title: Effects of uniform and non-uniform synaptic 'activation-distributions' on the cable properties of modeled cortical pyramidal neurons.
abstract: Knowledge of the resting potential and input resistance reveal little about the electrotonic structure of nerve cells since that structure is governed by the background distribution of activated conductances. The background distribution of activated conductances (or 'activation-distribution') is commonly assumed to be uniform, but there is much evidence to suggest that the 'activation-distribution' of cortical pyramidal cells in non-uniform. We investigated effects of uniform and non-uniform activation-distributions with simulations employing passive cable models of an HRP-injected cortical pyramidal neuron. The consequences of 5 different activation-distributions on the effectiveness of synaptic inputs and the electrophysiological properties of the neuron were compared. With non-uniform activation-distributions, (i) the resting membrane potential was non-uniform (with difference of 10-15 mV or more found between soma and distal dendrites), (ii) the electrotonic distances to distal synapses were smaller than with a uniform distribution, and (iii) a two-fold range of variation was seen in the effectiveness of distal synaptic inputs. Differences in time constants, tau 0 and tau 1, obtained from an analysis of transients and in electrotonic length, L, were also found with different activation-distributions. These differences were difficult to assess due to the inherent difficulty in estimating tau 1 (as demonstrated here) and the inappropriateness of the usual formula for L for these cells. Reducing afferent activity (as might happen in tissue slice) increased the effectiveness of distal inputs and reduced the differences in resting potential seen in the neuron. It is concluded that the effectiveness of synaptic inputs and the electrophysiological properties of a neuron can be quite different when the activation-distribution is non-uniform rather than uniform.
authors.affiliation: Mathematical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892.
authors.forename: W R
authors.initials: WR
authors.lastname: Holmes
authors.forename: C D
authors.initials: CD
authors.lastname: Woody
mesh_terms: D000818:Animals; D002415:Cats; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D008564:Membrane Potentials; D008959:Models, Neurological; D009431:Neural Conduction