanically constrained. Self-selected voluntary physical activity, while beneficial for cardiovascular and metabolic health, appears not to reach the threshold required to access striatal recalibration mechanisms.
Second: body segment matters, and the constraint applies to upper limbs too. FE is not confined to cycling: its application to the upper limbs and cervico-scapular girdle, via devices that impose frequency and recruitment pattern superior to the voluntary threshold, generates proprioceptive afference from the districts most compromised in PD and most extensively represented in sensorimotor cortex. This axial FE is the only one to produce the cross-modal recalibration documented by Ginanneschi et al. [20], including the vestibular benefit absent in healthy controls, and must be conceptually distinguished from merely supervised or assisted upper-limb exercise.
Third: brain stimulation can amplify but not substitute. rTMS and tDCS on M1 modulate cortical excitability and corticostriatal connectivity, but their effect is maximised when combined with exercise that provides the afferent activity substrate on which stimulation operates.
Fourth: digital technologies can extend rehabilitation to ecological space. Exoskeletons, AR, and multimodal cueing systems do not replace but complement clinical training, enabling generalisation of learned motor patterns to everyday environments.
Fifth: the healthy vs. patient response as a biomarker. The absence of benefit in healthy controls subjected to the same supervised protocols [20] suggests that the response to FE is a functional biomarker of indirect-pathway dysfunction, an observation that could be exploited to personalize rehabilitative prescription as a function of the individual patient’s neurophysiological phenotype.

8. Conclusions

Rehabilitation in PD has undergone a profound conceptual transformation over the past fifteen years: from a symptomatic-compensatory intervention to a disease-modifying neuroplastic strategy, grounded in identifiable cellular and circuit mechanisms potentially exploitable with precision. The distinction between voluntary and forced/supervised exercise is not a technical subtlety, but the variable that separates a generically healthful activity from an intervention that reconfigures the dynamics of the striatal indirect pathway, the cellular substrate of motor deficits in PD.
The evidence from Messa et al., [19], Ginanneschi et al., [20] and the preclinical findings of Chen et al. [6] illuminate each other: the cellular mechanism demonstrated in mice provides the rationale for the systemic effects observed in humans, and the pathology-dependent selectivity of the clinical effects validates the translational relevance of the animal model. Non-invasive brain stimulation and emerging digital technologies are complementary tools in this framework: the former amplify top-down the window of plasticity, the latter extend bottom-up the rehabilitative influence to real daily-life environments.
The Bayesian ranking framework proposed in this review provides, for the first time in this field, a formal and reproducible tool for integrating neurobiological priors with clinical evidence quality, rendering explicit the epistemic asymmetry between procedures that causally recalibrate the pathological substrate and those that compensate for its output via alternative pathways. This distinction is the principal conceptual contribution of the present work and should guide the design of future precision-exercise RCTs in PD.
The challenge for future research is threefold: to identify the neurophysiological biomarkers (subthalamic local field potentials (LFPs), corticostriatal functional magnetic resonance imaging connectivity, gait kinematic parameters) that predict the individual patient’s response to different interventions; to test in adequately powered RCTs the combined exercise-brain stimulation-digital technology protocols that the integrative model proposed in this review identifies as the most promising frontier of precision rehabilitation in PD; and, most critically, to design the first head-to-head trials comparing procedures of recalibration and bypass on the same patients, with washout periods long enough to distinguish durable plasticity from transient compensation.
Open questions: recalibration versus bypass. No RCT has yet directly compared a recalibration procedure (FE, LSVT BIG) with a bypass procedure (AR cueing, dual-task training) on the same patients, with adequate washout periods and neuroimaging endpoints. The available evidence is nevertheless coherent with the predictions of the model in three ways. First, durability: cueing effects decline rapidly upon removal of the external signal, as demonstrated by the RESCUE trial [37], in which no carry-over to functional outcomes was observed six weeks after cessation of cueing training, a pattern consistent with bypass dependency. By contrast, supervised high-intensity exercise modifies the clinical trajectory over years when maintained as a maintenance programme [38]. Second, there is a partial exception: Nieuwboer et al. [37] reported that nine sessions of cueing produced limited improvements even under uncued conditions and hypothesised that prolonged cueing may re-route movement through lateral premotor pathways, precisely the bypass-to-recalibration transition that this review identifies as an open question. Third, the absence of direct comparisons is itself informative: the recalibration/bypass distinction proposed here creates a testable question that the existing literature has not yet formulated. The critical experiment would compare, in a parallel-group RCT with neuroimaging endpoints and a minimum 12-week washout, forced exercise against AR cueing matched for total session time, measuring both acute and durable effects on UPDRS-III, gait kinematics, and corticostriatal fMRI connectivity. Such a trial would provide the first empirical test of the framework’s central prediction: that recalibration procedures produce larger, more durable effects on striatal biomarkers, while bypass procedures produce larger acute effects on freezing and gait in advanced disease stages where the D2-MSN substrate is depleted.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org.

Author Contributions

Conceptualization, methodology, formal analysis, writing—review and editing, A.R. Writing review and editing, supervision, F.G.

Funding

This research received no external funding.

Institutional Review Board Statement

the study did not require ethical approval.

Data Availability Statement

Data are available on request from the corresponding author.

Acknowledgments

None.

Conflicts of Interest

The authors Declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
6-OHDA, 6-hydroxydopamine; AR, augmented reality; BBS, Berg Balance Scale; BDNF, brain-derived neurotrophic factor; BIG, see LSVT BIG; CD11b/c, integrin alpha-M/integrin alpha-X; CREB, cAMP response element-binding protein; D1-MSNs, D1 medium spiny neurons; D2-MSNs, D2 medium spiny neurons; FE, forced exercise; fMRI, functional magnetic resonance imaging; FoG, freezing of gait; GBD, Global Burden of Disease; GDNF, glial cell line-derived neurotrophic factor; GPi, internal globus pallidus; HDI, highest density interval; HIIT, high-intensity interval training; LFP, local field potential; LTP, long-term potentiation; LSVT BIG, Lee Silverman Voice Treatment BIG; M1, primary motor cortex (area); MAPK, mitogen-activated protein kinase; PD, Parkinson’s disease; PFC, prefrontal cortex; RCT, randomised controlled trial; RCTs, randomised controlled trials; rTMS, repetitive transcranial magnetic stimulation; SMA, supplementary motor area; SNr, substantia nigra pars reticulata; SOT, Sensory Organization Test; tDCS, transcranial direct current stimulation; TrkB, tropomyosin receptor kinase B; TUG, Timed Up and Go test; UPDRS, Unified Parkinson’s Disease Rating Scale; VE, voluntary exercise; VR, virtual reality.

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Figure 1. Prior mean versus implied raw clinical evidence, shrinkage removed. In a Beta-Binomial update, shrinkage refers to the systematic pull of the posterior mean toward the prior mean whenever the clinical data (n RCTs) carry less statistical weight than the prior (α+β): P(R|E) = (α+s)/(α+β+n), so the posterior is mechanically constrained to remain close to the prior whenever n is small, regardless of how strong or weak the underlying clinical signal actually is. For each procedure, the x-axis reports the prior mean α/(α+β), derived exclusively from the neurobiological rationale (Section 6.2). To bypass this shrinkage, the y-axis does not report the posterior mean P(R|E) itself, but the underlying empirical success rate s/n implied by the clinical evidence, algebraically recovered from the posterior and prior Beta parameters as n = (α′+β′) − (α+β) and s = α′ − α, where α′, β′ are the parameters of the posterior distribution estimated by moment-matching to the reported posterior mean and 95% HDI (Section 6.4). Plotting s/n directly against the prior mean isolates the genuine clinical signal from the shrinkage constraint. The dashed diagonal represents no deviation between the raw clinical evidence and the prior expectation. Filled circles indicate procedures with a strong prior (α ≥ 4); open squares indicate a weak prior (α < 4). Points 6 and 7 (resistance training and treadmill training) are drawn as two overlapping squares because the manuscript reports an identical prior and posterior mean for both; an explicit 95% HDI is given only for treadmill training and was used as an approximation for resistance training, for which the text does not report one. The recovered n and s are themselves an algebraic reconstruction from the reported summary statistics, not the original trial counts used by the authors, and should be read as indicative rather than exact. 1 = forced exercise; 2 = LSVT BIG; 3 = HIIT; 4 = rTMS; 5 = tDCS; 6 = resistance training; 7 = treadmill training; 8 = Tai Chi/dance; 9 = dual-task/VR-AR; 10 = exoskeletons; 11 = AR cueing.
Figure 1. Prior mean versus implied raw clinical evidence, shrinkage removed. In a Beta-Binomial update, shrinkage refers to the systematic pull of the posterior mean toward the prior mean whenever the clinical data (n RCTs) carry less statistical weight than the prior (α+β): P(R|E) = (α+s)/(α+β+n), so the posterior is mechanically constrained to remain close to the prior whenever n is small, regardless of how strong or weak the underlying clinical signal actually is. For each procedure, the x-axis reports the prior mean α/(α+β), derived exclusively from the neurobiological rationale (Section 6.2). To bypass this shrinkage, the y-axis does not report the posterior mean P(R|E) itself, but the underlying empirical success rate s/n implied by the clinical evidence, algebraically recovered from the posterior and prior Beta parameters as n = (α′+β′) − (α+β) and s = α′ − α, where α′, β′ are the parameters of the posterior distribution estimated by moment-matching to the reported posterior mean and 95% HDI (Section 6.4). Plotting s/n directly against the prior mean isolates the genuine clinical signal from the shrinkage constraint. The dashed diagonal represents no deviation between the raw clinical evidence and the prior expectation. Filled circles indicate procedures with a strong prior (α ≥ 4); open squares indicate a weak prior (α < 4). Points 6 and 7 (resistance training and treadmill training) are drawn as two overlapping squares because the manuscript reports an identical prior and posterior mean for both; an explicit 95% HDI is given only for treadmill training and was used as an approximation for resistance training, for which the text does not report one. The recovered n and s are themselves an algebraic reconstruction from the reported summary statistics, not the original trial counts used by the authors, and should be read as indicative rather than exact. 1 = forced exercise; 2 = LSVT BIG; 3 = HIIT; 4 = rTMS; 5 = tDCS; 6 = resistance training; 7 = treadmill training; 8 = Tai Chi/dance; 9 = dual-task/VR-AR; 10 = exoskeletons; 11 = AR cueing.
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Figure 2. Bayesian ranking of rehabilitative procedures in Parkinson’s disease. For each procedure, the posterior probability P(R|E) of striatal D2-MSN recalibration (x-axis) is reported, estimated via a Beta-Binomial model with a prior calibrated on the neurobiological mechanism and a likelihood derived from available RCTs. Horizontal bars represent 95% credibility intervals (HDI, highest density interval). Filled circles indicate procedures with a strong prior (α ≥ 4), i.e., with a neurobiologically grounded D2-MSN recalibration rationale; open squares indicate procedures with a weak prior (α < 4), whose predominant mechanism is bypass or compensation. The vertical dotted line at P = 0.5 separates procedures with higher posterior probability (recalibration likely) from those with lower probability (bypass likely). * LSVT BIG: once the Beta-Binomial shrinkage is removed (Figure 1), the implied raw clinical evidence falls below this procedure’s prior expectation, the only such case among the eleven procedures — i.e., the neurobiological rationale currently promises more than the available evidence has shown, consistent with the Cochrane classification of LSVT BIG evidence on quality of life as “very uncertain” (Section 6.4). Methodological note: P(R|E) is not a measure of overall clinical efficacy, but specifically of the probability that the procedure’s mechanism of action passes through recalibration of striatal D2-MSN hyperexcitability, as distinct from bypass of alternative motor pathways. A procedure with low P(R|E) may be clinically effective through compensation mechanisms (see text). FE = forced exercise; HDI = highest density interval; LSVT BIG = Lee Silverman Voice Treatment BIG; rTMS = repetitive transcranial magnetic stimulation; tDCS = transcranial direct current stimulation; HIIT = high-intensity interval training; AR = augmented reality; FoG = freezing of gait.
Figure 2. Bayesian ranking of rehabilitative procedures in Parkinson’s disease. For each procedure, the posterior probability P(R|E) of striatal D2-MSN recalibration (x-axis) is reported, estimated via a Beta-Binomial model with a prior calibrated on the neurobiological mechanism and a likelihood derived from available RCTs. Horizontal bars represent 95% credibility intervals (HDI, highest density interval). Filled circles indicate procedures with a strong prior (α ≥ 4), i.e., with a neurobiologically grounded D2-MSN recalibration rationale; open squares indicate procedures with a weak prior (α < 4), whose predominant mechanism is bypass or compensation. The vertical dotted line at P = 0.5 separates procedures with higher posterior probability (recalibration likely) from those with lower probability (bypass likely). * LSVT BIG: once the Beta-Binomial shrinkage is removed (Figure 1), the implied raw clinical evidence falls below this procedure’s prior expectation, the only such case among the eleven procedures — i.e., the neurobiological rationale currently promises more than the available evidence has shown, consistent with the Cochrane classification of LSVT BIG evidence on quality of life as “very uncertain” (Section 6.4). Methodological note: P(R|E) is not a measure of overall clinical efficacy, but specifically of the probability that the procedure’s mechanism of action passes through recalibration of striatal D2-MSN hyperexcitability, as distinct from bypass of alternative motor pathways. A procedure with low P(R|E) may be clinically effective through compensation mechanisms (see text). FE = forced exercise; HDI = highest density interval; LSVT BIG = Lee Silverman Voice Treatment BIG; rTMS = repetitive transcranial magnetic stimulation; tDCS = transcranial direct current stimulation; HIIT = high-intensity interval training; AR = augmented reality; FoG = freezing of gait.
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