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PROTOCOL
NATURE PROTOCOLS | VOL.5 NO.5 | 2010 | 849
INTRODUCTION
During early development, brain neurons undergo extensive
activity-dependent morphological
1–5
and synaptic
6–9
refinement.
Experience-driven refinement results in progressive and persist-
ent changes in the functional output of both single neurons and
ensemble populations to influence normal or abnormal brain
function later in life. Examples of such refinement in higher verte-
brates include the activity-dependent structural growth of cortical
neurons and the formation and maintenance of ocular dominance
columns
10–12
. In the developing embryonic retinotectal system of
Xenopus tadpoles, tectal neurons receiving direct innervation from
the optic nerve show functional changes reflected by both an age-
dependent reduction in receptive field (RF) size
13–15
and rapid
potentiation or depression of firing rates induced by brief, RF-
specific, visual experience
9,16,17
. A fundamental question of develop-
mental neuroscience is how sensory experience modifies long-term
firing behavior and RF response properties of both individual cells
and ensemble neuronal populations in vivo.
Neural network plasticity
Historically, research into neuronal function and plasticity has been
limited to the study of either individual neurons or bulk popu-
lation responses. As such, our present understanding of neural
network plasticity induced by sensory stimuli has relied on com-
piling statistics of single-neuron recordings across many animals
or investigating averaged neuronal responses through bulk record-
ings. Both of these approaches, however, have significant limitations
when investigating ensemble plasticity. Single-neuron recordings do
not allow investigation of variable plasticity effects within a single
animal. They are also technically arduous, making it difficult to
compile large statistics. Bulk recordings, in contrast, can record the
average responses of many neurons simultaneously within a single
animal. However, the collective function of individual neuronal out-
put is not linear—simply averaging response properties overlooks
the complex computational relationships of neural population cod-
ing, where firing rates of individual neurons in context with the full
neuronal ensemble convey information about the input stimulus.
For example, a neuronal population may potentiate on average, but
a subpopulation of neurons may depress at the same time
17,18
. Bulk
recordings would miss this depressing subpopulation, which may
be extremely significant for coding information about the training
effects. To accurately decode neural network function and to under-
stand how neural circuits dynamically change to mediate plasticity
requires simultaneous recording of large populations of neurons,
with single-neuron resolution.
Currently, few techniques allow researchers to capture network
dynamics at the single-cell level within intact neural systems. Single-
unit electrophysiological recording using single or multielectrodes
provides simultaneous recording from up to dozens of neurons
19
.
Spike-sorting algorithms are then used to classify action potentials
(APs) from individual neurons. Although single-unit recordings
provide high temporal resolution of neuronal firing, they require
invasive insertion of electrodes, each of which can only sample activ-
ity from a small group of neurons. Moreover, electrode data do not
provide information on anatomical localization of recorded neurons.
Functional multineuron calcium imaging
Functional multineuron calcium imaging allows us to bridge the
gap between systems and cells
20
. This technique provides simulta-
neous imaging of large populations of neurons (~200 neurons)
within intact tissues with accurate identification of anatomical
relationships between all cells. Importantly, after minimally inva-
sive infusion with calcium-sensitive dyes, imaging can be carried
out noninvasively within the intact and awake organism, providing
the most powerful means to record native activity of large popula-
tions of brain circuit neurons for the study of neural encoding and
plasticity. In this protocol we describe application of functional
multineuron calcium imaging for the study of network ensemble
functional activity and plasticity within the optic tectum of the
intact and awake developing brain of the transparent Xenopus laevis
tadpole. We used a specialized technique called single-cell excitability
In vivo single-cell excitability probing of neuronal
ensembles in the intact and awake developing
Xenopus brain
Derek Dunfield & Kurt Haas
Department of Cellular and Physiological Sciences and the Brain Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.
Correspondence should be addressed to K.H. (kurt.haas@ubc.ca).
Published online 8 April 2010; doi:10.1038/nprot.2010.10
Sensory experience can elicit long-lasting plasticity of both single neurons and ensemble neural circuit response properties during
embryonic development. To investigate their relationship, one must image functional responses of large neuronal populations
simultaneously with single-cell resolution. In this protocol, we describe a noninvasive approach to assay functional plasticity of
individual neurons and neuronal populations in vivo using targeted infusion of calcium-sensitive dyes, two-photon microscopy and
synchronized visual stimuli presentations. This technique allows visualization of ~200 neurons while probing visual responses in
the optic tectum of awake, immobilized Xenopus laevis tadpoles. The protocol includes visual training paradigms that elicit
long-lasting potentiation or depression of functional responses, allowing investigations of population and single-neuron plasticity
induced by natural sensory stimuli in the awake, intact, developing brain. Setup time for this protocol, including dye injection and
chamber preparation, is ~2 h. Excitability probing experiments can then be performed for at least 3 h.