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  Home > M.R. Bauer Foundation > Reports from Previous Years > 2003-2004 > Dennis Pare, Ph.D.
Dennis Pare, Ph.D.
Department of Neuroscience
Rutgers University
Newark, New Jersey
September 15, 2003

Physiological Properties of Intercalated Amygdala Neurons

This talk focuses on the amygdaloid complex, a nucleated structure of the temporal lobe. Much data suggests that the amygdala plays a critical role in the expression and learning of fear responses. Moreover, it is believed that disturbances in amygdala excitability are responsible for some human anxiety disorders, such as post-traumatic stress disorder. The amygdale is comprised of many nuclei. I will focus on two of them: the basolateral and central nuclei. The basolateral group receives sensory afferents and projects to the central nucleus, the main source of amygdale projections to brainstem nuclei mediating fear responses. Thus, the basolateral and central nuclei are seen as the input and output stations of the amygdale, respectively.

The work I present examines how transmission of sensory inputs from the basolateral group to the central nucleus is regulated by a group of inhibitory neurons, known as the intercalated cell masses. Intercalated neurons receive excitatory inputs from the basolateral group and in turn inhibit neurons of the central nucleus. However, because intercalated neurons are interconnected, the amount of inhibition they generate in the central nucleus depends on the timing and nature of sensory inputs. As a result, the behavioral consequence of sensory events will vary. I also describe experiments indicating that intercalated neurons express a form of short-term memory inscribed in their intrinsic membrane properties. I show that intercalated neurons express an unusual potassium current that causes them to modify their excitability as a function of their recent activity.

The final section of my talk focuses on mechanisms of synaptic plasticity that is how the brain stores information. Memory is believed to depend on activity-dependent changes in the strength of synapses. In part, this view is based on evidence that the efficacy of synapses can be enhanced or depressed depending on the timing of pre- and postsynaptic activity. However, when such plastic synapses are incorporated in neural network models, stability problems develop because the potentiation or depression of synapses increases the likelihood that they will be further strengthened or weakened. I describe biological evidence for a homeostatic mechanism that reconciles the apparently opposite requirements of plasticity and stability. I show that in intercalated neurons, activity-dependent potentiation or depression of particular inputs leads to opposite changes in the strength of inputs ending at other dendritic sites. As a result, no net change in total synaptic weight occurs even though the relative strength of inputs is modified. Thus, in intercalated neurons at least, the total weight of plastic synapses is conserved by inverse homo vs. heterosynaptic modifications.

 

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