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Ionic mechanisms in the generation of subthreshold oscillations and action potential clustering in entorhinal layer II stellate neurons
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0003-0281-9450
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2004 (English)In: Hippocampus, ISSN 1050-9631, E-ISSN 1098-1063, Vol. 14, no 3, 368-384 p.Article in journal (Refereed) Published
Abstract [en]

A multi compartmental biophysical model of entorhinal cortex layer II stellate cells was developed to analyze the ionic basis of physiological properties, such as subthreshold membrane potential oscillations, action potential clustering, and the medium afterhyperpolarization. In particular, the simulation illustrates the interaction of the persistent sodium current (I-NaP) and the hyperpolarization activated inward current (I-h) in the generation of subthreshold membrane potential oscillations. The potential role of I-h in contributing to the medium hyperpolarization (mAHP) and rebound spiking was studied. The role of I-h and the slow calcium-activated potassium current I-K(AHP) in action potential clustering was also studied. Representations of I-h and I-NaP were developed with parameters based on voltage-clamp data from whole-cell patch and single channel recordings of stellate cells (Dickson et A, J Neurophysiol 83:2562-2579, 2000; Magistretti and Alonso, J Gen Physiol 114:491-509, 1999; Magistretti et al., J Physiol 521:629-636, 1999a; J Neurosci 19:7334-7341, 1999b). These currents interacted to generate robust subthreshold membrane potentials with amplitude and frequency corresponding to data observed in the whole cell patch recordings. The model was also able to account for effects of pharmacological manipulations, including blockade of I-h with ZD7288, partial blockade with cesium, and the influence of barium on oscillations. In a model with a wider range of currents, the transition from oscillations to single spiking, to spike clustering, and finally tonic firing could be replicated. In agreement with experiment, blockade of calcium channels in the model strongly reduced clustering. In the voltage interval during which no data are available, the model predicts that the slow component of I-h does not follow the fast component down to very short time constants. The model also predicts that the fast component of I-h is responsible for the involvement in the generation of subthreshold oscillations, and the slow component dominates in the generation of spike clusters.

Place, publisher, year, edition, pages
2004. Vol. 14, no 3, 368-384 p.
Keyword [en]
biophysical modeling, subthreshold oscillation, spike clustering, medium afterhyperpolarization, entorhinal cortex, hippocampal theta-rhythm, activated cation current, thalamic relay neurons, differential electroresponsiveness, anomalous rectification, neocortical neurons, population activity, membrane resonance, pyramidal neurons, cortical-neurons
National Category
Neurosciences Bioinformatics (Computational Biology)
URN: urn:nbn:se:kth:diva-23343DOI: 10.1002/hipo.10198ISI: 000220889600011ScopusID: 2-s2.0-2342450521OAI: diva2:342041
QC 20100525 QC 20111101 QC 20111214Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2011-12-14Bibliographically approved

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Fransén, Erik
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