TY - CHAP
T1 - Realistic emulation of highly irregular temporal patterns of hormone release
T2 - A computer-based pulse simulator
AU - Straume, Martin
AU - Johnson, Michael L.
AU - Veldhuis, Johannes D.
N1 - Funding Information:
Support has been provided by the National Science Foundation Center for Biological Timing (DIR 8920162), an NIH NICHD RCDA award to J.D.V. (1K04HD00634), the NIH NICHD Reproduction Research Center at the University of Virginia Health Sciences Center (1P30HD28934-01A1; J.D.V.), the NIH Center for Fluorescence Spectroscopy of the University of Maryland at Baltimore (RR-08119; M.L.J.), and NIH Grant GM35154 (M.L.J.).
PY - 1995/1/1
Y1 - 1995/1/1
N2 - This chapter describes a computational strategy for generating synthetic hormone concentration time series that accurately reproduce: (1) the types of temporal patterning observed in empirical studies examining pulsatile hormone release, and (2) the distribution and magnitudes of uncertainties encountered in experimental determinations of hormone concentrations in unknown samples. The model is constructed in a manner, to facilitate embodying the types of quantitative relationships frequently used to characterize endocrine secretory activity. Because endocrine systems appear to communicate information by intermittent secretory bursts rather than direct modulation of continuous secretory activity, analysis, and interpretation of experimentally determined hormone concentration time-series profiles often require quantitative consideration of complex temporal patterns. Pulse simulator provides a mechanism for recreating as realistically as possible the temporal patterning of peak locations and amplitudes of hormone concentration time series observed in actual empirical studies. The model is thus, defined within the context of the same quantifiable properties commonly elucidated from analysis of real data that are used to interpret time-dependent behavior of hormone secretory activity. The pulse simulator described in the chapter has incorporated within it a specific mechanism for superimposing variability on and providing uncertainty estimates for individual concentration time points, which realistically reflect the actual distribution and magnitude of uncertainty expected from hormone concentration determinations carried out in the experimental setting.
AB - This chapter describes a computational strategy for generating synthetic hormone concentration time series that accurately reproduce: (1) the types of temporal patterning observed in empirical studies examining pulsatile hormone release, and (2) the distribution and magnitudes of uncertainties encountered in experimental determinations of hormone concentrations in unknown samples. The model is constructed in a manner, to facilitate embodying the types of quantitative relationships frequently used to characterize endocrine secretory activity. Because endocrine systems appear to communicate information by intermittent secretory bursts rather than direct modulation of continuous secretory activity, analysis, and interpretation of experimentally determined hormone concentration time-series profiles often require quantitative consideration of complex temporal patterns. Pulse simulator provides a mechanism for recreating as realistically as possible the temporal patterning of peak locations and amplitudes of hormone concentration time series observed in actual empirical studies. The model is thus, defined within the context of the same quantifiable properties commonly elucidated from analysis of real data that are used to interpret time-dependent behavior of hormone secretory activity. The pulse simulator described in the chapter has incorporated within it a specific mechanism for superimposing variability on and providing uncertainty estimates for individual concentration time points, which realistically reflect the actual distribution and magnitude of uncertainty expected from hormone concentration determinations carried out in the experimental setting.
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U2 - 10.1016/S1043-9471(06)80035-2
DO - 10.1016/S1043-9471(06)80035-2
M3 - Chapter
AN - SCOPUS:0000591989
T3 - Methods in Neurosciences
SP - 220
EP - 243
BT - Methods in Neurosciences
ER -