In this volume contemporary methods designed to provide insights into, mathematical structure for, and predictive inferences about neuroendocrine control mechanisms are presented. Key Features* Collates an array of contemporary techniques for analysis of neuroendocrine data* Discusses current problems in and solutions to neurohormone pulse analysis* Identifies relevant software available
Author(s): Michael L. Johnson and Johannes D. Veldhuis (Eds.)
Series: Methods in Neurosciences 28
Publisher: Elsevier, Academic Press
Year: 1995
Language: English
Pages: 1-433
Content:
Contributors to volume 28
Pages vii-ix
Preface
Pages xi-xii
Michael L. Johnson, Johannes D. Veldhuis
Methods in neurosciences
Pages xiii-xiv
[1] Evolution of deconvolution analysis as a hormone pulse detection method Original Research Article
Pages 1-24
Michael L. Johnson, Johannes D. Veldhuis
[2] Specific methodological approaches to selected contemporary issues in deconvolution analysis of pulsatile neuroendocrine data Original Research Article
Pages 25-92
Johannes D. Veldhuis, Michael L. Johnson
[3] Physiological within subject variability and test-retest reliability of deconvolution analysis of luteinizing hormone release Original Research Article
Pages 93-108
Thomas Mulligan, Michael L. Johnson, Johannes D. Veldhuis
[4] Methods for validating deconvolution analysis of pulsatile hormone release: Luteinizing hormone as a paradigm Original Research Article
Pages 109-129
Thomas Mulligan, Michael L. Johnson, Johannes D. Veldhuis
[5] Complicating effects of highly correlated model variables on nonlinear least-squares estimates of unique parameter values and their statistical confidence intervals: Estimating basal secretion and neurohormone half-life by deconvolution analysis Original Research Article
Pages 130-138
Johannes D. Veldhuis, William S. Evans, Michael L. Johnson
[6] Techniques for assessing ultradian rhythms in hormonal secretion Original Research Article
Pages 139-155
Jeppe Sturis, Eve Van Cauter
[7] Frequency domain analysis of high-frequency ultradian plasma adrenocorticotropic hormone and glucocorticoid fluctuations Original Research Article
Pages 156-187
Molly Carnes, Brian Goodman
[8] Monitoring dynamic responses of perifused neuroendocrine tissues to stimuli in real time Original Research Article
Pages 188-219
A.R. Midgley, R.M. Brand, P.A. Favreau, B.G. Boving, M.N. Ghazzi, V. Padmanabhan, E.Y. Young, H.C. Cantor
[9] Realistic emulation of highly irregular temporal patterns of hormone release: A computer-based pulse simulator Original Research Article
Pages 220-243
Martin Straume, Michael L. Johnson, Johannes D. Veldhuis
[10] Simulation of peptide prohormone processing and peptidergic granule transport and release in neurosecretory cells Original Research Article
Pages 244-269
Daniel K. Hartline, Robert Whitney Newcomb, Robert Wayne Newcomb
[11] Systems-level analysis of physiological regulatory interactions controlling complex secretory dynamics of the growth hormone axis: A dynamical network model Original Research Article
Pages 270-310
Lubin Chen, Johannes D. Veldhuis, Michael L. Johnson, Martin Straume
[12] Implementation of a stochastic model of hormonal secretion Original Research Article
Pages 311-323
Daniel Keenan
[13] Modeling the impact of neuroendocrine secretogogue pulse trains on hormone secretion Original Research Article
Pages 324-335
James E.A. McIntosh, Rosalind P. Murray-McIntosh
[14] quantifying complexity and regularity of neurobiological systems Original Research Article
Pages 336-363
Steven M. Pincus
[15] Methods for the evaluation of saltatory growth in infants Original Research Article
Pages 364-387
Michael L. Johnson, Michelle Lampl
[16] Analysis of calcium fertilization transients in mouse oocytes Original Research Article
Pages 388-423
W. Otto Friesen, Timothy R. Cheek, Orla M. McGuinness, Roger B. Moreton, Michael J. Berridge
Index
Pages 425-433
