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The Journal of Neuroscience, January 15, 2003, 23(2):682-692
Coactivation of Motoneurons Regulated by a Network Combining
Electrical and Chemical Synapses
Lorena
Rela and
Lidia
Szczupak
Laboratorio de Fisiología y Biología Molecular,
Departamento de Fisiología, Biología Molecular y
Celular, Facultad de Ciencias Exactas y Naturales, Universidad de
Buenos Aires, Ciudad Universitaria, 1428 Buenos Aires, Argentina
 |
ABSTRACT |
Electrical transmission among neurons has been considered a
mechanism to synchronize neuronal activity, and rectification provides
a mechanism to confine the flow of signals among the connected neurons.
The question is how this type of transmission operates within complex
neuronal networks. In the leech, the neurons located in position 151 of
the midbody ganglion map are connected to virtually every motoneuron
via rectifying electrical synapses that pass negative current to the
motoneurons. These are nonspiking neurons, and here we have labeled
them NS neurons. The goal of this investigation has been to assess
their role in regulating motor activity and how rectifying electrical
synapses contribute to the function of motor networks.
The coupling between NS neurons and motoneurons was voltage sensitive:
it increased as motoneurons were depolarized. In addition, excitation
of motoneurons evoked hyperpolarizing synaptic responses in NS neurons,
the amplitude of which depended on the membrane potential of the latter
and on the motoneuron firing frequency. This hyperpolarization was
mediated by chemical transmission through an interneuronal layer that
spanned the nerve cord. These interactions established a feedback loop
between NS and motoneurons that was regulated by the membrane potential
of NS. This mechanism was responsible for the uncoupling between
otherwise electrically coupled motoneurons. In this way, the NS neurons
can act as "electrical neuromodulators," modifying the interaction
of other neurons, depending on the activity of the system as a whole.
Key words:
gap junctions; electrical rectification; rectifying
electrical synapses; motor control; leech; nonspiking
 |
Introduction |
The role that electrical synaptic
transmission plays in neuronal networks is not well understood
(Bennett, 1997
; Dermietzel, 1998
; Kiehn and Tresch, 2002
). Its
investigation requires a routine performance of paired intracellular
recordings. Probably because this procedure is more amenable in
invertebrate nervous systems, the contribution of electrical
transmission to the properties of particular neural circuits has been
well characterized in various invertebrates (Furshpan and Potter, 1959
;
Nicholls and Purves, 1970
; Muller and Scott, 1981
; Graubard and
Hartline, 1987
; Edwards et al., 1998
), whereas in the vertebrate
nervous system electrical coupling has been considered of importance
mainly at early postnatal stages, at which it is widely observed
(Peinado et al., 1993
). In recent studies, however,
electrically coupled neurons have been found in different regions of
the CNS (Ishimaru and Williams, 1996
; Galarreta and Hestrin, 1999
;
Gibson et al., 1999
; Koos and Tepper, 1999
; Galarreta and Hestrin,
2001a
; Schmitz et al., 2001
), and it has been proposed that electrical
coupling contributes to spike synchronization (Gibson et al., 1999
;
Mann-Metzer and Yarom, 1999
; Tamás et al., 2000
; Alvarez et al.,
2002
), to coordination of postsynaptic inhibitory potentials (Beierlein
et al., 2000
), and to coincidence detection (Galarreta and Hestrin,
2001b
). In particular, electrical coupling has been observed as a
common feature of networks of inhibitory neurons (Galarreta and
Hestrin, 2001a
; Landisman et al., 2002
).
Electrical transmission plays a recognized role in the leech nervous
system, where this type of connectivity has been characterized among
well identified neurons. Electrical coupling among motoneurons (Stuart,
1970
), sensory neurons (Acklin, 1988
), interneurons (Muller and Scott,
1981
), and neuromodulatory neurons (Hagiwara and Morita, 1962
; De
Miguel et al., 2001
) and in sensorimotor pathways (Nicholls and Purves,
1970
) can be readily recognized. One particular case is constituted by
the pair of neurons identified in position 151 in the midbody ganglion
map (Wadepuhl, 1987
). These neurons have been identified as nonspiking
neurons, which we have labeled NS neurons, and they are connected to
virtually every excitatory motoneuron in the ganglion through
rectifying electrical connections (Wadepuhl, 1989
) that transmit only
negative current to the motoneurons and allow a graded regulation of
the firing frequency of the latter (Iscla et al., 1999
). The scheme
shown in Figure 1 describes the network formed by a pair of NS neurons
and the motoneurons that derived from previous knowledge. It
suggests that the NS neurons are located in a key position to influence
the whole motor system in a global and graded manner.
Here we have investigated how the NS neurons act on the motor system.
The results indicate that the NS neurons are key elements in a feedback
mechanism that regulates the coupling among motoneurons. This feedback
mechanism was formed by a web of electrical (rectifying and
nonrectifying) and chemical synapses that included an interneuronal layer that spanned through the leech nervous system. The
knowledge derived from this particular system uncovers a neuronal
network in which a neuron can act as an "electrical
neuromodulator," modifying the interaction of other neurons depending
on the activity of the system as a whole.
 |
Materials and Methods |
Biological preparation. Hirudo
medicinalis, weighing 2-5 gm, were obtained from a commercial
supplier (Leeches USA, Westbury, NY) and maintained at 15°C in
artificial pond water. The animals were not fed for at least 1 month
before dissection. Individual ganglia, or chains of ganglia, where
stated, were dissected out of the animal and pinned to Sylgard (Dow
Corning) in a superfusion chamber at room temperature (~20°C). The
sheath covering the ganglion was dissected away, leaving the neuronal
cell bodies exposed to the external solution.
Solutions. The ganglia were bathed in standard saline
solution of the following composition (in mM):
115 NaCl, 4 KCl, 1.8 CaCl2, 1 MgCl2, 5.4 Tris base, 10 glucose, pH 7.4. To
block synaptic transmission (Nicholls and Baylor, 1968
) we used a
solution with a high
Mg2+/Ca2+
ratio (20 mM MgCl2 and 1 mM CaCl2). To discriminate
between monosynaptic and polysynaptic connections (Nicholls and Purves,
1970
) between neurons, we used a solution with a high concentration of
divalent cations (10 mM
MgCl2 and 10 mM
CaCl2). In these solutions, the osmolarity was
kept constant by reducing the NaCl concentration. The different
solutions were applied through the perfusion system.
Electrophysiological recordings. Neuronal activity was
recorded using intracellular glass microelectrodes connected to an Axoclamp 2B amplifier (Axon Instruments, Foster City, CA) operating in
the current-clamp configuration. Microelectrodes were pulled from
borosilicate capillary tubing (FHC, Brunswick, ME) and filled with a 3 M potassium acetate solution. Electrodes with a
resistance of 40-60 M
were selected. The recordings were digitized
using a Digidata 1320 interface and acquired using Clampex protocols (pClamp 8.0.2, Axon Instruments) at sampling frequencies of 5-10 kHz.
The neurons were identified by their location, size,
electrophysiological properties, and synaptic connections (Muller et
al., 1981
; Granzow et al., 1985
). Where stated, the membrane potential
of the neurons was shifted to different values by injecting DC current
through the bridge-balanced recording electrode. The recording
electrode was also used, where indicated, to apply square current
pulses into the neurons. Pressure-sensitive (P) cells were
stimulated by trains (5-25 Hz, 0.5-2 sec) of suprathreshold step
pulses (2-4 nA, 5 msec) delivered by a stimulator (Master-8; AMPI,
Jerusalem, Israel) and triggered by the acquisition software. To
measure the input resistance of NS and motoneurons, we injected
square current steps (
0.2 nA, 1 sec) through the recording electrode. Its value was calculated by dividing the amplitude of the voltage deflection at steady state by the amplitude of the current step.
Data analysis. The recordings were analyzed using
commercial software (Axograph 4.5, Axon Instruments). The synaptic
responses were quantified by measuring the maximum amplitude from
baseline or by measuring the time integral, as indicated in the
corresponding figure legends. The coupling coefficient between
two cells was calculated as d/D, where D is the
deflection produced by a square pulse of negative current injected into
one of the cells (presynaptic) and d is the deflection
produced in the coupled cell (postsynaptic). Cross-correlation analysis
was performed using Axograph (the bin size is indicated in the
corresponding figure legends). Curve fitting was achieved using
commercial software (Kaleidagraph 3.0.2, Abelbeck Software).
The results are expressed as the average value ± their SEM, and
the number of neurons, or pairs of neurons, studied is expressed between brackets (n). Statistical significance of the
differences was determined by t tests and paired two-factor ANOVA.
 |
Results |
Electrical connectivity between NS neurons
The pairs of NS neurons, present in each ganglion, are
interconnected via electrical junctions (Wadepuhl, 1989
). To establish the extent of coupling between the bilateral pair, we analyzed paired
recordings of both NS cells while displaying spontaneous and
evoked electrophysiological activities.

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Figure 1.
Scheme of the divergent connections between the NS
neurons and the motoneurons. The scheme represents a circuit showing
the divergent path from the bilateral pair of NS neurons
(black) to the excitatory motoneurons CV, AE, cell 3, and L (gray) within a single ganglion. The NS
cells are coupled to each other through nonrectifying electrical
synapses and to the motoneurons through rectifying electrical synapses.
CV, Circular ventral excitor; AE, annulus
erector; 3, cell 3 dorsal longitudinal excitor;
L, longitudinal excitor.
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NS neurons generally displayed spontaneous changes in membrane
potential that were similarly reflected in the two contralateral somata. Figure 2Ai
shows an example of paired recordings, in which both NS neurons
displayed a series of hyperpolarizing shifts in their membrane
potential of highly similar appearance. These spontaneous changes in
membrane potential probably originated by synaptic input onto the NS
neurons. Cross-correlation analysis of these recordings and of another
five different pairs of NS neurons, displaying various spontaneous
activities, showed a high correlation index. The average
cross-correlogram is shown in Figure 2Aii, and the
average delay of the individual cross-correlograms was of 0.2 ± 0.2 msec. The similarity between the recordings of the two bilateral
homologs indicates that the synaptic sites were electrically
equidistant from both somata. To confirm this interpretation, we
analyzed the responses to evoked synaptic activity. Stimulation of a
mechanosensory cell sensitive to pressure (P cell) evokes synaptic
responses in the NS neurons that are composed of both depolarizing and
hyperpolarizing phases (Marin-Burgin and Szczupak, 2000
). Simultaneous
recordings of both NS homologs revealed that the evoked synaptic
potentials detected in both somata were also very similar (Fig.
2Bi). In this experimental configuration, we observed
a consistent temporal shift between the two recordings. Cross-correlation analysis (Fig. 2Bii) showed that
the responses of the NS neurons contralateral to the stimulated P cells
were delayed with respect to the ipsilateral ones by 3 ± 1 msec
(n = 6).

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Figure 2.
Simultaneous recordings from pairs of NS
neurons within a ganglion. Ai, Representative
simultaneous recordings of the spontaneous activity of both NS neurons
in a single ganglion. Aii, Average cross-correlogram.
The cross-correlograms (bin size 0.5 msec) of six different pairs of
traces were averaged. The dotted lines represent the
95% confidence interval for the mean cross-correlation index.
Bi, Representative simultaneous recordings of the
synaptic responses of both NS neurons, evoked by a train of action
potentials (15 Hz) elicited in a P cell in a single ganglion. The
scheme on top represents a ganglion and the recording
configuration. NSi and NSc denote NS
cells ipsilateral and contralateral to the stimulated P cell,
respectively. Bii, Average of three cross-correlograms
(bin size 0.1 msec). The dotted lines represent the 95%
confidence interval for the mean cross-correlation index.
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To test whether this tight coupling between homologous NS neurons was
sensitive to the voltage across the junctions (junction potential), we
measured the coupling coefficient (see Materials and Methods) as
the presynaptic cell was set at different membrane potentials, whereas
the postsynaptic cell was set at around
50 mV. The results described
in Figure 3 indicate that the coupling coefficient was not significantly affected by shifting the neuronal potential to different values.

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Figure 3.
Coupling between pairs of NS neurons as a function
of the membrane potential. A, Representative recordings
showing the responses of a pair of NS neurons to a current step
injected into one of them (represented by the square step
line on top). We define the injected NS neuron
as presynaptic (top trace) and the second NS neuron as
postsynaptic (bottom trace). The membrane potential at
which the cells were set is indicated on the left of
each trace. B, The graph displays the coupling
coefficient between pairs of NS neurons as a function of the membrane
potential of the presynaptic neuron. The presynaptic cell was shifted
to different membrane potentials, whereas the postsynaptic NS
neuron was set at 50 mV. The symbols and error bars
indicate mean and SEM, respectively (n = 7).
Statistical analysis used two-factor ANOVA with repeated
measures.
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These results strongly suggest that the pair of NS neurons operate as a
unit for a wide variety of signals because of the efficiency of the
electrical coupling between the contralateral homologs through
nonrectifying junctions.
Electrical connectivity between NS neurons and motoneurons
Previous reports suggest that NS neurons are connected to
virtually every excitatory motoneuron in the ganglion (Wadepuhl, 1989
)
and also to the serotonergic Retzius neurons (Marin-Burgin and
Szczupak, 1998
). These electrical synapses allow the conduction of
negative current from NS neurons to motoneurons and positive current
from motoneurons to NS neurons. This feature suggests that the
electrical junctions are sensitive to the voltage across the junctions.
To test this hypothesis we applied a procedure similar to that used in
analyzing the connectivity between the NS homologs.
Because the NS neurons are on the ventral side of the ganglion, we
studied their interaction with the two motoneurons that are located on
the same side (Stuart, 1970
): the AE motoneurons (responsible
for the erection of the skin annuli) and the CV motoneurons (responsible for the contraction of the circular muscles). The coupling
between NS and AE, or NS and CV, was analyzed in terms of the
transmission of negative current from the NS neurons to the
motoneurons. The neurons were shifted to different membrane potentials,
and the junction potential was estimated for each case. Because of
spatial attenuation, the difference between the potentials of the two
somata is an overestimation of the junction potential, and it was
considered only as indicative of the polarity and the magnitude of the
junction potential at the actual junction sites.
Variations in the membrane potential of the motoneuron produced
significant (p < 0.001) changes in the coupling
coefficient (Fig. 4A).
The coupling coefficient was maintained at a low constant value in the
range from
80 to
50 mV and strongly increased when the motoneuron
was shifted to more depolarized values (Fig. 4B,
). Manipulation of the membrane potential could have affected the
input resistance of the motoneuron, and this, in turn, could have
modified its space constant, causing an apparent change in the coupling
coefficient. To evaluate this possibility we measured the input
resistance of the CV neurons as a function of their membrane potential
(Fig. 4B,
). The input resistance of the
motoneuron had a maximum value around
40 mV and decreased
significantly (p < 0.01) at more depolarized or
hyperpolarized potentials. Thus, the increase in the coupling
coefficient observed between
80 and
40 mV could have been
influenced by the concomitant increase in input resistance observed at
this membrane potential range. However, the coupling increased with
further depolarization of the motoneuron, although its input resistance
decreased. These data suggest that, in addition to the influence of the
input resistance on the coupling coefficient, the junction conductance
was influenced by the junction potential, increasing as the NS neuron
side became more negative. Variations in the membrane potential of the
NS neurons did not produce statistically significant changes in the coupling coefficient (Fig. 4C,
), although it showed a
tendency to increase as the NS potential was shifted to potentials more negative than the resting value (approximately
50 mV). The input resistance of the NS cells decreased as they were hyperpolarized (Fig.
4C,
) (p < 0.01), and thus it is
possible that estimation of the coupling at hyperpolarized potentials
was conditioned by the negative influence of a decrement in the input
resistance.

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Figure 4.
Coupling between NS neuron and CV motoneuron
as a function of the transjunctional potential. A,
Representative recordings showing the responses of an NS neuron and a
CV motoneuron to a hyperpolarizing square pulse (represented by the
square step line on top) injected in the
NS neuron. The membrane potential of the NS neuron was set at 50 mV,
whereas the membrane potential of the CV motoneuron was set at 80 mV
(Ai) or 20 mV (Aii). B,
The graph shows the coupling coefficient between CV and NS neurons
( ) and the input resistance of the CV motoneurons ( ) as a
function of the membrane potential of the CV motoneuron (top
axis) and of the difference in membrane potential between the
NS neurons and the CV motoneurons (bottom axis),
measured at the somata (VmNS VmCV).
§ p < 0.01 (compared with each one
of the other data points of the same curve); *p < 0.01 and **p < 0.001 (compared with the value
obtained at no potential difference between somata). C,
The graph shows the coupling coefficient between the CV motoneurons and
the NS neurons ( ) and the input resistance of the NS neurons ( )
as a function of the membrane potential of the NS neuron (top
axis) and of the difference in membrane potential between the
CV motoneurons and the NS neurons (bottom axis),
measured at the somata (VmNS VmCV). *p < 0.01 (compared with the value obtained at a membrane potential of 80 mV).
The coupling coefficient was calculated as the amplitude of the
response displayed by the motoneuron (postsynaptic) over that displayed
by the NS neuron (presynaptic). The symbols and error
bars indicate mean and SEM, respectively (n = 15, for each case). Statistical analysis used two-factor ANOVA with
repeated measures.
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Motoneurons inhibit NS neurons through a polysynaptic pathway
The current flow from motoneurons to NS neurons could only be
clearly seen in a high Mg2+ solution,
which impairs chemical transmission, because in normal saline the
preponderant response of the NS neurons to excitation of the
motoneurons is a series of inhibitory synaptic potentials. When the AE
or the CV motoneurons were stimulated with a positive current step,
both homologous NS neurons showed a highly similar series of synaptic
hyperpolarizing potentials (Fig.
5A). The cross-correlograms of
paired NS recordings (Fig. 5B) evidenced a delay between the responses of 3.7 ± 1.6 msec, indicating that the NS contralateral to the excited motoneuron presented the shortest latency. One should
remember that leech motoneurons send their branches toward the
periphery through the contralateral roots, and they extend most of
their neuritic arborizations in the contralateral hemiganglion. The
amplitude of the hyperpolarizing responses increased with the firing
frequency of the motoneuron, but we did not observe a one-to-one
correlation of the individual postsynaptic potentials with the
motoneuron spikes (Fig. 6).

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Figure 5.
Responses of NS neurons to motoneuron excitation.
A, The two bottom traces show
representative recordings of the simultaneous responses of both NS
neurons within a single ganglion to the stimulation of a CV motoneuron
with a square current pulse (square step line on
top). The top trace shows the recording
of the CV motoneuron during the pulse injection. The small action
potentials recorded in the soma reflect the passive propagation of
fully developed action potentials initiated at an electrically distant
site (Stuart, 1970 ). B, Average cross-correlogram. The
cross-correlograms (bin size 0.2 msec) of 11 different pairs of traces
were averaged. The broken lines represent the 95%
confidence interval for the mean cross-correlation index.
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Figure 6.
Responses of NS neurons as a function of the spike
frequency in the motoneuron. A, Representative
recordings of an NS neuron to the activation of a CV motoneuron. The
two top traces correspond to a CV motoneuron, which was
induced to fire at two different frequencies (indicated under the
traces) by the application of square current pulses
(indicated by the square step lines on
top). The superimposed traces on the
bottom correspond to the respective responses of the NS
neuron. Black and gray traces indicate
the corresponding recording pairings. B, Amplitude of
the NS response as a function of the spike frequency of the
motoneurons, stimulated with current steps of 0.5, 1, 1.5, and 2 nA.
Firing frequencies were normalized to the one observed in response to
the smallest current step (0.5 nA). Open symbols
represent five CV motoneurons; filled symbols represent
four AE motoneurons. The curves are weighted fittings using the locally
weighted least squared error method performed with Kaleidagraph.
Broken line indicates CV data; solid line
indicates AE data.
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The amplitude of the response was also dependent on the membrane
potential of the NS neurons (Fig. 7). It
increased when the neuron was depolarized, and at hyperpolarized
potentials, the hyperpolarizing synaptic potentials had a very small
amplitude and were superimposed on a steady depolarization (Fig.
7A), because of the transmission of positive current from
the motoneuron through the electrical connections. Thus, at depolarized
potentials the inhibitory chemical component of the response
counteracted the depolarizing electrical component. The projection of
the linear fit between the amplitude of the synaptic response and the
membrane potential (Fig. 7B) gave an estimation for the
reversal potential of
46 ± 1 mV.

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Figure 7.
Responses of NS neurons to the activation of
motoneurons at different membrane potentials of NS. A,
Representative recordings of an NS neuron, set at different membrane
potentials (indicated on the left) as an AE motoneuron
(top trace) was stimulated with a square step pulse.
Only one of the motoneuron traces is shown displaying the activity
during the stimulation period. The inset shows the
fragment of the recording indicated by the dotted
rectangle in an expanded temporal scale. Manipulation of the NS
membrane potential, within the studied range, did not affect the spike
frequency of the motoneuron. B, The graph shows the
amplitude of the responses of the NS neurons to the stimulation of AE
(n = 4) or CV (n = 4)
motoneurons as a function of the membrane potential of the NS neuron.
The stimulation protocol was like the one presented in
A. The amplitude was measured only in those cases in
which the hyperpolarization had its onset straight from baseline. The
symbols and error bars indicate mean and SEM,
respectively.
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The dependence of the response amplitude on the membrane potential of
the NS neuron, together with the fact that the responses are abolished
in the presence of a high Mg2+ solution
(Wadepuhl, 1989
), indicates that the signals elicited by the
motoneurons were mediated by chemical transmission through the
activation of an ionic membrane conductance.
To discriminate between a monosynaptic versus a polysynaptic
connection, we tested the persistence of the response in a solution with a high concentration of divalent cations (see Materials and Methods), known to impair polysynaptic pathways in the leech (Nicholls and Purves, 1970
). The inhibitory responses were not observed in the
solution containing high divalent cations (Fig.
8A,B)
(n = 5), indicating that they were mediated by a
spiking inhibitory interneuron(s). This condition unmasked the
electrical transmission of the depolarizing signal from motoneurons to
NS neurons that probably reduced the amplitude of the chemically evoked
hyperpolarization (Fig. 8C). These results are consistent
with the absence of a one-to-one correlation between the spikes of the
stimulated motoneuron and the hyperpolarizing synaptic potentials.

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Figure 8.
Responses of NS neurons to the excitation of
motoneurons in a high divalents solution. A,
Representative recordings showing the response of an NS neuron
(bottom trace) to the stimulation of a CV motoneuron
(top trace) during perfusion of the isolated ganglion
with normal saline. The motoneuron trace displays the activity during
the stimulus (+2 nA square current step). The inset
shows the fragment of the recording indicated by the dotted
rectangle in an expanded temporal scale. B, The
same as in A after the ganglion has been perfused for 5 min with a solution containing 10 mM
Mg2+/10 mM Ca2+. It
was always possible to recover the response after a 10 min washout with
normal saline (n = 5). C,
Superposition of the trace showed in A
displaying the NS response in normal solution (black)
and the "chemically mediated" trace
(gray). The latter was obtained after subtracting
the trace in A from the trace in
B and represents the response mediated by the chemical
transmission without the component caused by the electrical
transmission.
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Motoneurons in each segmental ganglion act locally, innervating the
muscle fibers of the corresponding segment, and they do not extend
branches through the nerves interconnecting the ganglia (Stuart, 1970
).
To test whether the inhibitory signal transmitted from motoneurons to
NS neurons was confined to the ganglion of origin of these cells or
could be transmitted across ganglia via the interneurons, we isolated
chains of three ganglia, stimulated the CV or AE motoneurons from the
anterior or posterior ganglia, and recorded from an NS neuron in the
middle ganglion. AE and CV motoneurons in anterior (n = 4, two of each type) and posterior (n = 4, two of each
type) ganglia produced inhibitory potentials in the NS neurons, which
were of consistently smaller amplitude (38 ± 24%) than the
locally generated responses, as in the examples displayed in Figure
9A.

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Figure 9.
Responses of NS neurons to the excitation of
motoneurons in local and adjacent ganglia. Recordings of the responses
of NS neurons to the stimulation of different motoneurons, performed in
isolated three-ganglia chains (typically from midbody ganglion M7 to M9
or M10 to M12). The notation on the left indicates the
identity of the recorded neurons, where the number
between brackets designates the ganglion number.
A, Representative responses of an NS neuron to the
stimulation of a local AE motoneuron
[NS(8)-AE(8)] and to an AE motoneuron
located in the adjacent posterior ganglion
[NS(8)-AE(9)]. The two AE motoneurons
were given identical stimuli (+3 nA square current step), and their
responses were highly similar. The top trace shows the
activity of the posterior AE [AE(9)] motoneuron during
the stimulation period. The inset shows the fragment of
the recording indicated by the dotted rectangle in an
expanded temporal scale. B, Representative recordings
showing the response of an NS neuron to the stimulation of a cell 3 in
the posterior ganglion. C, Representative recordings
showing the response of an NS neuron to the stimulation of a cell 1 in
the posterior ganglion.
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This recording configuration allowed us to test the influence of the
motoneurons with somata located on the dorsal side of the
ganglion. The excitatory motoneurons innervating longitudinal muscle
fibers, cells L and 3, also elicited hyperpolarizing synaptic responses
in anterior (n = 3, for each neuron) or posterior
(n = 3, for each neuron) NS neurons (Fig.
9B). These responses could also be elicited by motoneurons
located as far as five ganglia away from the ganglion where the soma of
the NS neuron was located (n = 2; data not shown). In
contrast, stimulation of cell 1 (Fig. 9C) and cell 2 (data
not shown), two inhibitory motoneurons, did not elicit any response
(n = 5 for each type).
These results show that motoneuron activity can regulate the membrane
potential of NS neurons, and this regulation can be exerted along the
nerve cord.
NS neurons uncouple motoneurons in a voltage-dependent way
Because NS neurons are coupled to virtually all motoneurons (Fig.
1), it was possible that hyperpolarizing potentials elicited by
excitation of one motoneuron in the NS neurons influenced, in turn, the
activity of other motoneurons in the ganglion. To investigate this
hypothesis we recorded from pairs of motoneurons while performing two
manipulations that affected the hyperpolarizing potentials: (1) we
changed the membrane potential of the NS neurons to enhance (
20 mV)
or reduce (
80 mV) their amplitude (Fig. 7), and (2) we bathed the
ganglion in a high divalents solution to abolish them (Fig. 8).
For the first series of studies we stimulated one AE motoneuron with a
current step while recording a CV motoneuron and an NS neuron, the
membrane potential of which was set at
20 mV or at
80 mV.
Figure 10A displays
representative recordings performed in normal saline solution, where
stimulating the AE motoneuron increased the firing frequency of the CV
motoneuron when the NS neuron was hyperpolarized to
80 mV (Fig.
10Ai). However, when the NS neuron was held at
20
mV and displayed a substantial hyperpolarizing synaptic potential, the
activation of the AE had no effect on the CV motoneuron (Fig.
10Aii). These results suggest that the CV and AE
motoneurons were electrically coupled and that this coupling depended
on the membrane potential of the NS neuron. The question that remained
open was whether the coupling among motoneurons depended directly on
the membrane potential of NS neurons or whether it required the
activation of the interneurons that transmit the synaptic responses
from motoneurons to NS neurons.

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Figure 10.
NS neurons regulate the coupling between
motoneurons. Paired recordings of an NS neuron and a CV motoneuron
during the stimulation of a local AE motoneuron with a square current
step. Only the part of the recording corresponding to the stimulus is
shown for the AE motoneuron. The inset shows the
fragment of the recording indicated by the dotted
rectangle in an expanded temporal scale. A,
Representative recordings in normal saline as the membrane potential of
the NS neuron was set at 80 mV (Ai) or at 20 mV
(Aii). The membrane potential of the CV motoneuron was
manipulated by injecting DC current to obtain a similar spontaneous
firing rate in both conditions. B, Experiments performed
in a high divalents solution (10 mM
Mg2+/10 mM Ca2+) as
the membrane potential of the NS neuron was set at 80 mV
(Bi) or 20 mV (Bii). The
graphs show the change in frequency of the CV motoneuron
(white columns) and the time integral (area) of the
response of the NS neuron (striped columns) for
experiments performed in normal (Aiii) and high
divalents solution (Biii). The increase in frequency of
the CV motoneuron during the injection of current in the AE motoneuron
was measured as fp/fo, where fp is the
firing frequency during the pulse and fo is the basal
firing frequency, measured for 13 sec before the stimulation step. The
time integral was measured during a period of 4 sec from the beginning
of the pulse. The columns and error bars indicate
mean and SEM, respectively (n = 3 for each
column). The magnitude of both parameters is expressed using
the same y-scale, with the appropriate units specified
in column references. *p < 0.01 and
**p < 0.001 (compared with the corresponding basal
frequency); § p < 0.01 (compared
with the value at 80 mV). Statistical analysis used t
tests
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|
To distinguish between these two possibilities, we performed similar
experiments in a solution with high divalent cations that impairs the
inhibitory potentials of NS neurons. Figure 10B displays representative recordings showing that in this condition the
coupling between the motoneurons was independent of the membrane potential of the NS neuron.
We quantified the results from these experiments by measuring
the coupling between motoneurons and the intensity of the response shown by the NS neurons. The motoneuron coupling was calculated as the
change in firing frequency (Fig. 10, legend) of the CV motoneuron, with
respect to its basal firing rate, caused by the stimulation of the AE
motoneuron. The magnitude of the response of NS during the AE
stimulation was measured as the time integral (area) during the
stimulus period. As shown in Figure 10Aiii, in normal
saline the firing frequency of the CV neuron increased significantly (p < 0.01) when the NS neuron was at
80 mV,
but it did not change when the NS neuron was held at
20 mV. As
expected, the area of the NS response at these two voltages shifted
from a positive to a negative value. In contrast, in the high divalents
solution, the firing frequency of the CV neuron increased significantly (p < 0.001) at both NS potentials, although it
was significantly larger (p < 0.01) when NS was
held at
20 mV, and, under these conditions, the area of the response
shown by NS remained positive at both potentials (Fig.
10Biii).
As noted before, the results from Figure 10 suggested that CV and AE
motoneurons were electrically coupled. To further confirm this
observation, we analyzed the coupling between both neurons by passing
depolarizing and hyperpolarizing square current pulses in each cell
while recording the other in ganglia maintained in a solution
containing a high
Mg2+/Ca2+
ratio, which is known to impair chemical synapses (see Materials and
Methods). Figure 11 shows that the
motoneurons were linked by an electrical connection that allowed
passage of positive and negative signals in both directions.

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Figure 11.
The CV and AE motoneurons are electrically
coupled. Paired recordings of an AE and a CV motoneuron showing the
effect of injecting a square current step in one of the neurons, as the
ganglion was bathed in a solution with a high
Mg2+/Ca2+ ratio.
A, The AE motoneuron was stimulated with a + 3nA pulse
(top panel) or a 3 nA pulse (bottom
panel). B, The CV motoneuron was
stimulated with a +3 nA pulse (top panel) or a
3 nA pulse (bottom panel). Qualitatively
similar recordings were obtained for another five pairs of AE and CV
neurons.
|
|
 |
Discussion |
Both NS neurons function as a unit
The nonrectifying electrical coupling between NS neurons resulted
in a high correlation of spontaneous and evoked activity in the two
contralateral homologs in a ganglion. When a specific presynaptic
neuron was experimentally activated, the synaptic responses of the two
NS neurons evidenced a consistent delay that indicated that the NS
neuron receiving the ipsilateral input developed the responses with a
shorter latency (Figs. 2B, 5). The most plausible explanation is that the contralateral NS cell received the synaptic inputs through a double mechanism via branches of the same interneurons that cross over the contralateral side and from the leading NS neuron
via the electrical junctions (Szczupak and Kristan, 1995
). The
combination of chemical and electrical inputs has been considered a
mechanism that contributes to synchronization of the activity of
neurons (Tamás et al., 2000
). Instead, when the spontaneous synaptic activities of the NS cells were compared the
cross-correlograms evidenced no delay. This suggests that the
spontaneous activity resulted from common simultaneous inputs to both
of the neurons.
The coupling between NS neurons and motoneurons was sensitive to
the junction potential
The electrical connection between the NS neurons and the
motoneurons showed a voltage sensitivity consistent with the reported rectification of the junctions (Wadepuhl, 1989
). According to our
results, the junction increased its conductance when the motoneuron side was more positive than the NS neuron side. If that were true, then
hyperpolarizing the NS neuron should have caused the same effect.
Although the results showed a tendency in this direction, the effect of
hyperpolarizing the NS neurons was not as marked as depolarizing the
motoneuron and was not statistically significant. However, one should
notice that the coupling coefficient is not purely a measure of the
conductance of the gap connecting the two neurons; instead, it is also
a measure of the cell properties (i.e., the path from the soma to the
coupling sites, and from there to the soma of the coupled cell). It is
possible that manipulating the membrane potential of the NS neurons, at
the somatic level, was much more inefficient in influencing the
junction region because the transmission depends on passive
conduction. In addition, the observed decrease in the input resistance
when the NS cells were hyperpolarized probably exacerbated this
condition. When these considerations are taken together, the observed
rectification of the electrical NS neuron-motoneuron coupling could be
explained in terms of voltage-sensitive gap junctions that would only
allow positive current passing from the motoneuron to the NS neuron and
only negative current from NS neurons to motoneurons. This feature has
a physiologically relevant implication: the effectiveness of the NS
neuron-motoneuron interaction was regulated by the activity of the
motoneuron, and therefore, the more active the motoneuron, the more
susceptible to the hyperpolarizing influence of the NS neuron.
The voltage sensitivity of gap junctions has physiological
implications in the function of rectifying synapses (Acklin, 1988
; Oh
et al., 1999
), and it has been postulated as contributing to coincidence detection mechanisms (Edwards et al., 1998
). Asymmetries in
the transjunctional voltage dependence were observed in heterotypic gap
junctions (Bennett et al., 1991
), in which the component hemichannels exhibit opposite gating polarities (Verselis et al., 1994
). Oh et al.
(1999)
showed that gap junctions expressed in heterologous systems
exhibit a marked dependence of the transjunctional conductance on the
junction potential, in the range between
40 and 40 mV. This
dependence resembles the one observed in our experiments. Interestingly, in the leech the rectification was observed in junctions
between nonhomologous cells, whereas homologous neurons showed
nonrectifying junctions. It is possible that different leech neurons
express innexins with different properties, forming heterotypic gap junctions.
Network and behavioral implications
The results suggest the existence of a divergent and a convergent
network between the NS neurons and the motoneurons. In the divergent
path, NS neurons transmit only inhibitory signals to most excitatory
motoneurons (Fig. 1), through the rectifying junctions described above.
No excitatory signals are transmitted from NS neurons to the
motoneurons through these junctions. The convergence of signals
transmitted from the motoneurons to the NS neurons takes place along
two paths of opposite effects: rectifying electrical synapses transmit
depolarizing signals and a polysynaptic path transmits hyperpolarizing signals.
The involvement of interneurons in the latter path is consistent with
the fact that stimulation of a motoneuron in one ganglion elicited
responses in NS cells of distant ganglia. The motoneuron projections
are confined to a single segment, and it is unlikely that NS neurons
could transmit a synaptic input passively from their projections in
adjacent ganglia (our unpublished data). According to our
studies, the interneuronal pathway spanned at least five segments, and
thus this network serves as a means to regulate motor activity across ganglia.
Because the magnitude of the inhibitory response depended on the
activity of the motoneurons, as the motoneurons became increasingly active the NS neurons showed increasingly larger hyperpolarizing responses. These potentials, in turn, could be transmitted back to the
motoneurons through the rectifying junctions and inhibit their
activity. This interplay of connections sets the framework for a
negative feedback mechanism to curtail excessive motor activity, regulated by the membrane potential of the NS neurons. In line with
this view, NS neurons neither pass negative current to (Wadepuhl, 1989
)
nor receive an inhibitory input from inhibitory motoneurons.
This chemically mediated input onto the NS neurons produced a clear-cut
influence on the electrical coupling between pairs of nonhomologous
motoneurons. It is important to bear in mind that, because of the
properties of the rectifying junctions, the NS neuron cannot serve as a
bridge to transmit depolarizing signals among the motoneurons connected
to it. A putative mechanism to explain the influence of NS neurons on
motoneuron coupling is described in Figure
12. In this scheme, the NS neurons are
coupled to the motoneurons through a rectifying connection, and the
motoneurons are connected among themselves through nonrectifying
junctions. An interneuronal layer, represented as a single element that
spans through the ganglion, receives excitatory input from the
motoneurons and evokes hyperpolarizing signals in the NS neurons.
According to this model, these synaptic sites are electrically close to the NS neuron-motoneuron junctions, and thus the hyperpolarizing synaptic potentials could pass to the motoneurons, counteracting the
concomitant excitatory effect transmitted through the junctions between
the motoneurons.

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Figure 12.
Scheme of the convergent connections between the
NS neurons and the motoneurons. The scheme represents a circuit within
a single ganglion. The NS neurons (black) are coupled to
the motoneurons through rectifying connections, and the AE and CV
motoneurons (dark gray) are connected between themselves
through nonrectifying junctions. An interneuronal layer (light
gray), shown as a single element that spans through the
ganglion, along the anteroposterior axis receives excitatory input from
the motoneurons and transmits hyperpolarizing signals to the NS
neurons. According to this model, these synaptic sites are electrically
close to the NS neuron-motoneuron junctions, and thus the
hyperpolarizing synaptic potentials could pass to the motoneurons,
counteracting the concomitant excitatory effect transmitted through the
junctions between the motoneurons.
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|
This model complies with the experimental results in the following way.
(1) When the hyperpolarizing synaptic signals were diminished because
the NS neuron was set at
80 mV, the signal transmitted
passively to the motoneurons was too small to counteract the excitation
transmitted from the stimulated motoneuron; and (2) in the absence of
the interneuronal activity, no hyperpolarizing signal was initiated in
the NS neurons and therefore the coupling took place at any NS potential.
Changing NS membrane potential could have indirectly affected the
coupling among motoneurons by modulating the conductance along the
rectifying junctions between the NS neurons and the motoneurons:
increasing the NS neuron-motoneuron coupling would diminish the
effectiveness of the coupling among the motoneurons themselves.
However, in normal solution the coupling among motoneurons took place
at an NS membrane potential (
80 mV) that enhanced the rectifying
junction conductance (Figs. 4, 10). This picture changed in the
presence of high divalents, in which the inhibitory synaptic input onto
the NS neuron was not expressed. In this condition, the motoneuronal
coupling was observed at any NS potential, but it was more effective
when the NS neuron was held at a membrane potential at which the
conductance of the rectifying junctions was smaller (
20 mV). Taken
together the results suggest that the motoneurons were uncoupled by the
transmission of the chemically mediated inhibition that the motoneurons
themselves induced in the NS neurons.
It is noteworthy that the motoneuronal coupling was not expressed as a
one-to-one spike coincidence (Fig. 10). This is in agreement with the
observations by Arisi and collaborators (2001) on coactivation of
motoneurons during the whole body shortening in the leech (Wittenberg and Kristan, 1992
; Shaw and Kristan, 1995
), where a significant independence among coactivated motoneurons was found.
Because the NS projections are so widespread and gradual signals are
conducted passively, it is highly probable that there is some degree of
compartmentalization that defines functional domains in the
arborizations. In such a case the NS neuron could function as a
distributed regulator of the activity level of semi-independent motor
units. Thus, the electrical activity of the NS neuron could reinforce
the coactivity of different specific motoneurons, appropriate to the
different motor activities that the leech displays. This modulatory
action could depend strongly on the spatial distribution of the
chemical and electrical sites described in Figure 12 throughout the NS
topology. The implementation of imaging techniques will be of crucial
importance in studying space distribution of signals throughout the
neuritic arbor in different activity patterns.
The effects of the NS neurons on the motor system could be compared, to
certain extent, with those of a neuromodulator: they can be exerted on
a population of neurons modifying their connectivity properties within
a neuronal network. In that sense we consider the NS neuron to be an
electrical neuromodulator.
Nonspiking neurons have been also characterized in insects (Burrows,
1992
) and share several properties with the leech NS neurons. They are
premotor neurons that influence the firing frequency of the
motoneurons, they are subjected to predominantly inhibitory signals
from premotor spiking interneurons, and they receive sensory input
through a layer of spiking interneurons. The most striking difference
resides in the fact that the insect nonspiking neurons transmit their
signals through chemical synapses.
 |
FOOTNOTES |
Received Aug. 5, 2002; revised Sept. 25, 2002; accepted Sept. 27, 2002.
This study was supported by grants from Fogarty International Research
and Collaboration Award (National Institutes of Health), Human
Frontier Science Program, and Agencia de Promoción
Científica y Tecnológica. We thank Dr. D. Edwards, Dr. G. González Burgos, Dr. G. Murer, Dr. L. Pozzo-Miller, and Dr. A. Schinder for helpful discussion of this manuscript. We also thank M. Rodríguez for assistance with statistical analysis and D. Toledo for graphics assistance.
Correspondence should be addressed to Lorena Rela, CC. 4992, 1000 Capital Federal, 1428 Buenos Aires, Argentina. E-mail:
lrela{at}bg.fcen.uba.ar.
 |
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