Details

Autor(en) / Beteiligte

• Johnson, Michael L.,
• Veldhuis, Johannes D

Titel

Quantitative neuroendocrinology [electronic resource]

Link zum Volltext

• Elsevier Books AutoHoldings

Beschreibungen/Notizen

• Description based upon print version of record.
• Includes bibliographical references and index.
• Front Cover; Quantitative Neuroendocrinology; Copyright Page; Table of Contents; Contributors to Volume 28; Preface; Volumes in Series; Chapter 1. Evolution of Deconvolution Analysis as a Hormone Pulse Detection Method; Chapter 2. Specific Methodological Approaches to Selected Contemporary Issues in Deconvolution Analysis of Pulsatile Neuroendocrine Data; Chapter 3. Physiological within Subject Variability and Test-Retest Reliability of Deconvolution Analysis of Luteinizing Hormone Release
• Chapter 4. Methods for Validating Deconvolution Analysis of Pulsatile Hormone Release: Luteinizing Hormone as a ParadigmChapter 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: Estimating Basal Secretion and Neurohormore Half-Life by Deconvolution Analysis; Chapter 6. Techniques for Assessing Ultradian Rhythms in Hormonal Secretion
• Chapter 7. Frequency Domain Analysis of High-Frequency Ultradian Plasma Adrenocorticotropic Hormone and Glucocorticoid FluctuationsChapter 8. Monitoring Dynamic Responses of Perifused Neuroendocrine Tissues to Stimuli in Real Time; Chapter 9. Realistic Emulation of Highly Irregular Temporal Patterns of Hormone Release"" A Computer-Based Pulse Simulator; Chapter 10. Simulation of Peptide Prohormone Processing and Peptidergic Granule Transport and Release in Neurosecretory Cells
• Chapter 11. Systems-Level Analysis of Physiological Regulatory Interactions Controlling Complex Secretory Dynamics of the Growth Hormone Axis: A Dynamical Network ModelChapter 12. Implementation of a Stochastic Model of Hormonal Secretion; Chapter 13. Modeling the Impact of Neuroendocrine Secretogogue Pulse Trains on Hormone Secretion; Chapter 14. Quantifying Complexity and Regularity of Neurobiological Systems; Chapter 15. Methods for the Evaluation of Saltatory Growth in Infants; Chapter 16. Analysis of Calcium Fertilization Transients in Mouse Oocytes; Index
• 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
• English