Jeffrey Tithof

This study develops a computational model of cervical lymphatic vessels to simulate CSF drainage and valve function, revealing dynamics of pumping and transport under different pressure conditions.

This study uses high frame rate two-photon microscopy to quantify spatial heterogeneity and pulsatility of CSF flow in mice, showing it is an emergent property of the hydraulic network.

This study develops a novel boundary condition for modeling Aβ transport across the BBB, showing its sensitivity to receptor ratios and blood clearance rates during sleep and pathological conditions.

The paper models CSF drainage through cervical lymphatic vessels using a lumped parameter approach, revealing key physical characteristics and flow dynamics.

The paper presents image analysis techniques for in vivo quantification of cerebrospinal fluid flow using fluorescent microspheres and discusses methods for measuring arterial diameter changes and applying these techniques to cervical lymphatic vessels.

The paper models glymphatic flow as a network of hydraulic resistances under different parametric scenarios to identify key parameters influencing CSF dynamics.

The paper demonstrates that bulk CSF flow in periarterial spaces is not an artifact of injection, using a dual-syringe system that prevents volume changes and pressure increases.

The paper shows that the observed shapes of perivascular spaces (PVSs) in the brain have lower hydraulic resistance than concentric, circular annuli, allowing faster cerebrospinal fluid flow.