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DOPAMINERGIC REGULATION OF SLEEP ARCHITECTURE AND DREAM GENERATION: FROM NEUROPSYCHIATRIC PATHOLOGY TO THE THERAPEUTIC POTENTIAL OF EXERCISE – A NARRATIVE REVIEW

Sep 2026 · International Journal of Innovative Technologies in Social Science · 0 citations · 31 references

Abstract

Classically viewed as the primary mediator of reward, motivation, and exercise-induced euphoria, dopamine actually exerts highly nuanced, region- and receptor-specific effects on sleep architecture and dream generation. This narrative review synthesizes current literature from major scientific databases up to 2026 to elucidate how localized dopaminergic signaling acts as a homeostatic gatekeeper of overnight neurological restoration, and how its disruption drives sleep pathology across a broad clinical spectrum. Pathological breakdowns in dopaminergic pathways manifest as profound sleep fragmentation in Parkinson’s disease, circadian and phenomenological disturbances in schizophrenia, receptor desensitization linked to anhedonia in Major Depressive Disorder, neuroendocrine-driven hypersomnia in hyperprolactinemia, and failed fear extinction fueling recurrent nightmares in Post-Traumatic Stress Disorder. Crucially, this study evaluates the translational potential of physical exercise—particularly high-intensity interval training (HIIT)—as a non-pharmacological intervention. While respecting evolutionary limits in healthy organisms via the natural ceiling hypothesis, exercise opens a therapeutic window in deficit states, upregulating D₂ receptor density, stabilizing sleep microstructure through expanded N2 stages and sleep spindle activity, and enhancing slow-wave sleep. This prolongation of deep sleep ultimately accelerates glymphatic clearance, facilitating the convective removal of neurotoxic aggregates such as α-synuclein. By bridging the gap between exercise physiology, translational neurology, and sleep medicine, this review establishes a cohesive mechanistic framework for utilizing structured physical activity to protect vulnerable neural networks and transform the clinical management of complex motor and neuropsychiatric disorders.

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