The brainstem signature of multiple sclerosis: predictable lesions, consistent syndromes.

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Wafa M.
Nuh K.
Giovannoni G.
Schmierer K.
Gnanapavan S.
Dobson R.
Marta M.
Papachatzaki M.
Turner B.
Campion T.

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2026

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Abstract

Background: Integrating clinical findings with neuroradiological changes is a crucial skill in neurology, particularly for diagnosis. Multiple Sclerosis (MS) lesions in the brainstem are rarely asymptomatic, leading to unique and often localised clinical syndromes. MS lesions exhibit a characteristic perivenular distribution, which in the brainstem is imprinted by the consistent topography of the penetrating veins. Objective(s): This review provides an integrative perspective on the anatomical patterns of MS lesions in the brainstem (midbrain, pons, and medulla). It correlates specific clinical syndromes with radiological appearances, aiding in both diagnosis and functional localisation. Method(s): We searched the available literature using keywords related to the three brainstem sections (midbrain, pons, medulla) and eloquent anatomical locations (medial longitudinal fasciculus, cerebellar peduncle, nerve fascicle, aqueduct, area postrema), aiming to correlate specific radiological patterns of MS lesions with their consistent clinical syndromes as reported in the literature. Summary of Key Findings: Brainstem MS lesions often cause irritative symptoms rather than full functional loss. Unlike other conditions, visible MS lesions on MRI rarely disappear and usually remain as silent lesions following an acute event. The consistent venous architecture creates specific radiological patterns that link to distinct clinical presentations. In contrast, inflammatory disorders like NMOSD and MOGAD cause more aggressive and extensive dysfunction. Conclusion(s): The visual details of MS brainstem lesions reflect their close relationship to venous anatomy, which can be anticipated even when the central vein sign is not directly visualised. Recognising these specific clinical-radiological syndromes provides a unique and insightful diagnostic tool for MS, underscoring the value of strong functional and radiological-anatomical interpretation skills in clinical neurology. Copyright © 2025 The Author(s)

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Multiple Sclerosis and Related Disorders

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107

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