Abstract
Separation and localisation of P300 sources and their constituent subcomponents for both visual and audio stimulations is investigated in this paper. An effective constrained blind source separation (CBSS) algorithm is developed for this purpose. The algorithm is an extension of the Infomax BSS system for which a measure of distance between a carefully measured P300 and the estimated sources is used as a constraint. During separation, the proposed CBSS method attempts to extract the corresponding P300 signals. The locations of the corresponding sources are then estimated with some indeterminancy in the results. It can be seen that the locations of the sources change for a schizophrenic patient. The experimental results verify the statistical significance of the method and its potential application in the diagnosis and monitoring of schizophrenia.
Highlights
Event-related potentials (ERPs) are those electroencephalograms (EEGs) which directly measure the electrical response of the cortex to sensory, affective, and/or cognitive events
We develop a constrained algorithm based on Infomax to separate P300 sources and their subcomponents
independent component analysis (ICA) in general does not produce unique outputs and we aim to develop an algorithm that ensures that the desired P300 source is one of the estimated sources
Summary
Event-related potentials (ERPs) are those electroencephalograms (EEGs) which directly measure the electrical response of the cortex to sensory, affective, and/or cognitive events. Overlapping components of the ERP which represent specific stages of information processing are difficult to distinguish [1, 2]. An example is the composite P300 wave, a positive ERP component which occurs with a latency of about 300 milliseconds after novel stimuli, or task relevant stimuli, requiring an effortful response on the part of the individual under test [1,2,3,4,5]. The P300 wave represents cognitive functions involved in orientation of attention, contextual updating, response modulation, and response resolution [1, 3], and consists of multiple overlapping subcomponents, two of which are identified as P3a and P3b [2, 5].
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