BACKGROUND AND PURPOSE: We have previously reported a model of cerebral hydrodynamics in the form of an equivalent electrical circuit. The aim of this work was to demonstrate that the model could predict venous flow patterns seen in the superior sagittal sinus (SSS), straight sinus (STS), and jugular vein (JV) in normal volunteers. MATERIALS AND METHODS: An electrical equivalence model of CSF and cerebral blood flow was fitted to measured arterial and CSF data from 16 healthy volunteers. Predictions of the venous outflow waveform derived from the model were compared with measured venous flows in the SSS, STS, and JV. RESULTS: The model accurately predicted the measured jugular waveform. The measured waveforms from SSS and STS showed a less pronounced and delayed systolic peak compared with the predicted outflow. The fitted bulk model parameters provided relative values that correspond approximately to the impedance of arterial capillaries (1.0), cerebral aqueduct ( approximately 0), venous capillaries ( approximately 0), and arteries (0.01) and for the elastic capacitance of the ventricles (4.11), capillaries ( approximately 0), and veins (271). The elastic capacitance of the major cerebral arteries was large and could not be accurately determined. CONCLUSIONS: We have confirmed the ability of the model to predict the venous waveforms in healthy persons. The absence of any statistically significant component of the venous waveform not described by the model implies that measurements of venous flow could be used to constrain further the model-fitting process.
BACKGROUND AND PURPOSE: We have previously reported a model of cerebral hydrodynamics in the form of an equivalent electrical circuit. The aim of this work was to demonstrate that the model could predict venous flow patterns seen in the superior sagittal sinus (SSS), straight sinus (STS), and jugular vein (JV) in normal volunteers. MATERIALS AND METHODS: An electrical equivalence model of CSF and cerebral blood flow was fitted to measured arterial and CSF data from 16 healthy volunteers. Predictions of the venous outflow waveform derived from the model were compared with measured venous flows in the SSS, STS, and JV. RESULTS: The model accurately predicted the measured jugular waveform. The measured waveforms from SSS and STS showed a less pronounced and delayed systolic peak compared with the predicted outflow. The fitted bulk model parameters provided relative values that correspond approximately to the impedance of arterial capillaries (1.0), cerebral aqueduct ( approximately 0), venous capillaries ( approximately 0), and arteries (0.01) and for the elastic capacitance of the ventricles (4.11), capillaries ( approximately 0), and veins (271). The elastic capacitance of the major cerebral arteries was large and could not be accurately determined. CONCLUSIONS: We have confirmed the ability of the model to predict the venous waveforms in healthy persons. The absence of any statistically significant component of the venous waveform not described by the model implies that measurements of venous flow could be used to constrain further the model-fitting process.
Authors: Andreas A Linninger; Michalis Xenos; Brian Sweetman; Sukruti Ponkshe; Xiaodong Guo; Richard Penn Journal: J Math Biol Date: 2009-02-15 Impact factor: 2.259
Authors: Leonardo A Rivera-Rivera; Tilman Schubert; Patrick Turski; Kevin M Johnson; Sara E Berman; Howard A Rowley; Cynthia M Carlsson; Sterling C Johnson; Oliver Wieben Journal: J Cereb Blood Flow Metab Date: 2016-01-01 Impact factor: 6.200
Authors: M R Levitt; P M McGah; K Moon; F C Albuquerque; C G McDougall; M Y S Kalani; L J Kim; A Aliseda Journal: AJNR Am J Neuroradiol Date: 2016-05-19 Impact factor: 3.825
Authors: Grant A Bateman; Christopher R Levi; Peter Schofield; Yang Wang; Elizabeth C Lovett Journal: Neuroradiology Date: 2008-04-01 Impact factor: 2.804