The brain has an exceptionally high energy demand and can only function with proper blood supply. Vascular diseases are often linked to neurological problems, especially in ageing populations, which motivates further examination of their coupled interaction. Biomechanical testing and computational models [1] can aid this process by helping to better understand mechanics-related physiological processes, such as neurovascular coupling [2], nutrient transport, and pathological processes, such as arterial stiffening, critical stresses in aneurysms, angiogenesis in tumour growth, or vessel rupture in traumatic brain injury. However, modeling the brain vasculature is challenging for multiple reasons. First, it is difficult to determine the material properties of blood vessels and brain tissue, with the latter showing a complex poro-viscoelastic behavior and deforming under vascular pressure. Second, mapping the vasculature, including the microvasculature, can be challenging due to geometric singularities and specificities, such as the blood-brain barrier. Therefore, multidisciplinary approaches are needed to study the complex nature of the vascularized tissue. Multiphysics models enable the coupling of chemical, biological, and mechanical processes, while multi-scale approaches can help to study processes from the cell to organ scale or at longer time scales. In this regard, involving clinicians ensures that modeling efforts address real clinical needs. This minisymposium aims to give researchers working on brain vasculature the opportunity to present recent advances in the field and to connect with each other. We welcome all contributions ranging from in vivo, in vitro, and ex vivo experimental approaches to computational models and in silico studies. This includes approaches for the incorporation of in vivo data, extraction of patient-specific geometries, and the characterization of pressurised tissue under intracranial and blood pressure. REFERENCES [1] Belponer, C., Caiazzo, A., & Heltai, L. (2023). Reduced Lagrange multiplier approach for non-matching coupled problems in multiscale elasticity. arXiv preprint arXiv:2309.06797. [2] Neher, C. M. et al. Perfusion–mechanics coupling of the hippocampus. Interface Focus 15, 20240051 (2025)