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The Journal of Neuroscience, October 15, 2002, 22(20):9078-9085
A Lateral Excitatory Network in the Escape Circuit of Crayfish
Jens
Herberholz,
Brian L.
Antonsen, and
Donald H.
Edwards
Department of Biology, Georgia State University, Atlanta, Georgia
30302-4010
 |
ABSTRACT |
A phasic stimulus directed to the rear of a crayfish
(Procambarus clarkii) creates mechanosensory input to
the lateral giant (LG) interneuron, a command neuron for escape. A
single LG spike is necessary and sufficient to produce a highly
stereotyped tail flip that thrusts the animal away from the source of
stimulation. Here we describe a lateral excitatory network among
primary afferent axons in the last abdominal ganglion of crayfish that
produces nonlinear amplification of the sensory input to the command
circuitry for escape. The lateral excitation is mediated by electrical
synapses between central terminals of primary mechanosensory afferents. The network enables stimulated afferents to recruit unstimulated afferents that contribute additional input to LG and to mechanosensory interneurons that also converge on LG. When depolarized, the LG neuron
increases its own inputs from primary afferents and primary interneurons by facilitating the recruitment of both. Conversely, hyperpolarization of LG reduces the excitability of primary afferents and primary interneurons. The crayfish's decision to escape,
previously thought to lie exclusively in the synaptic integrative
properties of LG, is now seen to depend on the interactions between LG
dendritic postsynaptic potentials and the responses of primary afferent terminals in the lateral excitatory network.
Key words:
crayfish; escape; lateral giant neuron; afferents; interneurons; lateral excitation
 |
INTRODUCTION |
Lateral inhibition among arrays of
primary afferents or low-order interneurons is ubiquitous in sensory
systems of vertebrates and invertebrates and serves to enhance spatial
and temporal contrast (Hartline and Ratliff, 1957
; Shepherd and
Brayton, 1979
). Much less understood are patterns of lateral
excitation, in which the response of each afferent helps to
excite neighboring afferents. Lateral excitation amplifies responses of
neurons that are tuned to qualitatively similar stimuli and can be
mediated by both chemical (Petersen and Sakmann, 2000
) and electrical
synapses (Hsu et al., 2000
). Lateral electrical coupling occurs between
the pedicles of primate retinal cones, where coupling between cones of
the same spectral sensitivity enhances the signal-to-noise ratio, whereas coupling between cones of differing spectral type reduces it.
Lateral electrical excitation also occurs among primary mechanosensory afferents involved in leg reflexes in locust (Burrows and Matheson, 1994
) and crayfish (El Manira et al., 1993
; Clarac et al., 2000
), linking afferents that serve similar reflex functions, perhaps with the
effect of increasing their combined input to a common set of
postsynaptic cells.
We have found a lateral excitatory network among the mechanosensory
afferents to the lateral giant (LG) interneuron in crayfish, a command
neuron for tailflip escape (Edwards et al., 1999
). Primary afferents
innervate touch-sensitive hairs and stretch receptors in the tailfan
(Wiese, 1976
; Newland et al., 2001
) and provide input to LG via
monosynaptic and disynaptic pathways in the terminal ganglion (Krasne,
1969
). The monosynaptic pathway is mediated primarily by rectifying
electrical synapses, whereas the disynaptic pathway contains chemical
synapses between primary afferents and mechanosensory interneurons and
rectifying electrical synapses between the interneurons and LG (Zucker,
1972
; Edwards et al., 1991
, 1998
; Newland et al., 2001
). The lateral
excitatory network is mediated by patterns of electrical coupling among
the terminals of primary afferents. It enables stimulated afferents to
recruit unstimulated afferents; this recruitment is enhanced by
depolarization of the LG neuron. Excitation of LG then depends on
activation of a positive feedback between the depolarizing EPSP in LG
and the recruitment of afferents that excite LG both directly and indirectly through mechanosensory interneurons.
 |
MATERIALS AND METHODS |
Crayfish (Procambarus clarkii) of both sexes and
between 3.5 and 5 cm were obtained from commercial suppliers and kept
in communal tanks for not >2 weeks before experiments. Animals were anesthetized on ice for 20-30 min, and the ventral nerve cords were
exposed by removing the dorsal exoskeleton, viscera, and axial
musculature. The saline used for all procedures was of the following
composition (in mM): 202 NaCl, 5.37 KCl, 13.53 CaCl2, 2.6 MgCl2, and 2.4 HEPES, pH 7.4.
Anatomy. Dye coupling between LG and other members of
the circuit was demonstrated by picospritzing (PV820 PicoPump; World Precision Instruments, Sarasota, FL) a mixture of 2%
Neurobiotin (NB) (Vector Laboratories, Burlingame, CA) and 0.7% 10,000 molecular weight (MW) dextran-linked Texas Red (TR) (Molecular Probes,
Eugene, OR) in 0.3 M KCl into the LG axon
immediately rostral to A6 (Fig. 1).
Desheathing of the A5-A6 connective was necessary to allow penetration
of the low resistance (5-10 M
) picospritzing electrodes. After
filling the cell, the tissue was placed in 4% paraformaldehyde fixative in saline, pH 7.4, at 4°C for 16 hr. After fixation, tissues
were washed in three changes for 1 hr each of 0.1 M phosphate buffer, pH 7.4, with 0.1% Triton-X
100 (PBTX) at 4°C, then placed in a 1:50 dilution of
streptavidin-linked Alexa Fluor 488 (Molecular Probes) in PBTX for 16 hr at 4°C. After this, they were washed in four changes of PBTX for 1 hr each and dehydrated. To visualize dye coupling between afferents, LG
was filled via picospritzing 0.7% dextran-linked TR, and single
afferents shown to be electrophysiologically connected to LG were
filled with NB by iontophoresis. Lucifer Yellow (LY) (Sigma, St. Louis,
MO) was iontophoresed into either LG or individual afferents in some
preparations to confirm the NB dye-coupling results. All preparations
were imaged on a Zeiss LSM 510 confocal microscope using 20× Fluor air
interface and 63× C-Apochromat water interface lenses. Full images of
all labeled structures were acquired using the 20× objective and
interslice intervals between 4 and 4.1 µm. Details of some
preparations were imaged with the 63× objective and intervals of
2.0-2.1 µm. All images were captured using full resolution
(2048X2048) and were stored with false colors based on the emission of
the fluorophores. Projections of confocal stacks were made using Adobe
Photoshop 6 software with TIFF images exported from the Zeiss
software.

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Figure 1.
Schematic drawing of the crayfish's terminal
ganglion (A6) and the peripheral sensory nerves
(N1-N5) in which all experiments were performed. The
following parts of the LG escape circuit are shown: LG
(black), primary mechanosensory interneuron (dark
gray), and primary afferent (light gray).
Extracellular and intracellular electrodes are shown in their typical
positions.
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Electrophysiology. Individual animals were firmly pinned in
a Petri dish lined with Sylgard (Dow Corning, Midland, MI) and bathed
in saline. One suction electrode was placed on the nerve cord rostral
to the terminal ganglion to monitor the activity of ascending
interneurons and to stimulate LG. One or two suction electrodes were
placed on peripheral nerves of A6 to evoke afferent volleys (Fig. 1).
Intracellular microelectrodes for recording and current injection had
resistances of 15-35 M
. Because chloride-dependent depolarizing
inhibition is ubiquitous in the escape circuit of crayfish (Edwards et
al., 1991
), we used 2 M potassium acetate-filled recording electrodes for afferents and interneurons to avoid changes in
the chloride reversal potential that might convert inhibition to
excitation. LG has a much larger volume, and recording microelectrodes filled with 3 M KCl proved to work best. LG was
impaled with one or more microelectrodes in the initial segment in
close proximity to A6 (Fig. 1) and identified by its response to
sensory nerve stimulation. Afferent recording microelectrodes were
placed in different sensory nerves close to their roots (Fig. 1).
Primary afferents and mechanosensory interneurons, including
Interneuron A, were identified by their response to nerve cord
stimulation and by their morphology as revealed by injection with NB or
LY. We used AxoClamp2A, AxoClamp2B (Axon Instruments, Foster City, CA)
and a Getting microelectrode amplifier (model 5A) for current- and
voltage-clamp experiments and a Grass stimulator (model S88) and an A-M
Systems differential amplifier (model 1700) for stimulation and
recording through suction electrodes. Clampex 8.0 and Clampfit 8.0 (Axon Instruments) were used to store and analyze the data.
Neuronal modeling. A multicompartment electrical circuit
model was used to simulate responses and interactions in the lateral excitatory network. The model was built and tested using the program NEURON8J developed by Donald H. Edwards. The program uses a
5th-order Runge-Kutta-Feldberg numerical
integration procedure. The reversal potentials for the three cell types
were: afferents: ENa = +45 V,
EK =
70 mV,
EL =
75 mV; interneurons:
ENa = +45 mV,
EK =
65 mV,
EL =
78 mV; LG:
ENa = +45 mV,
EK =
70 mV,
EL =
78 mV. The corresponding
maximal conductances were: afferents: GNa = 120 µS,
GK = 36 µS,
GL = 1 µS; interneurons:
GNa = 160 µS, GK = 48 µS,
GL = 1.33 µS;
LGD (is passive):
GNa = 0 µS,
GK = 0 µS,
GL = 1 µS;
LGIS (is active):
GNa = 200 µS,
GK = 60 µS,
GL = 1.67 µS. Chemical synaptic
current is described by
Isyn(t) = (Vpost - Esyn)Gsynmax
(t/
s)s
e
t/
s, where
Vpost is the postsynaptic membrane
potential, Esyn = 0 mV (~70 mV above
rest potential), Gsynmax = 0.15 µS,
s = 0.5, and
s = 1 msec. The
rectifying electrical synaptic conductances are described by
Grec(Vpre
Vpost) = Gmax + (Gmin - Gmax)/(1 + e(0.15 × (Vpre
Vpost))), where Gmax
is 0.33 µS and Gmin is 0.005 µS
(Giaume et al., 1987
). The opening and closing time constants for the
rectifying synapse conductance are assumed to be identical and equal to
rec = 0.75 msec (Jaslove and Brink, 1986
). The
kinetics of the conductance are given by the first-order differential
equation
dGrec(t)/dt = [Grec(Vpre
Vpost)
Grec(t)]/
rec.
 |
RESULTS |
Dye coupling
The LG is dye-coupled to primary afferents (Zucker, 1972
; Edwards
et al., 1991
, 1998
; Antonsen and Edwards, 2000
), as shown by passage of
the low molecular weight tracer NB (367 MW) (Fig. 2). Dye coupling reveals that the
afferent input from the tailfan is spatially segregated onto discrete
areas of the dendritic tree of the LG (Fig. 2A). Each
nerve innervates sensory organs on one region of the tailfan in an
approximate lateromedial order (Calabrese, 1976
), and this is reflected
in their projection onto the LG dendritic tree. Furthermore,
afferent-LG contacts occur at the distal terminals of each major
dendritic branch (Fig. 2B). Injection of NB into axons of single primary afferents that monosynaptically
excite LG reveals that each afferent is dye-coupled to between one and twelve other afferents (4.1 ± 0.9; N = 29) (Fig.
3A). Distal to the contact
point between the afferent axon and LG, the axon divides into an array
of terminal branches that project into the ganglionic neuropil away
from LG. These branches were not revealed by dye coupling from LG to
the afferents, presumably because the dye is transported peripherally
toward the cell somata. When injected into a single afferent axon,
however, NB passed to other primary afferents through central contacts
(Fig. 3B). Most (92%) of the coupled afferents project into
the ganglion through the same nerve as the injected afferent, but
dye-coupled afferents that project in through other nerves are also
found.

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Figure 2.
LG and neurons dye-coupled to LG in the terminal
ganglion. LG was pressure-injected with two dyes, 10,000 MW
dextran-linked TR and NB. A, Projected stack of confocal
images of LG and dye-coupled afferents. The major yellow
dendrite is the projecting LG; yellow results
from superposition of the TR (red) and NB
(green) fluorescence. The green
axons that project out of the ganglionic nerves are primary
afferent neurons; the green-stained somata are from
dye-coupled motor neurons whose axons are out of the plane of focus.
B, Single afferent axons dye coupled to terminal
dendritic branches. Coupling appears to be mediated by the fine,
vine-like dendritic processes that wrap around the cylindrical afferent
axons (arrowhead). A, B, Results from two
different experiments.
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Figure 3.
Coupling between primary afferents and
between afferents and LG. A, Projected stack of confocal
micrographs of LG, injected with TR alone, and primary afferents, one
of which was injected with NB alone (solid arrow
indicates the injection site). The NB spread into five other primary
afferent axons. The contact point between the injected afferent and LG
appears to occur at the tip of an LG dendrite (open
arrow). Although the axons of the primary afferents appear to
come together at this point in this projected stack, there is
separation in the Z-plane. B, Enlargement of
boxed area in A, showing only the primary
afferents; the solid arrow indicates the
injected afferent, and arrowheads indicate the coupled
afferents, some of which are only weakly filled and partially overlap
other filled afferents. The coupling site with LG (open
arrow) is proximal to the coupling site between primary
afferents (open arrowhead). C,
Orthodromic transmission between a primary afferent
(1oA) (spike evoked by
injection of depolarizing current) and LG. D, Mutual
synaptic interactions between primary afferent axons. Depolarizing
current injection into 1oA (2) evokes a
depolarization and train of spikes that produce a smaller
depolarization and corresponding EPSPs in 1oA
(1).
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Electrical coupling
Stimulation of a single afferent evokes a small, phasic EPSP in LG
as recorded in the initial segment (Fig. 3C); dendritic EPSPs are much larger (Zucker, 1972
; Edwards et al., 1994
,
1998
). These synapses have been shown to be rectifying and
voltage-dependent, but the rectification is partial (Edwards et al.,
1991
; Heitler et al., 1991
). An antidromically activated LG spike
evokes a small antidromic synaptic potential in the primary afferent,
consistent with current flow in both directions (data not shown).
Evidence for direct electrical and synaptic coupling
between afferents in the same nerve that contact LG was obtained when depolarizing current injected into one afferent depolarized the cell
and evoked a train of spikes and a corresponding smaller depolarization
and train of EPSPs in a second afferent (Fig. 3D). A
reciprocal response occurred when the same current was applied to the
other cell (data not shown). LG did not fire in either case.
Afferent recruitment by the lateral excitatory network
Short-latency EPSPs also appeared in an afferent axon in response
to electrical stimulation of the sensory nerve containing the axon
(Fig. 3). This occurred when the stimulus directly excited the axons of
afferents that presumably were coupled to the recorded afferent.
Increased stimulus intensities recruited larger EPSPs in the recorded
afferent and in LG (Fig.
4A). The EPSP increases in afferents were discontinuous with the rise in stimulus voltage, as
though single elements were recruited at discrete stimulus thresholds.
Up to six such distinguishable EPSP levels occurred in each recorded
afferent before the afferent was stimulated directly by shock to the
sensory nerve (Fig. 4A). The number of recorded EPSPs
is dependent on the stimulus threshold of the recorded afferent relative to those of the afferents coupled to it; threshold is influenced in part by inherent properties of the afferents concerned as
well as the relative position of the stimulating electrode. The number
of recorded EPSPs therefore differed from the anatomical results. In
the example of Figure 4B, a smaller stimulus (light gray) evoked EPSPs in both the primary afferent and LG, and a larger
stimulus (dark gray) evoked a larger afferent EPSP that brought the
cell to threshold. The appearance of the recruited afferent action
potential coincided with an incremental increase in the compound EPSP
in LG. A further increase in the nerve stimulus (black) evoked the
afferent spike directly and so shortened the latencies of both the
afferent spike and the added EPSP in LG. Afferents that we could not
demonstrate to contact LG, ~12% (14 of 120), still received EPSPs
from other afferents.

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Figure 4.
Responses of LG (top) and a
1oA (bottom) to electrical
stimulation of the nerve containing the 1oA axon.
A, Increasing stimulus amplitudes elicited several
increasing EPSPs in LG and in the 1oA before
reaching the stimulus threshold (black) of the
1oA. B, Increasing stimulus
amplitudes evoked an EPSP (light gray), a recruited
1oA spike (dark gray), and a directly
evoked spike (black) in the 1oA and
corresponding EPSPs in LG. A, B, Results from two
different experiments.
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LG depolarization and afferent, interneuron recruitment
The response of the afferent to synaptic input from other
afferents could be modulated by changes in the membrane potential of LG
(Fig. 5A). Sensory nerve
stimuli that evoked a subthreshold EPSP in an afferent became
superthreshold when the LG was depolarized by ~15 mV (between 10 and
20 mV) at the initial segment by direct current injection there.
Conversely, larger sensory nerve stimuli that evoked superthreshold
EPSPs in the afferent when LG was at rest potential were made
subthreshold by hyperpolarization of LG (Fig. 5B). The
spread of current from LG into the afferent (causing a potential change
of up to ±1 mV) was apparent in recordings made from sites near the
LG-afferent contact point (data not shown); the very small potential
changes shown in Figure 5 were recorded from a site distant from
LG.

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Figure 5.
Effect of LG depolarization and hyperpolarization
on recruitment of primary afferents. A, Response of a
1oA (top traces and
inset) to a consistent subthreshold sensory nerve
stimulation when LG (middle traces) is at rest
(light gray) and when LG is increasingly depolarized
(darker grays, then black) by injected
current (LG-I, bottom traces). B,
Response of a 1oA (top traces and
inset) to normally suprathreshold sensory nerve
stimulation when LG (middle traces) is at rest
(light gray) and when LG is increasingly hyperpolarized
(darker grays, then black) by injected
current (LG-I, bottom traces).
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Depolarization of LG by a similar amount also helped recruit
first-order mechanosensory interneurons that excite LG, including interneuron A (Int A, also known as 6B1) (Sigvardt et al., 1982
; Wine,
1984
; Nagayama et al., 1997
). Depolarization of LG made subthreshold
inputs to first-order interneurons (N = 17; eight of
which were identified as Int A) become suprathreshold (Fig. 6A). Conversely,
hyperpolarization of LG caused a suprathreshold sensory nerve stimulus
to Int A to become subthreshold (Fig. 6B). Although
Int A had been thought not to excite LG in the terminal ganglion
(Zucker, 1972
), we found that Int A was electrically coupled to LG
there as in more rostral abdominal ganglia (Edwards et al., 1991
).
Current injection into LG had a measurable effect on the membrane
potential of Int A, and directly evoked spikes in Int A produced small,
short-latency EPSPs in the A6 LG. The effects of LG depolarization on
excitation of Int A, and other interneurons as well, can therefore be
mediated through the recruitment of primary afferents that excite them
and more directly through antidromic current flow from LG into these
neurons.

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Figure 6.
Effect of LG depolarization and hyperpolarization
on interneuron A recruitment. A, Response of Int A
(top and inset) to normally subthreshold
sensory nerve stimulation when LG (middle traces) is at
rest (gray) and when LG is depolarized
(black) by injected current (LG-I, bottom
traces). B, Response of Int A (top
traces and inset) to normally suprathreshold
sensory nerve stimulation when LG (middle traces) is at
rest (gray) and when LG is hyperpolarized
(black) by injected current (LG-I, bottom
traces).
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LG depolarization and LG recruitment
Finally, the same depolarization of LG that helped a sensory nerve
shock recruit afferents and first-order interneurons also increased
synaptic inputs to LG and brought the cell to threshold (Fig.
7). The
component of the LG EPSP,
which results from interneuron inputs, increased when LG was
depolarized by injected current (Fig. 7A) and, with
sufficient current, brought LG to threshold. The depolarizing current
increases the excitability of LG (note the delayed rectification in the
LG response to the current), and it recruits additional inputs,
particularly from interneurons, to LG. The evidence of these inputs was
obtained when LG responses evoked by the same stimuli were measured
under two-electrode voltage clamp and the synaptic currents produced by
primary interneurons also increased (Fig. 7B).

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Figure 7.
Modulation of LG synaptic inputs by LG
depolarization. A, EPSPs in LG (top)
evoked by nerve stimulation when LG was at rest or depolarized by
current injection (bottom). B, EPSCs in
the same LG (bottom) evoked by the same nerve
stimulation when LG was voltage clamped to rest potential and to
depolarized levels (top). Right, Baseline
corrected voltage responses (top) and current responses
(bottom). The - and -components of each are
identified. The stippled lines indicate breaks in the
traces; the actual duration of current injection was 50 msec.
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A model of the lateral excitatory network
The operation of the network depends on simultaneous current flows
between primary afferents, LG, and interneurons. To understand these
interactions, we constructed a multicompartment model of the network
that represents the basic pattern of neuronal connectivity and synaptic
properties in the network, but in the interest of simplicity ignores
cellular anatomy and much biophysical detail. The model network
consists of an array of 10 single model compartments that represent
primary afferents, two single compartment model interneurons, and a
two-compartment model LG (Fig. 8). The
primary afferent models are electrically coupled through 6.25 M
resistances in the pattern displayed in Figure 8A.
This pattern enables some afferents to be connected to two others,
others to three, and still others to four other afferents. Each model
interneuron is excited through excitatory chemical synapses by six
afferents; two of the afferents excite both interneurons. LG is excited
by all of the afferents through rectifying electrical synapses that converge on the passive LG dendritic compartment
(LGD), and by the interneurons, which make
identical rectifying electrical synapses on the LG initial segment
compartment (LGIS). LGD is
linked by a 0.5 M
coupling resistance to LGIS.
The electrical properties of the model compartments, chemical and
electrical synapses, and the integration technique used to calculate
compartmental voltages and currents are all described in Material and
Methods. All compartments of the model are assumed to support
Hodgkin-Huxley-like active membrane currents (Hodgkin and Huxley,
1952
) except the LG dendrite compartment, which is passive, reflecting
the passive behavior of the LG dendrites (Edwards et al., 1994
). The
ionic equilibrium potentials were adjusted to produce resting
potentials in the three types of model neurons that reproduced the
differences in the resting membrane potentials recorded from the three
neurons (Heitler et al., 1991
). The electrical properties of the
different compartments were chosen to produce measures of input
resistance and current threshold similar to what was recorded
experimentally. Similarly, parameters that govern chemical and synaptic
conductances were chosen to reproduce the synaptic and coupling
responses recorded from these neurons.

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Figure 8.
Electrical circuit model of the lateral excitatory
network and LG. A, Each model compartment was
characterized by reversal potentials and maximal conductances for
sodium, potassium, and leakage currents. In all the compartments except
LGD, which was passive, the sodium and potassium
conductances were voltage- and time-dependent, as described by Hodgkin
and Huxley (1952) . B, Responses of the network to
patterns of afferent stimulation. The 5 msec time course of each
compartmental response is at left in each panel;
interneuron and LG compartment responses are shown color-coded at the
bottom; afferent responses are black and
are arranged in ascending order according to the diagram in
A. The pattern of stimulation and the network response
are shown in the diagram at right in each panel, where
brighter colored compartments are those that produced a spike.
B1, Responses to simultaneous
stimulation of compartments 1, 2, and 4 with 0.3 msec pulses of 300 nA
depolarizing current. B2, Responses to
stimulation of afferent compartments 1, 2, 4, 8, 9, 10. B3, Stimulation of all afferents
except 3 and 7. B4, Afferents were
stimulated according to the pattern used in
B2 10 msec after onset of 12.5 nA
current injection into LGIS.
B5, Afferents were stimulated
according to the pattern of B2 10 msec
after onset of 12 nA current injection into LGIS.
B6, The effect of the LGD
EPSP on afferent recruitment. Afferents were stimulated according to
the pattern of B2 when the network was intact
(continuous traces) and when all afferent synapses to
LGD except that of afferent 5 were removed (dashed
traces). Top, Voltage responses (in millivolts)
of afferent 5 and LGD. Bottom, Transynaptic
current (in nanoamperes) through the rectifying electrical synapse
between afferent 5 and LGD. Positive current moves from
LGD to afferent 5.
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To simulate the afferent responses to sensory nerve shock, depolarizing
current pulses (300 nA, 0.3 msec) were applied simultaneously to
individual afferent compartments. Simultaneous stimulation of three
model afferents at one end of the array led to the recruitment of an
adjacent afferent and an interneuron that was excited by all four
afferents (Fig. 8B1). LG responded
with small EPSPs in both the dendritic and initial segment
compartments. Responses to increased stimulus strength were simulated
by adding three more afferents at the other end of the array to those
receiving simultaneous stimulation. Stimulation of these six afferents
caused two more afferents to be recruited, followed by both
interneurons (Fig. 8B2). The
responses of LG were again below threshold. When two more afferents
were added to the group of six receiving simultaneous stimulation, the
remaining two afferents were recruited at short latency, followed by
the interneurons and then LG (Fig.
8B3). LG could also be brought to
threshold if the previous pattern of stimulation of six afferents (Fig.
8B2) occurred during a period of
depolarization induced by injection of a constant 12.5 nA of current
into the initial segment compartment (Fig.
8B4). The depolarizing current
caused the last afferent to be recruited and it caused each of the
recruited afferents and interneurons to fire earlier. The earlier and
greater synaptic inputs and the increase in the excitability produced
by the direct depolarization of LG were sufficient to bring LG to
threshold. Finally, the recruitment of afferents and interneurons was
reduced when the afferent stimulation occurred while the LG was
hyperpolarized by injection of
12 nA (Fig.
8B5). The stimulus pattern, which
had recruited three additional afferents and both interneurons (Fig.
8B2), only recruited one afferent
and one interneuron when the stimulus was presented during the
hyperpolarization of LG.
As in the experimental preparations, recruitment of unstimulated
afferents depends on the coupling between them and the stimulated afferents and on antidromic current from the LG dendrites into the
unstimulated afferents. The importance of the antidromic current in
this simulation is shown in Figure
8B6, in which the stimulus pattern
of Figure 8B2 was repeated, first
under the original conditions (continuous lines), and second
when the rectifying electrical synapses between all but one of the
afferents and the LGD compartment were removed
(dashed lines). In the first case, the converging inputs
from the stimulated afferents evoked a fast-rising EPSP (pink continuous trace) in LGD
that exceeded the smaller EPSP in the unstimulated afferent
(black continuous trace). As a result, the
current through the rectifying electrical synapse that connects the
unstimulated afferent and LGD compartments was
initially positive, in the antidromic direction from
LGD to the afferent (red continuous line). This current contributed to the afferent EPSP and helped bring the afferent to threshold. The resulting afferent spike then
produced a much larger orthodromic (i.e., negative in Fig. 8B6) synaptic current that
contributed to the EPSP of the LG. In the second simulation, the EPSP
in LGD (pink dashed line in the
top panel) was made much smaller by removing the
synapses to LG from all but the recorded afferent. As a result, the
larger afferent EPSP drove current in the orthodromic direction
(red dashed line, bottom panel), and so transferred
charge from the afferent to LGD. As a result, the
afferent EPSP (dashed black trace in the top
panel) reached threshold later than when the full LG EPSP occurred.
Recruitment of afferents is also facilitated by the rise in resistance
presented by the rectifying electrical synapses when the LG response
exceeds the afferent response. In the present model, the resistance of
the synapses at rest was 5.4 M
; when the difference between the
afferent and LG potential was greatest in the reverse direction (9.5 mV), the synaptic resistance would be nearly three times greater, if it
were allowed to change instantaneously with the transynaptic potential.
However, we have chosen to let the kinetics of the model rectifying
electrical synapse be governed by a time constant of 0.75 msec, the value obtained from kinetic measurements of the rectifying
electrical giant motor synapse (Jaslove and Brink, 1986
). As a result,
the synaptic resistance increase was less, to ~7 M
. Nonetheless,
this added synaptic resistance should increase the input
resistance of the afferent and enable the coupling currents that it
receives from neighboring afferents to have greater depolarizing
effect. Simulations in which the synaptic resistance was allowed to
change instantaneously with the voltage difference across the synapse,
and so to achieve much higher values, caused less antidromic current
and more orthodromic synaptic current to flow (data not shown). This
altered pattern of synaptic currents caused the initial LG EPSP to be
larger but the recruitment of unstimulated afferents to be reduced.
 |
DISCUSSION |
The lateral excitatory network
Earlier work demonstrated that the LG neuron is both directly
excited by an array of primary mechanosensory afferents and indirectly
excited by those same afferents through a set of mechanosensory interneurons that contact LG (for review, see Edwards et al., 1999
). We
have modified this description by showing that excitation of LG in the
terminal abdominal ganglion is enhanced by a set of lateral excitatory
networks among the primary afferents. Each lateral excitatory network
is formed primarily among groups of afferent axons that innervate a
common portion of the tailfan; these afferents project centrally
through one of the sixth ganglionic nerves to contact first-order
mechanosensory interneurons and LG (Newland et al., 2001
). In addition,
we found that depolarization of LG enhances recruitment of unstimulated
afferents and interneurons, suggesting that the synaptic response of LG
works to enhance the inputs of the cell itself. In nature, these
network interactions and the interactions between LG and its
presynaptic afferents and interneurons should help determine whether LG
will respond and the crayfish will escape to a phasic mechanosensory stimulus.
The coupling between afferents is mediated by what appear to be
nonrectifying electrical synapses. Because the coupling is primarily
confined to afferents within single nerves, it acts to amplify stimuli
that affect discrete areas of the tailfan innervated by those
afferents. Recruitment of unstimulated afferents requires stimulation
of a critical density of afferents to provide sufficient convergent,
synchronous inputs to coupled unstimulated afferents. These criteria
being met would lead in turn to excitation of other afferents and
first-order mechanosensory interneurons. Such a chain reaction
mechanism could amplify responses to stimuli above a critical intensity
by recruiting a large fraction of the coupled afferents and first-order interneurons.
Similar electrical coupling occurs among retinal cones (Hsu
et al., 2000
) and among proprioceptive afferents in the walking legs
of crayfish (El Manira et al., 1993
). However, because the responses of cones to light is a graded hyperpolarization, spread of
this potential to neighboring cones would not contribute to a chain
reaction among primary afferents of the type described here. In
contrast, the coupling among crayfish proprioceptive afferents may
serve as a mechanism to amplify proprioceptive input.
Additionally, synaptic coupling among neighboring afferents of the
excitatory neurons of single cortical barrels in the mouse, each of
which receives projections from a single whisker, forms an excitatory
network that is primarily confined to the barrel (Petersen and Sakmann,
2000
). The function of this network is unknown, but may be to amplify
inputs to the barrel.
Feedback modulation by LG
The ability of the membrane potential of LG to modulate the
excitability of the afferents and primary interneurons creates a
positive feedback that amplifies the lateral excitation. Although we have demonstrated this effect by depolarizing LG with injected current, the natural source of depolarization is the EPSP produced in
the LG dendrite by the same set of stimulated afferents. In this
mechanism, the LG EPSPs would amplify themselves by helping to recruit
additional afferents that excite LG.
Two mechanisms may allow LG depolarization to increase the excitability
of presynaptic primary afferents. The first is the flow of antidromic
current that depolarizes the afferent axon. Unlike the tonic
depolarization of LG imposed by injected current, dendritic LG EPSPs
are both large and brief, and the expected antidromic currents should
have the same character. Such phasic antidromic currents should have a
greater effect on the excitability of the afferent axon than did the
tonic currents produced by imposed depolarization of LG (Fig. 5). The
simulations of Figure 8B6 show that
the antidromic synaptic current can advance the recruitment of
afferents; larger dendritic EPSPs would presumably have greater effects. The EPSPs in the LGD compartment were 25 mV in amplitude; larger EPSPs have been recorded in LG dendrites
(Zucker, 1972
), and so should have correspondingly
greater effects in recruiting unstimulated afferents. A mechanism like
this appears to operate in the Mauthner neuron (the M-cell) of teleost
fish, where EPSPs induce an antidromic junctional current that excites
the axon terminals of primary afferents that are electrically coupled
to the M-cell dendrite. The afferent spike then drives additional orthodromic synaptic current into the M-cell dendrite to enhance the
EPSP (Pereda et al., 1995
). Afferents recruited by an LG EPSP would be
expected to do the same.
The second mechanism results from the rectifying nature of the synapses
that link the afferents to LG (Edwards et al., 1991
, 1998
). This
rectification causes the transynaptic conductance to be reduced when
the LG is depolarized relative to the afferent and to be increased when
the reverse is true. The LG EPSPs should reduce the conductance of
synapses from unstimulated afferents onto LG, increasing the local
input resistance of the afferent axon in the region where coupling
currents are integrated. As a result, inputs from other coupled
afferents will be more effective in exciting the axon.
The balance of these effects depends on the nature of the rectifying
electrical synapses between the afferents and LG. Formal analysis of
these synapses is made difficult by the remoteness of recording and
current injection sites from the synapses in both presynaptic and
postsynaptic cells. Our results suggest, however, that significant
differences exist between these synapses and the giant motor synapse
(GMS) that LG makes with the giant motor neuron. Unlike the
GMS, where the resting transynaptic conductance is low, here between
the afferents and LG it appears to be high. Hyperpolarizing current is
readily passed antidromically, and depolarizing current can also pass,
although not as easily (J. Herberholz and D. Edwards, unpublished
observations). Although our model rectifying electrical synapses are
based on descriptions of the GMS (Jaslove and Brink, 1986
; Giaume et
al., 1987
), we have modified the voltage threshold to reflect this difference.
From these results and examples, it is apparent that a lateral
excitatory network creates a chain reaction that helps amplify inputs
and discriminate signal from noise. We have shown that the density of
primary afferents that are excited within one sensory nerve is critical
for further activation of the network by the membrane potential of LG
and for the subsequent amplification of sensory inputs onto LG. The
network is tuned to amplify only strong inputs that activate a high
number of afferents and to discriminate against weak inputs. In this
way, the network, with the integral participation of LG, would act as a
coincidence detector for activity within a local population of neurons.
The selective responsiveness to phasic stimulation of LG is conditional
on its short time constant. Activation of the network provides
amplification and synchronization of such sensory inputs that occur
within a brief period of time.
The largest effect of both the lateral excitatory network and its
modulation by LG EPSPs may be on the recruitment of mechanosensory interneurons that drive the decisive
component of the LG EPSP. We
have shown here how the same LG depolarization that helps recruit unstimulated afferents also helps recruit Int A and other unidentified primary mechanosensory interneurons and increase the
component of
the LG synaptic current. The effect of the depolarization of LG
on the recruitment of primary interneurons is twofold: first, additional primary afferents are recruited and create increased inputs
onto LG and primary interneurons. Second, the excitability of primary
interneurons is enhanced by antidromic current flow from LG back into
these cells. The significance of each of these mechanisms for LG
excitation depends on the pattern of sensory nerve stimulation
(Herberholz and Edwards, unpublished observations).
The escape command
Previous work suggested that the decision mechanism lay
exclusively in the LG, where converging inputs created dendritic
currents that converged on the spike initiation zone (Olson and Krasne, 1981
). Our results indicate that part of the decision mechanism lies in
the interaction between LG and the lateral excitatory network. The
afferent recruitment mediated by the lateral excitatory network is a
form of nonlinear amplification that helps the escape circuit identify
the patterns and levels of input that should trigger an escape
response. This nonlinear amplification should reduce the stimulus
threshold for escape, and it should make the threshold more discrete.
Finally, the network provides many targets for modulation. Serotonin,
for example, has been shown to alter the stimulus threshold of LG in
ways that depend on the pattern of serotonin exposure (Teshiba et al.,
2001
); some of these effects may result from changes in the
excitability of the lateral excitatory network.
 |
FOOTNOTES |
Received May 17, 2002; revised July 24, 2002; accepted Aug. 15, 2002.
This work was supported by National Institutes of Health Grant NS26457.
Correspondence should be addressed to Jens Herberholz, Department of
Biology, Georgia State University, 24 Peachtree Center Avenue
Northeast, Atlanta, GA 30302-4010. E-mail: biojhh{at}panther.gsu.edu.
 |
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