Self-organized segmentation of time series: Separating growth hormone secretion in acromegaly from normal controls

Biophysical Journal

Volumn 70, Issue 6, 1996, Pages 2540-2547

  Prank, Klaus ^a   Kloppstech, Mirko ^a   Nowlan, Steven J ^b,c   Sejnowski, Terrence J ^c,d   Brabant, Georg ^a  

^a HANNOVER MEDICAL SCHOOL   (Germany)

^b MOTOROLA INC   (United States)

^c HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GROWTH HORMONE; OCTREOTIDE; PARATHYROID HORMONE;

ACROMEGALY; ADULT; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; GROWTH HORMONE BLOOD LEVEL; GROWTH HORMONE RELEASE; HORMONAL REGULATION; HUMAN; MALE; NERVE CELL NETWORK; OSTEOPOROSIS; PARATHYROID HORMONE RELEASE; PULSATILE HORMONE RELEASE;

EID: 0030029467     PISSN: 00063495     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0006-3495(96)79825-9     Document Type: Article

References (38)

1. Abeles, M. 1991. Corticonics: Neural Circuits of the Cerebral Cortex. Cambridge University Press, Cambridge.
2. Barlow, H. B. 1972. Single units and sensation: a neuron doctrine for perceptual psychology? Perception. 1:371-394.
3. Blinowska, K. J., and M. Malinowksi. 1991. Non-linear and linear forecasting of the EEG time series. Biol. Cybern. 66:159-165.
4. Brabant, G., K. Prank, and C. Schöfl. 1992. Pulsatile patterns in hormone secretion. Trends Endocrinol. Metab. 3:183-190.
5. Chang, T., S. J. Schiff, T. Sauer, J. P. Gossard, and R. E. Burke. 1994. Stochastic versus deterministic variability in simple neuronal circuits. I. Monosynaptic spinal cord reflexes. Biophys. J. 67:671-683.
6. Clark, R. G., J. O. Jansson, O. Isaksson, and I. C. Robinson. 1985. Intravenous growth hormone: growth responses to patterned infusions in hypophysectomized rats. J. Endocrinol. 104:53-61.
7. Engel, A., P. König, A. Kreiter, T. Schulen, and W. Singer. 1992. Temporal coding in the visual cortex - new vistas on integration in the nervous system. Trends Neurosci. 15:218-222.
8. Ferster, D., and N. Spruston. 1995. Cracking the neuronal code. Science. 270:756-757.
9. Haisenleder, D. J., G. A. Ortolano, A. C. Dalkin, M. Yasin. and J. C. Marshall. 1992. Differential actions of thyrotropin (TSH)-releasing hormone pulses in the expression of prolactin and TSH subunit messenger ribonucleic acid in rat pituitary cells in vitro. Endocrinology. 130: 2917-2923.
10. Hampshire, J., and A. Waibel. 1989. The meta-pi network: building distributed knowledge representations for robust pattern recognition, technical report CMU-CS-89-166. Carnegie Mellon University, Pittsburgh, PA.
11. Ho, K. Y., J. D. Veldhuis, M. L. Johnson, R. Furlanetto, W. S. Evans, K. G. M. M. Alberti, and M. O. Thorner. 1988. Fasting enhances growth hormone secretion and amplifies the complex rhythms of growth hormone secretion in man. J. Clin. Invest. 81:968-975.
12. Isgaard, J., L. Carlsson, O. G. Isaksson, and J. O. Jansson. 1988. Pulsatile intravenous growth hormone (GH) infusion to hypophysectomized rats increases insulin-like growth factor I messenger ribonucleic acid in skeletal tissues more effectively than continuous GH infusion. Endocrinology. 123:2605-2610.
13. Jacobs, R. A., M. I. Jordan, S. J. Nowlan, and G. E. Hinton. 1991. Adaptive mixtures of local experts. Neural Comp. 3:79-87.
14. Jordan, M. I., and R. A. Jacobs. 1994. Hierachical mixtures of experts and the EM algorithm. Neural Comp. 6:181-214.
15. Knobil, E. 1980. The neuroendocrine control of the menstrual cycle. Recent Prog. Horm. Res. 36:53-88.
16. Lapedes, A. S., and R. M. Farber. 1987. Nonlinear signal processing using neural networks: prediction and system modeling, technical report LAUR-87-2662. Los Alamos National Laboratory, Los Alamos, NM.
17. Lefebvre, J. H., D. A. Goodings, M. V. Kamath. and E. L. Fallen. 1993. Predictability of normal heart rhythms and deterministic chaos. Chaos. 3:267-276.
18. Mainen, Z. F., and T. J. Sejnowski. 1995. Reliability of spike timing in neocortical neurons. Science. 268:1503-1506.
19. Nowlan, S. J. 1990. Competing experts: an experimental investigation of associative mixture models, technical report CRG-TR-90-5. Department of Computer Science, University of Toronto, Toronto, Canada.
20. Nowlan, S. J. 1991. Soft competitive adaptation: neural network learning algorithms based on fitting statistical mixtures. Ph.D. thesis, CMU-CS-91 -126. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA. 110-130.
21. Nowlan, S. J., and G. E. Hinton. 1992. Simplifying neural networks by soft weight-sharing. Neural Comp. 4:473-493.
22. Pawelzik, K., J. Kohlmorgen, and K. R. Müller. 1996. Annealed competition of experts for a segmentation and classification of switching dynamics. Neural Comp. 8:340-356.
23. Prank, K., and G. Brabant. 1994. Estimating thyrotropin secretory activity by a deconvolution procedure. Methods Neurosci. 20:377-389.
24. Prank, K., S. J. Nowlan, H. M. Harms, M. Kloppstech, G. Brabant, R. D. Hesch, and T. J. Sejnowski. 1995. Time series prediction of plasma hormone concentration: Evidence for differences in predictability of parathyroid hormone secretion between osteoporotic patients and normal controls. J. Clin. Invest. 95:2910-2919.
25. Riedel, M., T. Günther, A. von zur Mühlen, and G. Brabant. 1992. The pulsatile GH secretion in acromegaly: hypothalamic or pituitary origin? Clin. Endocrinol. (Oxf.). 37:233-239.
26. Riedel, M., B. Hoeft, W. F. Blum, A. von zur Mühlen, and G. Brabant. 1995. Pulsatile growth hormone (GH) secretion in lean, and obese men: differential metabolic regulation of GH release during energy restriction. Metabolism. 44:605-610.
27. Santoro, N., M. Filicori, and W. F. Crowley. 1986. Hypogonadotropic disorders in men and women: diagnosis and therapy with pulsatile gonadotropin-releasing hormone. Endocr. Rev. 7:11-23.
28. Schiff, S. J ., K. Jerger, T. Chang, T. Sauer, and P. G. Aitken. 1994. Stochastic versus deterministic variability in simple neuronal circuits. II. Hippocampal slice. Biophys. J. 67:684-691.
29. 1-receptor stimulation regulate amplitude and frequency of calcium transients. Am. J. Physiol. 265:C1030-C1036.
30. Scott, D. A., and S. J. Schiff. 1995. Predictability of EEG interictal spikes. Biophys. J. 69:1748-1757.
31. Shupnik, M. A. 1990. Effects of gonadotropin-releasing hormone on rat gonadotropin gene transcription in vitro: requirement for pulsatile administration for luteinizing hormone β-gene stimulation. Mol. Endocrinol. 4:1444-1450.
32. Sugihara, G. 1994. Nonlinear forecasting for the classification of natural time series. Phil. Trans. R. Soc. Lond. A. 348:477-495.
33. Sugihara, G., and R. M. May. 1990. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature. 344:734-741.
34. Tsonis, A. A., and J. B. Eisner. 1992. Nonlinear prediction as a way of distinguishing chaos from random fractal sequences. Nature. 358: 217-220.
35. Waxman, D. J., N. A. Pampori, P. A. Ram, A. K. Agrawal, and B. H. Shapiro. 1991. Interpulse interval in circulating growth hormone patterns regulates sexually dimorphic expression of hepatic cytochrome P450. Proc. Natl. Acad. Sci. USA. 88:6868-6872.
36. Weigend, A. S., and N. A. Gershenfeld. 1993. Time Series Prediction: Forecasting the Future and Understanding the Past. SFI Studies in the Sciences of Complexity, Proceedings Vol. 15. Addison-Wesley, Reading, MA.
37. Weigend, A. S., B. A. Huberman, and D. E. Rumelhart. 1990. Predicting the future: a connectionist approach. Int. J. Neur. Sys. 1:193-209.
38. Weigle, D. S., and C. J. Goodner. 1986. Evidence that the physiological pulse frequency of glucagon secretion optimizes glucose production by perifused rat hepatocytes. Endocrinology. 118:1606-1613.