Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morbidity in the paediatric and adult populations. Defined by involuntary, rhythmic, to-and-fro eye movements, this condition may manifest as an isolated anomaly or harbour more serious ocular or systemic pathologies. Its presence often provides vital diagnostic clues, emphasizing the importance of thorough evaluation to uncover potentially hidden underlying conditions. These mechanisms may range from dysfunction in the neural pathways to genetic mutations that affect ocular motor control. Nystagmus can profoundly affect visual acuity, spatial perception, and overall quality of life, leading to challenges in education, employment, and daily activities for the affected individuals. The diverse classifications of nystagmus, spanning congenital, acquired, and spontaneous forms, have distinct aetiologies, clinical features, and therapeutic considerations. For clinicians, a structured and systematic approach is essential for an accurate diagnosis and management. Advances in diagnostic modalities, including high-resolution imaging, electrodiagnostic studies, and eye tracking technologies, have enhanced our ability to delineate the underlying pathology. Similarly, therapeutic innovations such as pharmacological interventions, surgical techniques such as tenotomy, and even gene therapy and neurostimulation are opening new avenues for managing this disorder. A robust literature search was conducted using PubMed, MEDLINE, Cochrane, and EMBASE. The search strategy incorporated MeSH terms including nystagmus, classification, diagnosis, and treatment, and included both English and non-English articles up to December 2024. Studies were selected based on relevance to clinical features, pathophysiology, and recent advances in the field. This review offers a comprehensive exploration of the epidemiology, classification, clinical presentation, diagnostic strategies, and treatment of nystagmus. It also sheds light on recent advancements and emerging research, including the integration of artificial intelligence in clinical diagnostics. Ultimately, this review aims to serve as a practical clinical reference that enhances diagnostic accuracy and optimizes patient care within the ophthalmic and neuro-ophthalmic communities.

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