Non-motor symptoms (NMS) affect nearly all patients with Parkinson’s disease (PD)and related movement disorders, with a mean of roughly 8–10 discrete symptoms perindividual. Their effect on quality of life often exceeds that of motor features, yetNMS remain under-recognized and undertreated, partly because patients and caregivers lack a working model of why these symptoms arise in a “movement” disease.This chapter applies neuroscience-informed psychoeducation (NIPE) to that gap andpositions it relative to conventional psychoeducation, health communication, and behavioral science. We propose the Map-Normalize-Differentiate-Navigate (MNDN)workflow as a movement-disorders-specific implementation of the NIPE frameworkdescribed in Chapter 1 of this volume. MNDN is a clinical proposal, not a validatedprotocol: its components are specified so that it can be tested, but its effects on patient outcomes have not been evaluated. Drawing on the tripartite cortico-basal ganglia-thalamocortical loop model and multi-transmitter degeneration, we provide modules for seven high-yield NMS: apathy, anxiety, executive dysfunction, REM sleepbehavior disorder, neurogenic orthostatic hypotension, psychosis, and fatigue. Eachmodule summarizes the neural systems implicated, at the level of certainty the evidence supports, together with common misattributions, reversible contributors thatmust be excluded, management options and their limits, and patient and caregiverhandout content. We describe delivery formats from 3 to 5 min “micro-NIPE” sessions in routine visits to group and telehealth programs, specify the minimum components, provider competencies, dose, fidelity criteria, and proximal outcomes neededto test MNDN, and examine the ethical risks of neurobiological framing (determinism, oversimplification, over-attribution, and false reassurance), with particular attention to prognostic counseling in REM sleep behavior disorder. NIPE in movementdisorders is designed to reduce self-blame, support accurate symptom attribution, andimprove collaborative management. Whether it does so is an empirical question thatthis chapter aims to make answerable.
