Scientific Rationale The intervention under study, the Melillo Method® (MM), is grounded in a "functional disconnection syndrome" model proposing that pediatric neurodevelopmental challenges arise from insufficient temporal synchronization and functional connectivity between brain hemispheres. This model builds on evidence that retained primitive reflexes - brainstem-mediated motor patterns typically inhibited through cortical maturation in infancy - are associated with impaired postural control, motor coordination difficulties, attentional challenges, and behavioral dysregulation when they persist beyond early childhood. MM applies individualized, lateralized sensory-motor stimulation intended to target the functionally weaker hemisphere, with the aim of supporting primitive reflex inhibition and neural maturation. This approach is consistent with experience-dependent neuroplasticity models. While MM has an established base of clinical observation, it has not previously been evaluated using a randomized controlled design in a school-based pediatric population; this trial addresses that methodological gap.
Design Rationale A delayed-start (waitlist-control) design was selected to balance the ethical goal of providing intervention access to a likely clinical population against the methodological need to control for natural maturation and regression to the mean. All enrolled students eventually receive the intervention, while the delayed-start arm provides a stable non-intervention comparison period.
Allocation uses a minimization (covariate-adaptive) procedure rather than simple randomization, balancing on school level (elementary vs. middle school) as the sole minimization factor. School level was selected because the structural and environmental transition into early adolescence is understood to be a predominant driver of fluctuations in student well-being, cognitive engagement, and emotional functioning, independent of chronological age. Limiting minimization to a single, biologically justified factor follows recommended practice for small trials, since stratifying on multiple factors can degrade balancing efficiency and increase the predictability of upcoming allocations, introducing risk of selection bias. Allocation is performed using a password-protected, web-based system (QMinim) that conceals allocation until randomization, using a biased-coin probability method (base probability 0.8) with marginal balance distance weighting.
Because the screening instrument also serves as a primary outcome measure, a second (run-in) administration is obtained after screening but prior to randomization, and this second administration - not the screening score - serves as the analytic baseline. This approach mitigates regression-to-the-mean and initial-elevation bias that can otherwise inflate apparent treatment effects when a single instrument is used for both eligibility screening and outcome measurement.
Intervention Delivery Model The intervention is delivered by a Melillo Method-certified clinician and a trained assistant in dyadic (n=2) small-group format, three sessions weekly, over each participant's assigned 12- or 24-week course. This group size is intended to preserve a high clinician-to-student ratio for individualized manual therapy while allowing structured peer-to-peer engagement during cooperative timing tasks. Each intervention block begins and concludes with a standardized neurodevelopmental assessment (primitive reflex grading, postural and oculomotor evaluation, Interactive Metronome baseline timing metrics) to characterize functional status independent of the ongoing outcome battery. Participants are assigned to a right- or left-hemisphere-targeted stimulation protocol based on clinical synthesis of neurobehavioral history and observed asymmetry patterns, determining the laterality of sensory stimulation (visual, tactile-vibratory, olfactory, and auditory) and the directionality of oculomotor and vestibular exercises delivered during each session.
Programmatic Evaluation Component Running in parallel with the RCT, a mixed-methods programmatic evaluation uses a volunteer advisory committee and structured stakeholder interviews/surveys (administrators, teachers, parents) at three timepoints to iteratively inform trial implementation and to generate qualitative data supporting the design of a future, adequately powered efficacy trial.
Statistical Approach to Feasibility Sample size and progression thresholds were determined using contemporary pilot/feasibility trial methodology (SS-PROGRESS), targeting ≥90% power to reject the "red/stop" zone for each feasibility outcome under the assumption that the "green/go" zone holds true, using investigator-specified minimal and hypothesized values for each outcome. This approach follows current recommendations for defining objective, pre-specified go/no-go criteria in pilot trials rather than relying on point estimates alone.
