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The Journal of Neuroscience, May 1, 1999, 19(9):3620-3628
Dynamic Restructuring of a Rhythmic Motor Program by a Single
Mechanoreceptor Neuron in Lobster
Denis
Combes,
Pierre
Meyrand, and
John
Simmers
Laboratoire de Neurobiologie des Réseaux, Université
Bordeaux I and Centre National de la Recherche Scientifique,
Unité Mixte de Recherche 5816, 33405 Talence,
France
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ABSTRACT |
We have explored the synaptic and cellular mechanisms by which a
single primary mechanosensory neuron, the anterior gastric receptor
(AGR), reconfigures motor output of the gastric mill central pattern
generator (CPG) in the stomatogastric nervous system (STNS) of the
lobster Homarus gammarus. AGR is activated in
vivo by contraction of the medial tooth protractor muscle gm1 and accesses the gastric CPG via excitation of two in-parallel interneurons, the excitatory commissural gastric (CG) and the inhibitory gastric inhibitor (GI). In the spontaneously active STNS
in vitro, weak firing of AGR in time with gastric mill
motoneurons (GM) reinforces an ongoing type I gastric mill
rhythm in which all gastric teeth power-stroke motoneurons are
synchronously active. With strong AGR firing, these phase relationships
switch abruptly to a type II pattern in which lateral and medial teeth
power-stroke motoneurons fire in antiphase. Our results suggest that
these bimodal actions on the gastric mill rhythm depend on the balance of firing of the CG and GI interneurons and that selection of the
pathway resides in their different postsynaptic sensitivities to AGR.
Whereas high intrinsic firing rates of the CG neuron ensure that the
excitatory pathway predominates during low levels of sensory input,
strong synaptic facilitation in the GI neuron favors the inhibitory
pathway during high levels of receptor activity. Feedback from a single
mechanosensory neuron is thus able, in an activity-dependent manner, to
specify different motor programs from a single central
pattern-generating network.
Key words:
Crustacea; Homarus gammarus; stomatogastric
system; gastric mill motor network; mechanosensory neuron; sensorimotor
integration; network reconfiguration; synaptic facilitation
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INTRODUCTION |
From a variety of studies on both
vertebrates and invertebrates, it is now clear that movement-related
feedback from proprioceptors plays a crucial role in adapting the
intensity and timing of rhythmic motor programs to changing behavioral
demands. For example, phasic sensory signals can entrain and reinforce
locomotor rhythms in lamprey (Grillner et al., 1981 ), crayfish (Sillar
et al., 1986 ), cat (Andersson and Grillner, 1983 ), and locust (Reye and
Pearson, 1988 ), thereby enabling central motor commands to match
perceived movements. Furthermore, proprioceptive signals may play an
important role in reinforcing an ongoing phase or initiating the
transition between antagonistic phases of a movement cycle by positive
and/or negative feedback reflexes (Pearson and Duysens, 1976 ;
Bässler, 1986 ; Rossignol et al., 1988 ). For example, positive
feedback from intraoral receptors allows us to bite with increasing
strength on soft foods, but, with excessive closing forces, this input switches to negative feedback that inhibits jaw closing motoneurons (Sherrington, 1917 ).
In addition to transient adaptive adjustment of an ongoing motor
rhythm, proprioceptive input can be involved in switching or selecting
different patterns of motor output for different behavioral tasks. For
example, in the mollusc Tritonia, light touch activates a
central circuit, resulting in a withdrawal response, whereas stronger
sensory stimuli induce the same circuit to produce escape swimming
(Getting and Dekin, 1985 ). In Xenopus embryos, the same
central motor circuitry can produce swimming or struggling behavior
(Soffe, 1993 ), depending on the level of input from a single population
of cutaneous receptors (Soffe, 1997 ). In both cases, however, the
precise cellular pathways and mechanisms by which such sensory-induced
switching occurs remain to be determined.
A suitable preparation for addressing this problem is the gastric mill
rhythm-generating network in the stomatogastric nervous system (STNS)
of the lobster Homarus gammarus. As a result of intensive
study over the last two decades, the crustacean gastric mill motor
network, including that of Homarus (Combes et al., 1999 ), is
now well understood in terms of underlying cellular and synaptic
mechanisms (Harris-Warrick et al., 1992 ). Moreover, a mechanoreceptor
that provides movement-related feedback to the gastric mill central
pattern generator (CPG) in Homarus has been identified
(Simmers and Moulins, 1988a ,b ; Combes et al., 1995a ). This sensor, the
anterior gastric receptor (AGR), is particularly attractive for the
cellular study of proprioceptive interactions with a cyclic motor
program because it consists of a single large neuron whose signaling
properties are known in detail. Moreover, as shown here, AGR accesses
the lobster gastric mill network via two interneuronal pathways that
have been identified previously (Combes et al., 1999 ).
Exploring mechanisms of sensorimotor integration is typically bedeviled
by a conflict between the needs of experimental accessibility for
electrophysiological recording, persistence of motor network activity,
and conservation of proprioceptive feedback pathways (Rossignol et al.,
1988 ). In our in vitro study, we were able to satisfy all
three conditions by using rhythmically active, deafferented
("open-loop") STNS preparations in which the AGR-gastric mill
network loop was artificially closed with appropriately timed experimental activation of the receptor neuron. We show that AGR input,
by acting through dual interneuronal pathways, has effects beyond
simply reinforcing and adjusting ongoing gastric mill rhythmicity or
assisting in the transition between cycle phases. Rather, according to
the discharge of the receptor, AGR can evoke fundamental and persistent
restructuring of the gastric mill rhythm to produce different activity
patterns, similar to those spontaneously expressed in the intact animal.
A preliminary account of this work has been published previously
(Combes et al., 1995b ).
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MATERIALS AND METHODS |
All experiments were performed on in vitro
preparations of the STNS of the lobster Homarus gammarus
using dissection, electrophysiological, and data storage procedures as
fully described in our accompanying paper (Combes et al., 1999 ).
Once isolated, the STNS was bathed in aerated saline maintained at
15-18°C and composed of (in mM) NaCl 479.12, KCl 12.74, CaCl2-2H2O 13.67, MgSO4 10, Na2SO4 3.91, and HEPES 5, buffered to pH 7.45. Under these conditions, the STNS generates robust spontaneous gastric
mill rhythmicity, thereby allowing the study of AGR sensory input to an
already active CPG.
Extracellular recordings were made with Vaseline-isolated platinum wire
electrodes placed against appropriate motor nerve branches.
Intracellular recording-stimulation was made with glass microelectrodes (tip resistance of 10-30 M ) filled with 3 M KCl. The commissural gastric (CG) and gastric inhibitor
(GI) projection neurons were identified by their axonal projections in
the superior oesophageal and stomatogastric nerves, according to their
different postsynaptic effects on gastric mill motoneurons and on the
basis of their synaptic responsiveness to AGR. AGR itself was
stimulated by either intrasomatic depolarizing current injection or
brief electrical shocks delivered via a platinum wire electrode placed on either of the two peripheral dendrites of the receptor.
In some experiments, the GI interneuron was selectively photoablated by
intrasomatically injecting Lucifer yellow (3% in distilled water;
Sigma, Quentin Fallavier, France) and then illuminating the
commissural ganglion (CoG) for 30 min with intense blue light (450-490
nm). The gradual membrane depolarization of the GI neuron to zero
indicated a successful photoinactivation (Miller and Selverston, 1979 ).
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RESULTS |
The gastric mill CPG network in the lobster stomatogastric
ganglion (STG) consists of four motoneuron subsets, two of which control protraction [10 gastric motoneurons (GMs)] and
retraction [one dorsal gastric (DG) motoneuron] of the gastric medial
tooth, whereas the other two subsets drive opening [two lateral
posterior gastric (LPG) motoneurons] and closing [the single lateral
gastric (LG) and medial gastric (MG) motoneurons] of the lateral teeth (Combes et al., 1999 ) (Fig. 1,
schema). As we described in our accompanying article
(Combes et al., 1999 ), the gastric mill CPG receives two bilateral
pairs of descending interneurons that originate in each CoG: the CG
interneuron that monosynaptically excites the LPG and GM motoneurons
and the GI interneuron that monosynaptically inhibits the LG-MG and DG
motoneurons. It was shown previously that the AGR mechanoreceptor
neuron arises from the tendon of the medial tooth protractor muscle and
directly excites the two CG interneurons (Simmers and Moulins, 1988a ,b )
(Fig. 1A,B). We find here that AGR
also excites the GI interneurons (Fig. 1A); this
excitation is also probably direct, as indicated by the unitary fixed-latency EPSPs elicited by AGR impulses (Fig.
1B). Thus, with the STNS in vitro, an
open-loop preparation is available in which a single primary
mechanosensory neuron has access disynaptically to a motor
pattern-generating network via two antagonistic interneuronal pathways
(Fig. 1, schema).

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Figure 1.
Cellular pathway through which lobster primary
sensory neuron AGR influences the gastric mill CPG network
(schema). The receptor, which arises from the tendon of
the medial tooth protractor muscle gm1, projects to the STG via two
descending CoG interneurons: the CG neuron, which excites the lateral
teeth opener (O) LPG and the medial tooth
protractor (P) GM motoneurons, and the GI neuron,
which inhibits the lateral teeth closer (C)
LG-MG and medial tooth retractor (R) DG
motoneurons. Numbers of motoneurons of each subtype are indicated in
the circles. Note that the single gastric mill network
interneuron is not shown. A, Spontaneous and evoked AGR
firing excites CG and GI interneurons. B, Each
presynaptic AGR spike is correlated 1:1 and at constant latency with an
EPSP in both CG and GI.
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To examine the role of sensory integration through these two projection
pathways, we replaced the in vivo receptor activation by
muscle contraction with direct intrasomatic stimulation of AGR in
rhythmically active in vitro preparations. To reproduce such
"closed-loop" conditions, AGR was stimulated in time with ongoing
bursts in GM motoneurons, because it has been shown previously (Combes
et al., 1995a ) that AGR is activated by contraction of the muscle that
these neurons innervate.
Figure 2 illustrates such an experiment
in which simultaneous extracellular recordings from three motoneuron
types (MG, LPG, and GM) of an already active gastric mill network
before (A) and during (B, C)
rhythmic GM-timed spike trains evoked in AGR. As was invariably seen
in vitro during spontaneous gastric cycling (Combes et al.,
1999 ) (Fig. 2A), the MG motoneuron bursts in
antiphase with the LPG motoneurons but in phase with GM motoneurons.
This coordination, which we refer to as the type I gastric mill
pattern, corresponds to motor activity in vivo in which
protraction of the medial tooth and closure of the lateral teeth would
occur simultaneously. [Note that the depolarizing transients in the intrasomatic AGR recording in Fig. 2A are
spontaneously generated dendritic potentials that fail to trigger
axonal action potentials (Combes et al., 1993 ).]

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Figure 2.
Multiple effects of AGR on the gastric mill CPG.
Simultaneous extracellular recordings from three gastric mill
motoneurons (MG, LPG, and GM) and intrasomatic recording of AGR.
A, Spontaneous in vitro gastric mill
rhythm in the absence of AGR input. (The small depolarizing events in
AGR are dendritic action potentials that do not generate axonal
spikes.) In this pattern, the GM motoneurons fire in phase with the MG
and out of phase with the LPG motoneurons. B, Cyclic
depolarization of AGR by intracellular current injection
(i) causes it to fire axonal spikes weakly in
time with GM bursts and increases GM neuron firing, with little other
effect on gastric mill activity. C, Stronger AGR
activation causes a switch in the phase relationships of the gastric
mill pattern. Now, the GM motoneurons fire in phase with the LPG
motoneurons. Dotted boxes indicate the pattern expressed
in B. Calibration: vertical bars, 10 mV,
2 nA; horizontal bar, 5 sec.
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When AGR is cyclically depolarized to generate axonal spikes at a mean
frequency of <20 Hz in time with spontaneous GM motor bursts (Fig.
2B), the phase relationships between the different gastric mill motoneuron subsets remain unchanged, and relatively little
change is seen in gastric mill activity, although GM neuron firing is
enhanced. In contrast, rhythmic AGR stimulation that produces higher
firing frequencies (in this experiment, >20 Hz) (Fig. 2C)
causes a dramatic reorganization of the gastric mill pattern. In this
new pattern, medial tooth GM motoneurons now fire in phase with lateral
teeth LPG motoneurons rather than MG motoneurons (Fig. 2C,
dotted boxes indicate type I pattern expressed in
B). These phase relationships comprise a type II gastric
mill pattern in which medial tooth protractor motor bursting is now in
time with lateral teeth opener bursts.
As is seen in Figure 3, the switch
between the two patterns occurs immediately after the onset of elevated
AGR stimulation. In this experiment, a tonically autoactive AGR was
recorded, along with the LPG, GM, and LG motoneurons. Note that the LG
and MG motoneurons are strongly electrically coupled and therefore
behave as a single functional entity (Selverston and Moulins, 1987 ;
Combes et al., 1999 ). During spontaneous tonic AGR firing (Fig. 3,
left), the typical type I gastric mill pattern
(ellipse, alternate bursting in the LPG and GM neurons) is
expressed. When AGR is rhythmically depolarized to step its mean firing
rate from ~5 to 15-20 Hz, the gastric mill pattern almost
instantaneously switches to the type II pattern in which the LPG and GM
neurons are now coordinately active in antiphase with the LG
motoneuron.

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Figure 3.
The transition between types I and II gastric mill
patterns occurs immediately at the onset of AGR bursting (compare
ellipses). The gastric mill CPG was monitored by
extracellular recordings from the GM, LPG, and LG motoneurons. Note
that the axon of the latter is in a nerve carrying the ventricular
dilator (VD) motoneuron axon of the pyloric network.
Note also that AGR was spontaneously active in the absence of injected
current. Calibration: vertical bar, 10 mV;
horizontal bar, 4 sec.
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The first conclusion from these series of experiments
(n = 9) therefore is that, when AGR is activated in
time with GM motoneuron bursts, depending on its firing frequency the
receptor either reinforces the ongoing type I gastric mill pattern or
rapidly reconfigures the output of the network into a type II gastric mill pattern.
Role of descending sensory interneurons
AGR has access to the gastric mill network via direct excitation
of two in-parallel interneurons, the excitatory CG and inhibitory GI
(Combes et al., 1999 ). Moreover, these two interneurons appear to be
the only pathway by which the receptor reaches the gastric mill CPG.
Simmers and Moulins (1988a) have already shown that AGR has no direct
access to gastric mill neurons in the STG. In addition, the experiment
shown in Figure 4 strongly suggests that the receptor is unable to influence the gastric mill network without the CG and GI neurons. Under control conditions in this experiment (Fig. 4A), extracellular AGR stimulation (shocks at
30 Hz for 3 sec) caused GM neuron excitation and MG neuron inhibition,
as already seen in Figures 2 and 3. In Figure 4B, one
CoG had been removed by dissection, and the CG neuron in the remaining
CoG hyperpolarized. Moreover, the GI neuron in this CoG had been
photoinactivated by Lucifer yellow injection and blue light
illumination (see Materials and Methods). As a result of these
treatments, spontaneous gastric mill rhythmicity had ceased. Under
these conditions, AGR stimulation at even higher frequencies than those
used in Figure 4A had no effect on the two recorded
gastric mill motoneurons.

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Figure 4.
AGR projects to the gastric mill CPG only via the
two descending CG and GI interneurons in each CoG. A, In
control conditions, stimulation of AGR (30 Hz for 3 sec,
horizontal bar) excites the GM motoneuron and inhibits
the MG neuron. B, When the right CoG was removed and the
two sensory interneurons in the left CoG were silenced (by
hyperpolarizing CG and photoablating GI), AGR stimulation no longer
affected the gastric mill motoneurons.
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Given that AGR appears to access the gastric mill network uniquely via
the CG and GI neurons, it should be possible to mimic the effects of
AGR input by direct manipulation of these two interneurons. One of
three such experiments is illustrated in Figure
5 in which the CG and GI neurons were
recorded intracellularly, along with extracellular recordings from
motoneurons of the three major gastric mill subgroups. Figure
5A shows spontaneous gastric mill cycling in the absence of
phasic interneuronal discharge. However, periodic stimulation of the
interneurons, either CG individually (Fig. 5B) or CG and GI
simultaneously (Fig. 5C) by current injection in time with
GM neuron firing, had effects on the rhythm identical to those produced
by direct AGR stimulation (Fig. 2). Thus, activation of the CG neuron
alone clearly enhanced (Fig. 5B) the ongoing type I pattern,
whereas conjoint activation of the CG and GI neurons induced type II
gastric mill activity (Fig. 5C) in which LPG and GM neurons
fire conjointly. In this experiment, the evoked discharge of both the
CG and GI neurons was similar (~50 Hz), but we have found that phasic
firing of the GI neuron as low as 20 Hz (in conjunction with
simultaneous CG neuron activity) can induce the type II pattern.

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Figure 5.
Direct effects of the CG and GI interneurons on
the gastric mill network. A, Spontaneous gastric mill
rhythm monitored by extracellular recordings of the MG, LPG, and GM
motoneurons. The CG and GI interneurons were spontaneously silent (the
depolarizing events in the CG neuron are EPSPs; see expanded time base
recording in inset). B, Cyclic
experimental activation of the CG neuron in GM neuron time reinforces
the ongoing gastric mill pattern (the smaller depolarizing events in
the CG neuron are action potentials; see inset).
C, Simultaneous cyclic depolarizations of both
interneurons reconfigure the gastric mill pattern. Dotted
boxes represent the pattern expressed in B.
Calibration: vertical bars, 20 mV; horizontal
bar, 4 sec.
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Thus, like AGR stimulation at weak to moderate firing rates (Fig.
2B), activation of the CG neuron alone (Fig.
5C) is able to promote the ongoing type I gastric mill
rhythm. Similarly, coactivation of the CG and GI interneurons (Fig.
5B) produces a type II gastric mill pattern that resembles
the pattern AGR induces when firing strongly (Fig. 2C). Can
AGR itself under some conditions preferentially activate the CG neuron
and thereby reinforce the gastric mill rhythm, and under others
simultaneously drive the CG and GI neurons to reconfigure the gastric
mill pattern? This possibility is explored in the following experiments.
Differential synaptic effects of AGR on the CG and GI neurons
In a first step to assess the ability of the receptor to
differentially activate the two projection pathways, we measured the
synaptic responsiveness of the CG and GI interneurons to input from AGR
in three experiments. In the experiment shown in Figure 6A, the GI and CG
neurons were recorded simultaneously with an AGR whose firing frequency
was manipulated by intrasomatic current injection (Fig.
6A1). The mean ± SEM evoked
discharge frequencies of postsynaptic CG and GI were then expressed as
a function of the firing rate of AGR (Fig.
6A2). At lower receptor discharge rates (<20
Hz), the response of the CG interneuron was considerably higher
(approximately three times) than that of the GI interneuron. For
example, when AGR fired at 10 Hz, the CG neuron fired at an average of
12 Hz, whereas the GI neuron fired at a mean rate of only 2.5 Hz.
However, as AGR spike frequency increased, the discharge rate of the GI
interneuron increased exponentially until its response curve approached
and eventually crossed that of the CG interneuron. Thus, when AGR is
firing at low frequencies, the CG interneuron is more active, but at
high receptor firing rates, the discharge of the GI neuron increases relative to that of the CG interneuron so that eventually both interneurons become equally active. The different responsiveness of the
two interneurons to AGR input is confirmed in Figure
6B in which data from the three experiments analyzed
were pooled and the mean ± SEM interneuronal discharge rates (in
each case expressed as a percentage of the firing rate when AGR itself
was firing at 15 Hz) are plotted as a function of imposed AGR discharge at 15, 20, 25, and 30 Hz. In a strikingly similar manner in all three
experiments, whereas CG neuron firing rose steadily by ~75% in
response to a doubling of spike frequency of AGR from 15 to 30 Hz, GI
neuron firing increased dramatically by >500%.

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Figure 6.
Differential sensitivities of the CG and GI
interneurons to synaptic excitation by AGR. A, Single
experiment. A1, Simultaneous intracellularly
recorded responses of the two interneurons to an evoked increase (by
pulsed current injection) in AGR firing rate from a spontaneous mean of
5-10 (left) and 21 (right) Hz.
Calibration: vertical bars, 10 mV; horizontal
bar, 2 sec. A2, Plots of CG and GI
neuron responses to a range of AGR firing frequencies from 8 to 30 Hz.
Each point is the mean ± SEM firing rate during at least three
AGR stimulations. B, Pooled data from three experiments.
Each point is the mean ± SEM firing rate (relative to control
rate when AGR fires at 15 Hz) of the three corresponding interneurons
in response to stepwise changes in AGR discharge as seen in
A1.
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What mechanism could underlie these different sensitivities of the two
interneurons to AGR input? To address this, we compared the mean ± SEM steady-state amplitude of EPSPs evoked in the two interneurons at various AGR firing frequencies. (Note that EPSPs in
both interneurons attained steady-state levels within <1 sec of all
depolarizing current-induced changes in AGR firing rate.) As seen in
the single experiment of Figure
7A and the pooled data from
the three experiments in Figure 7B, whereas EPSPs recorded in the GI neuron increase smoothly with stepwise increases in receptor
firing rate, PSPs in the CG neuron decrease in amplitude. In the
example of Figure 7A, GI neuron EPSPs increased from 10 to
30 mV, and CG neuron EPSPs decreased from 10 to 4 mV, as firing frequency of AGR increased from 8 to 30 Hz. In other words, the synaptic response of GI to AGR is strongly facilitating, whereas that
of CG appears to defacilitate. However, note that the individual CG and
GI neuron EPSPs are superimposed on a depolarizing envelope because of
temporal summation that was itself proportional to receptor firing rate
(Fig. 6A1). Thus, the apparent decrease in CG
EPSP amplitude could be caused by the decrease in driving force
resulting from this underlying depolarization rather than true
defacilitation.

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Figure 7.
The GI, but not the CG, interneuron displays
strong synaptic facilitation to AGR input. A, Single
experiment (same as in Fig. 6A1).
A1, Superimposed traces (n = 4) show AGR-evoked EPSPs (measured at steady-state levels) in
the two interneurons at three different mean frequencies of receptor
stimulation. Note strong increase in GI neuron EPSP amplitude, whereas
CG neuron EPSPs decrease. Calibration: vertical bars, 10 mV; horizontal bar, 5 msec. A2,
Relationship between EPSP amplitude in the two interneurons over a
range (8-30 Hz) of AGR firing frequencies. Each point is the mean ± SEM amplitude of at least 10 synaptic events. B,
Pooled data from the same three experiments as in Figure
6B. Each point is the mean ± SEM
steady-state amplitude (relative to control amplitude when AGR fires at
15 Hz) of each interneuron in response to stepwise changes in receptor
firing rate.
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In conclusion, although a high spontaneous firing rate of the CG neuron
results in its activity predominating during low to moderate levels of
receptor input, strong synaptic facilitation in the GI neuron ensures
that at higher levels of AGR activity it becomes relatively more
effective and, in combination with the CG neuron, reconfigures gastric
mill output into pattern II.
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DISCUSSION |
We have explored a sensorimotor system that consists of a limited
number of neuronal elements, all of which have been identified electrophysiologically and their synaptic relationships established. This system (Combes et al., 1999 ) is comprised of a single primary mechanoreceptor neuron (AGR) that projects to the 16 neuron gastric mill CPG network via two intercalated interneurons, one excitatory (CG)
and the other inhibitory (GI). We have taken advantage of a further
important feature of this preparation, namely the ability of the
gastric mill CPG to remain spontaneously active in vitro in
the absence of all sensory feedback. This enabled us to examine the
specific effects of AGR on an already active gastric mill circuit in a
manner that is generally impossible in other preparations. In many
other preparations, the influence of sensory feedback on ongoing CPG
activity has been necessarily restricted to semi-intact or intact
preparations in which the central intervening pathways, themselves
complex in terms of both number of elements and distribution, remain
inaccessible for electrophysiological investigation (Barnes and
Gladden, 1985 ; Rossignol et al., 1988 ). Alternatively, the study of
reflexes in reduced in vitro preparations has almost invariably been performed in the absence of activity in the target motor circuitry (Burrows, 1992 ) and therefore under open-loop conditions that bear little functional relationship to normal rhythmic
behavior in vivo. To date, the only other examples in which
proprioceptive feedback to an active motor pattern generator has been
successfully studied at the cellular level is the influence of stretch
receptor input to the flight system of locust (Wolf and Pearson, 1987 ,
1988 ) and the walking limb of crayfish (Sillar and Skorupski, 1986 ;
Sillar et al., 1986 ; Skorupski and Sillar, 1986 ).
Parallel sensorimotor processing can reinforce or reorganize the
gastric mill pattern
Of fundamental importance to the present study was the earlier
finding that active contraction of gastric mill power-stroke muscle gm1
is the effective stimulus for AGR in vivo (Combes et al.,
1995a ). Therefore, we were able to reproduce appropriately timed input
from AGR in our in vitro experimental conditions by electrical stimulation of the receptor in time with rhythmic GM neuron
bursts. Our main finding is that feedback from this single sensory
neuron can have two distinctly different effects on spontaneous gastric
mill network rhythmicity, inducing distinct motor patterns that occur
in the intact animal (Combes et al., 1999 ). We have also shown that
these effects are mediated by the CG and GI interneurons and that
selective direct activation of one (CG alone) or both (CG and GI)
interneurons closely mimics the reinforcing and reconfiguring effects
of the AGR neuron itself. These results are summarized in Figure
8, which shows the functional
sensorimotor circuits and resultant gastric mill output patterns in
response to low and high frequencies of receptor discharge. During
moderate AGR firing (Fig. 8A), the excitatory
sensorimotor pathway via the CG neuron predominates and thereby evokes
simultaneous excitation of GM and LG-MG motoneurons. Under these
conditions, the spontaneous type I pattern typically observed in
vitro in which medial (GM) and lateral teeth (LG-MG) power-stroke
motoneurons fire in phase (Fig. 2) is promoted. During higher AGR
discharge levels (Fig. 8B), both interneuronal
pathways become active, and interneuron GI now inhibits the LG-MG
motoneurons, permitting the GM and LPG neurons to be excited by
interneuron CG. These combined effects induce a new type II gastric
mill pattern in which medial tooth protractor (GM) and lateral teeth
opener (LPG) motoneurons fire in phase. In functional terms, this
reorganization involves a complete change in coordination (Fig. 8,
ellipses) between motoneurons controlling the medial and
lateral teeth subsystems and in vivo is presumably
responsible for adaptive changes in masticatory teeth movements, such
as those reported previously in spiny lobster (Heinzel, 1988 ).

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Figure 8.
Schematic representation of the multiple effects
of AGR on the gastric mill network and its motor pattern. During low
receptor discharge (A), the higher spontaneous
activity of the CG interneuron ensures that its excitatory pathway
predominates, thereby reinforcing the type I gastric mill pattern in
which the GM and LPG neurons burst in antiphase. With intense receptor
firing (B), strong synaptic facilitation in the
GI interneuron ensures that its inhibitory pathway becomes effective,
resulting in a reconfiguration of the gastric mill pattern in which the
GM and LPG neurons are now in phase with AGR firing. Open
circles in gastric mill network wiring diagrams denote
motoneuron subtypes that fire in phase with AGR. Hatched
circles denote motoneurons that fire in antiphase with
AGR. Line thickness indicates strength of corresponding
synaptic pathway.
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Comparison with other sensorimotor systems
Studies in a variety of invertebrate and vertebrate preparations
have demonstrated repeatedly the crucial role of proprioceptive feedback in adapting rhythmic motor programs to changing behavioral demands. Such influences include the regulation and reinforcement of
ongoing movement amplitude and timing, and the control of phase transitions in a single movement cycle (Pearson, 1995 ). In this context, feedback from AGR can also participate in the entrainment and
reinforcement of the gastric mill rhythm (Elson et al., 1994 ) by
promoting GM and (indirectly) LG-MG motoneuron bursts via the excitatory CG interneuron (Simmers and Moulins, 1988a ,b ). However, the
recruitment of the inhibitory GI interneuron and the consequent sustained reconfiguration of gastric mill motor coordination at higher
rates of receptor discharge constitute a completely different sensorimotor effect that has not been demonstrated previously. Phenomenologically, this switch is analogous to the changes in interlimb coordination that, for example, permit a horse to alternate between trotting or pacing, changes that are believed to arise from
different longitudinal combinations of bilaterally alternating forelimb and hindlimb locomotor programs (Pearson and Duysens, 1976 ).
Another reported example that resembles our results is found in
Xenopus embryos (Soffe, 1993 , 1997 ) in which mild mechanical stimulation of touch-sensitive skin sensory neurons activates the
central neuronal circuit for swimming, whereas stronger stimulation recruits additional neurons, resulting in struggling. Here, however, neither the sensorimotor pathways nor the selection mechanism are
completely known, and, in contrast to the gastric mill system, the
different locomotor programs are triggered by brief mechanosensory stimulation rather than being continuously driven by phasic
movement-related feedback.
There are also precedents for routing sensory information to a target
CPG via antagonistic interneurons. In mammals and arthropods alike,
multiple proprioceptive pathways, both excitatory and inhibitory, to
the same functional group of leg motoneurons have been well documented
(Skorupski and Bush, 1992 ; De Serres et al., 1995 ; Pearson, 1995 ;
Leibrock et al., 1996 ). In these cases, the selection between different
sensory pathways depends not on the activity level of the sensory
neurons themselves but on the animal's behavioral state (static or
locomotory) or on which phase in an individual cycle the stimulus is
delivered. In mammals, input from intraoral receptors also accesses the
masticatory CPG via two different interneuronal pathways, one
excitatory that provides positive feedback to jaw closure motoneurons
and one inhibitory that provides negative feedback and can prematurely
terminate jaw closure (Rossignol et al., 1988 ; Appenteng, 1991 ).
Although in this system a specific population of sensory neurons can
evoke different behavioral responses via a stimulus-dependent selection
of different cellular pathways, again unlike our crustacean model, the
selection process results in either reinforcement or protective
termination of a single phase of movement, not the induction of a new
motor program.
Mechanisms subserving sensorimotor processing: activity-dependent
synaptic facilitation
Unlike the systems described above, the relative simplicity of our
preparation allowed access to the mechanisms responsible for the
selection of the sensorimotor pathways on which the differential effects of AGR on the gastric mill network depend. Specifically, our
results indicate that the balance of firing in the two parallel interneuronal pathways is determined by an interplay between relative differences in both intrinsic excitability and synaptic sensitivity to
excitatory input from a single receptor. Whereas the CG interneuron displays high spontaneous firing rates at or near resting potential, the GI interneuron is less spontaneously active but expresses strong
activity-dependent synaptic facilitation in response to AGR activity.
Thus, with weak to moderate levels of receptor discharge, the higher
intrinsic activity of the CG neuron ensures that this excitatory
pathway is favored, whereas, at higher levels of receptor firing, the
strong facilitating capability of the GI neuron ensures that the
inhibitory pathway now also becomes effective. As a consequence, feedback from AGR switches from a reinforcing to a reconfiguring influence on gastric mill motor output.
Our results thus reveal a crucial role for synaptic facilitation in
sensory information processing within the CNS. In the peripheral
nervous system of cricket (Davis and Murphey, 1993 ) and lobster (Katz
et al., 1993 ), mixed weakly and highly facilitating synapses from a
common sensory input generate different temporal sequences of muscle
contraction. Such short-term activity-dependent synaptic facilitation
is generally considered to be a presynaptic phenomenon involving
calcium accumulation in input terminals (Katz and Miledi, 1968 ; Zucker,
1989 ). The differing influence of AGR on the CG and GI neurons suggests
such plasticity may be differentially expressed in different
postsynaptic targets of the same presynaptic neuron. Similar results
have been observed in several systems. In cat, for example, the same Ia
afferent makes central synapses that facilitate at some motoneurons and
antifacilitate at others (Koerber and Mendel, 1991 ). In cricket, a
similar functional segregation of target responses to a single cercal
sensory neuron is believed to result from specific retrograde
influences on presynaptic terminals by the postsynaptic elements
themselves (Davis and Murphey, 1993 ), whereas, at the lobster
neuromuscular junction, such divergent postsynaptic effects appear to
be associated with morphological particularities of the presynaptic
terminals (Katz et al., 1993 ). Whether similar specializations are
implicated in the different sensitivities of the CG and GI neurons to
AGR remains to be seen. An additional possibility is that more than one
neurotransmitter may be selectively released at the different synaptic
sites (Whim and Lloyd, 1989 ; Sossin et al., 1990 ; Blitz and Nusbaum,
1997 ) and/or which may be sensed by different postsynaptic receptor complements.
 |
FOOTNOTES |
Received Oct. 19, 1998; revised Feb. 9, 1999; accepted Feb. 12, 1999.
This work was supported in part by the Human Frontier Science Program.
Correspondence should be addressed to Denis Combes, Laboratoire de
Neurobiologie des Réseaux, Université Bordeaux I and Centre
National de la Recherche Scientifique, Unité Mixte de Recherche 5816, Avenue des Facultés, 33405 Talence, France.
 |
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