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The Journal of Neuroscience, July 15, 2000, 20(14):5483-5495
The Midbrain Precommand Nucleus of the Mormyrid Electromotor
Network
Gerhard
von der Emde1,
Leonel Gómez
Sena2, 3,
Rafaella
Niso2, and
Kirsty
Grant2
1 Institut für Zoologie, Universität Bonn,
Poppelsdorfer Schloss, 53115 Bonn, Germany, 2 Unité
des Neurosciences Intégratives et Computationnelles, Institut de
Neurobiologie Alfred Fessard, Centre National de la Recherche
Scientifique, 91198 Gif-sur-Yvette, Cedex, France, and
3 Department of Biomathematics, Faculty of Science,
University of the Republic, Montevideo, Uruguay
 |
ABSTRACT |
The functional role of the midbrain precommand nucleus (PCN) of the
electromotor system was explored in the weakly electric mormyrid fish
Gnathonemus petersii, using extracellular recording of
field potentials, single unit activity, and microstimulation in vivo.
Electromotor-related field potentials in PCN are linked in a one-to-one
manner and with a fixed time relationship to the electric organ
discharge (EOD) command cycle, but occur later than EOD command
activity in the medulla. It is suggested that PCN electromotor-related field potentials arise from two sources: (1) antidromically, by backpropagation across electrotonic synapses between PCN axons and
command nucleus neurons, and (2) as corollary discharge-driven feedback
arriving from the command nucleus indirectly, via multisynaptic pathways.
PCN neurons can be activated by electrosensory input, but this does not
necessarily activate the whole motor command chain. Microstimulation of
PCN modulates the endogenous pattern of electromotor command in a way
that can mimic the structure of certain stereotyped behavioral
patterns. PCN activity is regulated, and to a certain extent
synchronized, by corollary discharge feedback inhibition. However, PCN
does not generally function as a synchronized pacemaker driving the
electromotor command chain. We propose that PCN neurons integrate
information of various origins and individually relay this to the
command nucleus in the medulla. Some may also have intrinsic, although
normally nonsynchronized, pacemaker properties. This descending
activity, integrated in the electromotor command nucleus, will play an
important modulatory role in the central pattern generator decision process.
Key words:
electric fish; motor command; pacemaker; corollary
discharge; central pattern generator; mormyrid; premotor pathways; sensory motor integration
 |
INTRODUCTION |
Rhythmic motor behaviors are part of
the behavioral inventory of most vertebrates. Examples include
locomotor activity, rhythmic vocalizations, electromotor behaviors of
weakly electric fish, and microsaccadic eye movements. Many of these
behaviors have similar physiological properties and may have developed
according to common ontogenetic and phylogenetic principles (Grillner
and Georgopoulos, 1996
; Bass and Baker, 1997
). These behaviors
are repetitive, more or less stereotyped, and have a temporal pattern that is produced by brain areas referred to as central pattern generators, neural oscillators, or pacemakers (Grillner et al., 1995
;
Katz, 1995
; Cohen et al., 1996
; Grant et al., 1999
). Pacemaker networks
produce a basic temporal rhythm of behavior, which in turn can be
modified to various degrees by premotor centers. In this paper, we
investigate the physiology of the midbrain precommand nucleus (PCN) of
the electromotor system in the weakly electric mormyrid fish
Gnathonemus petersii, and its role in the modulation of the
intrinsic rhythm of electromotor behavior.
The all-or-none, pulse-type electric organ discharge (EOD) in mormyrid
fish is driven by an irregularly rhythmic central command network.
Electroemission is used for active electrolocation (Lissmann and
Machin, 1958
; von der Emde, 1999
) and intraspecific
electrocommunication (Hopkins, 1988
; Kramer, 1990
). EOD displays reveal
a structured temporal organization (Teyssedre et al., 1987
), including
endogenously controlled regularization, phase-locking to external EOD
signals, and sensorimotor reflexes. Distinct electromotor behaviors are associated with exploration or social interactions (Bauer and Kramer,
1974
; Bell et al., 1974
; Toerring and Moller, 1984
; Moller et al.,
1989
; Serrier and Moller, 1989
). Similar EOD patterns can also be
elicited experimentally by artificial electric stimuli (Moller, 1970
;
Bauer, 1974
; Serrier, 1982
).
Spinal electromotoneurons driving the electric organ receive a
descending command from a central pattern generator in the medulla.
This consists of two adjacent midline nuclei, the command nucleus (CN),
which initiates the electromotor commands, and the medullary relay
nucleus (MRN), whose function is to synchronize the descending command
volley (Szabo, 1957
; Aljure, 1964
; Bennett et al., 1967
; Bell et al.,
1983
; Elekes et al., 1985
; Elekes and Szabo, 1985
; Grant et al., 1986
,
1999
). The endogenous rhythm of the electromotor command depends on the
membrane properties of the CN neurons and on their postsynaptic
integration of afferent activity (Grant et al., 1986
).
The afferent and efferent connections of the medullary relay and
command nuclei were established by tracing using horseradish peroxidase
(Bell et al., 1983
). In addition to the descending electromotor command
pathway, these authors identified an ascending corollary discharge
pathway projecting from the command nucleus, via the bulbar
command-associated nucleus (BCA) to the mesencephalic command-associated nucleus (MCA). The bilateral PCN situated at the
mesencephalic-diencephalic border (Bell et al., 1983
) (Fig. 1A) was identified as
the principal source of descending afferent projections to CN.

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Figure 1.
Electromotor-related field potentials in PCN.
A, Schematic diagram of Gnathonemus
petersii brain in sagittal section, showing relative positions
of the PCN, the CN, the MRN, and the MCA (CN and MRN are midline
nuclei; PCN and MCA are bilateral nuclei, actually situated in a more
lateral parasagittal plane). C1, C2, C3, Cerebellar
lobes; ELL, electrosensory lateral line lobe;
HYP, hypothalamus; TEL, telencephalon;
VAL, valvula cerebelli. B, C, Top
traces, EMN recorded at the skin surface above the electric
organ; middle and bottom traces,
electromotor-related field potentials recorded extracellularly in the
PCN and CN, in the same fish (averaged traces: EMN,
n = 50; PCN, n = 50; CN,
n = 80). T0 defines the
first negative peak of the EMN volley which, by convention, is used as
the temporal reference point used to compare the timing of field
potentials and unit activity in this and other figures. The much
smaller negative wave preceding T0
corresponds to the descending afferent volley. The center of PCN was
reliably identified by the slow positive potential (B, arrow,
middle trace) that follows the two initial negative peaks.
C, The relative timing of the negative field potentials
in PCN and CN (arrows): note that electromotor-related
field potentials began 0.7 msec earlier in CN (bottom
trace) than in PCN (middle trace).
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The aim of the present study was to identify the precommand nucleus
electrophysiologically and to explore its functional role in
electromotor command generation.
 |
MATERIALS AND METHODS |
Animals. Thirty Gnathonemus petersii,
ranging in length from 8.0 to 13.8 cm were used in this study. All fish
were acquired from registered fish dealers in either Germany or the
United States.
Preparation. Fish were anesthetized initially in tricaine
methylsulfonate solution (MS-222; Sandoz, Basel, Switzerland or Sigma,
St. Louis, MO; concentration 1:10,000). Anesthesia was maintained
afterward by buccal perfusion of aerated MS-222 solution (concentration, 1:30,000; flow rate, 50 ml/min). For surgery the fish
was supported laterally against a wax block or in a foam-lined support
clamp, with only the dorsal surface of the head above the water. Under
additional local anesthesia (2% lidocaine gel), a small opening was
made in the cranium above the midbrain (for recording from PCN) or
above the hindbrain (for recording from CN), exposing part of the
valvula cerebelli, which covers the whole dorsal brain of G. petersii. At the end of surgery all wound edges were again treated
with lidocaine gel. The fish was paralyzed by intramuscular injection
of either gallamine triethiodide (Flaxedil Spécia; 0.5 mg) or
D-tubocurarine (Sigma; 0.075 mg). MS-222
anesthesia, which suppresses electromotor command activity, was
discontinued, and artificial respiration was maintained by a perfusion
of aerated aquarium water.
The discharge of the electric organ is blocked by curarization, but the
descending command signal, in the form of the synchronized three-spike
spinal electromotoneuron volley (EMN) (Fig. 1B,C), can still be recorded using two silver ball electrodes placed on the
skin over the electric organ, relayed to a high gain differential amplifier. The first large negative peak of the electromotoneuron volley has been defined as a "zero" time reference (Fig.
1B,C, T0) to
normalize records from different fish. In the noncurarized fish, an EOD
would normally occur 4.5 msec after
T0.
Recording and stimulation in PCN. PCN was localized with a
single-barrel glass micropipette (tip diameter, 1-3 µm) filled with
3 M NaCl. Electromotor command-related field potentials and extracellular single-unit responses were recorded either with a World
Precision Instruments (WPI) M-707A electrometer or a WPI DAM 80 differential amplifier, digitized (Sony digital audio processor; PCM
1300) and recorded on a videotape system for further analysis. Data
were analyzed with ACQUIS1 software (developed by G. Sadoc for the
Centre National de la Recherche Scientifique). The bandpass of the
recording system for field potentials was set at DC to 3 kHz, (for the
WPI M-707A electrometer) or 0.1 Hz to 3 kHz (for the WPI DAM 80 differential amplifier).
A stereotaxic zero reference was defined for each experiment, usually
as the most rostral bifurcation of the blood vessel that runs along the
medial margin of the edge of the valvula fold. This point is generally
~1200 µm lateral to the midline and the same distance caudal to the
front of the C1 lobe of the cerebellum. Electrodes were angled ~2°
lateral to the vertical axis of the fish. Tracking was begun 400-500
µm medial and 300-500 µm rostral to the stereotaxic zero point.
Physiological identification of the precommand nucleus from recorded
field potentials is described in Results.
In some experiments, the single-barrel electrode was replaced with a
triple-barrel electrode (diameter of the tip of each barrel, ~2 µm)
once the location and depth of the PCN were ascertained. The three
barrels contained, respectively, L-glutamate (Sigma; 0.1 M in water, pH 8.0), Neurobiotin (Vector Laboratories,
Burlingame, CA; 2% in 1 M KCl) and 3 M NaCl.
To label recording sites, Neurobiotin was ejected iontophoretically
with pulsed positive current (10 sec on, 3 sec off; 2-5 µA for 30 min). In other experiments, smaller deposits of horseradish peroxidase
(HRP; 5% in isotonic NaCl) were used to label precise sites where
maximum amplitude field potentials were recorded (tip positive, 1 µA
for 1 min.). Neurobiotin labeling was developed using the ABC technique
(Vector), and HRP labeling was revealed using the Hanker-Yates
procedure modified by Bell et al. (1981)
.
While tracking through the brain, electrical microstimulation was used
to identify points from which the electromotor system could be driven
with a low threshold. Constant current (1-10 µA) square pulses of
0.2 msec duration or longer lasting DC currents (1-5 µA), were
delivered directly through the micropipette containing 3 M
NaCl. L-Glutamate iontophoresis (negative currents of
0.1-2 µA), which selectively stimulates cell bodies and dendrites
but not fibers of passage, was used to stimulate PCN neurons chemically and thus to explore the effect of PCN neuron activity on the
electromotor activity of the fish.
Peripheral electrosensory stimuli were applied using a stainless steel
dipole (6 cm between electrodes) placed parallel to the fish at a
distance of 5 cm, with the negative pole toward the head (potential
gradient close to fish skin: 10-100 mV/cm). Monophasic square stimulus
pulses of 0.5 msec duration were triggered by the EMN volley with a
delay of 100 msec. This type of stimulation is not identical to a
natural EOD but is effective in eliciting EOD responses in the
behavioral context (Serrier, 1982
).
Histology. After each experiment, the fish was
reanesthetized deeply with MS-222 (concentration, 1:15,000) and
perfused via the heart with fixative containing 2.5% formaldehyde and
2.5% glutaraldehyde in 0.1 M phosphate buffer, pH 7.4. Electrode tracks and the site of HRP deposit were reconstructed in the
light microscope, from 80-µm-thick cresyl violet or neutral red
counterstained sections.
 |
RESULTS |
The PCN region (Fig. 1A) has not been explored
electrophysiologically previously, and although it is known that PCN
axons project to the electromotor CN, it was not certain that an
endogenously active motor-related field potential would be recorded at
this site. For this reason, in preliminary experiments,
microstimulation (1-10 µA) was used to find sites in the deeper
regions of the midbrain from which the electromotor pathway could be
driven with a low threshold. It was then observed that small
electromotor-related field potentials were recorded at points where the
threshold for electromotor activation was lowest. These sites were
labeled by deposit of HRP or Neurobiotin. Histology showed that these
recording sites corresponded to the anatomical description of PCN
(Grant et al., 1999
). The electromotor-related field potentials, unit activity, and electrosensory responses of PCN are described below.
Field potentials in PCN
The typical field potential recorded in the center of PCN is
illustrated in Figure 1, B and C (middle
traces); this was recorded at a depth ranging from 3550 to 5800 µm from the dorsal surface of the brain, depending on fish size and
electrode angle. PCN could be reliably identified by a two-peaked
negative field potential, followed by a slow positive potential that
was always associated with every EMN volley. The three components of
the PCN field potential varied in size in the different regions within
the nucleus. The slow positive potential (Fig. 1B,
middle trace, arrow) was largest in amplitude in the center
of the nucleus. In the more caudal regions of PCN, from which
descending axons exit in a medioventral direction, the first negative
peak was large, and the second negative peak was less prominent; the
slow positive potential was small. Toward the rostral pole of PCN, the
initial negative peak and the slow positive potential were small or
absent, and multiunit bursting activity of the sort illustrated in
Figures 8 and 9 was predominant. Neurons in this region of the nucleus
are smaller (K. Grant and G. von der Emde, unpublished observations),
and it is possible that they form a functional population that is different from that formed by neurons in the center and caudal region.
The first negative peak of the PCN field potential preceded
T0 by a constant fixed interval (Fig.
1B). In most fish this interval was ~2.2 msec (Fig.
2B,C). The second
negative peak of the PCN field potential varied more in amplitude and
timing at any given site; in certain records it was barely visible. It
occurred between 0.75 msec before and 0.55 msec after
T0 (Figs. 1B,C,
2B,C). The slow positive field potential followed the
negative peaks, reaching a maximum after 8-12 msec and lasting for
20-40 msec (Figs. 1B, 2A). This
positive wave was characteristic of PCN and was recorded only in the
region containing PCN cell bodies; it could usually be detected on an
audio-monitor before it became visible above the background noise level
on the oscilloscope trace and it was of particular value in
distinguishing the nucleus field potential from other EOD
command-related events occurring in neighboring regions.

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Figure 2.
Comparison of the timing of electromotor-related
activity in PCN with the corollary discharge-driven field potentials
seen in MCA. Field potentials from the two nuclei were recorded
successively in the same electrode track. A,
B, Top traces, Electromotoneuron triple
volley (average, n = 39); bottom
traces, averaged traces of extracellular field potentials in
PCN (n = 15) and the MCA (n = 39) recorded in the same fish. Note that electromotor field potentials
begin earlier in PCN than in MCA the most extreme example is
illustrated. In PCN a characteristic slow positive wave follows the two
initial negative peaks (A, middle trace), whereas in
MCA, a slow negative wave occurs at this time (A,
bottom trace). C, Comparison of the
timing of negative peaks of the PCN and MCA field potentials (B,
arrows) recorded successively in the same electrode tracks
(data pooled from 11 fish). Open symbols, Negative peaks
in PCN; filled symbols, negative peaks in MCA. The first
electromotor-related events occurred 2-2.2 msec before
T0 in PCN and ~0.2 msec later in MCA. The
relative timing of later negative peaks occurring in PCN and MCA was
less constant.
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PCN axons project to the command nucleus in the medulla (Bell et al.,
1983
), and thus the field potentials were compared in the two nuclei.
Recorded in the same fish, the first negative peak in CN preceded the
first negative potential in PCN by 0.7 msec (Fig. 1C). This
shows that the first negative peak of the field potential in PCN is a
consequence and not a cause of activity in the command nucleus. The
second negative peak in PCN was more variable in form and timing than
that in CN, but when it did occur, it appeared later than the second
negative peak in CN.
Because motor-related activity began later in PCN than in CN, it is
possible that the field potentials recorded in PCN were the result of
electromotor command corollary discharge activity. PCN field potentials
were thus also compared with those recorded in the nearby MCA. MCA
receives excitatory input via a disynaptic pathway from CN (Bell et
al., 1983
; Grant et al., 1986
; Bell and von der Emde, 1995
) and is the
midbrain relay of the corollary discharge pathway. It is situated in
approximately the same rostrocaudal plane as PCN, ~1 mm dorsal and
200 µm lateral, and was often recorded in the same electrode tracks
as PCN.
The MCA field potential also had two prominent negative peaks (Fig.
2A, bottom trace), although its form was
often more complex than that recorded in either PCN or CN (Aljure,
1964
; Bell et al., 1995
). Comparison showed that the first negative
peak of the field potential in PCN always occurred earlier (~0.2
msec) than the earliest negative peak recorded in MCA (Fig.
2B,C). Similarly, the second negative peak in PCN
almost always occurred earlier than the second negative peak of the MCA
field potential, although in a few cases the timing was reversed (Fig.
2C). In general, the occurrence of the second negative peak
in MCA was variable, and its timing was not strictly correlated with
that of the second negative peak in PCN. Thus, the second negative
peaks of the PCN and MCA field potentials were probably neither
causally related nor of common origin. The latencies of the negative
field potentials recorded in PCN and MCA are compared in Figure
2C. It is also interesting to note that in MCA, the two
initial sharp negative peaks were followed by a slow negative field
potential lasting up to 30 msec (Fig. 2A, bottom
trace), in contrast to the slow positive potential observed
in PCN (Fig. 2A, middle trace).
Unitary activity in PCN
Two different sorts of unitary action potential activity were
recorded extracellularly in PCN: (1) tonically active units that fired
spontaneously with an irregular rhythm, some increasing their frequency
just before the initiation of the EMN volley, but that were always
silent for 20-70 msec immediately after the EMN volley (Figs.
3-6),
and (2) units that fired a burst of action potentials during the period
immediately after initiation of the EMN volley but that were otherwise
silent (Figs.
7-9).

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Figure 3.
Spontaneous unitary spikes in PCN and occlusion of
electromotor-related spikes. A, B, Two
examples of units that fired spontaneously preceding electromotor
activation. Top traces, Electromotoneuron triple volley.
Traces in A are presented without filtering; traces in
B were filtered to eliminate the slow positive wave that
normally follows the negative motor-related events, to facilitate
spike-timing analysis. In Aa and Ba, in
the majority of cycles (selected superimposed traces), the timing of
one unit spike had a fixed latency relative to
T0 (large arrows); the other
spikes appear sporadically. In B (Bb and
Bc, individual traces), a second motor-related spike
frequently occurred a little later (small arrow),
corresponding to the timing of the second negative peak of the PCN
field potential, but its timing was less constant, and it was sometimes
absent (Bd-Bg). In both A and
B, when spontaneous unit spikes occurred within the
period between the vertical dotted lines, the fixed
latency motor-related spike was either absent (Ac-Ad,
Bh,i) or delayed (Ae-Ag,
Be-Bg). For explanation of apparent occlusion, see
Results.
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Figure 4.
Occlusion of motor-related unitary firing (data
from unit in Fig. 3A).
A1-A3, Precommand raster
diagrams show timing of spikes relative to
T0. A new sweep was triggered by each EMN
volley. A1, Spike firing during
successive inter-EMN cycles, presented in the natural order of
occurrence. A2,
A3, Cycles have been reordered to
illustrate occlusion period of fixed-timing motor-related spike.
A2, Cycles in which a fixed latency
motor-related negative spike occurred within ±0.08 msec of the mode of
the spike timing histogram shown in B (2.2 ± 0.08 msec before T0). A3,
Cycles in which the motor-related first negative spike was either
delayed (sweeps 29-60) or absent (sweeps 1-28). Vertical
dotted lines indicate the mean latency (2.2 msec) of the fixed
motor-related negative spike (Fig. 3A, large arrow)
(c); a period during which, if a spontaneous
spike occurred, the motor-related spike was delayed
(a,b); and a period during which if a spontaneous spike
occurred, the motor-related spike was absent (b,c).
Points a and b are 5.8 and 4.3 msec,
respectively, before T0. B,
Histogram showing cumulated spike firing pattern for period 25 msec
before T0.
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Figure 5.
Example of timing of unit activity, firing
tonically except immediately after the EMN volley. A,
Method of construction of the raster shown in
B. Top trace (EMN), Occurrence of EMN
triple volley (T0). Bottom
trace (PCN), Spiking activity of PCN unit. Note that spike
firing is always interrupted for several tens of milliseconds
after the EMN volley. Letters a-e
represent the successive episodes of spikes fired by the PCN unit
between EMN volleys. Bursts b-d are each plotted twice:
first after the current EMN volley and then again on the next line,
before the next successive EMN volley. B,
Peri-T0 raster diagram showing spontaneous
firing before and after EMN volley in successive cycles. Note that the
right-hand envelope of the raster (from T0
to the last spike in the line) can be interpreted as a plot of
successive EMN intervals. C, Cumulated histogram of
spike firing over 750 cycles. Note the silent period of ~50 msec
always present after T0.
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Figure 6.
The relationship of spontaneous firing to the
inter-EMN interval duration (same unit as in Fig. 5). A,
Inter-EMN interval duration is plotted against mean firing frequency of
the PCN unit, calculated over the period after the previous post-EMN
volley silent period, until the current T0.
Transition from the basal mean firing frequency of ~0.03 kHz, to
higher firing frequencies (up to 0.1 kHz), is inversely related to the
duration of the inter-EMN intervals. B, Inter-EMN
interval duration is plotted against the timing of the first spike
after the post-EMN silent period. Inter-EMN volley intervals tend to be
shorter when the first post-EMN volley spike occurs earlier.
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Figure 7.
Unit activity during the slow positive PCN field
potential. A, EMN triple volley and averaged
extracellular field potential recorded in PCN (n = 15). Arrow indicates first negative electromotor-related
negative peak of PCN field potential. B, Burst-type unit
activity that occurs only during the period of the corollary
discharge-related positive field potential. C, An
intracellular record made at a distance of 100 µm from the unit in
B, showing a large IPSP whose timing corresponds with
that of the slow positive field potential and the burst activity
recorded extracellularly.
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Figure 8.
Post-EMN volley bursting units fire stereotyped
sequences of spikes with individually different timing.
A, Three different units recorded in PCN that fired a
burst of action potentials during the time of the slow positive field
potential (see Fig. 7), each with a different timing relative to
T0 (AC-coupled records that filter slow
positive field potential). The timing of action potentials in the
individual bursts was extremely constant see histograms constructed
over n cycles, below each set of traces.
B-D, Data for the first unit illustrated in A.
B, Histogram of inter-EMN intervals constructed over 86 cycles
(peak between 400 and 600 msec). C, D, Plots of burst
duration against latency of the first spike of the burst occurring
after T0 (C), and of
inter-EMN interval against burst duration (D)
show that there was no significant correlation between these parameters
(df = 115; r = 0.14; p > 0.05 for C; r = 0.17;
p > 0.05 for D) (the same analyses
performed for the second and third units in A gave
similar results).
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Figure 9.
The post-EMN volley burst activity is correlated
with inter-EMN volley interval when the intrinsic EOD command rhythm is
rapid. A, EMN volley, extracellularly recorded burst
activity, and spike latency histogram for a fourth unit recorded in PCN
(AC-coupled record), during relatively rapid firing of the intrinsic
electromotor command. The timing of spikes within the burst was less
constant for this unit than for the units illustrated in Figure 8.
B, Histogram of inter-EMN intervals over the recording
period, showing that the intrinsic rhythm of the EOD command center was
faster during this recording (peak at 150 msec) than during those shown
in Figure 8. C, Plots show an inverse correlation
between inter-EOD interval and latency of first spike in burst
(Ca), and direct correlation between inter-EOD interval
and burst duration (Cb), and inter-EOD interval and
intraburst firing frequency (Cc). These correlations are
only significant for points obtained when the EMN interval was 200
msec (df = 102; r = 0.44;
p < 0.001 for Ca;
r = 0.4; p < 0.001 for
Cb; r = 0.3; p < 0.002 for Cc). Regression lines are shown in each
plot for points in which inter-EMN interval was <200 msec.
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Many units of the tonically active first type fired mainly before
initiation of the electromotor command and only sporadically at other
times (Fig. 3). Other units of this type fired more continuously (Fig.
5), pausing only at the time of the EMN volley and for a short period
afterward (Fig. 5B). Figure 3 shows that these units often
fired an action potential at a fixed time before
T0 (Fig. 3A,B,
superimposed traces), resembling the first negative peak of
the motor-related field potential recorded at the same site (Fig.
1C). This suggests that the first negative peak of the PCN field potential is probably in fact a focal potential corresponding to
the synchronous activation of a small number of units close to the
electrode tip. However, when a unit potential fired within a time
window of a few milliseconds immediately before the expected occurrence
of the motor-related spike, the latter was either absent (Fig.
3A, traces b-d) or appeared to be
delayed (Fig. 3A, traces e-g; B, traces
d-h).
This phenomenon is illustrated over 200 electromotor command cycles in
Figure 4 (the same unit as Fig. 3A). The upper raster (Fig.
4A1) shows the timing of unit
spikes relative to T0 for successive
electromotor command cycles illustrated in the natural order in which
they occurred. In some cycles the fixed motor-related spike was
present, and in others it failed or was delayed. In the rasters of
Figure 4, A2 and
A3, the individual sweeps have been
reordered to explore this further. Figure
4A2 shows those cycles in which
a unit spike occurred exactly at the time of first negative peak of the
field potential (at 2.2 ± 0.08 msec before T0). Figure
4A3 shows spike timing in
cycles in which the fixed-latency first negative peak was either
delayed (sweep numbers 29-60) or did not occur (sweep numbers 0-28).
Thus, the fixed timing motor-related spike only occurred if no other
unit potential fired during a time window of 3.6 msec preceding the
expected motor-related spike (period a-c in Fig.
4A2, i.e., 5.8-2.2 msec before
T0). The motor-related unit spike was
present but delayed if other unit spikes fell within the period
a-b, (Fig. 4A3)
i.e., 5.8-4.3 msec before T0, or 3.6 to 2.1 msec preceding the expected motor-related spike, and no motor-related spike occurred if other spikes fell within the period <2.1 msec preceding the expected motor-related spike (period
b-c in Fig. 4A3,
i.e., 4.3-2.2 msec before T0). The
distribution of all spikes firing before
T0 is shown in the histogram of Figure 4B.
This failure of firing resembles collision rather than refractoriness,
because interspike intervals of <2 msec were observed in the
spontaneous firing of this unit (e.g., Fig. 3Aa). It
suggests that the fixed-timing motor-related unit spike may not have
the same origin as the irregularly timed preceding spikes. The
fixed-timing motor-related spike occurs ~0.7 msec later than activity
in the command nucleus (Fig. 1C), but this interval is
probably not long enough to include trans-synaptic feedback from the
command nucleus via the known corollary discharge pathway. We therefore
suggest that the fixed-timing PCN spike may result from antidromic
invasion of PCN axons terminating on CN neurons, at the moment of the
synchronous firing of CN neurons that drives the descending
electromotor pathway. This antidromic backpropagation may be initiated
across electric synapses because the ultrastructural study by Elekes
and Szabo (1985)
showed that the majority of synapses contacting CN
neuron somata contain gap junctions (see Discussion).
The period in which spiking was not followed by a motor-related spike
is close to the occlusion period that would be expected if the
motor-related spike in the PCN unit were driven by antidromic invasion
from the postsynaptic command neurons, which can be calculated as the
sum of the conduction time from PCN to CN, plus the refractory period
of the PCN axon, plus the conduction time from CN to PCN, i.e., 0.7 + (~ 1) + 0.7 = 2.4 msec. (The conduction time from PCN to CN was
calculated as 0.7 msec, taken as the difference between the first
negative peaks of the field potentials in PCN and CN illustrated in
Fig. 1C.)
The unit in Figure 3B shows records from another site,
illustrating a second, later motor-related unit potential that
corresponded to the timing of the second negative peak of the PCN field
potential observed in other recordings (Figs. 1B,C,
2A,B). The timing of this second motor-related spike
was variable, and it was not always present.
Figure 5 illustrates the tonic firing pattern of a similar unit that
was continuously active, except immediately after initiation of the EMN
volley. To understand how spontaneous unit firing in PCN might be
related to the length of inter-EMN intervals, a peri-EMN raster diagram
was constructed showing all spikes occurring before and after
T0, over 150 EOD command cycles. The
method of construction is described in Figure 5A. In each
line of the raster, all spikes occurring before each EMN volley were
plotted to the left of T0; the length
of the silent period and all spikes occurring after each EMN volley
(and before the next EMN volley) were plotted to the right of
T0. The succeeding lines in the raster
thus describe the unit firing before and after successive motor
commands. The symmetry of the plot arises because each PCN spike is
represented twice in the raster: once to the left of
T0 (if it occurred in the interval
preceding the current EMN volley) and once to the right of
T0 (if it occurred in the interval
after the current EMN volley). In this graphic representation, the
right-hand envelope of the raster may be interpreted as a sequential
plot of the EMN intervals.
For the unit activity illustrated, tonic firing frequency and the
length of the silent period after the EMN volley were both related to
the length of the inter-EMN interval (Fig. 6). When PCN unit firing
frequency was high, inter-EMN intervals tended to be short, and vice
versa (Fig. 5B). This behavior is quantified in Figure
6A, which shows a negative correlation between
inter-EMN interval length and PCN unit firing frequency. When the
electromotor command cycle length was >500 msec, a basal unit firing
frequency (0.03 kHz) appeared to have been reached.
The length of the inter-EMN interval was also correlated with the
latency of the first spike after T0
and thus with the duration of the post-EMN volley pause (Fig.
5B). However, the distribution of points in Figure
6B, showing the timing of the first PCN spike after
the EMN volley, suggests that there are two preferred pause lengths
(~45-60 and 65-75 msec), or two preferred inter-EMN intervals, rather than a continuous interdependent variation. Similar bimodal interval distributions are frequently observed in the naturally occurring electromotor rhythms (Teyssedre et al., 1987
).
The second type of unit recorded in PCN fired a burst of action
potentials during the slow positive wave of the PCN field potential
(Fig. 7A,B). At all other times such units were silent. Here
we associate the observation that in five short intracellular recordings made in the PCN, a large, two-component IPSP was present, which also coincided with the slow positive potential seen
extracellularly (Fig. 7C). It seems probable that this IPSP,
which inverted with intracellular injection of chloride ions, is
related to the action potential burst seen in the type 2 bursting units
described here. Together these events may reflect a corollary
discharge-driven inhibitory input to PCN.
In most units of this second type, the structure and timing of the
burst of action potentials was rather constant, although from one unit
to another the exact timing of the first spike of the burst and number
of spikes per burst differed (compare the three examples in Fig.
8A). For any given unit, the timing of the first
spike in each burst was remarkably constant. Later spikes showed more
variability, and the last two or three spikes of longer bursts were not
always present (Fig. 8A1-3,
histograms) thus producing bursts of varying duration. The
units illustrated in Figure 8 were recorded during EOD command firing
at a relatively low endogenous rate (Fig. 8B), and
under these conditions no correlation was found between inter-EMN
interval and first spike timing (Fig. 8C) or between
inter-EMN interval and burst duration (Fig. 8D).
For a fourth unit of this type, however, a relationship was found
between burst timing, burst structure, and inter-EMN interval (Fig.
9Ca-c). Figure 9A shows
that the timing of the spikes within this burst was less precisely
fixed than for the units illustrated in Figure 8. In addition, the
distribution of inter-EMN intervals for the period during which this
record was obtained (Fig. 9B) shows that the endogenous
rhythm of the electromotor command was faster than that illustrated in
Figure 8B and that most inter-EMN intervals fell
between 100 and 200 msec. In this case, the latency of the first spike
of the burst was negatively correlated with the inter-EMN interval:
when the first spike occurred earlier, the following inter-EMN interval
was longer (Fig. 9Ca). This negative correlation was more
highly significant for data from electromotor command cycles in which
the inter-EMN interval was <200 msec: the regression line for these
points is drawn in Figure 9Ca. Inter-EMN interval was less
closely related to first spike timing when electromotor command cycles
were >200 msec. Inter-EMN interval was also correlated with burst
duration and intraburst frequency (Fig. 9Cb,Cc), and this correlation was again only significant for data obtained from
cycles in which the inter-EMN interval was <200 msec.
PCN responses to electrosensory stimulation
An electrosensory stimulus played to the fish through electrodes
placed in the water evoked an electromotor response with an EMN volley
(T0) latency of 14-15 msec. In PCN,
the field potential that accompanied this evoked electromotor activity
was identical to that which occurred in association with intrinsic
spontaneous activation of the motor command (Fig.
10, compare A,
B). However, the electrosensory stimulation evoked specific,
additional unitary activity that preceded the first negative peak of
the PCN field potential (Fig. 10B, small arrow). A
single electrosensory stimulus at twice threshold strength evoked one
to three spikes with a variable latency between 8 and 14 msec (Fig.
10B,C). With repetition of the
sensory stimulus, the latency of the evoked electromotor response
increased (Fig. 10D), and after 8-10 trials the
motor response occasionally even failed, although the sensory evoked unit activity in PCN was nevertheless still present (Fig.
10C). This suggests that adaptation, or an increase in
threshold for the motor response, occurs at some other site.

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Figure 10.
Electrosensory-evoked unit activity in PCN.
A, Top trace, Spontaneous
electromotoneuron volley (average of 4 traces); bottom
traces, AC-coupled record of electromotor-related field
potentials (superimposed traces) recorded in PCN ( ) during
intrinsic spontaneous command of the electromotor rhythm.
B, Electromotoneuron volley (top trace,
average of 2 traces) evoked by electrosensory stimulation (large
arrow), which is accompanied (superimposed bottom
traces) by a fixed latency motor-related field potential
( ) in PCN identical to that in A, and by
preceding unitary activity with more variable timing (small
arrow). C, After several cycles of
electrosensory stimulation, the electromotor response adapted and did
not always occur. However, selected traces (n = 8)
show that the same electrosensory stimulus continued to evoke unit
activity in PCN even though the EMN volley was absent.
D, Plot showing that the latency of the EMN volley
evoked by successive electrosensory stimuli increased with successive
stimuli. Stimuli were delivered at intervals of ~1 sec, triggered by
a spontaneous EMN volley with a delay of 100 msec.
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Electromotor behavior evoked by stimulation in PCN
Electromotor activity could be evoked at short latency (~4-8
msec) by microstimulation in PCN. For brief depolarizing DC pulse stimuli (0.1 msec) given via the recording microelectrode, thresholds ranged from 0.4 to 1 µA in the center of the nucleus. However both
threshold and latency of the motor response depended on the time
elapsed between the stimulation pulse and the preceding EMN volley.
In the center of the nucleus an electromotor response to
microstimulation at twice threshold intensity was obtained with a latency of 4-5 msec, provided that the delay between the preceding EMN
volley and the stimulus was >50 msec (Fig.
11A, top
trace, B). At shorter EMN-stimulus intervals this short
latency motor response generally failed (Fig. 11A,
bottom trace, B), although in some cases,
depending on the stimulation site, increasing stimulus strength could
reduce the apparent "refractoriness" to 20-40 msec. When
stimulating in the center of PCN, no short latency response could be
evoked at EMN stimulus intervals <20 msec.

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Figure 11.
The electromotor pathway can be driven by
electrical microstimulation in PCN. A-D, Responses to
stimulation in the center of PCN. E-H, Responses to
microstimulation in the caudal region of PCN. A,
E, Records of EMN volleys. A single stimulus pulse (0.1 msec, twice threshold to evoke a response; A, E, open
arrow) was delivered through the recording electrode in PCN,
triggered at different delays after the EMN volley. The stimulus is
represented at time 0 in the peristimulus raster diagrams in
B and F. The timing of the preceding EMN
volleys, used to trigger the stimulus is shown to the left of zero in
B and F with a filled
square. In B and F, the first EMN
response after the stimulus is shown with a filled
circle, and the second response after the stimulus is shown
with an open diamond. D,
H, The distribution of spontaneous inter-EMN intervals
during this recording period. A-D, When the delay
between the EMN volley and the stimulus was >60 msec (A, top
trace), a short latency (~5 msec) electromotor response was
evoked. The short latency response frequently failed when the EMN
trigger-stimulus delay was <60 msec (A, bottom
trace, arrow). However, in the case of failure, the next EMN
volley always occurred in the period 50-80 msec after the stimulus. In
stimulus cycles in which a short latency EMN response did occur, the
next succeeding EMN volley also occurred at a rather fixed delay
between 80 and 120 msec (C, histogram). In stimulus
cycles in which the short latency response failed and the first
following EMN volley occurred with a latency of 50-80 msec, the second
EMN volley after the stimulus occurred at a variable delay that fell
within the range of inter-EMN intervals governed by the intrinsic
spontaneous electromotor command (D).
E-H, A short latency response (latency, 5 msec)
occurred when the delay was >60 msec. When the EMN trigger-stimulus
interval was reduced, a motor response could still be evoked, but with
a longer latency of ~20 msec (E, middle trace). The
shortest EMN-to-stimulus interval, after which a response could be
obtained to microstimulation at this site, was ~20 msec (E,
bottom trace, F). When the stimulus failed to evoke
either the 5 or the 20 msec latency EMN response, an EMN volley
occurred at ~80 msec after the stimulus (E, lower trace,
F). The second EMN volley after a stimulus again
occurred at a rather fixed latency of 80-100 msec (F, open
diamonds). The histogram in G shows a cumulated
summary of EMN timing after the stimulus (first responses in
black, second responses in open bars).
The distribution of the intrinsic, spontaneous command of inter-EMN
intervals for the recording period illustrated in E-G
is shown in H.
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Refractory periods to stimulation in PCN were shorter in the caudal
region of the nucleus, possibly because here some of the efferent axons
projecting to CN were being stimulated directly and the effects of
corollary discharge feedback inhibition (see below) were less strong.
In the example illustrated in Figure 11E-H, as the
interval between the preceding EMN volley and the stimulus was
deceased, a step change in the evoked EMN response latency, from ~5
msec to a more variable value between 20 and 25 msec was frequently
observed (Fig. 11E, compare top and
middle traces; see plots in Fig. 11F,G).
This bimodal distribution of the evoked motor response latency (Fig.
11G, black bars) produced a discharge pattern
similar to the alternating short intervals of rapid electromotor
behavior observed during active electrolocation and in social
encounters (Moller, 1970
; Bell et al., 1974
; Moller et al., 1989
).
Microstimulation in PCN also induced a regularization of the
spontaneous motor command rhythm. After a directly evoked short latency
motor response, there was a considerably higher than normal probability
that the next, subsequent EMN volley would occur after an interval of
100 msec (Fig. 11B,C, h, E,F, h'). In
addition, when the short latency evoked response failed because of
refractoriness, the first subsequent EMN volley occurred with a rather
constant latency of 70-80 msec (Fig. 11B,F,G). The
spontaneous intrinsic motor command rhythm then returned to the usual
irregular pattern and in both cases, the next subsequent inter-EMN
interval followed the same pattern of variability as the normal
spontaneous interval distribution (Fig.
11D,H). The phenomenon underlying this
regularization thus lasted for 100-200 msec, although its precise
mechanism is not yet known.
Stimulation in caudoventral sites, probably within the descending axon
tract leaving PCN in the direction of CN, could drive the electromotor
pathway at much higher rates, down to inter-EMN intervals of as little
as 4-5 msec. During such rapid repetitive activation of the
electromotor pathway, the rate-limiting factor appeared to be the
integrity of the triple action potential volley fired by the
electromotoneurons (Aljure, 1964
; Bennett et al., 1967
). At high firing
rates, the third action potential of the EMN volley tended to drop out,
and if the stimulus was repeated as a train, the EMN volley became
unsynchronized and disorganized.
In addition to brief electrical stimuli, we also used longer lasting DC
electrical stimuli to drive the electromotor system from within PCN.
Figure 12A shows that
electrode tip-positive stimulation with an intensity of 1.5 µA caused
a threefold tonic increase in EMN firing frequency. The absolute
magnitude of the increase in firing rate depended on stimulus
intensity. In contrast, tip-negative stimulation caused marked
transient increases in discharge rate at the onset and termination of
the stimulus pulse, but no tonic frequency increase during the DC
stimulus plateau (Fig. 12B).

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Figure 12.
The effects of DC electrical stimulation and
glutamate iontophoresis in PCN (2 different experiments).
A, Electrical stimulation via the recording
microelectrode, using constant current (1.5 µA) applied for several
seconds, caused a tonic increase in EMN firing frequency when the
electrode tip was positive. B, When the electrode tip
was negative, the onset and termination of the stimulus pulse provoked
a short-lasting phasic increase in EMN firing but no tonic response.
C, Iontophoresis of L-glutamate (electrode
tip negative, 0.5 µA) caused a tonic increase in EMN firing
frequency, on which spontaneous momentary increases in firing rate
could still be observed. The tonic level of the firing frequency
depended on the amount of injection current. D, When the
polarity of the iontophoretic current was inverted, no changes in EMN
firing rate were evoked at this site.
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Iontophoresis of L-Glutamate in PCN also caused a tonic
increase in EMN firing rate whose pattern resembled that evoked by DC
electrical stimulation. This effect was dose-dependent, and spontaneous
additional increases in firing rate could be superimposed on the
drug-induced response (Fig. 12C). The lack of any response to reversed polarity iontophoresis in the control trace of Figure 12D shows that the observed effect was caused by
L-Glutamate and not by current injection.
 |
DISCUSSION |
Our results confirm that in the mormyrid Gnathonemus
petersii, the bilateral midbrain precommand nucleus modulates the
activity of the electromotor command center and mediates both
sensory-based behavioral responses to environmental stimuli and
endogenously initiated social display patterns. We suggest that by its
position and functional role in the electromotor system, it is
functionally equivalent to midbrain premotor areas that have been
shown to modulate the activity of central pattern generators
controlling skeletal motricity and a variety of stereotyped motor
behaviors, in many vertebrates (Grillner et al., 1995
).
The origin of field potentials in PCN
Motor-related field potentials in PCN were linked in a one-to-one
manner, and with a fixed time relationship, to the command of the
electric organ discharge but occurred later than the two-peaked negative field potential recorded in CN. Because no large precommand field potential was recorded in PCN preceding activation of the CN, it
is concluded that PCN neurons do not fire in synchrony before
initiation of the EOD command and that the electromotor related field
potentials recorded in PCN do not represent events driving the
electromotor command. We suggest instead that they reflect
backpropagation of motor command activity or that they are evoked by
ascending corollary discharge activity (Bell et al., 1983
, 1995
).
The first and second negative peaks and the following slow
depolarization recorded in PCN probably have a different origin. It is
possible that the first negative peak, which occurs ~2.2 msec before
the EMN volley could be evoked via a collateral branch of the corollary
discharge pathway (Fig.
13A). BCA axons projecting to MCA almost certainly run through the dendritic field of PCN neurons
(Niso et al., 1989
) and could have been recorded in the present study,
although no BCA axon terminal field has yet been described in the
region of PCN (Bell et al., 1983
). However, the short delay between the
first negative peaks of the field potentials in CN and PCN (0.7 msec),
the lack of intrinsic sporadic firing in BCA axons (Clausse, 1985
), and
the apparent collision illustrated in Figures 3 and 4 make the validity
of this hypothesis unlikely. An input from CN, via BCA and MCA to PCN
can be excluded, because the onset of field potentials in PCN occurs
earlier than those in MCA.

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Figure 13.
Possible schemes of functional connectivity
to explain the genesis of electromotor-related events in PCN (see
Discussion for explanation). In A, it is suggested that
all motor-related events are the result of activity in the corollary
discharge pathway; this would depend on the presence of an
as-yet-undemonstrated collateral of BCA axons projecting toward the
PCN. In B, it is suggested that the first negative
motor-related field potential peak in PCN might be the result of
antidromic invasion of PCN axons after generation of the electromotor
command in CN. In both cases, nonsynchronized descending activity from
PCN to CN is integrated by the electromotor command neurons in CN.
VP, Ventroposterior nucleus of the torus
semicircularis.
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An alternative explanation is that the first negative peak recorded in
PCN is the result of backpropagation of action potentials in PCN axons
terminating on CN neurons that occurs at the moment when synchronous
firing of the whole CN neuron population generates the descending
electromotor command signal (Fig. 13B). This hypothesis is
supported by the occlusion of the fixed latency unitary potential coincident with the first negative peak of the PCN field potential, observed when spontaneous unitary spikes occur in the preceding 2-3
msec. Occlusion could be caused by collision of an orthodromic action
potential descending from PCN toward CN, with an ascending, antidromic
action potential evoked in the PCN axon on firing of the postsynaptic
CN neuron. This reasoning is supported by the observations of Elekes
and Szabo (1985)
, who showed that the majority of synapses contacting
command neuron somata form club endings containing gap junctions.
Although these authors did not use specific labeling to identify their
material, PCN axons constitute the major afferent pathway to the
command nucleus (Grant and von der Emde, unpublished observation) and
thus it is likely that their synaptic terminals are included in this
population and that there may be electric synaptic transmission between
PCN axons and CN neurons. The presence of gap junctions between PCN
axons and CN neurons is also suggested by dye-coupled labeling of CN
neurons observed after Neurobiotin deposit in PCN (von der Emde,
unpublished results).
Other explanations for the generation of the first negative peak in PCN
would require a hitherto unknown anatomical connection. It should be
noted that no direct anatomical projection has been described from CN
to PCN (Bell et al., 1983
; Grant et al., 1986
) and that insufficient
time would be available for trisynaptic or multisynaptic projections
from CN to PCN.
The origin of the second negative peak of the PCN field potential is
less clear. It cannot be a correlate of the second negative peak of the
CN field potential, which corresponds to the second action potential
fired by command neurons and always occurs at a fixed latency relative
to the EMN volley (Grant et al., 1986
). The second PCN negative peak
has a variable latency and is sometimes even absent. It seems probable
that this event reflects input from the corollary discharge pathway,
but as yet no possible anatomical pathway has been demonstrated.
The slow positive component of the PCN field potential occurred
with a fixed timing relative to the motor command signal (EMN) and was
only observed in the immediate post-command period. It is therefore
probably a corollary discharge-driven phenomenon, although the exact
anatomical connections involved have not yet been described. Again, it
is likely that this input to PCN arrives via a collateral branch of BCA
axons that pass close to PCN en route for the MCA, or that PCN receives
afferent connections from other corollary discharge associated nuclei
(Bell and von der Emde, 1995
).
The functional role of PCN
It is argued above that the field potentials recorded in PCN do
not reflect premotor activity in this nucleus. However, our results
show that many neuronal elements in PCN fire sporadically or tonically
over a large part of the EOD cycle, and it is probable that these are
the PCN cells that project to CN. The origin of such spontaneous
activity has not been explored, and we cannot conclude whether PCN
units might have an intrinsic pacemaker function, in addition to
integrating information afferent to the electromotor command chain. An
increase in the firing frequency of tonically firing units, or the
onset of sporadic firing in otherwise silent units, was frequently
associated with the generation of an EMN volley. Glutamate
iontophoresis also drove the EMN firing frequency, and this was
probably a result of direct stimulation of PCN neurons. Similarly,
electrosensory stimulation activated unit firing in PCN at the same
time that it provoked an EMN volley. Thus, it is likely that PCN
conveys many excitatory inputs to CN, although PCN neurons do not
generally fire as a synchronized ensemble. We suggest that descending
input from PCN is integrated at the postsynaptic level in CN. When the
result of this integration process is sufficient to activate CN neurons
beyond their firing threshold, initiation of the electromotor command
and the subsequent firing of the entire electromotor pathway follows.
As discussed above, the most probable explanation for the timing of the
first negative peak of the PCN field potential is that it is the result
of backpropagation from CN. The functional role of such backpropagation
is not clear, but we suggest that antidromic, synchronous invasion of
the whole population of PCN output cells projecting to CN would serve
as a potent resetting mechanism in the descending pathway.
The slow positive field potential associated with each electromotor
event is probably the result of synchronous input to PCN provided by
the corollary discharge-activated bursting units. The consequence of
this input may be the generation of large IPSPs in PCN neurons.
Somata of PCN cells are surrounded by large synaptic terminals that
show strong anti-GAD immunoreactivity (Niso et al., 1989
). Corollary
discharge inhibition of PCN may act as a rate-limiting, and resetting,
mechanism preventing the electromotor system from being driven too
fast. Modulation of the inhibitory corollary discharge feedback to PCN
may, in addition, play an important role in regulating the firing of
the tonically and/or intrinsically sporadically active neurons and thus
in the fine control of the length of the current inter-EOD cycle.
However, the results show that the corollary discharge IPSP generated
in PCN neurons does not alone decide the inter-EMN interval. Instead, the electromotor command rhythm probably depends on a regulated balance
of excitatory and inhibitory modulation of distributed intrinsic pacemakers.
Comparison with electromotor pacemaker systems of other
electric fish
Previous studies in gymnotiform electric fish (Heiligenberg et
al., 1981
, 1996
; Kawasaki et al., 1988
; Kawasaki and Heiligenberg, 1990
; Keller et al., 1991
; Metzner 1993
) and in the wave-emitting mormyriform, Gymnarchus niloticus (Kawasaki and
Heiligenberg, 1990
; Kawasaki and Yuang-Xing, 1996
), have identified
similar prepacemaker nuclei (PPN) of their electromotor systems. In
these fish, electromotor behavior is driven by the intrinsic regular rhythmic activity of the medullary pacemaker center. Descending pathways from PPN modulate this intrinsic pacemaker rhythm. In Gymnarchus and the pulse-emitting gymnotid
Hypopomus, stimulation of PPN causes interruption of the
EOD. In wave-type gymnotids, in which several subdivisions of the PPN
have been described, different stereotyped modulations of the highly
regular EOD emission have been attributed to activation of the
individual neuronal subpopulations. It is possible that further
detailed investigation of the precommand nucleus in G. petersii may reveal a similarly complex organization.
 |
FOOTNOTES |
Received Dec. 27, 1999; revised April 20, 2000; accepted April 27, 2000.
This work was supported by the French Centre National de la Recherche
Scientifique, the Deutsche Forschungsgemeinschaft (Em 43/4-1; Em
43/1-3), a Franco-Italian exchange fellowship to R.N., a
Franco-Uruguayan exchange fellowship to L.G., European
Commission contract number CI1*CT92 0085 to K.G., and the
Franco-German and Franco-Uruguayan exchange programs PROCOPE
(K.G. and G.v.d.E.) and ECOS (K.G. and L.G.). Some of the
experiments were conducted by G.v.d.E. at the Scripps Institute of
Oceanography (La Jolla, CA) in receipt of financial support from grants
made to the late Walter Heiligenberg. We are indebted to Dr. T. H. Bullock for his support and encouragement, Drs. C. Wong and J. Serrier
for their practical help in many respects, and Drs. C. Bell and H. Bleckmann for valuable discussion and constructive criticism of this manuscript.
Correspondence should be addressed to Dr. Kirsty Grant, Unité de
Neurosciences Intégratives et Computationnelles, Institut de
Neurobiologie Alfred Fessard, Centre National de la Recherche Scientifique 1, Avenue de la Terrasse, F-91198 Gif-sur-Yvette, Cedex,
France. E-mail: grant{at}iaf.cnrs-gif.fr.
 |
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