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The Journal of Neurophysiology Vol. 87 No. 6 June 2002, pp. 2889-2895
Copyright ©2002 by the American Physiological Society
1Department of Physiology and Biophysics and 2Neuroscience Program, University of Miami School of Medicine, Miami, Florida 33136; and 3Department of Biological Sciences, Purdue University, West Lafayette, Indiana 47907
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ABSTRACT |
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Burrell, Brian D., Christie L. Sahley, and Kenneth J. Muller. Differential Effects of Serotonin Enhance Activity of an Electrically Coupled Neural Network. J. Neurophysiol. 87: 2889-2895, 2002. Networks of electrically coupled neurons play an important role in coordinating activity among widely distributed neurons in the CNS. Such networks are sensitive to neuromodulation; but how modulation of individual cells affects activity of the entire network is not well understood. In the CNS of the medicinal leech, the S interneuron (S-cell) forms a network of electrically coupled neurons where each S-cell is linked to its two neighboring S-cells by electrical synapses. An action potential initiated in one cell is carried the length of the animal along this S-cell chain. The S-cell network is of interest because it is crucial for sensitization and dishabituation of the whole-body shortening reflex, although it is not necessary for reflexive shortening itself. Mechanosensory stimuli that produce shortening will directly elicit a train of action potentials by the S-cell network. This activity reflects the sum of action potential initiations in several S interneurons within the chain. The activity was enhanced by serotonin (5HT) in terms of both the total number of action potentials initiated and the average frequency of these initiations. Increases in evoked activity were accompanied by differential changes in the rates of action potential initiation in individual S-cells. 5HT only weakly enhanced initiations in S-cells that made a large contribution to the network-level response, while initiations in other, less active, S-cells were strongly enhanced by 5HT. This neurotransmitter also modulated the pattern of how activity was distributed throughout the network. 5HT-induced changes in activity patterns of the S-cell network may represent an important component of learning-related neuroplasticity in the leech shortening reflex.
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INTRODUCTION |
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Networks of electrically coupled
neurons are important in a variety of nervous system functions, such as
processing information in the retina (Brivanlou et al.
1998
) and regulating synchronized oscillatory activity in both
mature and developing cortical neural circuits (Beierlein et al.
2000
; Galarreta and Hestrin 1999
; Gibson et al. 1999
; Peinado 2001
). The neurons that
make up such networks are known to respond to a variety of modulatory
neurotransmitters (Beierlein et al. 2000
;
Kawaguchi and Shindou 1998
; Peinado 2000
; Xiang et al. 1998
). However, it is not understood how
these neuromodulators alter the activity of individual cells within the
network, how such changes affect the activity of the entire network,
and what effect these changes have on behavior.
In the CNS of the medicinal leech, Hirudo medicinalis, a
linear network of electrically coupled neurons, the S-cells, provides an opportunity to examine these questions. The leech CNS consists of
head and tail brains connected by a series of segmental ganglia, each
with a single S interneuron. Each S-cell has a bifurcating axon
projecting anteriorly and posteriorly into the nerve that links the
ganglia (medial connective) where it forms an electrical synapse with
the S-cell axon from the neighboring ganglion, similar to the
axo-axonal electrical synapses observed in the CA1 pyramidal neurons
(Schmitz et al. 2001
), producing a chain or network of S-cells that extends throughout the leech CNS (Fig.
1). Individual S-cells are strongly
coupled to one another so that action potentials arising in any one
cell reliably propagate in both directions throughout the interneuron
chain (Bagnoli et al. 1972
). In this respect, the S-cell
chain acts as a single neuron with multiple initiation sites
(Baccus et al. 2001
).
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The S-cell network plays a critical role in nonassociative learning in
the leech during the defensive withdrawal reflex, whole-body shortening. The S-cell receives excitatory synaptic input from the
sensory neurons that initiate shortening (Baccus et al.
2000
; Muller and Scott 1981
), directly excites
motor neurons that produce shortening (Gardner-Medwin et al.
1973
; Magni and Pellegrino 1978
), and is active
during elicited shortening responses. Lesions of the S-cell chain do
not affect the animal's capacity to shorten (Sahley et al.
1994
; Shaw and Kristan 1999
), but cutting the
axon of one S-cell or ablating an S-cell soma eliminates sensitization and disrupts dishabituation of the shortening reflex (Modney et al. 1997
; Sahley et al. 1994
). In addition, both
the number of S-cell action potentials fired during shortening and the
contribution of S-cell activity to the reflex increase during these
forms of learning (Sahley et al. 1994
). These changes
appear to be the result of serotonergic modulation. Depletion of
serotonin (5HT) from the leech CNS has the same effect on learning as
lesions of the S-cell chain (Ehrlich et al. 1992
) and
increases in S-cell excitability observed during sensitization and
dishabituation are mimicked by applying 5HT or stimulating
5HT-containing neurons (Burrell et al. 2001
).
The train of S-cell action potentials produced during an elicited
shortening response is the sum of staggered action potential initiations from several S interneurons within the chain (Baccus et al. 2001
). A single mechanosensory stimulus initiates
impulses in several S-cells because each mechanosensory cell excites
several S-cells within the chain and each region of skin within a
segment is innervated by sensory neurons from several segmental
ganglia. Increases in action potential initiation of the S-cell network are due to the increased contributions by individual S-cells within the
chain. Action potential collisions in the S-cell chain are extremely
rare, occurring to less than 1% of action potentials (Baccus et
al. 2001
) because the S-cell axons are the most rapidly conducting in the leech nervous system. As a result, the
slower-conducting mechanosensory axons initiate activity in more
distant S-cells later, when the earliest-initiated action potentials
have already propagated beyond these more distant cells. Since
learning-induced increases in S-cell activity are due, at least in
part, to serotonergic modulation, the effect of 5HT on the pattern of
action potential initiation within the S-cell network was examined. It
was important to determine whether 5HT increased the activity of the
S-cell network by recruitment of additional S-cells to
initiate action potentials, by causing more initiations in a fixed
subset of S-cells, or by a combination of both mechanisms.
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METHODS |
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Leeches (2-3 g) were obtained from a commercial supplier
(Leeches USA, Westbury, NY) and maintained in artificial pond water (0.5 g Forty Fathoms/1 l H2O; Marine Enterprises,
Baltimore, MD) in a refrigerated incubator at 18-20°C. All
experiments were carried out in leech saline solution consisting of (in
mM) 115 NaCl, 4 KCl, 1.8 CaCl2, and 10 Tris-maleate, at pH 7.4 (Kuffler and Potter 1964
).
Intracellular electrophysiological recordings were made using
thin-walled, glass microelectrodes (0.75 mm ID, Frederick-Haer, Brunswick, ME) filled with 4 M potassium acetate and having a 15- to
20-M
resistance. Signals were amplified with a Getting 5A
electrometer (Getting Instruments) and viewed on a storage oscilloscope
(Tektronix). Extracellular recordings from suction electrodes were made
using a Grass P15 AC preamplifier. Data were filtered (Ithaco 4302 dual
24 dB/octave filter) and converted for digital storage and future
analysis using Axoscope data acquisition software with a Digidata 1200 series interface (Axon Instruments). Controlled stimulus pulses were
delivered using a Grass S88 two-channel stimulator with SIU5 stimulus
isolation units.
Animals were anesthetized by cooling at 4°C in artificial pond water
and then transferred to a silicone-elastomer (Sylgard)-lined (Dow-Corning) dissecting dish that was surrounded by a layer of ice.
All dissections were done in ice-cold leech saline. A chain of nine
mid-body ganglia (usually ganglia 7-15) was dissected from the animal
with the middle three ganglia still connected on one side to a piece of
leech skin by the segmental nerve roots; this was referred to as the
body-wall preparation (Fig.
2A). The body-wall preparation
was pinned to a Sylgard-lined 35 × 10-mm petri dish that was
filled with leech saline. In a pilot study where 5HT was applied to
both the CNS and the periphery, 5HT inhibited mechanosensory-elicited
S-cell activity (data not shown). Therefore a thin Sylgard wall was
placed between the skin and the chain of ganglia so that 5HT could be
applied selectively to the CNS portion of the preparation, similar to
earlier experiments using this type of preparation (Belardetti
et al. 1982
; Mar and Drapeau 1996
). The bottom
and sides of the Sylgard wall were lined with petroleum jelly
(Vaseline) to form a waterproof seal, isolating the ganglia from the
skin. A second Sylgard wall was placed on the ganglia side of the dish
to reduce the overall volume of this portion of the chamber to ~800
µl. Leech saline was constantly perfused through the CNS chamber at a
rate of ~2 ml/min. The skin portion of this chamber was filled with
enough leech saline to just cover the skin.
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A pair of Teflon-coated silver wires (uncoated diameter, 0.125 mm; AM
Systems) was implanted in the skin and bared at the point of contact
with the skin. These wires were implanted in middle segment (11) of the
skin preparation (segments 10-12). The wires were connected to the
stimulator, which delivered capacity-coupled electroshocks (1.5 ms) to
the skin of an intensity sufficient to produce reflexive shortening in
reduced preparations (Burrell et al. 2001
). At both the
anterior and posterior ends of the chain of ganglia, a length of nerve
cord was drawn into a suction electrode to record evoked S-cell
activity (segments 7 and 15, respectively; Fig. 2A).
The protocol for measuring the activity of individual S-cells in the
network was taken from Baccus et al. (2001)
. First, the time required for a single S-cell action potential elicited by the
suction electrode (0.5-ms stimulus pulse) at one end of the chain of
ganglia to conduct to the recording suction electrode at the other end
was measured (Tcond). The S-cell produced
the largest signals in these recordings, permitting its activity to be
readily distinguished (Bagnoli et al. 1972
; Frank
et al. 1975
; Laverack 1969
). A mechanosensory
stimulus was applied to the skin and the resulting S-cell activity was
recorded in both the anterior and posterior electrodes. The initiation
site for each S-cell action potential was determined by measuring the
difference in arrival times (Tdiff) of
each action potential at the two recording electrodes,
Tdiff = Tant
Tpost, where
Tant was the arrival time of an action
potential at the anterior electrode and
Tpost was the arrival time of that
same action potential at the posterior electrode. Action potentials
that arose in S-cells close to the anterior electrode arrived at that
electrode before reaching the posterior electrode; the reverse was true
for action potentials that arose closer to the posterior electrode
(Fig. 2B). The values of
Tdiff clustered to form peaks and the
peaks corresponded to the sites of initiation in the S-cell chain (Fig.
2C) (Baccus et al. 2001
). To identify the
peaks for Tdiff with activity arising in particular S-cells, at least one of the activated S-cells was stimulated intracellularly in every preparation. The
Tdiff of these intracellularly
generated action potentials matched the Tdiff of action potentials elicited by
mechanosensory stimuli. No discrepancies were observed between the two
measurement techniques (data not shown). In addition to counting the
number of action potential initiations, the time at which each action
potential arose was determined using the formula
(Tant + Tpost
Tcond)/2. These data were incorporated
into analysis of the rate of action potential initiation for each
S-cell and for the entire S-cell network.
Nearly all action potentials recorded were initiated in S-cells from
one of the three ganglia still connected to the skin (segments 10-12)
in each preparation. The S-cell in the segment where the mechanosensory
stimulus was applied (segment 11) is referred to here as the central
site, while S-cells in the ganglia just anterior (segment 10) and
posterior (segment 12) are termed the anterior and posterior sites,
respectively. Baccus et al. (2001)
observed that the
more intact the preparation, the more S-cells contributed to the
mechanosensory-elicited response by the network. Initially, experiments
were conducted using more intact preparations (more ganglia connected
to the skin), but it was prohibitively difficult to incorporate the
Sylgard barrier separating the CNS from the periphery without damaging
the preparation.
The effects of 5HT on the pattern of action potential initiation in the S-cell chain were tested as follows. Activity in the S-cell network was elicited by cutaneous electroshocks at 3-min intervals. For the first 6 min, activity was elicited while normal leech saline perfused through the CNS chamber. 5HT (50 µM; Sigma) dissolved in leech saline was perfused through the CNS chamber for the next 9 min followed by an 18-min posttreatment period in normal saline. Activity in the drug-treated group (n = 7) was compared with activity in a control group (n = 4) that received the same stimulation but was not treated with 5HT.
Activity data from the entire S-cell network were analyzed using
two-way ANOVA that examined the effects of treatment group (5HT-treated
vs. control), time and the treatment group-time interaction effect.
Data involving the activity of individual S-cells within the network
were analyzed using the nonparametric Wilcoxon's signed-rank test.
This was done for two reasons. First, the data from individual S-cells
were not normally distributed, in part because of the relatively small
number of events at each S-cell during each elicited response. Second,
when analyzing the effects of 5HT on frequency of S-cell action
potential initiation at various intervals after skin stimulation (see
Fig. 5), performing a statistical test at each interval would have
increased the experimentwise error rate (the probability of accepting a
significance difference where none exists). The Wilcoxon's signed-rank
provides a conservative approach that allows for a paired comparison of
pretreatment versus 5HT treatment activity levels across all intervals
(Sokal and Rohlf 1995a
,b
). All statistical analyses were
performed using Statistica analysis software (Statsoft).
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RESULTS |
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Effects of 5HT on number of action potential initiations
5HT increased the number of mechanosensory-elicited action
potentials initiated by the S-cell network and the enhancement persisted throughout the subsequent post-5HT treatment period (Fig.
3). These conclusions were confirmed by
2-way ANOVA, which detected a significant effect of treatment group
[F(1,126) = 33.01, P < 0.0001], no
effect of time [F(2,126) = 0.33, not significant or
ns], and a significant treatment group-time interaction effect [F(2,126) = 3.69, P < 0.05]. Post
hoc analysis (Neuman-Keuls) confirmed that activity levels were the
same in the control and 5HT-treated groups prior to the treatment stage
and that activity in the 5HT group was significantly enhanced relative
to the control group during the 5HT treatment stage (P < 0.01) and post-5HT stage (P < 0.001). In addition,
activity levels during the treatment and posttreatment stage were
enhanced relative to pretreatment levels in the 5HT group
(P < 0.05). These results are consistent with
previously observed excitatory effects of 5HT on
mechanosensory-elicited S-cell activity (Belardetti et al.
1982
).
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In some experiments (3 of 7), 5HT not only increased firing but also increased the number of S-cells in which impulses arose, that is, that contributed to the network-level response. In others (3 of 7), during the 5HT treatment stage there was no change in the number of S-cells that initiated action potentials, but the number of action potentials generated by the network rose. 5HT, therefore enhanced activity in the S-cell network either simply by increasing activity in S-cells that were already active or by also causing recruitment of additional S-cells into the network response. In a seventh experiment, 5HT enhanced the elicited S-cell response, but the number of S-cells contributing to the response dropped from two to one. Because this was seen only once, this preparation was excluded from further analysis of individual S-cells' contributions to the network's response.
Interestingly, while 5HT significantly increased the number of S-cell action potential initiations at the network level, the excitatory effect differed across individual S-cells within the network (Fig. 4). At the central site, which was the most active, the number of initiations during 5HT treatment did not increase in a statistically significant manner (Wilcoxon's signed-rank test z = 0.84, ns). A greater 5HT-induced increase in the number of initiations was observed at the anterior site, but again this enhancement was not statistically significant (z = 1.89, ns). However, the posterior site S-cell (post + 1), which produced the fewest action potentials of all the activated sites, was significantly enhanced following 5HT treatment (z = 2.20, P < 0.05).
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Effects of 5HT on frequency of action potential initiation
A more detailed analysis of the 5HT-induced changes in S-cell
activity was conducted by examining the frequency of action potential
initiations in the entire S-cell chain and in individual interneurons
within the network. Frequency was determined with respect to time after
delivery of the mechanosensory stimuli. Specifically, for each elicited
response, the number of action potential initiations in a 10-ms period
was calculated and converted to frequency in hertz at 10-ms intervals
after delivery of the mechanosensory stimulus. The resulting pattern of
S-cell activity, shown in Fig. 5, is
similar to the pattern of activity observed by Baccus et al.
(2001)
. The effects of 5HT on the frequency of action potential
initiations, or instantaneous frequency, by the S-cell network varied
with the interval following stimulation of the skin. At the shortest
intervals (<30 ms), the instantaneous frequency of the network during
5HT treatment was not different from that before treatment (~60-100
Hz), but was much higher (~100-175 Hz) at intermediate intervals
(30-80 ms; Fig. 5A). At longer intervals (>80 ms), the
instantaneous frequency during the 5HT treatment stage was higher than
the corresponding pretreatment frequency, but the relative enhancement
was not as great as in the preceding intervals. The observed changes
represented a statistically significant increase in the rate of action
potential initiation in the S-cell network across all intervals
(Wilcoxon's signed-rank test z = 2.79, P < 0.01).
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When the frequency of action potential initiation was examined in the
individual S-cells that contributed to the network response, the
effects of 5HT were found to vary with the site of initiation. As
expected from our earlier study (Baccus et al. 2001
),
the pattern of initiations at the central site strongly resembled the
pattern of the entire S-cell network (Fig. 5, A and
B) and had the highest instantaneous frequency of any of the
S-cells that contributed to the network-level response. 5HT-induced
increases in the central site initiation rate were observed 30-60 ms
after skin stimulus and accounted for nearly all of the increase in
instantaneous frequency at the network level observed at those times.
However, the overall instantaneous frequency increase at all intervals after skin stimulation was not statistically significant at the central
site (z = 1.31, ns). Activity at the anterior site
accounted for much of the later activity observed at the S-cell network level (Fig. 5, A and C). Although 5HT increased
the rate of impulse initiations and thus contributed to an increase in
the network instantaneous frequency at 70-80 ms after skin
stimulation, the overall increase in instantaneous frequency was not
significant (z = 1.36, ns). The posterior site made the
weakest contribution to the pretreatment S-cell network response and
had the strongest 5HT-induced enhancement (Fig. 5, A and
D). Although the posterior site's initiation rate was not
as high as the central site's or that of the whole S-cell network, the
posterior site did contribute to the network level instantaneous
frequency 30-80 ms after skin stimulation, and the overall
instantaneous frequency of the site was significantly enhanced during
the 5HT treatment stage (z = 2.89, P < 0.01).
Effects of 5HT on the activity pattern within the S-cell network
A consequence of action potential initiations occurring at
different times in multiple S-cells along the chain is that different parts of the S-cell network experience different patterns of activity (Baccus et al. 2001
). This happens because when two
action potentials arise at different points along the chain, for
example first at the central and then at the anterior S-cells, the
interspike interval in the anterior direction will be less than the
interval in the posterior direction. The greatest number of action
potential initiations occurred in the central site, which was closest
to the mechanosensory stimulus, followed in magnitude by the anterior
and then posterior sites (Figs. 4 and 5). This bias toward anterior
site initiations occurred in spite of the fact that the anterior and
posterior site S-cells were equidistant from the skin stimulus.
Evidence for a similar bias was presented in Baccus et al.
(2001)
. The result of this anterior bias on activity in
different parts of the S-cell network is as predicted: the interspike
intervals of action potentials recorded at the anterior end of the
chain are less than at the posterior end (Fig.
6), although this trend is not
statistically significant.
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The 5HT treatment increased the firing frequency and shortened the
interspike intervals recorded both anteriorly
(
2 = 61.70, P < 0.0001) and
posteriorly (
2 = 79.38, P < 0.0001). However, the interspike intervals were disproportionately
shortened in the posterior region relative to the pretreatment stage so
that the anterior and posterior became more nearly equal. These results
are consistent with the increased contribution of the posterior S-cell
to the network level response during the 5HT-treatment stage (Figs. 4
and 5). Furthermore, the results demonstrate that 5HT, in addition to
increasing the rate of action potential initiation,
modulates the relative patterns of activity that occur in
the anterior and posterior regions of the S-cell network.
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DISCUSSION |
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Modulation of an electrically coupled neural network
Networks of electrically coupled neurons have distinctive
computational properties. Input can be received from multiple sources by one or many cells within the network to produce a variety of activity patterns by the network as a whole (Brivanlou et al. 1998
). The network, in turn, can alter the activity of groups of neurons widely distributed throughout the CNS in a coordinated or
synchronous manner (Beierlein et al. 2000
;
Galarreta and Hestrin 1999
; Gibson et al.
1999
; Peinado 2001
). While it is well
established that modulation of individual neurons can change the output
of a neural circuit, such modulation typically involves circuits of
various types of neurons with distinctly different response properties
and connections (Harris-Warrick and Marder 1991
). In contrast, neurons that comprise electrically coupled networks typically
are similar in terms of bioelectrical properties, morphology, neurotransmitters used, the type of input received, and the types of
neurons they drive (Brivanlou et al. 1998
;
Galarreta and Hestrin 1999
; Meister et al.
1995
).
In the S-cell network, mechanosensory stimuli that elicit whole-body
shortening activate multiple S-cells within the network in an
asynchronous manner that prevents action potentials from colliding
(Baccus et al. 2001
). This allows impulse initiations in
each S-cell to contribute to the output at the network level. Electrical coupling between S-cells allows action potentials to propagate reliably throughout the network. In this respect, the S-cell
chain resembles a single neuron with multiple action potential initiation sites that contribute to the overall activity pattern of the
cell, similar to neurons found in a variety of invertebrate and
vertebrate species (Antic et al. 2000
; Calabrese
1980
; Chen et al. 1997
; Kriebel et al.
1969
; Martina et al. 2000
; Meyrand et al.
1992
; O'Shea 1975
; Vedel and Moulins
1978
; Zecevic 1996
). In one study, 5HT was found
to modulate the activation pattern of multiple initiation sites with in
a single motoneuron (Meyrand et al. 1992
). Addition of
5HT to the leech CNS produced an increase in the number and frequency
of action potentials elicited in the S-cell chain by mechanosensory
stimuli. The effects of 5HT were more pronounced for S interneurons
near but outside the stimulated segment. In general, the more impulse
initiations that occurred in an activated S-cell prior to 5HT
treatment, the less the effect of 5HT. Thus a statistically significant
enhancement in the number and frequency of action potential initiations
occurred only at the posterior site.
It is likely that several cellular mechanisms contributed to
enhancement of activity in the S-cell network. First, 5HT increases S-cell excitability directly, increasing the number of action potentials generated by a fixed input and lowering the threshold for
action potential initiation (Burrell et al. 2001
). This
would make the S-cell network more responsive to afferent input.
Second, 5HT might enhance afferent input to the S-cell network by
increasing the amount of neurotransmitter released by the sensory cell
terminals, as it appears to do in Aplysia (Hawkins et
al. 1993
). Third, 5HT can relieve action potential conduction
block at central branch points in leech sensory cells (Mar and
Drapeau 1996
). Relief of conduction block can enhance synaptic
transmission to the S-cell (Baccus et al. 2000
;
Muller and Scott 1981
). There is also an intermediate
state in the P-cells, reflection, where action potential propagation is
delayed at the branch point so that in addition to propagating through
the branch point, it reverses direction, activating a portion of
sensory cell's synapses twice and causing facilitation (Baccus
1998
; Baccus et al. 2000
). Although it has yet
to be determined, it is predicted that 5HT could enhance synaptic transmission from P sensory cells to the S-cell by relieving conduction block, thereby causing reflection (Baccus et al. 2000
).
In a compartmental model that mathematically simulated P-cell synaptic
input onto the S-cell chain, Baccus et al. (2001)
showed
that conversion from the blocked to the reflected state, as might be
expected in the presence of 5HT, increased the number of action
potential initiations.
Functional consequences of modulation of the S-cell network
The results demonstrate the integrative consequences to the output
of a network of electrically coupled neurons with spatially distributed
inputs. In effect, the sensory inputs provide a set of delay lines that
permit sensory activation of more distant S-cells at later times. Peak
activity at the central S-cell may be close to its maximum output, and
if the sensory input coincides with the peak activity, this might limit
5HT's enhancement of activity. If the other S-cells are farther from
saturating levels of firing at the time of their (delayed) peak input,
they should show a greater enhancement of initiations during 5HT
treatment, and they do. Thus the presence of additional S-cells
contributing to the network-level response allows for a more extended
burst of activity at a higher frequency than would be produced by a single S-cell. The observed increases in S-cell network activity suggest a mechanism for how this interneuron contributes to the changes
in behavior during learning, a process that is thought to be mediated
by 5HT (Burrell et al. 2001
). The greater burst of
high-frequency activity in the S-cell during an evoked response may
enhance synaptic transmission by the S-cell, increasing firing in some
postsynaptic neurons and initiating it in others where the synapses
usually have a high failure rate (Lisman 1997
).
Increases in S-cell firing rate may enhance release of the neuropeptide myomodulin, a neuromodulator that is present in the S-cell and known to
increase excitability in the Retzius cells (the main 5HT-containing
neurons in the leech CNS) (Keating and Sahley 1996
; Vilim et al. 1996
, 2000
; Wang et al.
1999
). Perhaps it is these effects that bring the S-cell to a
threshold it reaches, following sensitization, when it makes a
significant and critical contribution to the shortening response.
Serotonergic modulation of the S-cell chain also alters the pattern of
activity experienced by different parts of the network. Normally, the
pattern of action potential initiations is biased in the anterior
direction with more initiations occurring in S-cells anterior to the
skin stimulus location than in posterior cells (see current results and
Baccus et al. 2001
). As a result, the anterior portion
of the chain experiences the elicited train of action potentials at
higher instantaneous frequency than the posterior portion. 5HT changes
the pattern of action potential initiations so that posterior S-cells
make a significantly stronger contribution to elicited activity in the
network. Consequently, both anterior and posterior portions of the
S-cell network experience the elicited train of action potentials at
approximately equivalent instantaneous frequencies. It is not known if
this more uniform distribution of activity throughout the network
contributes to learning-related behavioral changes in the shortening reflex.
In conclusion, the results demonstrate that modulatory neurotransmitters can alter the activity of a network of electrically coupled interneurons by differentially modifying the contributions that individual neurons make to the network level response. This change in network activity may be the result of a combination of changes in the level of presynaptic input to the network and in excitability of the component neurons within the network. It shall be important to determine which cellular mechanisms underlie modulation of the S-cell network and how such modulation affects the S-cell's role within the larger neural circuit that mediates whole body shortening. This will in turn help in understanding more generally the mechanisms of neuromodulation in other networks of electrically coupled neurons that contribute to processes such as neural plasticity and sensory processing.
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ACKNOWLEDGMENTS |
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We thank Drs. Brenda L. Moss and Stephen A. Baccus for helpful comments during the preparation of this manuscript.
This work was supported by the Lois Pope LIFE Fellowship (B. D. Burrell) and National Institute of Neurological Disorders and Stroke Grant R01-NS-34927.
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FOOTNOTES |
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Address for reprint requests: B. D. Burrell, Dept. Biological Sciences, Purdue University, West Lafayette, IN 47907 (E-mail: bburrell{at}bilbo.bio.purdue.edu).
Received 2 November 2001; accepted in final form 5 February 2002.
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REFERENCES |
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