RECOVERY OF CABLE PROPERTIES THROUGH ACTIVE AND PASSIVE MODELING OF SUBTHRESHOLD MEMBRANE RESPONSES FROM LATERODORSAL TEGMENTAL NEURONS

Citation
A. Surkis et al., RECOVERY OF CABLE PROPERTIES THROUGH ACTIVE AND PASSIVE MODELING OF SUBTHRESHOLD MEMBRANE RESPONSES FROM LATERODORSAL TEGMENTAL NEURONS, Journal of neurophysiology, 80(5), 1998, pp. 2593-2607
Citations number
59
Categorie Soggetti
Neurosciences,Physiology
Journal title
ISSN journal
00223077
Volume
80
Issue
5
Year of publication
1998
Pages
2593 - 2607
Database
ISI
SICI code
0022-3077(1998)80:5<2593:ROCPTA>2.0.ZU;2-1
Abstract
The laterodorsal tegmental nucleus (LDT) is located in the dorsolatera l pontine reticular formation. Cholinergic neurons in the LDT and the adjacent pedunculopontine tegmental nucleus (PPT) are hypothesized to play a critical role in the generation of the electroencephalographic- desynchronized states of wakefulness and rapid eye movement sleep. A q uantitative analysis of the cable properties of these cells was undert aken to provide a more detailed understanding of their integrative beh avior. The data used in this analysis were the morphologies of intrace llularly labeled guinea pig LDT neurons and the voltage responses of t hese cells to somatic current injection. Initial attempts to model the membrane behavior near resting potential and in the presence of tetro dotoxin (TTX, 1 mu M) as purely passive produced fits that did not cap ture many features of the experimental data. Moreover, the recovered v alues of membrane conductance or intracellular resistivity were often very far from those reported for other neurons, suggesting that a pass ive description of cell behavior near rest was not adequate. An active membrane model that included a subthreshold A-type K+ current and/or a hyperpolarization-activated cation current (H-current) then was used to model cell behavior. The voltage traces calculated using this mode l were better able to reproduce the experimental data, and the cable p arameters determined using this methodology were more consistent with those reported for other cells. Additionally, the use of the active mo del parameter extraction methodology eliminated a problem encountered with the passive model in which parameter sets with widely varying val ues, sometimes spanning an order of magnitude or more, would produce e ffectively indistinguishable fits to the data. The use of an active mo del to directly fit the experimentally measured voltage responses to b oth long and short current pulses is a novel approach that is of gener al utility.