PubMed Health⌕ Search

PubMed · 5431727

Cerebrospinal fluid pressure.

Abstract

The cerebrospinal fluid pressure at the foramen of Monro in man in the recumbent position is less than 100 mm water relative to atmospheric pressure. The oscillations in the pressure wave due to respiration and cardiac pulsation vary with the actual pressure and increase as the overall pressure rises. In man lying horizontally the oscillation at the foramen of Monro is usually less than 50 mm water pressure, of which the cardiac component is about 15 mm and the respiratory component 35 mm water pressure. The fluid pressure within the cranial cavity is not uniform. In the recumbent face upwards position the pressure at the frontal pole is close to atmospheric or slightly subatmospheric but at the occipital pole is of the order of 160 to 190 mm water pressure. Examples are given showing the effect of posture on cerebrospinal fluid pressures in man and in the goat. The concentration of arachnoid granulations and venous lacunae near the vertex and the pressures in this region are discussed. The need for more precise methods of pressure measurement in the superior sagittal sinus is outlined by citing the Pitot tube. Pressure studies on patients with presenile dementia and dilated cerebral ventricles are reported.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

K C Bradley. 1970. Cerebrospinal fluid pressure.. https://doi.org/10.1136/jnnp.33.3.387

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

A penalized likelihood approach to magnetic resonance image reconstruction.

Currently, images acquired via magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) technology are reconstructed using the discrete inverse Fourier transform. While computationally convenient, this approach is not able to filter out noise. This is a serious limitation because the amount of noise in MRI and fMRI can be substantial. In this paper, we propose an alternative approach to reconstruction, based on penalized likelihood methodology. In particular, we focus on non-linear shrinkage estimators and show that this approach achieves a great reduction in integrated mean squared error (IMSE) of the estimated image with respect to the currently used estimator. This approach is extremely fast and easy to implement computationally. In addition, it can be combined with various alternative approaches to MR image reconstruction and can be easily adapted to other, non-MRI contexts, in which the observed data and the quantities of interest are related via a linear transform.

Brain Diseases↗