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Biomedical subjects

J L Shils

Publications and source records attributed to J L Shils.

2 recordsLinked to original sources

Intraoperative microelectrode recording equipment: what features are necessary?

Intraoperative neurophysiologic methods for localizing targets deep in the brain require the use of specialized monitoring and recording equipment, including stimulators, neurophysiologic recording devices, and image manipulation tools. When using microelectrode recording devices there are some specifications that are more important than others, such as signal-to-noise ratios and amplifier impedance. As more companies develop tools to be used in the operating room, the end users have more choices. Some of the more important specifications are discussed and a comparison is made of the five major brands on the market today.

Action Potentials↗

Bispectral analysis of visual interactions in humans.

Previous electrophysiological studies have demonstrated interactions between dichoptic visual stimuli presented to the same location in visual space. In this study, we used non-liner spectral analysis, in particular the bispectrum, to study interactions between the electrocerebral activity resulting from stimulation of the left and right visual fields. The stimulus consisted of two squares, one in each visual field, flickering at different frequencies. Bispectra, bichoherence and biphase were calculated for 8 subjects monocularly observing a visual stimulus. Both phase vs. frequency and biphase vs. frequency plots were made to determine weighted time delays from stimulus application to signal appearance in the EEG electrodes. Bispectral analysis reveals non-liner interactions between visual fields occurring with weighted delay times of 410 + / - 58 msec while non-interactive components propagated with weighted time delays of 202 + / - 39 msec. Evaluating these results in light of the predictions of various models, we were able to conclude that this interaction does not occur in the retina. These results illustrate how bispectral analysis can be a powerful tool in analyzing the connectivity of neural networks in complex systems. It allows different neuronal systems to be labeled with stimuli at specific frequencies, whose connections can be traced using frequency analysis of the scalp EEG.

Color Perception↗