It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Chiari type 1 malformation is a neurological disorder characterized by an obstruction of the cerebrospinal fluid (CSF) circulation between the brain (intracranial) and spinal cord (spinal) compartments. Actions such as coughing might evoke spinal cord complications in patients with Chiari type 1 malformation, but the underlying mechanisms are not well understood. More insight into the impact of the obstruction on local and overall CSF dynamics can help reveal these mechanisms. Therefore, our previously developed computational fluid dynamics framework was used to establish a subject-specific model of the intracranial and upper spinal CSF space of a healthy control. In this model, we emulated a single cough and introduced porous zones to model a posterior (OBS-1), mild (OBS-2), and severe posterior-anterior (OBS-3) obstruction. OBS-1 and OBS-2 induced minor changes to the overall CSF pressures, while OBS-3 caused significantly larger changes with a decoupling between the intracranial and spinal compartment. Coughing led to a peak in overall CSF pressure. During this peak, pressure differences between the lateral ventricles and the spinal compartment were locally amplified for all degrees of obstruction. These results emphasize the effects of coughing and indicate that severe levels of obstruction lead to distinct changes in intracranial pressure.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Ghent University, Institute of Biomedical Engineering and Technology (IBITECH-BioMMedA), Department of Electronics and Information Systems, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)
2 Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand (GRID:grid.5342.0); University of Auckland, Faculty of Medical and Health Sciences & Centre for Brain Research, Auckland, New Zealand (GRID:grid.9654.e) (ISNI:0000 0004 0372 3343)
3 Ghent University, Institute of Biomedical Engineering and Technology (IBITECH-BioMMedA), Department of Electronics and Information Systems, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798); Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand (GRID:grid.5342.0); University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand (GRID:grid.9654.e) (ISNI:0000 0004 0372 3343)
4 Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand (GRID:grid.9654.e); University of Auckland, Faculty of Medical and Health Sciences & Centre for Brain Research, Auckland, New Zealand (GRID:grid.9654.e) (ISNI:0000 0004 0372 3343)
5 Ghent University, Department of Electromechanical, Systems and Metal Engineering, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)