Rules of Engagement: Factors That Regulate
Activity-Dependent Synaptic Plasticity During
Neural Network Development
EMILY T. STONEHAM
1,2,
*, ERIN M. SANDERS
1,2,
*, MOHIMA SANYAL
2
, AND
THEODORE C. DUMAS
1,2,
†
1
Molecular Neuroscience Department,
2
Krasnow Institute for Advanced Study, George Mason
University, Fairfax, Virginia 22030
Abstract. Overproduction and pruning during develop-
ment is a phenomenon that can be observed in the number
of organisms in a population, the number of cells in many
tissue types, and even the number of synapses on individual
neurons. The sculpting of synaptic connections in the brain
of a developing organism is guided by its personal experi-
ence, which on a neural level translates to specific patterns
of activity. Activity-dependent plasticity at glutamatergic
synapses is an integral part of neuronal network formation
and maturation in developing vertebrate and invertebrate
brains. As development of the rodent forebrain transitions
away from an over-proliferative state, synaptic plasticity
undergoes modification. Late developmental changes in
synaptic plasticity signal the establishment of a more stable
network and relate to pronounced perceptual and cognitive
abilities. In large part, activation of glutamate-sensitive N-
methyl-D-aspartate (NMDA) receptors regulates synaptic
stabilization during development and is a necessary step in
memory formation processes that occur in the forebrain. A
developmental change in the subunits that compose NMDA
receptors coincides with developmental modifications in
synaptic plasticity and cognition, and thus much research in
this area focuses on NMDA receptor composition. We pro-
pose that there are additional, equally important develop-
mental processes that influence synaptic plasticity, includ-
ing mechanisms that are upstream (factors that influence
NMDA receptors) and downstream (intracellular processes
regulated by NMDA receptors) from NMDA receptor acti-
vation. The goal of this review is to summarize what is
known and what is not well understood about developmen-
tal changes in functional plasticity at glutamatergic syn-
apses, and in the end, attempt to relate these changes to
maturation of neural networks.
Introduction
The life cycle of vast numbers of plants and animals
involves an early period of massive cell proliferation fol-
lowed by a competition-based organism death, which max-
imizes health of that generation and results in a stable
population of organisms. Obvious examples include blooms
of phytoplankton and egg laying by sea turtles. This ubiq-
uitous process of overproduction and pruning can also be
observed in cell number during embryonic, fetal, and neo-
natal development of many tissue systems. Similar to or-
ganism development, tissue development usually involves a
competition between cells for space and resources. This idea
has been applied in interesting ways to nervous systems
(Turkewitz and Kenny, 1985; Edelman, 1993). Through
activity-based refinement processes that regulate pro-
grammed cell death, cell number is trimmed during the final
maturation phase (Hutchins and Barger, 1998). The influ-
ence of activity on cell survival or death during develop-
ment is mediated in large part through synaptic transmission
Received 16 November 2009; accepted 5 August 2010.
* These authors contributed equally to this project.
† To whom correspondence should be addressed, at Molecular Neuro-
science Department, 4400 University Drive, MS 2A1, Fairfax, VA 22030;
tdumas@gmu.edu
Abbreviations: AC, adenylate cyclase; AMPA, -amino-3-hydroxyl-5-
methyl-4-isoxazole-propionate; AP, action potential; CaM, calmodulin;
CaMKII, calmodulin-dependent kinase II; EPSP, excitatory postsynaptic
potential; HCN, hyperpolarization-activated cyclic nucleotide-gated cat-
ion; I-1, inhibitory protein 1; LTD, long-term depression; LTP, long-term
potentiation; NMDA, N-methyl-D-aspartate; P, postnatal day; PKC, protein
kinase C; PP1, protein phosphatase 1; PPF, paired-pulse facilitation; SC-
CA1, Schaffer collateral synapse.
Reference: Biol. Bull. 219: 81–99. (October 2010)
© 2010 Marine Biological Laboratory
81
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