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ANALYSIS AND CELLULAR INTERROGATION USING THE ELECTROENCEPHALOGRAM

This paper describes the electroencephalographic detection and analysis of scalp potentials utilizing fMRI brain volume data to design stimuli that activate specific visual areas and pathways. Our dual purpose was to reevaluate current scientific models and to investigate the origin of neural activity in response to a specified stimulus. Through data collection and analysis, we tested the widely used three-shell conductivity model of the head. We concluded that this model is inappropriate for source analysis due to inherent model flaws and the disagreement of our experimental observations with model predictions. We approached the problem of dipole current source analysis by first pinpointing the source location within the visual cortex using collected metabolic fMRI data. Then, with our stimulus designed to activate that identified area of the cortex, we recorded electromagnetic scalp distribution patterns. By examining the collected sensory evoked potentials with Fourier analysis, we found frequency components present in the scalp recording at twice the stimulus flicker frequency. By tracing frequency response patterns and identifying corresponding contrast response parameters, we were able to show that fo r our stimulus, the magnocellular pathway was dominant in the flow of visual information from retina to cortex.