Artificial
Intelligence in Medicine, 13(1-2):99-121, May 1998
Neuromodulatory control of hippocampal function: Towards a model of Alzheimer's
disease
Elliot D.
Menschik1,2 and Leif H. Finkel2,3
1Medical
Scientist Training Program
2Institute of Neurological Sciences
3Department of Bioengineering
3320 Smith Walk, 301 Hayden Hall
University of Pennsylvania
Philadelphia, PA 19104, U. S. A.
menschik@neuroengineering.upenn.edu
leif@neuroengineering.upenn.edu
Abstract
Alzheimer's
disease (AD) is a progressive neurodegenerative disorder of cognitive function
whose cellular pathology and molecular etiology have been increasingly and dramatically
unraveled over the last several years. Despite this substantial knowledge base,
the disease remains poorly understood due to a basic lack of understanding of
how memories are stored and recalled in the brain. We describe a preliminary
attempt at constructing a detailed model of these basic neural mechanisms; in
particular, the natural dynamics of neuronal activity in hippocampal region
CA3 and the modulation and control of these dynamics by subcortical cholinergic
and GABAergic input to the hippocampus. We view the construction of such a model,
with sufficient detail at the cellular and subcellular level, to be a necessary
first step in understanding the effect of AD pathology on the functional behavior
of the underlying neural circuitry.
The network is based on the 66-compartment hippocampal pyramidal cell model
of Traub and colleagues [70] and their 51-compartment interneuron [72] interconnected
with realistic AMPA-, NMDA-, and GABAA-mediated synapses. Traub and others [14,
74, 79] have shown that a network composed of these modeled cells is capable
of synchronization in the gamma frequency range. We demonstrate here that this
synchronization mechanism can implement an attractor-based autoassociative memory.
A new input pattern arrives at the beginning of each theta cycle (comprised
of 5-10 gamma cycles), and the pattern of activity across the network converges,
over several gamma cycles, to a stable attractor that represents the stored
memory.
In this model, cholinergic deprivation, one of the hallmarks of AD, leads to
a slowing of the gamma frequency which reduces the number of "cycles" available
to reach an attractor state. We suggest that this may be one mechanism underlying
the memory loss and cognitive slowing seen in AD. Our results also support the
idea that acetylcholine acts on individual neurons to induce and maintain a
transition from intrinsic bursting to spiking in pyramidal cells [54]. These
results are consistent with the hypothesis that spiking and bursting in CA3
pyramidal cells mediate separate behavioral functions [15], and that cholinergic
input is required for the transition to and support of behavioral states associated
with the online processing and recall of information.
Keywords: hippocampus; CA3; acetylcholine; interneurons; oscillations;
Alzheimer's disease