Deconvolution analysis of target evoked potentials.
This paper demonstrates a method for analyzing target evoked potentials in an auditory oddball task, using Wiener deconvolution to separate the brain's task-dependent properties from its task-invariant response. It is shown that a target response can be deconvolved, and the result contains two delta-like peaks separated by approximately 100 ms, implying that targets resemble a superposition of two standard responses. The latencies and areas of these delta-like peaks give quantitative measures of the evoked potential, providing a method of analysis that is simpler and more physiologically meaningful than peak scoring. This deconvolution method is applied to both synthetic and experimental evoked potential data, and is demonstrated to be applicable even when normal evoked potential features are not clearly visible.
Kerr
Cliff C
CC
School of Physics, University of Sydney, New South Wales, Australia. ckerr@physics.usyd.edu.au
Rennie
Christopher J
CJ
Robinson
Peter A
PA
D000328:Adult; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D004569:Electroencephalography; D005071:Evoked Potentials; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult