A preliminary feasibility study reported in this proposal suggests that a specific form of dynamical instability may result in the paroxysmal discharge antecedent to focal epileptic seizures. This behavior has been termed """"""""deterministic chaos"""""""" and can be exhibited by differential equations including those that describe simple feedback circuits. The type of solution exhibited by a differential equation is not fixed. The same equation may display transitions between steady state, periodic or caotic motion as the result of small changes in the numerical values of constant parameters. Analogous parameter dependent transitions have been observed experimentally in electronic circuits, chemical reactions and during the transition to turbulent fluid flow. The proposed investigation considers a restricted problem: can neural systems enter regions of chaotic behavior? An initial goal is the prediction of parameter values (drug concentrations and ionic environments) that could result in chaotic neural output. A precise knowledge of the dependence of dynamical behavior on parameters that can be regulated pharmacologically may identify procedures for effecting a reverse transition from chaos to the normal state. A systematic mathematical investigation is essential because the large number of independent parameters make immediate recourse to trial and error animal experimentation unacceptably slow and expensive.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS019716-03
Application #
3399817
Study Section
(SSS)
Project Start
1983-07-01
Project End
1986-06-30
Budget Start
1985-07-01
Budget End
1986-06-30
Support Year
3
Fiscal Year
1985
Total Cost
Indirect Cost
Name
Allegheny University of Health Sciences
Department
Type
Schools of Medicine
DUNS #
City
Philadelphia
State
PA
Country
United States
Zip Code
19129
Rapp, P E; Schmah, T (1996) Complexity measures in molecular psychiatry. Mol Psychiatry 1:408-16
Theiler, J; Rapp, P E (1996) Re-examination of the evidence for low-dimensional, nonlinear structure in the human electroencephalogram. Electroencephalogr Clin Neurophysiol 98:213-22
Rapp, P E (1994) A guide to dynamical analysis. Integr Physiol Behav Sci 29:311-27
Farwell, L A; Martinerie, J M; Bashore, T R et al. (1993) Optimal digital filters for long-latency components of the event-related brain potential. Psychophysiology 30:306-15
Rapp, P E; Bashore, T R; Martinerie, J M et al. (1989) Dynamics of brain electrical activity. Brain Topogr 2:99-118
Zimmerman, I D; Rapp, P E (1989) Saltatory transitions are a naturally occurring property of evolving systems. Biol Cybern 62:167-75
Rapp, P E; Latta, R A; Mees, A I (1988) Parameter-dependent transitions and the optimal control of dynamical diseases. Bull Math Biol 50:227-53
Rapp, P E (1987) Why are so many biological systems periodic? Prog Neurobiol 29:261-73
Rapp, P E (1985) Communication and control in reproduction: the ubiquity of periodic phenomena. Biol Reprod 32:70-2