Three-dimensional Flow Profile in the Ventral Third Ventricle of the Brain

ORAL

Abstract

A complex transport network driven by coordinated motile cilia inside the ventral third ventricle (v3V) of mammalian brain was recently reported. This network generates cerebrospinal fluid (CSF) flow patterns such as a separatrix and a whirl that establish intraventricular boundaries. The CSF flow in the overall three-dimensional v3V cavity was studied numerically via the Lattice Boltzmann Method and Immersed Boundary Method. In particular, the experimental trajectory data obtained by tracking fluorescent beads were converted to velocity vectors and processed by the Smoothed Particle Hydrodynamics. The velocity maps were refined by considering divergence-free and projected onto a curved virtual surface representing cilia tips, with a constant gap from the v3V wall. Three-dimensional flow features with likely physiological consequences were uncovered numerically.

*We thank the Max Planck Society for financial support. This work is conducted within the Physics and Medicine Initiative at Goettingen Campus between Max Planck Society and University Medicine Center.

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Presenters

  • Yong Wang

    • Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization

Authors

  • Yong Wang

    • Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization

  • Christian Westendorf

    • Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization

  • Regina Faubel

    • Department of Developmental Biology, University of Pittsburgh

  • Gregor Eichele

    • Department of Genes and Behavior, Max Planck Institute for Biophysical Chemistry

  • Eberhard Bodenschatz

    • Max Planck Inst
    • Max Planck Institute for Dynamics and Self-Organization
    • LFPB, MPI for Dynamics and Self-Organization
    • Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization