No abstract

The electric conductivities of different tissues are important parameters of the head model and their precise knowledge appears to be a prerequisite for the localization of electric sources within the brain. To estimate the error in source localization due to errors in assumed conductivity values, parameter variations on skull conductivities are examined. The skull conductivity was varied in a wide range and, in a second part of this paper, the effect of a nonhomogeneous skull conductivity was examined. An error in conductivity of lower than 20% appears to be acceptable for fine finite element head models with average discretization errors down to 3 mm. Nonhomogeneous skull conductivities, e.g., sutures, yield important mislocalizations especially in the vincinty of electrodes and should be modeled.

The paper focuses on the numerical determination of Patir and Cheng’s flow factors for general roughness patterns. Improved procedures for the generation of surface roughness and flow simulation are presented. It is shown that application of these techniques resolves differences to analytical solutions of Elrod and Tripp and reduces the scatter in the results to a reasonable degree. Flow factor charts are given for the ‘standard’ Gaussian/Peklenik roughness and for sintered surfaces with high skewness.

Following median nerve stimulation, several monophasic peaks were recorded at the scalp in the 15-18 ms time range. Source analysis, using three different methods, modelled a source near the centre of the head with an orientation towards the activated hemisphere and a peak activity at 16 ms post stimulus. Magnetic recordings detected no signal in this time range, which confirmed a subcortical location of the source. From dipole localization it was not possible to assign the exact origin of the P16 source to either the subthalamic level or the thalamo-cortical radiation, because of the limited spatial resolution at the centre of the spherical head model. An estimate of the conduction velocity of the medial lemniscus pointed towards a subthalamic origin. The P16 source was preserved in two patients with a lesion of the thalamo-cortical radiation and the ventral thalamus. Further evidence for a subthalamic location of P16 was derived from the physical mechanisms generating far-field potentials.

A method for identifying the distributed rotor imbalance from aircraft engine vibrations measured on the casing of the engine is presented. The problem is heavily ill-posed. Nonlinear regularization techniques for linear inverse problems and nonlinear functionals are suggested for stable reconstruction algorithms