Previous Article | Next Article 
The Journal of Neuroscience, April 1, 2000, 20(7):2480-2494
Release-Independent Short-Term Synaptic Depression in Cultured
Hippocampal Neurons
David L.
Brody and
David T.
Yue
The Johns Hopkins University School of Medicine, Departments of
Biomedical Engineering and Neuroscience, Program in Molecular and
Cellular Systems Physiology, Baltimore, Maryland 21205
 |
ABSTRACT |
Short-term synaptic plasticity may dramatically influence neuronal
information transfer, yet the underlying mechanisms remain incompletely
understood. In autapses (self-synapses) formed by cultured hippocampal
neurons, short-term synaptic depression (STD) had several unusual
features. (1) Reduction of neurotransmitter release probability with
Cd2+, a blocker of voltage-gated calcium channels,
did not change depression. (2) Lowering
[Ca2+]o and/or raising
[Mg2+]o had little effect on STD in
cells with strong baseline depression, but in cells with more modest
baseline depression, it reduced the depression. (3) Random variations
in the size of initial EPSCs did not influence successive EPSC
sizes. These findings were inconsistent with release-dependent
mechanisms, such as vesicle depletion, post-synaptic receptor
desensitization, and autoreceptor inhibition. Instead, other results
suggested that changes in action potentials (APs) contributed to
depression. The somatic APs declined in amplitude with repetitive
stimulation, and modest reduction of AP amplitudes with tetrodotoxin
inhibited EPSCs. Notably, tetrodotoxin also increased depression.
Similar changes in axonal APs could produce STD in at least two ways.
First, decreasing presynaptic spike amplitudes could reduce calcium
entry and release probability. Alternatively, APs could fail to
propagate through some axonal branches, reducing the number of active
synapses. To explore these possibilities, we derived the expected
variance of EPSCs for the two scenarios. Experimentally, the variance
increased and then decreased on average with successive responses
during trains of APs, confirming a unique prediction from the
conduction failure scenario. Thus, STD had surprising properties,
incompatible with commonly postulated mechanisms but consistent with AP
conduction failure at axonal branches.
Key words:
short-term synaptic plasticity; short-term synaptic
depression; autapse; microisland; cell culture; hippocampus; cadmium; calcium; magnesium; correlation analysis; miniature EPSC; action
potential; tetrodotoxin; variance analysis; simulation; branch-point
failure; conduction failure; propagation failure
 |
INTRODUCTION |
Short-term synaptic plasticity (STP)
refers to the changes in the efficacy of synaptic transmission that
occur from one action potential to the next, depending on the recent
history of presynaptic activity. Such plasticity, lasting from
milliseconds to seconds, is believed to figure importantly in neuronal
information transfer (Magleby, 1987
; Zucker, 1989
; Markram and Tsodyks,
1996
; Abbott et al., 1997
; Tsodyks and Markram, 1997
). The transient
alterations in synaptic efficacy can be richly diverse in
manifestation, taking the form of short-term facilitation and/or
depression (Zucker, 1989
), with more than one mechanism sometimes
present at an individual synapse (Thomson and West, 1993
; Thomson,
1997
; Varela et al., 1997
). Moreover, synapses from the same
presynaptic neuron onto different postsynaptic targets may have
different types of short-term plasticity (Thomson and Deuchars, 1994
;
Reyes et al., 1998
). Such plasticity is widespread, and there is
considerable interest in its causes, theoretical significance, and
physiological roles.
Much of what is known about short-term synaptic plasticity has come
from experiments in brain slice preparations, which have been essential
in defining its physiologically important features. But polysynaptic
circuits, incomplete solution exchange, and the small sizes of
individual synaptic responses in slices may complicate investigation of
the mechanisms underlying plasticity. Cultured neuronal preparations
may therefore be an important complement for in-depth investigations
into the sources of STP. Hippocampal neurons grown in culture on glial
microislands form synapses onto themselves (Furshpan et al., 1986
;
Bekkers and Stevens, 1991
), termed autapses (Van der Loos and Glaser,
1972
). These autaptic circuits are by definition monosynaptic, solution
exchanges can be fast and complete, and the synaptic responses are
large and robust. Previously, prominent short-term depression (STD) has been observed in such neurons under normal conditions (Mennerick and
Zorumski, 1995
), which seems to mimic the short-term plasticity between
pairs of CA1 pyramidal cells (Deuchars and Thomson, 1996
), but is
unlike the facilitation that occurs in other hippocampal synapses
(Lomo, 1971
; Alger and Teyler, 1976
).
We have recently used these microcultured hippocampal neurons to
provide evidence for a novel form of short-term synaptic facilitation
attributable to relief of G-protein inhibition of presynaptic calcium
channels (Brody and Yue, 2000
). In the course of these experiments, it
became clear that the short-term synaptic depression present at
baseline without G-protein inhibition had unusual features. In
particular, the depression seemed to be release-independent, meaning
that when we pharmacologically lowered presynaptic release probability,
the depression did not diminish proportionally. Instead, many
previously reported forms of short-term depression are
release-dependent, consistent with commonly proposed mechanisms in
which each release event depletes some limiting resource, such as
readily releasable synaptic vesicles (Zucker, 1989
; Stevens and
Tsujimoto, 1995
; Tsodyks and Markram, 1997
). Here, we investigated the
mechanism of the release-independent depression in single, cultured
hippocampal neurons, using a combination of pharmacological
manipulations, analysis of EPSC variances, and modeling. Our results
are most consistent with depression arising, at least in part, from
failures of the action potential to propagate along axonal branches.
 |
MATERIALS AND METHODS |
Cultured neurons. Hippocampal neurons were cultured
on glial microislands essentially as reported (Furshpan et al., 1986
; Bekkers and Stevens, 1991
). Briefly, 9 × 9 mm glass coverslips were acid-cleaned, ethanol-sterilized, and placed in six-well culture
dishes (Beckton Dickinson, Franklin Lakes, NJ). A 0.15% agarose
solution was spread uniformly on the slips to provide a hydrophobic,
nonadhesive background. Then a solution containing 2 mg/ml
poly-D-lysine, 3 mg/ml collagen (Cellprime, Collagen
Corporation, Palo Alto, CA) and 8.5 mM acetic acid was
sprayed onto the plates using an airbrush (Aztek, Rockford, IL) fitted
with a spatter nozzle to make 50- to 750-µm-diameter "islands" of
adhesive substrate. After drying and UV-sterilization, cultured
astrocytes left over from a previous preparation (see below) were
trypsinized and plated at a density of 6,000-24,000 cells per
milliliter in FCS media. FCS media was MEM with Earle's salts (Life
Technologies, Grand Island, NY) plus 10% fetal calf serum, 20 mM glucose, 0.5% N2 supplement (Life Technologies), 0.5%
penicillin/streptomycin stock, and phenol red. After 4-6 d at 37°C
in 5% CO2, the astrocytes spread out over the
microislands but did not grow on the agarose. FCS media was replaced
with NEU media to allow the astrocytes to condition the media before
the arrival of the neurons. NEU media contained MEM with Earle's salts
and 25 mM HEPES (Life Technologies), 10% horse serum (Life
Technologies), 20 mM glucose, 1% N2 supplement, 1 mM sodium pyruvate, 0.5% penicillin/streptomycin stock,
and 0.875 µg/ml biotin. All media was equilibrated at 37°C in 5%
CO2 before use.
The next day, neonatal (1-2 d old) Sprague Dawley rats were
decapitated, and their brains were placed in ice-cold Earle's Balanced
Salt Solution (EBSS, Life Technologies) with 10 mM HEPES. Oblique razor cuts were made from the anterior midline to the posterior
temporal lobe, exposing portions of the hippocampi enriched in CA1 and
CA3 neurons. The meninges were gently removed starting from the rostral
end, and in the process, the exposed wedge of hippocampus flipped out
of the bowl formed by the lateral ventricle. The tissue was further
enriched in CA1 and CA3 pyramidal cells by clipping away a central
portion of dentate gyrus that sometimes remained with the hippocampal
wedge. Selective dissection of CA1 and CA3 increased the number of
glutamate-releasing pyramidal cells relative to inhibitory
interneurons. The tissue was minced into 1 mm3
pieces and digested in papain solution at 37°C for 50 min. Papain solution contained 20-25 U/ml papain (Worthington, Lakewood, NJ), 1 mM CaCl2, 0.5 mM EDTA, and
10 mM HEPES in EBSS, and was prewarmed to 37°C. DNAase
(Calbiochem, San Diego, CA) was added to 0.1 µg/ml for 5 min further
incubation. Then the tissue was washed twice with FCS media, triturated
in NEU media, and passed through a 70 µm cell strainer (Beckton
Dickinson) to isolate single cells. The cells were plated onto the
astrocyte-containing microislands at a range of densities between 2,000 and 28,000 per milliliter. Usually one of these densities yielded a
significant number of islands containing a single neuron. Plating onto
astrocytes improved the health and longevity of the neurons and
dramatically enhanced the number and strength of synapses that they
formed. The day after plating, the proliferation of astrocytes was
halted by adding 35 µM 5-fluoro-2-deoxyuridine (Sigma,
St. Louis, MO) with 75 µM uridine. Patch-clamp recordings
were made between 7 and 21 d in vitro. Media did not
need to be exchanged for up to 21 d.
Leftover cells were placed in FCS media in an uncoated tissue culture
flask. After 7 d, the flask was shaken on a laboratory shaker
overnight at room temperature, and then the media was replaced. This
rough treatment killed process-bearing and sensitive cells such as
neurons and created a purified astrocyte culture. If fibroblasts were
present, the culture was discarded.
Electrophysiology. Microislands containing one or more glia
and a single neuron with extensive processes were selected for whole-cell patch-clamp recording. Pipets with resistance of 3-4 M
were pulled from borosilicate glass (TW150F-4, WPI, Sarasota, FL) and
lightly fire-polished. Standard pipette solution contained (in
mM): 137 K-gluconate, 12 NaCl, 10 HEPES, 4 EGTA, 0.5 CaCl2, 4 MgATP, and 0.3 LiGTP, pH 7.2 with KOH.
Standard extracellular solution contained (in mM): 145 NaCl, 5.4 KCl, 2 CaCl2, 1 MgCl2, 10 HEPES, pH 7.4 with NaOH, adjusted to 310 mOsm with 15-25
mM glucose. All chemicals were from Sigma except NBQX from
RBI (Natick, MA). Solutions were exchanged via gravity-fed lines
connecting to a 1-mm-diameter glass tube placed 0.5 mm from the cell
under study. Solutions flowed continuously at a rate of ~1 ml/min. A junction potential of
14 mV was corrected before sealing. All recordings were made at room temperature (23-25°C).
Data were acquired using an Axopatch 200B (Axon Instruments, Foster
City, CA) patch-clamp amplifier and a DEC PDP-11 computer running
custom software written in Basic 23. In voltage-clamp mode, the holding
potential was
80 mV, and propagating action potentials were
stimulated with either 2 msec voltage steps to +20 mV or 1.5 msec wide
action potential waveforms reaching +30 mV from a baseline of
80 mV.
Sampling intervals were 40-50 µsec, and filtering was at 5 kHz.
Series resistance was typically 6-10 M
and was compensated 50-85%
when possible. In some cells, series resistance compensation caused
electrical ringing and was not used. After initial breakthrough into
whole-cell mode, EPSCs stabilized in 3-5 min. Thereafter, data traces
were acquired every 15-30 sec. Rundown, or decreases in EPSC amplitude
over tens of minutes, occurred in some cells, even with data traces
acquired every 30 sec. Rundown, however, did not affect any aspect of
short-term synaptic plasticity in any significant way (data not shown).
Whenever EPSC amplitudes in two conditions were compared, measurements were made in both conditions within 5-10 min of each other to minimize
the effects of rundown.
For current-clamp recordings, the fast mode of the Axopatch 200B was
used. Baseline current injection was typically <100 pA, and adjusted
to maintain a resting potential near
80 mV. Action potentials were
stimulated by injection of 0.3 to 0.8 nA current pulses lasting 2 msec.
NBQX (2 µM) was included during all such experiments to
eliminate EPSPs.
Analysis. In each cell with excitatory synaptic
transmission, the EPSCs mediated by AMPA-type glutamate receptors were
defined as the current sensitive to 2-5 µM of the AMPA
receptor antagonist NBQX. Total EPSC charge transfer in windows
extending 2-3 to 20 msec after each stimulus was calculated by
integrating currents in this window and subtracting integrals of
NBQX-resistant currents from the same cell in the same time window.
NBQX-resistant currents were generally smaller than 10% of basal EPSC
size and stable over time. In displayed traces, NBQX-insensitive
currents have been subtracted from total currents, and 2-3 msec
stimulus transients have been blanked for clarity except in Figure
1.
For very short interstimulus intervals, the first EPSC was still
decaying during the second EPSC. To calculate the true amplitude of the
second EPSC, we subtracted the expected contribution of the first EPSC
to the total current in the second EPSC's integration window.
Measurements of short-term synaptic plasticity were obtained by
averaging 5-20 sweeps and normalizing by the amplitude of the first
EPSC. This analysis was performed using custom software written in
Matlab (The MathWorks, Natick, MA). Somatic action potential amplitudes
and widths were measured automatically also using custom software
written in Matlab.
All averages, variances, and statistical comparisons were calculated
with Microsoft Excel. The p values given in the text were
obtained from two-tailed, paired t tests or from two-tailed, unequal variance t tests as appropriate. Error values (±)
cited in the text are standard errors. To check the stability of EPSCs over time (see Figs. 5, 9), we used the regression macro from the
Microsoft Excel 7.0 Data Analysis tools. Data were accepted as
sufficiently stable if the regression slope 95% confidence interval
included zero. To look for inverse correlations between the first and
second EPSCs for both simulated and experimental data (see Fig. 5), the
same correlation tool was used. Final correlation coefficients were
calculated after excluding rare outlying sweeps (16/431) with first
EPSCs more than 3 SDs away from the means for their respective cells.
Similar conclusions were reached before these exclusions.
The fits of mean versus variance data were performed using the
Microsoft Excel 7.0 Solver tool, with the constraint that the fit had
to include the data point corresponding to the initial mean and
variance. In fitting the average normalized data to Equation 2 (see
Fig. 9C), the parameters N and q were
dropped, because they cannot be constrained by normalized data. The
variance contributed by NBQX-insensitive currents was not subtracted
from the total variance, because it was always <5% of the total
variance and did not change with repetitive stimulation.
Simulations of correlations between pairs of EPSCs (see Fig.
5). Simulations were performed to assess our ability to
experimentally resolve correlations that would result if
release-dependent paired-pulse depression (PPD) were present (see Fig.
5). In principle, release-dependent depression should produce inverse
correlations between the sizes of successive EPSCs, whereas
release-independent depression should not produce any such correlations
(Thomson et al., 1993
; Debanne et al., 1996
). For example, an inverse
correlation means that a relatively large first EPSC would be followed
more often than not by a relatively small second EPSC, and vice versa.
For each simulated EPSC the contributions from 500 model release sites
were summed. We estimated that cultured autapses contained at least 500 sites from measurements of average EPSC amplitude (2000 pA), average
quantal amplitude (15 pA), and upper-limit estimate of release
probability [0.29, see Fig. 9A: 2000 pA/(15 pA × 0.29)
500]. Each release site was assumed to release either no vesicle or one vesicle with each stimulus, and quantal amplitudes were considered to be uniform. Because the results of interest were
always relative EPSC sizes, quantal amplitudes were arbitrarily set to
1. For each simulation, we generated a new group of 500 heterogeneous
initial release probabilities, which were drawn from a
distribution
with parameters similar to those found experimentally in slices and
cultured neurons (Dobrunz and Stevens, 1997
; Murthy et al., 1997
). To
calculate the size of a simulated EPSC, a uniform random number between
0 and 1 was generated for each of the 500 model release sites. A site
released successfully if the random number was less than its release
probability and the simulated EPSC amplitude was equal to the number of
successful releases. Other distribution parameters were also explored
with the constraint that the mean initial release probability was
always <0.5, to accord with experimental results (see Fig.
9A). These simulations yielded results similar to those
displayed in Figure 5 (data not shown).
In simulations of PPD attributable to a release-dependent mechanism, if
a given individual site successfully released on the first stimulus,
its probability of releasing on the second stimulus was set to be a
small, constant fraction (f) of its
original release probability. If it did not release, its release
probability was unchanged on the second trial. In release-independent
depression, the release probability was decreased uniformly at all
sites before the second stimulus. For each correlation trial, we
generated 400 pairs of EPSCs, one with the initial set of release
probabilities and the second using the modified release probabilities
after depression. In the release-dependent depression simulations shown in Figure 5A, we used an f value of 0.02. Initial
release probabilities were drawn from a
distribution that peaked at
a release probability of 0.1, with an exponent of 2. These parameters
yielded an initial mean release probability of 0.2 and paired-pulse
depression of 30.4% (paired-pulse modulation 0.696), similar to
experimental data (see Fig. 3).
To address the question of how sensitive the correlation method used in
Figure 5 was in detecting release-dependent depression, we performed a
series of simulations with varying values of f. We increased
f, decreasing the overall amount of release-dependent depression, until the statistical significance of the negative correlations approached our cutoff of p = 0.05. This
cutoff was approached at f = 0.5, where the overall
paired-pulse depression was 14.4 ± 0.17% (n = 11 simulations), and the p values for the slopes of the
regression lines were between 0.00053 and 0.067 (mean 0.017). Thus, the
correlation method was sensitive enough to detect much smaller amounts
of release-dependent depression than were shown in Figure
5A, or in the electrophysiological data (32%).
Variance calculations for action potential conduction failure
(see Figs. 8, 9). For derivations of analytical relations for homogeneous values of parameters used in Figures 8, A and
B, and 9, see Appendix.
To explore the effects of relaxing some of the simplifying assumptions
used in the Appendix, we numerically calculated the means and variances
for populations of heterogeneous axonal branches (i.e., see results in
Fig. 8C). For each simulation, we considered a population of
50-500 independent axonal branches and picked a random value for the
number of sites per branch (SB) from a distribution of values. The distribution used was a clipped normal distribution, with SDs less than or equal to the value of the mean.
Distributions were clipped in that values below 0 were taken to be
equal to 0, and values above two times the mean were taken to be equal
to two times the mean. To simulate depression attributable to
conduction failures, conduction probabilities at each branch were
decreased in discrete time steps. The rates of decrease were also
heterogeneous and drawn from clipped normal distributions. These rates
were held constant for each time step and were not correlated with the
values of SB. The total mean and variance were
calculated at each time step by calculating the mean and variance for
each branch, according to Equation A6 in the Appendix, and summing
across branches. Smooth curves displayed in Figure 8C were
generated by interpolating between time steps. Release probabilities
and quantal sizes were uniform across release sites, initial conduction
probability (PC1) was set at 1, and all results were normalized by the initial values of mean and variance.
The heterogeneous rates of decrease in PC were
used as a general representation for several possible scenarios.
Differences between branches could arise from the variability in axonal
dimensions or in the electrical excitability of the branch points.
Similarly, variability in the axonal branching complexity could
contribute to nonuniform depression of conduction probability. For
example, even if all individual axonal branch points were equivalent,
groups of release sites located distal to several sequential branch
points would have lower total conduction probability than those found more proximally (see Fig. 8F).
 |
RESULTS |
Characteristics of short-term depression
Single, glutamatergic hippocampal neurons grown in culture on
glial microislands were chosen for analysis of short-term depression. To record postsynaptic currents, we delivered brief voltage-clamp stimuli via a somatic, whole-cell patch pipette (Fig.
1A, top). Propagating action potentials were generated, with momentary loss of
voltage-clamp control caused by large sodium and potassium currents
corresponding to initial inward and outward currents. Slower inward
currents followed, which flowed through AMPA-type glutamate receptors
(Fig. 1A, total current). Subtraction of
responses obtained with the AMPA antagonist NBQX (Fig.
1A, NBQX) isolated synaptic
currents (Fig. 1A, total
NBQX). These EPSCs were quantitated by integrating over a
3-20 msec window after each stimulus (Fig. 1A,
QEPSC). Isolated synaptic currents were recorded
with good voltage-clamp control, as they had an extrapolated reversal
potential near 0 mV and their kinetics were unchanged in subsaturating
concentrations of NBQX that reduced the sizes of the synaptic currents
(data not shown) (Bekkers and Stevens, 1991
).

View larger version (22K):
[in this window]
[in a new window]
|
Figure 1.
Short-term depression (STD) in microcultured
hippocampal neurons. A, Voltage-clamp stimuli
(stim.) were applied via a somatic patch pipette to single
self-synaptic (autaptic) neurons in culture, and the resulting currents
were recorded (total current). Synaptic currents were
isolated by subtracting the current remaining in 2 µM
NBQX (NBQX), from the total current (total NBQX), and integrated over a 3-20 msec window after
each stimulus (QEPSC). B, Isolated
synaptic currents during a 50 Hz train of voltage-clamp stimuli.
C, Both peak current (left) and
QEPSC (right) equivalently
represented the short-term depression. After scaling, the smooth
monoexponential curve (time constant 22.5 msec) fit to peak currents
(left) exactly described depression of
QEPSC (right, scaling by ~5 pC/nA
for this cell). Averages of 14 sweeps from the same cell as in
A and B; error bars are smaller than
symbols.
|
|
During 50 Hz trains of stimuli, short-term synaptic plasticity under
control conditions was dominated by depression (Fig. 1B), similar to previous findings (Mennerick and
Zorumski, 1995
). Short-term synaptic facilitation was rarely apparent,
likely because of the high intracellular EGTA that we used to chelate
residual calcium (see Materials and Methods; our unpublished
observations). The EPSCs declined to ~60% of their original size on
the second stimulus of the trains and to ~30% by the 10th stimulus.
Measurements of either the EPSC peaks or integrals
(QEPSC) yielded quantitatively indistinguishable results for the extent of depression (Fig.
1C). For the remainder of the analyses, EPSC integrals were
preferred because they more reliably included the contributions of
slightly asynchronous release events.
The recovery from synaptic depression followed an apparently
biexponential time course (Fig. 2), also
consistent with a previous report (Mennerick and Zorumski, 1995
). The
time constants of recovery were 8.9 ± 2.3 msec (n = 9) and 4.3 ± 0.42 sec (n = 6). During the 20 msec intervals between stimuli at 50 Hz, the fast component of recovery
was not complete, and therefore the extent of spike-to-spike depression
reflected contributions from both of the resolvable kinetic
components.

View larger version (17K):
[in this window]
[in a new window]
|
Figure 2.
Recovery from depression occurred in two
phases. Interstimulus interval (d) between pairs of stimuli
(S1, S2) was varied between 5 msec and 15 sec.
Shown are single sweeps for intervals of 15 msec, 200 msec, and 15 sec
(top). QEPSC averages after second
stimuli (avg. S2) were normalized by
QEPSC averages after first stimuli (avg.
S1). Five to ten sweeps were averaged for each interstimulus
interval. Error bars not shown when smaller than symbols. The sum of
two exponentials (smooth curve) was fit to the recovery of the EPSCs
(avg. S2/avg. S1); for this cell, time constants were 5.8 msec and 4.8 sec, with relative amplitudes 0.74 and 0.26.
|
|
To determine whether a release-dependent mechanism underlies the
observed STD, we investigated the effects of reducing presynaptic calcium entry with Cd2+, a blocker of voltage-gated
calcium channels. Cd2+ blocks at micromolar
concentrations, so surface charge effects are minimal, and there is no
significant change in the relative current-voltage relations of the
channels (Leonard et al., 1987
; Hanck and Sheets, 1992
).
Cd2+ (2 µM) had no resolvable effect
on the size of miniature EPSCs (n = 4 cells; data not
shown) or on somatic action potentials (n = 5 cells)
(Brody and Yue, 2000
), confirming that Cd2+ effects
were entirely presynaptic. Hence, Cd2+ blockade may
be a particularly clean method of reducing presynaptic calcium entry.
Addition of 2-4 µM Cd2+ to the
external solution reduced QEPSC to ~40% of
its size in control (Fig. 3). The
depression during trains, however, was unchanged in most individual
cells (Fig. 3B) and on average across cells (Fig.
3C), although in rare recordings (3 of 29) there was
somewhat less depression in Cd2+. Thus the extent of
synaptic depression did not typically appear to be related to initial
release probability, making release-dependent mechanisms such as
vesicle depletion unlikely.

View larger version (28K):
[in this window]
[in a new window]
|
Figure 3.
STD was not affected by reduction in release
probability by Cd2+. A, Diary plot of
QEPSC for first stimuli (solid
diamonds, S1) and second stimuli (open
squares, S2) of 50 Hz stimulus trains. Both NBQX and
Cd2+ were readily reversible. B, Sample
records after NBQX subtraction, acquired at the times indicated by
ii and iii in the diary plot above. C,
QEPSC averages across 29 cells. Left,
Responses normalized by the first QEPSC in
control (solid squares) for each cell, then averaged across
cells, showing extent of inhibition by Cd2+
(open triangles). Right, Responses normalized by
first QEPSC in each condition, to facilitate
comparison of STD. There were no statistically significant differences
between control and Cd2+. Error bars not shown when
smaller than symbols. Time constant of smooth curve was 23.8 msec.
|
|
In a previous report, depression in a very similar preparation was
altered by changing extracellular calcium and magnesium concentrations
(Mennerick and Zorumski, 1995
), which did seem consistent with a
release-dependent mechanism. This apparent contradiction could arise
because the effects of Cd2+ may differ from those of
changing [Ca2+]o and
[Mg2+]o. Millimolar alterations in
Ca2+ and/or Mg2+ concentrations
may alter surface charge screening, which would change the voltage
sensitivity of voltage-gated channels, and thereby affect overall
membrane excitability (Frankenhaeuser and Hodgkin, 1957
; Green and
Andersen, 1991
). Alternatively, other aspects of the techniques and
preparations may differ.
To examine the basis of this apparent discrepancy, we also lowered
release probability using a variety of different
[Ca2+]o and
[Mg2+]o solutions (
Ca/Mg). All
solutions reduced initial EPSC amplitudes, as expected, but detailed
consideration of the effects of these manipulations on STD proved
complex. In some cells,
Ca/Mg did not affect depression (e.g., Fig.
4A, cell 1).
In other cells, the same solutions similarly inhibited the first EPSCs,
yet depression was reduced (e.g., Fig. 4A, cell
2). Similar variable effects were found for a variety of different
solutions, including (in mM): 0.5 Ca/1 Mg, 1 Ca/2 Mg, 1 Ca/4 Mg, 1.25 Ca/1 Mg, and 2 Ca/10 Mg. However, on average, differences
became apparent for the effects of the various solutions on depression
(Fig. 4B). STD was unchanged on average in 1.25 Ca/1
Mg, mildly affected in 1 Ca/2 Mg, and almost eliminated in 1 Ca/4 Mg
(Fig. 4B). The 1.25 Ca/1 Mg and 1 Ca/2 Mg solutions
both inhibited initial EPSCs ~60%, whereas 1 Ca/4 Mg inhibited
~85%. The lack of change in STD with 1.25 Ca/1 Mg further supported
our hypothesis that depression was release independent. Attenuation of
STD with elevations in [Mg2+]o in
general could be consistent with effects on membrane excitability caused by surface charge screening or alterations in calcium-regulated conductances (see Discussion). However, the results of other
manipulations fit imperfectly with this overall notion; 0.5 Ca/1 Mg was
similar to 1 Ca/4 Mg (n = 5), and 2 Ca/10 Mg had little
effect on STD (n = 2).

View larger version (26K):
[in this window]
[in a new window]
|
Figure 4.
Complex effects on depression with reduced
[Ca2+]o and/or increased
[Mg2+]o ( Ca/Mg). A,
Sample records from two cells, illustrating diverse effects of 1 Ca/2
Mg solution. In both cells 1 Ca/2 Mg reduced initial EPSCs, but
depression in cell 1 was unchanged while depression in
cell 2 was reduced. Averages of four to nine traces
displayed. B, Average effects of three different solutions.
Control QEPSC responses were normalized by first
response in control for each cell and averaged across cells
(solid squares). Each Ca/Mg QEPSC
was normalized by first response in Ca/Mg before averaging across
cells (open triangles). Inhib. refers to the
average decrease in size of QEPSC after first
stimuli in Ca/Mg compared with control. C, D,
Multiple regression analysis of relative change in paired-pulse
depression (relative PPD) correlated with two factors:
QEPSC size in Ca/Mg relative to control
(S1 Ca/Mg/S1control), and
paired-pulse plasticity in control
(S2control/S1control). Relative
PPD = (PPD in Ca/Mg PPD in control)/PPD in control,
where PPD = (S1 S2)/S1. Data pooled across 31 cells in
various Ca/Mg solutions; each symbol represents data from one cell,
averaged over 5-20 sweeps. Partial correlation coefficients are
denoted by r2 values. C,
Scatter plot of relative PPD versus initial
QEPSC in Ca/Mg, normalized by initial
QEPSC in control
(S1 Ca/Mg/S1control). There was no
significant correlation (solid line) when both factors were
considered. D, Scatter plot of relative PPD versus
paired-pulse plasticity in control
(S2control/S1control). A significant
correlation (solid line) was present even when both factors
were considered; in cells with strongest baseline depression
(S2control/S1control small), the depression was
least affected by Ca/Mg.
|
|
To test whether the effects of
Ca/Mg were consistent on the
whole with release-dependent depression, we pooled all of the data
obtained with various
Ca/Mg solutions and looked for the expected
relation between the extent of inhibition in
Ca/Mg and the changes
in depression (Kusano and Landau, 1975
). We first noted that many of
the cells with the greatest inhibition in
Ca/Mg (i.e., the smallest
values of
S1
Ca/Mg/S1control,
where S1 refers to the size of the EPSC evoked by the first
stimulus) also showed the largest decreases in paired-pulse depression
(Fig. 4C). The greatest decreases in paired-pulse depression
correspond to the most negative values of relative
PPD in Figure 4,
C and D, where PPD was defined as (S1
S2)/S1 for each condition, and relative
PPD was defined as
(PPD in
Ca/Mg
PPD in control)/PPD in control. However, the
overall correlation appeared weak, because many cells with significant
inhibition by
Ca/Mg had very little change in depression (Fig.
4C). We also recognized another, more robust trend: in cells
that had the most baseline depression in control, PPD was hardly
affected by
Ca/Mg (Fig. 4A, cell 1). With weaker baseline depression,
Ca/Mg had more effect on short-term plasticity (Fig. 4A, cell 2). Regression
analysis of data from all cells confirmed this trend (Fig.
4D) and revealed a strong correlation between the
extent of the baseline depression in control (S2control/S1control) and
the changes in depression (relative
PPD).
To gauge the relative importance of these two factors,
S1
Ca/Mg/S1control and
S2control/S1control, as
predictors of relative
PPD, we performed multiple regression
analysis. This analysis revealed that there was no significant
correlation in Figure 4C when the effects of
S2control/S1control were
included, whereas the correlation in Figure 4D
remained significant. The apparent relation in Figure 4C was
spurious and derived from the strong correlation in Figure
4D, coupled through a clear correlation between
S1
Ca/Mg/S1control and
S2control/S1control
(R2 = 0.15, p < 0.05; data not
shown). The lack of genuine correlation between
S1
Ca/Mg/S1control and
relative
PPD (Fig. 4C) was clearly inconsistent with the
presence of release-dependent depression, in agreement with the
previous results with Cd2+.
The results with altered Ca2+ and
Mg2+ were difficult to interpret in their entirety,
but nonetheless, two conclusions could be reliably drawn. First,
release-dependent depression cannot account for these effects. Second,
there was a robust correlation between the extent of depression and the
effects of altering calcium and/or magnesium. On the whole, the data
were most consistent with changes in axonal excitability (perhaps
because of a combination of surface charge screening and alterations in
calcium-regulated conductances) superimposed upon release-independent
short-term depression (see Discussion).
We next used an independent method (Fig.
5) to further test for the presence of
release-dependent STD, taking advantage of the intrinsic fluctuations
in the sizes of EPSCs from sweep to sweep (Thomson et al., 1993
;
Debanne et al., 1996
). In the presence of a release-dependent
depression mechanism such as vesicle depletion, there should be an
inverse correlation between successive, relative EPSC sizes; relatively
large first EPSCs should be followed by relatively small second EPSCs,
and smaller-than-average first EPSCs should be followed by
larger-than-average second EPSCs. Explicit simulation of
release-dependent depression in a reasonably sized population of
synapses (see Materials and Methods) confirmed that the theoretically
expected correlation should be experimentally resolvable (Fig.
5A). In this simulation, release probability was reduced by
a factor f only in those sites that released successfully, as illustrated in simplified form (Fig. 5D,
pathway through left branch). The value of
f (0.02) and the distribution of initial release
probabilities (mean 0.2) were chosen to yield paired-pulse depression
of 30.4%, similar to experimental data (Fig. 3) (see Materials and
Methods). This correlation method is sensitive enough to detect
release-dependent paired-pulse depression as small as 14.4% (see
Materials and Methods). Such correlations have been found
experimentally for transmission between pyramidal cells in neocortical
and hippocampal slices (Thomson et al., 1993
; Debanne et al., 1996
).
For release-independent depression, however, there should be no such
inverse correlation between EPSC sizes (Fig. 5B), and
simulations demonstrated that spurious correlations did not arise with
experimentally attainable sample sizes. Here, simulated release
probabilities were uniformly reduced by a factor g (Fig. 5D, pathway through right branch). The
presence or absence of this relationship therefore serves as another
criterion that can be used experimentally to resolve which of these two
general classes of depression predominates.

View larger version (33K):
[in this window]
[in a new window]
|
Figure 5.
Sweep-to-sweep fluctuations in first EPSC sizes
did not affect second EPSCs. For both simulations and experimental
data, each first QEPSC was normalized by the
first QEPSC average (normalized S1)
and each second QEPSC was normalized by the
second QEPSC average (normalized S2).
A, Simulation of release-dependent depression. Four hundred
pairs of EPSCs were generated using a model with 500 binary release
sites (see Materials and Methods). There was a significant inverse
correlation between successive, normalized EPSC sizes (open
squares, individual simulated EPSC pairs; solid line,
linear regression). Regression slope was 0.37, with 95% confidence
interval 0.49 to 0.25. B, Simulation of
release-independent depression. There was no correlation here between
successive normalized EPSC sizes. C, Experimental data; 415 sweeps in control solutions (solid squares) taken from 28 stable cells were normalized for each cell and then pooled. No
significant correlation between normalized first and second EPSC sizes;
the slope of the best fit regression line through the data was 0.074,
with 95% confidence interval 0.24 to 0.09. D, Simplified
illustration of release-dependent versus release-independent depression
mechanisms used in simulations. Before the first stimulus (Prior
to S1), autaptic release sites (ovals) had nonuniform
release probabilities (numbers inside ovals).
With the first stimulus (S1) some sites released
(fourth, seventh, and ninth sites from
left). With short-term synaptic depression, the net efficacy
of the synapses was then decreased (Prior to S2). For
release-dependent depression (left), the sites that released
on S1 had their release probabilities reduced (multiplied by
f < 1), whereas other sites were unchanged. For
release-independent depression (right), all sites had their
release probabilities reduced (multiplied by g < 1).
|
|
The correlation analysis for experimental data is shown in Figure
5C. We took 415 data sweeps from 28 cells, normalized the response amplitudes for each cell, and then pooled all of the normalized data across cells. All responses used in this analysis were
recorded in control 2 Ca/1 Mg solutions. Only groups of at least eight
traces in which neither the first EPSC amplitude nor the mean
short-term plasticity were changing systematically with time were
accepted (see Materials and Methods). In this pooled data, the second
EPSC amplitudes were on average 68% of the first EPSC amplitudes. As
in the release-independent simulations, there was no correlation
between relative first and second EPSC sizes.
To screen for release-dependent depression in a specific subset of
cells, we focused our correlation analysis on 6 of the 28 cells that
showed the greatest decreases in depression with
Ca/Mg. These cells
had relative
PPDs ranging from
0.53 to
1.67. We reanalyzed the
correlations between normalized first and second EPSC amplitudes for
these six cells individually and for all six pooled. In the analysis of
individual cells, there was no significant correlation in five of the
six cells. In the sixth, we found a significant negative correlation
(slope
1.12, 95% confidence interval
1.88 to
0.36,
R2 = 0.46, p = 0.0075).
Relative
PPD for this cell was in the middle of the range,
0.91.
The pooled data from all six cells did not show any significant
correlation (slope
0.16, 95% confidence interval
0.56 to 0.23, R2 = 0.006, p = 0.43). Thus we
conclude that in general, even for cells with depression that was
alleviated when extracellular calcium was lowered, the sorts of
correlations expected of release-dependent depression were not present.
This further strengthens the evidence that the changes in short-term
depression shown in Figure 4 are not a reflection of a
release-dependent mechanism, and thus we conclude that the depression
is of a release-independent variety.
Presynaptic action potential hypothesis
What sort of mechanism(s) could produce release-independent
short-term depression? The source of depression is likely to be presynaptic, given that there were no substantial changes in the size
of miniature EPSCs during depression in this preparation (Mennerick and
Zorumski, 1995
; Brody and Yue, 2000
). Miniature EPSC amplitudes
are representative of postsynaptic contributions, such as availability
of neurotransmitter receptors and dendritic filtering properties.
However, if the efficacy of synaptic transmission were reduced at
presynaptic steps that occur before vesicle release, release-independent depression would result. Candidates include alterations in presynaptic action potentials (Hawkins et al., 1983
),
inactivation of presynaptic calcium channels (Patil et al., 1998
), and
desensitization of the release machinery to calcium (Hsu et al., 1996
).
Here we focused on presynaptic action potentials; calcium channel
inactivation and release machinery desensitization will be the objects
of future study.
Somatic APs were recorded in current-clamp mode (see Materials and
Methods) to generate hypotheses about the presynaptic APs (Fig.
6). Single APs in control solutions plus
NBQX peaked at 33.7 ± 2.5 mV (n = 12 cells) and
were 1.47 ± 0.08 msec wide at half amplitude (Fig.
6A). With short interstimulus intervals, the second
APs were broader but considerably lower in amplitude. When the
interstimulus interval was varied, the second APs regained amplitude
with a time constant of 8.2 ± 2.3 msec (n = 5)
(Fig. 6B,C), similar to the fast
time constant of recovery from STD (Fig. 2). Even with 60 msec
intervals, the second AP amplitudes did not fully return to the size of
the first spike but reached a plateau 3.1 ± 1.0 mV lower. This
too was similar to the recovery from STD in these cells, which also had
an apparent plateau attributable to the slow component of recovery
(Fig. 2). The widths of the second action potentials relaxed similarly
with varying interstimulus intervals; both the amplitude and width
curves could be fit by single exponentials with the same time constant
(Fig. 6C). The spikes recovered entirely within 15 sec, but
we were not able to resolve the time course of the slower phase of
recovery. Thus we hypothesized that if the presynaptic action
potentials were similar to those recorded at the somata, changes in
their amplitude could be responsible for some or all of the STD.

View larger version (24K):
[in this window]
[in a new window]
|
Figure 6.
Somatic APs. A, In current-clamp mode,
current injection at the soma triggered brief APs. Measurement of peak
(+35 mV) and half-amplitude width (1.8 msec) is illustrated.
B, Four overlaid pairs of APs at varied interstimulus
intervals. With pairs of current injections, peak amplitudes were lower
and half-amplitude widths were greater for the second AP. C,
The peak (left) and half-amplitude width (right)
of the second AP recovered toward the values of the first AP with
increasing interstimulus intervals. Recovery time courses for both
parameters were well fit by single exponentials (solid
lines) with the same time constant, 7.3 msec. Data from same cell
as in A and B.
|
|
To support this hypothesis, we demonstrated that the EPSC sizes were
sensitive to a manipulation that changed somatic AP amplitudes (Fig.
7). Low doses of tetrodotoxin (TTX), a
specific blocker of voltage-gated sodium channels, reduced somatic AP
peak height while leaving half-amplitude widths unchanged (Fig.
7A,B). A second spike triggered 20 msec later was also reduced in amplitude by a similar proportion, so
that the ratio of second peak height to first peak height was not
changed significantly in TTX (Fig. 7A,B). Synaptic efficacy, as
reflected in the EPSC sizes (back in voltage-clamp mode), decreased
considerably in TTX (Fig. 7C) with an average reduction of
~40% (Fig. 7D). Thus transmitter release was indeed
sensitive to changes in the action potential amplitude. Furthermore,
TTX increased depression (Fig. 7C,D), such that
EPSCs were on average ~10% of their initial amplitudes after 10 pulses, whereas they were ~20% of initial size in control for this
group of cells (Fig. 7D). The increase in depression in TTX
provided further evidence that a presynaptic mechanism involving
changes in the AP waveform produced the observed depression.

View larger version (33K):
[in this window]
[in a new window]
|
Figure 7.
Low doses of TTX reduced AP and EPSC amplitudes,
while increasing STD. A, Two pairs of current-clamped APs
from the same cell, one in control and the other in 10 nM
TTX, illustrating reduction in AP peak amplitudes. B, AP
parameters averaged across cells. APs peaked lower and widths were
unchanged in TTX. C, Sample EPSCs from a cell with
larger-than-average effects of TTX. EPSCs were reduced 79%, and
paired-pulse depression was increased from 31 to 62% in this cell.
D, Normalized QEPSC averages in
control (solid squares) and TTX (open diamonds).
Left, Normalized by the first EPSC in control. First EPSCs
reduced 38 ± 13% in TTX. Right, Normalized by the
first EPSC in each condition, to show increase in STD. Averages across
seven cells, p values 0.02-0.12 for stimuli 2-10.
|
|
Three lines of experiments were performed to attempt to reduce
short-term depression by strengthening presynaptic action potentials. First, lowering intracellular sodium to 4 mM decreased the
extent of short-term depression: paired-pulse modulation, as gauged by the first two responses in a 50 Hz train, was 0.73 ± 0.03 (n = 4 cells; data not shown), whereas the paired-pulse
modulation in control (12 mM Na+) was
0.57 ± 0.04, (data shown in Fig. 3). Depression was similarly affected during the remainder of the responses in 50 Hz trains. The
differences in the extent of depression were statistically significant
(p < 0.05) for each of the responses in the
trains. This finding adds further to the evidence favoring action
potential changes as a contributor to depression. In 4 mM
[Na+]i, the remaining
depression was still release independent, in that decreasing release
probability with Cd2+ did not affect the extent of
depression in three of the four cells.
Second, changing the membrane potential at the soma in the
interstimulus intervals from
80 mV to
100 mV would be expected to
substantially accelerate the recovery from inactivation of sodium
channels (Kuo and Bean, 1994
). However, hyperpolarization had no effect
on depression (n = 8; data not shown). A negative result is inconclusive, however, because the relevant axonal sodium channels may be electrically too distant from the soma to be affected by changes in holding potential.
Finally, we applied the anemone toxin ATX II, which reduces sodium
channel inactivation (Mantegazza et al., 1998
) but had inconsistent
effects on short-term plasticity (data not shown). Although other
toxins might yield better results, we did not pursue this line of
investigation further.
Evidence for action potential conduction failure
The somatic action potential results (Fig. 6), the effects of TTX
(Fig. 7), and the findings with lowered
[Na+]i pointed to a mechanism of
depression involving decrements in the strength of axonal action
potentials. This could occur in at least two ways. First, lower
amplitude action potentials arriving at the presynaptic terminal could
be less effective at opening the voltage-gated calcium channels that
trigger vesicle release. Such changes would be expected to
progressively decrease vesicle release probability
(PR) in a release-independent manner.
Alternatively, lower amplitude action potentials might be less likely
to propagate through regions of high electrical impedance, such as
through axonal branch points. If the probability of successful action potential conduction at axonal branches (PC)
decreases with repetitive stimulation, net synaptic efficacy would be
reduced, also in a release-independent manner. For the simplest
formulation in which all branches and release sites are assumed to be
identical and independent, these two alternatives would have
indistinguishable effects on mean EPSC amplitudes. This is because the
mean EPSC amplitudes are directly proportional to both
PR and PC, as shown in
Equation 1:
|
(1)
|
where NB represents the number of branches,
SB is the number of release sites per branch,
and q is the quantal EPSC size for each successful release.
Therefore, to distinguish between reduction in release probability
versus increases in conduction failures at axonal branches, we
calculated the expected EPSC variances for the two scenarios (Figs.
8, 9;
Appendix). Two experimental constraints were imposed on these
calculations. First, the initial action potential conduction probability was taken to be close to 1 for all branches (Luscher et
al., 1994b
; Mackenzie et al., 1996
; Mackenzie and Murphy, 1998
). Second, the initial vesicle release probability was required to be less
than 1/3.47
.29, because in an extracellular solution designed
to maximize presynaptic calcium entry, including 4 mM Ca2+ plus 100 µM 4-AP, the initial
EPSCs were on average 3.47-fold larger than in control solutions (Fig.
9A) (Brody and Yue, 2000
). With these assumptions and
constraints, the expected variances for the release probability model
and the conduction failure model were distinct for a wide range of
parameters (Fig. 8, Appendix). Modeling depression attributable only to
changes in release probability (PR) showed that
the variance would decline monotonically with depression of mean EPSCs
(Fig. 8A,D). Mean EPSCs in this
case decreased in direct proportion to PR, and
experimentally determined EPSC means and variances during a train of
stimuli would map onto this relation at discrete points. When the
assumption of identical release sites was relaxed, reduction in release
probabilities produced similar monotonic declines in variance (data not
shown). By contrast, in models of progressive decreases in action
potential conduction probability (PC) alone, the
expected variance could take a nonmonotonic course, rising and falling
parabolically with decreasing mean EPSCs (Fig.
8B,E). In this case, mean EPSCs
decreased in direct proportion to PC, and the
exact form of the mean-variance relation for such axonal branch point
failure is given by Equation 2, as derived in the Appendix:
|
(2)
|
The extent of the rise and fall in variance increased with the
number of release sites per axonal branch (SB)
(Fig. 8B) and also depended on the release
probability (see Appendix). The sharper increases in peak variance for
large values of SB occur because multiple
release sites fail with conduction block of each axonal branch,
creating stochastic "events" that are larger in amplitude than the
release of individual vesicles. This feature is represented diagrammatically in Figure 8E. For a single release
site for each branch (SB = 1), the two
models were formally identical, because the equation reduced to the
well known binomial variance formula (see Appendix) (del Castillo and
Katz, 1954
; Faber and Korn, 1991
). Thus, with sufficiently large
numbers of release sites per branch, variance analysis could
distinguish between depression arising from decreases in release
probability and depression attributable to decreases in conduction
probability.

View larger version (25K):
[in this window]
[in a new window]
|
Figure 8.
Expected EPSC variance in two models of
release-independent STD. A, Depression attributable to
decreasing release probability (PR) at each
vesicle release site. Variance fell monotically with decreasing
PR when initial PR was
constrained to be <0.29 (see Results). Curve plotted according to the
binomial variance formula, 2 = NPR(1 PR).
B, Depression attributable to decreasing action potential
conduction probability (PC) through axonal
branches. Variance could fall monotically, or rise and then fall with
decreasing PC, depending on the number of
release sites per axonal branch (SB). Curves
plotted according to Equation 2, with PR = 0.29 and initial conduction probability (PC1)
constrained to 1. N and q do not affect the
normalized variance. C, Depression attributable to
decreasing PC with heterogeneity in axonal
branch properties. Populations of 500 axonal branches with
heterogeneous numbers of sites per branch (SB).
SB values were drawn from a normal distribution
with mean 30 and SDs between 10 and 30 as labeled. In addition, the
rate of decrease in PC was also heterogeneous
across branches, with mean 0.2 and SD 0.05 (see Materials and Methods).
Mean-variance relations were nearly parabolic, with clear rise and
fall in variance with depression of the mean. D, Simplified
illustration of depression attributable to reduced release probability.
Similar format as in Figure 5D except that all release sites
had the same initial release probability. E, Depression
attributable to reduced axonal conduction probability at axonal
branches. In this illustration, action potential failed to propagate
through center branch, effectively removing three release sites.
Release probabilities were unchanged at other sites. F,
Schematic representation of heterogeneous axonal branch properties.
Note range of numbers of release sites per branch and variety in axonal
branching complexity. Axonal branching complexity represents one
potential mechanism underlying heterogeneous conduction probabilities
through terminal branches (see Materials and Methods).
|
|

View larger version (16K):
[in this window]
[in a new window]
|
Figure 9.
Experimentally measured EPSC variances during STD.
A, Demonstration of acceptance criteria for variance
measurements. Seventeen first and second EPSCs (solid
diamonds, S1 and open squares,
S2) were stable in amplitude over time (dashed
lines: slope = 0). EPSCs were 2.7-fold larger in 4 mM Ca2+ plus 100 µM 4-AP,
constraining initial PR to <0.37.
B, QEPSC variance
( 2) versus QEPSC mean
during STD for two representative cells. Left,
Clear increase and decrease in variance with STD. Solid
line, Fit to Equation 2, the axonal conduction failure formula,
with initial conduction probability (PC1)
constrained to 1, SB = 8.29, PR = 0.32, NB = 111, and q = 0.038 pC. Data from 16 sweeps.
Right, No clear rise in variance with depression.
Nonetheless, a better description of the data was provided by Equation 2 with PC1 constrained to 1, SB = 6.06, PR = 0.21, NB = 447, and q = 0.042 pC than by the binomial variance
formula with N = 809, PR
initially = 0.37, and q = 0.072 pC. Data were
from 18 sweeps. C, Average mean-variance relation. For
seven cells that met acceptance criteria, both EPSC means and variances
derived from 10-18 sweeps per cell were normalized by their initial
values and averaged across cells. Equation 2 was fit to these averaged
data as detailed in Materials and Methods, with parameters as shown.
Multiple linear regression analysis of variance versus mean and
mean2 yielded a nearly identical fit, with
R2 = 0.866 and p values
for coefficients of the mean and mean2 of 3 × 10 8 and 2.5 × 10 7,
respectively.
|
|
For our analytic model of short-term depression caused by axonal branch
point failure, we assumed that all axonal branches had the same number
of sites (i.e., SB was constant) and the same probability of failing during depression (i.e.,
PC decreased uniformly at all branches). These
assumptions were necessary for the derivation of an analytical relation
between mean and variance (see Appendix). When we relaxed these
assumptions and numerically computed the expected variance for several
possible nonuniform distributions of numbers of sites per branch
(SB) and rate of decline in action potential
conduction probability (PC) (see Materials and
Methods), we found that the trends illustrated by our analytic result
were maintained; depression attributable to branch point failure led under many circumstances to near-parabolic relations between mean and
variance (Fig. 8C). This sort of heterogeneity in the
numbers of sites per branch and action potential conduction probability is represented in the diagram in Figure 8F.
Interestingly, as the dispersion in the number of sites per branch
increased, the rise and fall in variance with progressive conduction
failure became more extreme (Fig. 8C). This may occur
because of the nonlinear relationship between the number of sites per
branch and the magnitude of the peak in variance (see Appendix, Eq. A11). Thus, the distinction in expected variance between depression
arising from decreases in release probability and depression
attributable to decreases in conduction probability did not depend
critically on the simplifying assumptions used for the analytic solutions.
Experimentally, we observed a clear rise and fall in variance on
average during short-term depression (Fig. 9). To ensure that rundown
or patch instability did not contaminate variance estimates, cells were
accepted for this analysis only if there were at least 10 continuous
sweeps in control conditions with no systematic change in EPSC
amplitudes over time (Fig. 9A). Also, EPSCs had to be at
least twofold larger in 4 mM Ca2+ plus
100 µM 4-AP (Fig. 9A). This final requirement
was met in all cells tested and was included to ensure that any
nonmonotonic mean-variance relationships could not be caused by
decreasing release probability (Silver et al., 1998
). In total, seven
cells met both of our criteria. In four of these, EPSC variances
increased and then decreased with progressive depression of the mean
(e.g., Fig. 9B, left). The mean-variance
relations in these cells were well described by Equation 2 with
relatively large values of SB. In the other
three cells, there was not a resolvable rise in variance (e.g., Fig.
9B, right), and the data were well described by
Equation 2 with values of SB that were below the
threshold for producing a distinct peak in variance (see Appendix, Eq. A10, and Fig. 8B). Even in these cases, the data were
better fit by the branch point failure equation (Fig. 9B,
right, solid line) than by the binomial variance
formula (dotted line), although this is not surprising, because the branch point failure equation has more free parameters than
the binomial variance formula. Overall, the average across the seven
cells showed a clear rise and fall in variance (Fig. 9C),
which again was well fit by Equation 2 (Fig. 9C, solid
curve). More complex models incorporating mixtures of types
of depression provided still better fits (data not shown) but required
additional free parameters. In the best fitting mixture models,
conduction failure always contributed a substantial part to the overall
depression (data not shown). Thus, the experimental measurements of
EPSC variance were consistent with action potential conduction failure underlying the short-term depression.
It is worth noting that interpretation of the variance data requires an
assumption about the initial action potential conduction probabilities
and vesicle release probabilities (see Appendix). In particular, we
interpret the rise and fall of variance to mean that the probability of
action potential conduction (PC) started close
to 1 and declined with short-term depression; the maximal variance
occurred for intermediate values of PC (see
Appendix). Alternatively, however, this parabolic variance could have
been caused by vesicle release probabilities
(PR) initially near 1 that declined during
depression (Silver et al., 1998
). This alternative scenario could be
consistent with our data if we interpreted the more than twofold
increase in EPSCs with 4 mM Ca2+ plus
4-AP as evidence that PC was initially <0.5.
Indeed, it has been reported in abstract form that conduction failures
during single stimuli may be responsible for some "silent synapses"
in cultured neurons (Thio and Yamada, 1998
). However, the balance of
the published data in the literature supports the assumption that the
release probabilities were initially low and that action potential
conduction was initially reliable (Hessler et al., 1993
; Allen and
Stevens, 1994
; Luscher et al., 1994b
; Mackenzie et al., 1996
; Mackenzie
and Murphy, 1998
). Thus the most likely explanation of the variance
data is that conduction failures were responsible for the depression.
 |
DISCUSSION |
We have found that in hippocampal neurons grown in microisland
cultures, short-term synaptic depression had several unusual features.
The depression was not caused by a release-dependent mechanism such as
vesicle depletion, because depression was unaffected by reduction of
initial release probability with Cd2+. This was
confirmed by the absence of an inverse correlation between successive,
relative EPSC sizes that would be expected for release-dependent
depression. Instead, one source of STD could be progressive increases
in the probability of AP conduction failure along axonal branches. Four
lines of evidence favored this mechanism. The somatic AP amplitudes
declined with repetitive stimulation, modest reduction in AP amplitude
with tetrodotoxin inhibited EPSCs significantly, lowering of
[Na+]i decreased depression, and the
variance of EPSCs rose and fell with monotonic depression of the EPSC mean.
Can the observed changes in APs account entirely for the depression in
EPSCs? There are several factors that preclude a definitive answer.
First, somatic APs may be different from those at branch points and
terminals, because of differences in the geometry, membrane properties,
and/or distribution of ionic channels at various subcellular locations
(Hoffman et al., 1997
). Second, there are nonlinearities in the
relations between spike amplitudes and conduction through axonal branch
points, plus complex effects of AP parameters on synaptic release probability.
Recent experimental findings and detailed simulations (Streit et al.,
1992
; Luscher et al., 1994a
,b
; Debanne et al., 1997
; Kopysova and
Debanne, 1998
) make conduction failure seem a reasonable possibility.
However, we have not directly observed this AP conduction failure, so
other mechanisms not explicitly excluded are possible. We also cannot
say whether conduction failure entirely explains depression; there
could be other release-independent depression mechanisms acting
concurrently. Candidates for such mechanisms inclu