We present two of our waveform-specific and waveform-independent deconvolution methodologies and illustrate their application in three domains: (i) validating discrete hormone peak-detection methods, such as Cluster analysis; (ii) estimating the influence of one or more high-affinity plasma-binding proteins on the time course of free, bound, and total hormone, when a neurohormone is secreted into the bloodstream in the form of a nonlinear pulse; and (iii) evaluating the coincident behavior of multiple neuroendocrine pulse trains, given nonuniformity of peak frequency over time, unequal peak amplitudes and durations, and varying baselines of hormone secretion. In short, the development, refinement, and extension of deconvolution technologies in the arena of neuroscience investigation now offer a substantial and informative foundation for reliable statistical quantitation of neuroendocrine data.
|Original language||English (US)|
|Number of pages||47|
|Journal||Methods in Neurosciences|
|State||Published - Jan 1 1994|
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