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Your search keyword '"Bilston, Lynne E."' showing total 24 results

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24 results on '"Bilston, Lynne E."'

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1. Changes in intrathoracic pressure, not arterial pulsations, exert the greatest effect on tracer influx in the spinal cord.

2. Tachycardia and hypertension enhance tracer efflux from the spinal cord.

3. Fluid outflow in the rat spinal cord: the role of perivascular and paravascular pathways.

4. The ultrastructure of spinal cord perivascular spaces: Implications for the circulation of cerebrospinal fluid.

5. Sustained high-pressure in the spinal subarachnoid space while arterial expansion is low may be linked to syrinx development.

6. Aquaporin-4 expression and blood-spinal cord barrier permeability in canalicular syringomyelia.

7. The influence of the relative timing of arterial and subarachnoid space pulse waves on spinal perivascular cerebrospinal fluid flow as a possible factor in syrinx development.

8. The mechanical properties of neonatal rat spinal cord in vitro, and comparisons with adult.

9. The effects of preconditioning strain on measured tissue properties.

10. The development of an improved physical surrogate model of the human spinal cord--tension and transverse compression.

11. Rheological properties of the tissues of the central nervous system: a review.

12. Contrasting biomechanics and neuropathology of spinal cord injury in neonatal and adult rats following vertebral dislocation.

13. The mechanical properties of rat spinal cord in vitro.

14. Arterial pulsation-driven cerebrospinal fluid flow in the perivascular space: a computational model.

17. A novel method to quantify perivascular space enlargement near the syrinx in a rodent model of post-traumatic syringomyelia.

18. Aquaporin-4 expression and modulation in a rat model of post-traumatic syringomyelia.

20. Phase offset between arterial pulsations and subarachnoid space pressure fluctuations are unlikely to drive periarterial cerebrospinal fluid flow.

24. The presence of arachnoiditis affects the characteristics of CSF flow in the spinal subarachnoid space: A modelling study

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