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Award ID contains: 1723550

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  1. (, AIP conference proceedings)
    null (Ed.)
    Computational simulations of the biofluid flow in the ventricles in the brain are performed using computational fluid dynamics method. The head movements considered are head nodding motions. The cerebrospinal fluid flow is modeled as a Newtonian fluid with properties at the core body temperature. The motions of the brain are associated with two head motions. One is the normal nodding that is customarily signaling agreement and the second represents a hypnogogic jerk. The results of the simulations show that the cerebrospinal fluid flows in the brain ventricle are moderately affected by the light nodding, but the effects are more significant during the hypnagogic jerk motion, where mixing of the cerebrospinal fluid is distinctly enhanced. The outcomes illustrate that the head motions are significant drivers of ventricular cerebrospinal fluid flow simulated. 
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    Accepted Manuscript Full Text Available
  2. ; ; (, 6th International Conference on Computational and Mathematical Biomedical Engineering)
    The cerebrospinal fluid surrounds the brain and the spinal cord, and is believed to be a potential risk factor to many CNS diseases. The biomechanics of the CSF flow in the brain ventricles is poorly understood due partly to the difficulty in obtaining the flow data in vivo. This paper describes the outcomes of a computational study to examine the elastic response of the walls of the ventricles and its effects on the flow. Comparisons of the simulated results are guided by clinical data obtained with the Time-SLIP MRI, which captures ventricular CSF flows in real time in vivo. 
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    Accepted Manuscript Full Text Available
  3. ; ; (, 6th International Conference on Computational and Mathematical Biomedical Engineering)
    The cerebrospinal fluid surrounds the brain and the spinal cord, and is believed to be a potential risk factor to many CNS diseases. The biomechanics of the CSF flow in the brain ventricles is poorly understood due partly to the difficulty in obtaining the flow data in vivo. This paper describes the outcomes of a computational study to examine the elastic response of the walls of the ventricles and its effects on the flow. Comparisons of the simulated results are guided by clinical data obtained with the Time-SLIP MRI, which captures ventricular CSF flows in real time in vivo. 
    more » « less
    Accepted Manuscript Full Text Available