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Computational model of nucleus tractus solitarii (NTS) sensory circuits transmitting arterial baroreceptor signals
Author(s) -
Gummadavalli Pavan,
Kline David D,
Nair Satish,
Potts Jeff T
Publication year - 2007
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.21.5.a465
Subject(s) - baroreceptor , neuroscience , baroreflex , electrophysiology , sensory system , stimulus (psychology) , neuron , chemistry , physics , medicine , heart rate , blood pressure , biology , psychology , psychotherapist
Arterial baroreceptors (ABR) project to the NTS and provide sensory input regarding blood pressure status. However, details regarding the nature of NTS circuitry are limited. Here, we have developed a computational model to simulate NTS neuronal and network properties for the arterial baroreflex. Initial models were based on findings reported by Schilds (1993, 1995) and Rogers (2000). Single compartment neuron models were constructed for Aδ and C‐fiber type ABR and NTS circuit neurons. Neurons contained Hodgkin‐Huxley type conductances including fast sodium, delayed rectifier potassium (K+), transient K+, calcium‐dependent K+ (KCa+2), high‐threshold Ca+2 and a leak conductance. Model simulations were performed using NEURON (V5.9). The model predicted differences in action potential (AP) threshold, discharge and stimulus‐response properties for Aδ and C‐fiber afferents. For simulation of NTS neurons, current pulses (−50 to +200pA, 1000ms) were used to predict changes in membrane potential, AP generation, spike frequency adaptation (SFA) and delayed excitation (DE). Model simulations accurately reproduced experimental recordings and predicted that SFA and DE responses were dependent on KCa+2 expression levels. Results provide the basis to develop a network‐based model to simulate input‐output relationships for NTS barocircuits. Supported by NIH HL059167 (JTP).