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Titolo:
Bistability dynamics in simulations of neural activity in high-extracellular-potassium conditions
Autore:
Hahn, PJ; Durand, DM;
Indirizzi:
Case Western Reserve Univ, Dept Neurosci, Ctr Neural Engn, Cleveland, OH 44106 USA Case Western Reserve Univ Cleveland OH USA 44106 Cleveland, OH 44106 USA Case Western Reserve Univ, Dept Biomed Engn, Cleveland, OH 44106 USA Case Western Reserve Univ Cleveland OH USA 44106 Cleveland, OH 44106 USA
Titolo Testata:
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
fascicolo: 1, volume: 11, anno: 2001,
pagine: 5 - 18
SICI:
0929-5313(200107/08)11:1<5:BDISON>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
RAT HIPPOCAMPAL SLICE; EPILEPTIFORM ACTIVITY; HUXLEY EQUATIONS; FIRING PATTERNS; CA3 REGION; MODEL; HODGKIN; EXCITABILITY; MODULATION; MEMBRANE;
Keywords:
hippocampus; epilepsy; CA3 region; phase resetting; modeling;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
43
Recensione:
Indirizzi per estratti:
Indirizzo: Hahn, PJ Case Western Reserve Univ, Dept Neurosci, Ctr Neural Engn, Cleveland, OH 44106 USA Case Western Reserve Univ Cleveland OH USA 44106 d, OH 44106 USA
Citazione:
P.J. Hahn e D.M. Durand, "Bistability dynamics in simulations of neural activity in high-extracellular-potassium conditions", J COMPUT N, 11(1), 2001, pp. 5-18

Abstract

Modulation of extracellular potassium concentration ([K](o)) has a profound impact on the excitability of neurons and neuronal networks. In the CA3 region of the rat hippocampus synchronized epileptiform bursts occur in conditions of increased [K](o). The dynamic nature of spontaneous neuronal firing in high [K](o) is, therefore of interest. One particular interest is thepotential presence of bistable behaviors such as the coexistence of stablerepetitive firing and fixed rest potential states generated in individual cells by the elevation of [K](o). The dynamics of repetitive activity generated by increased [K](o) is investigated in a 19-compartment hippocampal pyramidal cell (HPC) model and a related two-compartment reduced HPC model. Results. are compared wi th those for the Hodgkin-Huxley equations in similar conditions. For neural models, [K](o) changes are simulated as a shift inthe potassium reversal potential (E-K). Using phase resetting and bifurcation analysis techniques, all three models are shown to have specific regions of E-K that result in bistability. For activity in bistable parameter regions, stimulus parameters are identified that switch high-potassium. model behavior from repetitive firing to a quiescent state. Bistability in the HPC models is limited to a very small parameter region. Consequently, our results suggest that it is likely some HPCs in networks exposed to high [K](o)continue to burst such that a stable, quiescent network state does not exist. In [K](o) ranges where HPCs are not bistable, the population may still exhibit bistable behaviors where synchronous population events are reversibly annihilated by phase resetting pulses, suggesting the existence of a nonsynchronous network attractor.

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Documento generato il 23/01/20 alle ore 03:26:26