Credit: Courtesy of D. Johnston, Baylor College of Medicine, USA.

Since the pioneering work of Hebb, models to explain how memory traces are established have focused predominantly on plasticity at the synapse. However, it is becoming clear that changes in conductivity within the neuron are also important features of memory storage. It has already been shown that the induction of long-term potentiation (LTP) at a synapse can increase the intrinsic excitability of the postsynaptic neuron. Now, in Nature Neuroscience, Frick and colleagues propose a molecular mechanism to explain a link between LTP and dendritic excitability.

Frick et al. used a combination of calcium imaging and dendritic patch–clamp recording to measure the activity of CA1 pyramidal neurons in slices of rat hippocampus. To gauge the excitability of individual dendrites, they measured the amplitude of action potentials that backpropagated from the soma into the dendritic tree. Before LTP was induced, the amplitude of the backpropagating action potential declined rapidly as it travelled towards the distal end of the dendrite. However, if LTP was induced at synapses within a dendrite, the propagation of the backpropagating action potential in that dendrite was enhanced.

The attenuation of the backpropagating action potential that normally occurs along the dendrite has been attributed to a transient outward K+ current known as IA, which is mediated by A-type K+ channels. The authors asked whether the effect of LTP induction on backpropagating action potential amplitude was related to a change in IA, and they found that this current was indeed reduced around the potentiated synapses. The number of A-type K+ channels was unchanged, so Frick et al. concluded that LTP somehow brings about a change in the channel properties.

What is the functional significance of this increase in dendritic excitability? Apart from the obvious effect of facilitating the transmission of information, it has been suggested that it might also prime the postsynaptic neuron to undergo subsequent plasticity — a phenomenon that is often referred to as metaplasticity. These findings illustrate that neuronal plasticity is a highly complex process that affects numerous aspects of neuronal activity, and the task of unravelling these complexities is set to keep researchers occupied for years to come.