bioRxivBioengineeringPreprint
Evidence of tornadic phenomena in cerebral aneurysms
Valentina MazziiD, Diego GalloiD, Thangam NatarajaniD, Jonas SchollenbergeriD, Karol CalòiD, David SaloneriD, David A. SteinmaniD, Umberto MorbiducciiD
Abstract
Cerebral aneurysms are abnormal outpouchings of arteries within the brain and occur in [~]1 in 30 adults. Their initiation, growth, and rupture have been linked to focal blood flow abnormalities--often termed "disturbed" or "hostile" hemodynamics--but commonly-used hemodynamic metrics yield conflicting associations with pathology and lack a unifying mechanistic interpretation. Building on a theoretically-grounded link between wall shear stress and near-wall vorticity, we hypothesized that a topology-based description of near-wall flow can operationalize the concept of hostile hemodynamics in a reproducible way. Inspired by atmospheric tornadic phenomena, we sought a principled taxonomy of coherent near-wall fluid structures with potential mechanobiological and clinical implications. Using high-fidelity computational fluid dynamics simulations in anatomically realistic geometries, we identified coherent near-wall fluid structures whose organization mirrors well-studied atmospheric phenomena: tornado-like columnar rotating cores; downburst-like nonrotating wall-impinging jets with tangential outflow, roll-cloud-like tangential vortices; and mixed configurations. These tornadic events on the aneurysm luminal surface were identified from wall shear stress topology, consistent with its theoretical connection to near-wall vorticity kinematics. The presence of tornadic phenomena--and their imprints on the aneurysm wall--was independently observed in vivo using 4D flow magnetic resonance imaging. By translating concepts from atmospheric physics into vascular biomechanics, this topology-based framework yields a unified mechanistic language for describing near-wall hemodynamics, resolving blood flow complexity into interpretable and reproducible coherent fluid structures, enabling standardized hemodynamic phenotyping, and supporting hypothesis-driven studies of aneurysms and other cardiovascular diseases where greater fluid-mechanical specificity and interpretability may strengthen links between mechanobiology and clinical risk.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- approach: deep learning
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Imaging cerebral arteries tortuosity and velocities by transcranial Doppler ultrasound is a reliable assessment of brain aneurysm in mouse models
H. Lebas, A. Boutigny, … Y. BOULAFTALI·bioRxiv·Jan 14, 2022
- Effects of size and elasticity on the relation between flow velocity and wall shear stress in side-wall aneurysms: A lattice Boltzmann-based computer simulation study
H. Wang, T. Krüger, F. Varnik·bioRxiv·Nov 29, 2019
- Computational analysis to assess hemodynamic forces in descending thoracic aortic aneurysms
Francesca Duca, Daniele Bissacco, … Christian Vergara·The Journal of PhysiologyPeer-reviewed·May 28, 2025
- A spatio-temporal model for spontaneous thrombus formation in cerebral aneurysms
Orestis Malaspinas, Alexis Turjman, … Bastien Chopard·bioRxiv·Jul 27, 2015
- Cerebral vascular tortuosity and aneurysm formation and rupture: a novel vessel tortuosity scale
Maxon V. Knott, Naser Hamad, … Robert M Starke·Experimental NeurologyPeer-reviewed·Oct 21, 2025
- Hemodynamic-Structural Multi-Fidelity Assessment of Endovascular Flow Diversion Strategies for Cerebral Aneurysm Treatment: An Integrated Computational and Experimental Framework
Dipu Roy, Farah Sadia Antara, … Jafrin Sultana·bioRxiv·Oct 19, 2026