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The Journal of Neuroscience, November 15, 2002, 22(22):9961-9971
Firing Properties of Identified Interneuron Populations in the
Mammalian Hindlimb Central Pattern Generator
Simon J. B.
Butt,
Ronald M.
Harris-Warrick, and
Ole
Kiehn
Mammalian Locomotor Laboratory, Department of Neuroscience,
Karolinska Institutet, Stockholm S-171 77, Sweden
 |
ABSTRACT |
Little is known about the network structure of the central pattern
generator (CPG) controlling locomotor movements in mammals. The present
experiments aim at providing such knowledge by focusing on commissural
interneurons (CINs) involved in left-right coordination. During NMDA
and 5-HT-initiated locomotor-like activity, we recorded intracellularly
from caudally or descending projecting L2 and L3 CINs (dCINs) located
in the ventromedial area of the lumbar spinal cord in newborn rats.
This region is crucial for rhythmic motor output and left-right
coordination. The overall sample of dCINs represented a heterogenous
population with neurons that fired in all phases of the locomotor cycle
and exhibited varying degrees of rhythmicity, from strongly rhythmic to
nonrhythmic. Among the rhythmic, putative CPG dCINs were populations
that fired in-phase with the ipsilateral or with the contralateral L2
locomotor-like activity. There was a high degree of organization in the
dorsoventral location of rhythmic dCINs, with neurons in-phase with the
ipsilateral L2 activity located more ventrally. Spikes of rhythmically
active dCINs were superimposed on membrane oscillations that were
generated predominantly by synaptic input, with little direct
contribution from the intrinsic pacemaker hyperpolarization-activated
inward current. For both ipsilaterally and contralaterally firing dCINs the dominant synaptic drive was in-phase with the ipsilateral L2 motor
activity. This study provides the first characterization of putative
CPG interneurons in the mammalian spinal cord. Our results suggest an
anatomical and physiological separation of CPG commissural interneurons
in the ventral horn and demonstrate that it is possible to target
specific interneuron subpopulations in the mammalian locomotor network.
Key words:
commissural interneuron; locomotion; rhythmic; CPG; Ih current; 5-HT
 |
INTRODUCTION |
Vertebrate locomotor movements are
organized by local neuronal networks, known as central pattern
generators (CPGs), situated within the spinal cord. In swimming
vertebrates such as the Xenopus tadpole and the lamprey,
these CPG circuits have been characterized in some detail (Grillner et
al., 1995
; Roberts, 2000
). In these animals, swimming is mediated by
alternating left-right contraction of the segmental muscles,
propagated along the body with a rostrocaudal phase delay, resulting in
an undulating sinusoidal movement. The timing of the activity in the
bilateral motor pools is determined to a large extent by reciprocal
inhibition mediated by glycinergic commissural interneurons (CINs),
neurons whose axon crosses the midline. These CINs fire one or few
spikes per locomotor cycle in-phase with the ipsilateral motor root
discharge and so ensure that when CPG neurons on one side of the cord
are active, CPG neurons on the other side are inhibited (Buchanan 1982
;
Soffe et al., 1984
; Dale, 1985
; Soffe, 1987
; Buchanan and Kasicki,
1995
). At least part of the reciprocal inhibition is mediated by
caudally projecting CINs (Buchanan 1982
; Dale, 1985
; Buchanan and
Kasicki, 1995
; Soffe et al., 2001
).
Although the basic principles of CPG structure might be
phylogenetically preserved, it is evident that a layer of complexity must be added in limbed animals where the CPG is required to coordinate not only alternating movements between the left and right sides but
also flexors and extensors in each limb. Relatively little is known
about the network structure of the mammalian CPG, which to a large
extent is regarded as a "black box." Our present experiments in the
neonatal rat spinal cord aim to explore this black box by focusing on
the CINs involved in coordination of the left and right hemicords. The
fact that CINs have crossed projections makes them readily identifiable
by electrical stimulation. Initial experiments with neonatal rats have
shown that the ventromedial region of the lumbar spinal cord is crucial
for rhythm generation and left-right coordination (Kjaerulff and
Kiehn, 1996
; Kiehn and Kjaerulff, 1998
). This region contains four
anatomically defined populations of CINs: three populations have axons
that project intersegmentally over >1.5 segments, ascending (rostral)
CINs, descending (caudal) CINs (dCINs), or bifurcating
CINs (adCINs), whereas a fourth population projects
intrasegmentally over short ranges (Eide et al., 1999
; Stokke et al.,
2002
).
In this study, whole-cell patch recordings were performed from CINs
located in the L2-L3 segments with descending axons to the
contralateral L4-L5 region. These CINs were monitored during NMDA- and
5-HT-induced locomotor-like activity to provide an insight into the
functional role of interneurons in the mammalian hindlimb CPG.
Parts of this paper have been presented previously in abstract form
(Butt et al., 2001
).
 |
MATERIALS AND METHODS |
Dissection. Neonatal (postnatal day 0-4) Wistar rats
were used for all experiments, and the dissection was performed as
described previously (Kjaerulff and Kiehn, 1996
). Briefly, neonatal
rats were deeply anesthetized with either ether or isofluran (in
accordance with the stipulations of the local Animal Care Committee and
National Institutes of Health guidelines), decapitated, and
eviscerated. The isolated spinal cord extending from at least C1 to S2
was pinned ventral side-up in a recording chamber superfused with oxygenated (5% CO2 in O2)
Ringer's solution composed of (mM): 111 NaCl, 3.08 KCl, 25 NaHCO3, 1.18 KH2PO4, 1.25 MgSO4, 2.52 CaCl2, and 11 glucose. All experiments were performed at room temperature (20-23°C). In preparation for stimulating CINs with axons projecting caudally, the L4 and L5 segments were sectioned midsagitally up to the
level of the most rostral L4 rootlet. The left L4-L5 hemicord was then
cut caudally at the L5-L6 boundary and, after trimming away ventral
and dorsal roots, placed in a large-diameter stimulating suction
electrode (Fig. 1A). Although CINs with axons
projecting caudally include both a population of pure
dCINs and a population of adCINs (Stokke
et al., 2002
), we will for simplicity call this group dCINs in this
paper. A smaller-diameter suction electrode was placed on the L2 root
ipsilateral to the L4-L5 stimulating electrode and contralateral (cL2)
to the site of intracellular recording.
Electrical stimulation of the contralateral hemicord. dCINs
were identified by stimulating the contralateral L4-L5 hemicord at 1 Hz with 2 msec pulses up to 300 µA in amplitude (Isolator-11 stimulator; Axon Instruments). Strong stimulation of the L4-L5 hemicord resulted in sustained activity in the L2 ventral root (Fig.
1B). The threshold for such bursting (range, 30-267
µA) was termed the ventral root threshold (VRT) and provided a
measure of the relative intensity of stimulation between preparations.
Whole-cell tight-seal recording of ventromedial
interneurons. A small slit was cut into the pial surface of
segments L2-L3 (opposite to the side of L4-L5 stimulation), into
which the patch electrode (resistance, 5-8 M
, borosilicate glass;
Clark Electromedical Instruments, Pangbourne, UK) was lowered. Blind
whole-cell tight-seal intracellular recordings of interneurons were
performed in current-clamp mode (Axoclamp 2B; Axon Instruments).
Locomotor-like activity was evoked by perfusion with Ringer's solution
containing a combination of NMDA (6-8 µM) and 5-HT
(6-10 µM). Rhythmic burst activity in the cL2 ventral
root was recorded with a suction electrode and bandpass-filtered (100 Hz to 1 kHz). The following drugs were obtained from Sigma (St. Louis,
MO): D(
)-2-amino-5-phosphonopentanoic acid (AP-5),
6-cyano-7-nitroquinoxaline-2,3-dione disodium salt (CNQX),
and tetrodotoxin (TTX).
4-Ethylphenylamino-1,2-dimethyl-6-methylaminopyrimidinium chloride (ZD
7288) was obtained from Tocris.
Calibration of recording locations. A counter on the
microdrive was used to determine the ventral-dorsal depth of the
recorded dCIN. The counter was zeroed on contact with the surface of
the slit. Once recording was completed, the electrode was retracted and
then lowered to the point of contact on either side of the slit. The
average of these two values provided a measure of the depth to the
initial point of contact within the slit. The distance to the midline
was measured using the x-y scale on the
micromanipulator stand. Both ventral depth and distance to midline were
corrected for the angle of the micromanipulator with respect to the
surface of the cord, which was kept constant throughout all the experiments.
To provide an indication of the error involved in such calculations,
seven interneurons were labeled with 0.2% Lucifer yellow, and the
spinal cords were sectioned transversely. Measurement of these filled
neurons revealed that the initial measurement of the distance from the
midline was incorrect laterally on average by 88 ± 13 µm (SEM),
and the depth from the surface of the cord was incorrect in either
direction by on average 61 ± 27 µm. Where recognizable in the
transverse slices, the depth of the slit in the spinal cord was 98 ± 8 µm (n = 6). The interneuron positions in Figure
2C were not corrected for these values.
Protocols for identifying the hyperpolarization-activated inward
current. Under control current-clamp conditions, 58 dCINs were
stimulated at 0.25 Hz with 800 msec hyperpolarizing and depolarizing current pulses. The effect of the hyperpolarization-activated inward
current (Ih) was detected in the slow
depolarizing voltage sag during steady-state hyperpolarizing current
injection at membrane potentials typically more negative than
70 mV.
More detailed analysis of the biophysical properties of
Ih was performed under voltage-clamp
conditions (see below). However, for initial comparison between dCINs
under current-clamp conditions, the voltage sag (from the most
hyperpolarized point to the end of the current step) was determined at
the maximal potential closest to
110 mV. The current amplitude was
adjusted during ZD 7288 application to correct for the increased input
resistance observed with this drug (Kiehn et al., 2000
).
Voltage-clamp analysis of Ih. For
voltage-clamp analysis, neurons were typically maintained in normal
Ringer's solution. Neurons were held at -50 mV and given a series of
1.5 sec steps from -60 to -130 mV in 5 mV increments. In general, the
series access resistance was within 20-40 M
. The currents measured
were typically small (200-300 pA at peak; see Fig.
6D), so the estimated error attributable to
uncorrected series access resistance was <10 mV (with the cell less
hyperpolarized than the pipette voltage) and was not corrected. The
liquid junction potential was within the range of 6-8 mV (with the
cell more hyperpolarized than the pipette voltage) using the
intracellular and extracellular solutions (Kjaerulff and Kiehn, 2001
).
This was also not corrected because of the uncertainty of complete
replacement of the contents of the cell by the intracellular solution
of the electrode.
Data analysis. The locomotor pattern was analyzed off-line
using DATAPAC 2000 version 2.41 (RUN technologies Co., Laguna Hills, CA) with the exception of the circular plots, which were calculated as
described by Kjaerulff and Kiehn (1996)
and plotted in Excel (Microsoft, Redmond, WA). Summary statistics report the mean ± SEM unless otherwise specified. p values with the exception
of those for circular statistics (see below) were calculated using Student's t test.
Datapac analysis. For histograms of instantaneous spike
frequency, the boundaries of each locomotor cycle were defined as being
from the onset of a cL2 ventral root burst to the onset of the
following burst. The threshold for spike events was normally set at 0 mV. To average intracellular dCIN membrane oscillations during
locomotion, cL2 ventral root recordings were rectified, filtered
(Butterworth filter, 100 Hz; rolloff, 5) and linear-smoothed with a
time constant of 100-200 msec. dCIN intracellular recordings were
filtered (Butterworth filter, 10 Hz; rolloff, 5) to remove fast
transients such as spikes. The signals were averaged with respect to
cL2 activity (for a minimum of 20 cycles) using the dual normalized
function (1% increment, 50% break point).
Circular plots. Circular statistics were performed to
ascertain the significance of the coupling between dCIN firing and the locomotor-like activity in the cL2. The latency (Kjaerulff and Kiehn,
1996
) to each spike was measured relative to the duration of the
contralateral ventral root burst to give the phase value
. The mean
of 25
was calculated using the formula outlined by Kjaerulff and
Kiehn (1996)
to give a vector, the direction of which represents the
preferred phase of firing of the neuron and the length of which,
r, represents the tuning of the spikes around their mean.
The onset of the cL2 burst was set as 0.0. Because
was calculated
relative to cL2 activity, vectors with a direction in the range of
0.0-0.5 corresponded approximately to cells firing in-phase with the
cL2 and out-of-phase with the iL2. The cessation of cL2 bursting
occurred approximately halfway through the cycle (0.5 on the circular
plots), although there was a degree of variability in the duty cycle.
For the presentation of individual results the mean and SD of the end
of the cL2 burst are shown; however, for pooled vector data, it was
assumed to approximate 50% of the cycle. p values for the
significance of r were taken from Zar (1974)
.
Analysis of Ih. Current amplitudes
were measured from single exponential fits of the data performed in
Clampfit version 8.1 (Axon Instruments), extrapolated back to the
beginning of the hyperpolarizing step and forward to approximate the
steady state at 2 sec. Currents were converted to conductance using a reversal potential for Ih
(VRev) of -33 mV, which has been
measured previously in neonatal rat spinal neurons (Takahashi, 1990
;
Kjaerulff and Kiehn, 2001
). The conductance-voltage data were fit to a
first-order Boltzmann relationship of the form:
where g is the conductance,
gmax is the maximal conductance,
VAct is the voltage of
half-activation, and s is the slope factor. The kinetics of
activation were measured at
125 mV, at which the current was well
developed in all cells. The current was fit to a single-exponential
relationship of the form:
where IAct is the amplitude of
the current,
Act is the time constant of
activation, and C is an offset constant. Attempts were made
to fit the data with a double-exponential relationship, but this did
not improve the fit.
 |
RESULTS |
Identification and initial characterization of dCINs
Ninety-nine dCINs were identified by stimulation of antidromic
action potentials from the contralateral L4-L5 hemicord (Fig. 1A). All-or-nothing
antidromic potentials were elicited in dCINs at constant latencies
(range, 4.4-15.2 msec) by stimuli over the range of 21-312 µA
(mean ± SEM, 103 ± 6.2 µA), corresponding to a mean VRT
of 1.4 × VRT. Subthreshold stimulation (typically <1 × VRT) of the contralateral L4-L5 evoked short-latency PSPs in 72% of
dCINs. A significant amount of these neurons received low-threshold, short-latency EPSPs or a mix of a short-latency EPSP followed by an
IPSP (Fig. 2Ai). To
confirm the antidromic nature of the spike and to prove that the spikes
were not driven indirectly by EPSPs, supramaximal concentrations of the
excitatory transmitter antagonists CNQX (30 µM)
and AP-5 (20 µM) were coapplied. After 5-6
min, evoked EPSPs and polysynaptic IPSPs (see EPSP "hump"; Fig.
2Aii, arrowhead) were completely abolished
(Fig. 2Aiii). In some instances, a
voltage-independent, CNQX- and AP-5-resistant potential was observed at
subspike thresholds, indicative of electrical coupling between dCINs
(Kiehn and Tresch, 2002
). Spikes that persisted in the presence of
these antagonists were deemed to be attributable to direct stimulation
of the commissural axon. We further confirmed this by measuring the
ability of an orthodromic spike (generated by a 2 msec current pulse, 1 Hz frequency applied 15-40 msec before antidromic stimulation) to
collide with and abolish the antidromic spike (Fig.
2B). Reducing the latency between the orthodromic spike (Fig. 2B, a) and the control
antidromic spike (b) first resulted in an initial segmental
spike (c) and then a complete elimination of the antidromic
spike (d).

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Figure 1.
Experimental setup. A, Schematic of
the lumbar region of the neonatal rat spinal cord and the setup used to
investigate the locomotor properties of dCINs. Suction electrodes were
placed on the contralateral L4-L5 hemicord for electrical stimulation
of caudally projecting axons, and on the cL2 to record ventral root
activity. The patch electrode (dCIN) was lowered
into a slit made in the ventral surface of L2-L3. B,
The intensity of L4-L5 stimulation was increased manually (top
trace). At higher levels, the stimulation
(stim.) caused sustained activity in the cL2 ventral
root (lower trace). The threshold for such activity, as
indicated by the dashed line, was termed the VRT.
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Figure 2.
Identification of dCINs in the lumbar region by
the presence of an antidromic action potential.
Ai-Aiii, The top traces show the raw
data superimposed, and the bottom traces show the
averaged trace. Ai, EPSP-IPSP evoked at low stimulus
levels (<1 × VRT) in a neuron subsequently identified as a dCIN
by the presence of an antidromic spike (Aii,
Aiii). Antidromic spikes were elicited at a short,
constant latency (Aii). The hump in the spike, as
indicated by the arrowheads in Aii, is
the subthreshold EPSP that was abolished on incubation with 20 µM AP-5 and 30 µM CNQX
(Aiii). B, Collision test to verify the
antidromic nature of the spike. a, Orthodromic spike
elicited by a 2 msec suprathreshold depolarizing current pulse;
b, antidromic spike; c, initial segment
spikelet; d, complete abolition of the antidromic action
potential. C, Location of neurons recorded from in the
ventromedial area (as indicated by the box,
inset) of L2-L3. Black squares, Caudally
projecting dCINs; white squares, non-dCINs.
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Using these tests, we found that 34% (99 of 294) of the neurons
recorded were dCINs with axons projecting at least to the contralateral
L4-L5 segment. These dCINs were located throughout the ventromedial
area sampled (Fig. 2C). Before addition of
locomotor-inducing drugs, they had a mean resting potential of
49.3 ± 0.8 mV (n = 99), and 36% of them
spontaneously fired action potentials. The conduction velocity of these
neonatal dCINs, calculated for the direct distance from the recording
site to the edge of the L4-L5 stimulating electrode, had an average
value of 0.22 ± 0.01 m/sec (n = 99; range,
0.10-0.59 m/sec). This is probably an underestimate of the normal
conduction velocity in vivo, because the axons do not
project diagonally to the cL4-cL5 but travel over a longer distance
(Eide et al., 1999
; Stokke et al., 2002
), and all experiments were
performed at room temperature instead of 37°C (Oro and Haghighi, 1992
; Andersen and Moser, 1995
). In addition, the neonatal rat preparation is immature relative to adults.
Activity of dCINs during NMDA- and 5-HT-induced locomotion
To determine whether the dCINs were potential components of the
hindlimb CPG, we measured their firing patterns during locomotor-like activity. Previous work has shown that locomotor-like activity can be
induced by perfusion with a combination of 5-HT and NMDA (Cazalets et
al., 1992
; Kiehn et al., 1996
; Iizuka et al., 1997
), expressed as
coordinated rhythmic bursting activity between the two sides of the
cord and along the cord. In the present experiments, locomotor-like
activity was observed as rhythmic bursting in the L2 ventral root
contralateral (cL2) to the site of the intracellular recording (iL2).
Application of locomotor drugs typically resulted in a significant
depolarization of the dCIN membrane potential (by 6.5 ± 0.6 mV;
n = 84) and an increase in spike firing or modulation of spontaneous firing (Fig.
3A). We found that dCINs
exhibit a broad range of activities during locomotion. We have divided
this continuous spectrum into three broad classes of dCINs on the basis of their firing pattern during NMDA and 5-HT: (1) highly rhythmic firing, often driven by pronounced oscillations in membrane potential, which were phase-related to cL2 ventral root bursting (Fig.
3Bi); (2) broadly tuned but rhythmically firing neurons with
less distinct oscillations in membrane potential (Fig. 3Ci);
and (3) dCINs that appeared to fire randomly with respect to cL2
bursting and that exhibited little or no underlying rhythmic
oscillations in membrane potential (Fig. 3Di). Individual
dCINs were monitored for a period of at least 10 min during
locomotor-like activity. To determine the phase relationship of dCIN
firing, we normalized the phasing of spike activity for 50 cycles of
stable cL2 activity with respect to the onset of the cL2 burst. To
provide a measure of instantaneous spike frequency, the normalized
cycle periods were subdivided into 10 equal bins, the first five
representing approximately the phase of cL2 bursting and the last five
approximately equivalent to the iL2 phase (see Materials and Methods).
Examples for the three categories of dCIN as represented in histogram
form are shown in Figure 3Bii-Dii. The graphs give an
indication of the spike tuning for a sustained period of ~2-3 min.
The variability in the cL2 duty cycles within this time is represented
by the error bar (±SD) below the x-axis; the end point of
the cL2 burst was within one bin (10%) of the 50% duty cycle.

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Figure 3.
Most dCINs are rhythmic during NMDA- and
5-HT-induced locomotor-like activity. A, Application of
NMDA and 5-HT to the isolated spinal cord resulted in rhythmic
locomotor-like activity in the cL2 (top trace) and a
depolarization and rhythmic firing observed in the dCIN (bottom
trace). Calibration: 20 mV, 24 sec. B-D,
Analysis of the activity of the three types of dCIN during
locomotor-like activity. Highly rhythmic hS-dCINs
(B) were characterized first, on the basis that
they exhibited pronounced oscillations in membrane potential
(bottom trace, Bi; calibration, 40 mV)
during locomotor activity (top trace,
Bi). Second, their spikes were also locked to a specific
phase as revealed by the spike frequency histogram of 50 locomotor
cycles (Bii, top trace). Third, the
circular plot vector for 25 spikes as shown by the bold
arrow in the bottom trace of Bii
was highly significant (p < 0.001). The
duration of cL2 bursting is indicated in Bii-Dii by the
gray bars (±SD; n = 50) under the
histogram and the gray segment in the
circular plot. C, Rhythmic S-dCIN
that preferentially fires out-of-phase with cL2 activity.
p values for S-dCINs were in the range of 0.001 < p < 0.05 (Cii, bottom
trace). D, Nonrhythmic NS-dCIN with spikes not
locked to any particular phase of the locomotor cycle and with
p > 0.05 (Dii, bottom
trace). In all subsequent plots, hS-dCIN data
are shown in dark gray; S-dCIN data are light
gray; and NS-dCIN data are white.
E, Distribution of dCIN r values
(n = 84). F, Analysis of the
instantaneous firing frequency exhibited by the three classes of
dCIN.
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To provide a statistical measure of the spike tuning, spikes from every
10th cycle were analyzed using circular statistics (Kjaerulff and
Kiehn, 1996
). The preferred phase of firing is indicated by the
direction of the vector, and the length describes the sharpness of the
spike tuning around that point. The three broadly defined classes of
dCIN described above could now be defined quantitatively as follows:
(1) highly significantly (p < 0.001) tuned
firing corresponding to highly rhythmic cells (n = 32)
(Fig. 3Bii, bottom); (2) significant (0.001 < p < 0.05) tuning similar to category 2 of the rhythmic
dCINs (n = 29), with spikes throughout the cycle but a
clearly preferred phase of firing (Fig. 3Cii, bottom); and
(3) nonsignificant tuning with cells firing throughout the cycle and no
significant preferred phase of firing (p > 0.05), corresponding to nonrhythmic dCINs (n = 23)
(Fig. 3Dii, bottom). Henceforth, we will refer to the
categories of dCIN as highly significant (hS), significant
(S), and nonsignificantly (NS) rhythmic cells.
A plot of r values with respect to number of dCINs (Fig.
3E) revealed a broad distribution similar to that previously
published for unidentified L2 neurons (Tresch and Kiehn, 1999
) and
illustrates that although we have divided the dCINs into hS,
S, and NS categories, the overall sample represents a continuum of
rhythmicity. Interestingly the overall percentage of rhythmic dCINs
(73% hS- and S-dCINs) is similar to the value reported
previously for unidentified interneuron populations in the ventromedial
area (Kiehn et al., 1996
; Tresch and Kiehn, 1999
; Raastad and Kiehn,
2000
). Additionally, the average instantaneous firing frequencies of
the three classes of dCIN during locomotor-like activity (Fig.
3F) are comparable with those reported previously for
unidentified L2 and L5 neonatal rat interneurons (Tresch and Kiehn,
1999
, 2000
; Raastad and Kiehn, 2000
). Although there was a trend for
increased firing frequencies in hS and S neurons over NS
neurons, this was not statistically significant (p = 0.12).
These results demonstrate that the set of CINs defined anatomically on
the basis of axonal projections is heterogeneous with respect to firing
properties during locomotor-like activity. The next section will show
that rhythmically active cells can be further subclassified on the
basis of their preferred phase of firing in the locomotor cycle.
Preferred phase of firing of rhythmically active dCINs
During locomotion, the iL2 alternates with the iL5 and with the
cL2, and the iL2 and cL5 burst in-phase (Kiehn and Kjaerulff, 1996
;
Iizuka et al., 1997
). The L2 burst reflects predominantly flexor
activity, whereas the L5 burst mainly corresponds to extensor activity
(Kiehn and Kjaerulff, 1996
). It is therefore of interest to determine
whether the L2 dCINs fire mostly in-phase with the ipsilateral,
predominantly flexor L2 root or are active throughout the locomotor
cycle and, hence, important for the transmission of information to the
contralateral L4-L5 on both flexor and extensor phases. Furthermore,
we wished to determine whether both broadly tuned S-dCINs and more
finely tuned hS-dCINs shared similar distributions of firing
phase. This analysis will give us further insights into the possible
function of the dCINs in the CPG.
The two rhythmic cells shown in Figure 3, B and
C, have their preferred peak of firing in-phase with the iL2
(bins 6-10) and out-of-phase with the cL2 bursts (bins 1-5). This
phasing was defined as ipsilateral firing. However, a number of dCINs
fired in-phase with the cL2 activity, defined as contralateral firing. Within the total sample of dCINs recorded during locomotor-like activity, 61 significantly rhythmic (hS and S) neurons had
their preferred phases of firing distributed throughout the locomotor cycle, but not equally so (Fig.
4A). Sixty-four percent
of them fired with their peak of activity in-phase with the ipsilateral L2 bursts, whereas only 36% showed predominantly contralateral firing.
A plot of the preferred phase of firing of dCINs by type revealed that
>50% of the hS-dCINs fired in the final third of the
ipsilateral L2 burst just at the peak of the iL2 burst (bin 8) and
before the transition to the cL2 burst (bin 9) (Fig.
4Ai). This subset of hS neurons may be
described as "transition neurons." The other hS
interneurons fired at all other phases but predominantly just before or
during the iL2 burst. In contrast, within the S-dCINs, most (62%) fire
just before onset (bin 5) or at the midpoint (bins 7-8) of iL2
activity. For the contralaterally firing neurons, there was a less
distinct pattern in preferred firing phase.

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Figure 4.
Rhythmic dCIN populations with distinct
ventral-dorsal locations exhibit differing phase relationships.
A, Plot of dCIN circular statistic vectors over a
locomotor cycle showing the distribution preferred phases of firing in
rhythmic dCINs (hS-dCINs, Ai; S-dCINs,
Aii). The small black arrowheads above
the histograms indicate the bins containing most dCINs
for each group. The dashed lines indicate the
approximate transition points from contralateral bursts (cL2) to
ipsilateral burst (iL2) (0.5) and from iL2 to cL2 (1.0).
B, distribution of contralaterally firing
(gray squares), ipsilaterally firing
(black circles), and nonrhythmic (white
circles) dCINs in the transverse plane of the lumbar spinal
cord (the area magnified as shown in the inset).
C, Histogram of the percentage of each cell type at a
given depth (color coding as for B).
Numbers shown above the bar graphs
indicate the size of the sample at each depth. Memb.,
Membrane.
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Because we did not use dual reference in our analysis (Berkowitz
and Stein, 1994
) the cL2-iL2 and iL2-cL2 transitions are only
accurately determined if the duty cycle is 50%. The variability in the
duty cycle is therefore an important factor when considering the
timing. To test how much variability of the duty cycle affected our
classification, cL2 duty cycles were calculated during the locomotor
runs for 10 hS-dCINs (five ipsilaterally and five
contralaterally firing). The average duty cycle was 57 ± 7%
(SD), and in all cases analyzed, the r vector derived from
the circular statistics accurately reflected the phase of the dCINs.
Our data show that most rhythmic (hS and S) dCINs fire at
the midpoint and toward the end of the ipsilateral L2 dominating flexor
burst, which occurs synchronously with the contralateral dominating
extensor L5 burst.
dCIN subpopulations show a distinct
ventral-dorsal distribution
It became apparent during our experiments, as more dCINs were
identified, that we could preferentially target either ipsilaterally firing or contralaterally firing dCINs by selecting cells at either shallow or deep locations below the ventral surface, respectively. A
plot of the locations of all dCINs based on their preferred phase of
firing confirmed that cells firing rhythmically in-phase with their own
ipsilateral side are preferentially located closer to the ventral
surface than those that fire contralaterally (Fig. 4B). Nonrhythmic cells tended to occur in greater
numbers at more dorsal locations. This overall distribution became even
more apparent when plotted as a histogram of the percentage of the
three types of dCINs at each depth: ipsilaterally firing dCINs were
primarily found <200 µm below the surface, whereas contralaterally
firing dCINs peaked at 200-300 µm. NS-dCINs increase in proportion
the more dorsal the location (Fig. 4C). Thus, it appears
that there is an anatomical separation of rhythmically active dCINs
that may subserve different functional roles in the locomotor network.
Synaptic drive contributes to the rhythmicity of dCIN firing
As mentioned previously, hS-dCINs often displayed
pronounced oscillations in membrane potential during the locomotor
cycle, similar in nature to the locomotor drive potentials described previously in neonatal rat motor neurons (MNs) (Hochman and Schmidt, 1998
; Kiehn et al., 2000
). To characterize these oscillations further,
the underlying membrane potential of dCINs was normalized and averaged
with respect to cL2 bursting, the raw data having been filtered to
remove spikes. Figure 5Ai
shows examples of the normalized voltage oscillations for an
hS-dCIN (bold line) and an NS-dCIN (thin
line) at similar average membrane potentials. Even NS-dCINs often
exhibited a distinct oscillation in membrane potential, although of low
amplitude compared with the hS and S-dCINs. Figure
5Aii shows the relationship between the action potential
rhythmicity of the cell (reflected in r values from circular
plots) and the amplitude of the membrane potential oscillations in 77 dCINs analyzed at 0 bias. There was a clear positive correlation between rhythmicity and membrane oscillation amplitude, suggesting that
intrinsic properties, the rhythmic pattern of synaptic drive onto
dCINs, or both are the principle determinants of rhythmic output rather
than spikes being driven by a few precisely timed EPSPs (Beierholm et
al., 2001
).

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Figure 5.
Locomotor-related membrane oscillations of dCINs
reflect synaptic input. Ai, Averaged membrane
oscillation of an hS-dCIN (bold line,
bottom traces) and NS-dCIN (thin line,
bottom traces) with respect to the normalized and
rectified cL2 cycle (top panel).
Aii, Relationship between r value and
average membrane oscillation (at 0 bias for a minimum of 20 cL2 cycles;
n = 77). B, Membrane oscillations at
different holding potentials for two different dCINs
(Bi, Bii). Top traces show
the normalized cL2 cycle, with the gray area
corresponding to the ipsilateral L2 phase. Lower traces
show the averaged, 10 Hz filtered intracellular recordings for 2 dCINs.
Zero bias is indicated by the asterisk next to the
membrane potential. The peak is indicated by the arrows.
Bi, Neuron in which the phase of the peak reverses when
hyperpolarized beyond the reversal potential for
Cl . Bii, Cell with increased
oscillation amplitudes at more hyperpolarized levels.
Ci, Plot (black squares) of relative
amplitude of the peak-trough oscillation at varying membrane
potentials for the example shown in Bi. Note the sign
reversal when the cell is hyperpolarized. Cii, Example
of three dCINs driven predominantly by excitation: a,
mixed AMPA and NMDA components (squares);
b, mainly AMPA-driven (triangles); c,
mainly NMDA-driven (circles). D,
Distribution of average membrane oscillation for different membrane
potential (in bins of 10 mV) ranges in neurons that are driven
predominantly by inhibition and firing in-phase with the contralateral
root (Di) and dCINs that receive phasic excitatory input
and are firing in-phase with the ipsilateral root
(Dii).
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It has been shown previously that lumbar motor neurons and unidentified
interneurons can be driven by phasic excitation alternating with
inhibition during locomotion (Raastad et al., 1997
; Hochman and
Schmidt, 1998
). However, motor neuronal and interneuronal voltage
oscillations can also be shaped by rhythmic inhibition acting on a
background of tonic excitation or by rhythmic excitation alone. To
determine to what extent both inhibitory and excitatory inputs are
responsible for the rhythmic voltage oscillations of these
interneurons, 14 dCINs (eight out-of-phase with the cL2 burst and six
in-phase) were stepped to varying membrane potentials beyond the
calculated reversal potential for chloride (
71 mV). Fifty percent of
the dCINs tested showed clear reversal of the peak phase when
hyperpolarized beyond approximately
71 mV and an increase in
amplitude of oscillation when depolarized from resting potential (Fig.
5Bi,Ci). This is consistent with the membrane oscillation
being driven to a significant extent by rhythmic inhibitory input
riding on a tonic excitatory (synaptic or intrinsic) drive. The
oscillations in the remaining seven neurons did not reverse, suggesting
that this population of cells received less rhythmic inhibitory drive
relative to the rhythmic excitatory input (Fig. 5Bii,Cii).
Two of these dCINs showed an increase in amplitude of the oscillations
at more hyperpolarized levels, suggesting that the rhythmic drive is
dominated by AMPA-type receptor-mediated EPSPs whose driving force is
increased with hyperpolarization. Three cells showed flat membrane
potentials at voltages more hyperpolarized than
70 mV, suggesting
that these cells might be driven primarily by an NMDA receptor-mediated
EPSP, which is inactive at these hyperpolarized voltages. The remaining
two cells showed a slower decrease in amplitude with hyperpolarization,
which never disappeared, suggestive of a mixed NMDA-AMPA excitatory
profile (Fig. 5Cii).
We then studied whether the sign of the predominant synaptic drive onto
dCINs was related to either the ipsilateral or contralateral L2 ventral
root phase. This analysis (Fig. 5D) revealed that the oscillations of five of the six cells that fired in the contralateral phase (i.e., with cL2) were shaped primarily by inhibitory rhythmic inputs (Fig. 5Di). These dCINs thus receive rhythmic
inhibitory input during the ipsilateral motor neuron burst. In
contrast, six of eight dCINs that fired ipsilaterally received
predominantly rhythmic excitatory input (Fig. 5Dii), again
during the ipsilateral motor neuron burst. Thus, in both cases, the
predominant synaptic input onto the dCINs occurred in-phase with the
ipsilateral L2 motor pool activity.
Characterization of Ih in dCINs
Intrinsic pacemaker currents can regulate rhythmic firing in both
vertebrate and invertebrate preparations (Marder and Calabrese, 1996
;
Kiehn et al., 1997
) and could play an important role in driving the
underlying membrane potential oscillations observed in rhythmic dCINs.
Ih is one such pacemaker current and
has been characterized previously in lumbar motor neurons of the
neonatal rat spinal cord (Takahashi, 1990
; Kiehn et al., 2000
;
Kjaerulff and Kiehn, 2001
). Of 58 dCINs tested under current-clamp
conditions, all but one exhibited a discernible slow depolarizing sag
in voltage during square hyperpolarizing current steps and a slowly
decaying rebound depolarization after the termination of the pulse
(Fig. 6Ai,C). These
phenomena are indicative of Ih slow
activation and deactivation. The threshold for detection of the voltage
sag was at potentials more negative than
70 mV (Fig.
6Aii). Application of ZD 7288 (50 µM for 20 min; n = 3), a known
and selective blocker of the motor neuron
Ih (Kiehn et al., 2000
; Kjaerulff and
Kiehn, 2001
) completely abolished the sag (Fig. 6B,C,
arrow) and the rebound depolarization at the end of the
current step (Fig. 6C, arrowhead). It also caused
an increase in resting input resistance and a slight hyperpolarization
of the membrane potential.

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Figure 6.
Characteristics of the dCIN
Ih. A, Intracellular
recording from S-dCINs showing a voltage sag (Ai) in
response to current injection and a depolarizing rebound after
termination of the current pulse. Data of the average
Ih-induced sag amplitude ± SE from
three control I-V trials are shown in
Aii. B, Effect of 20 min
incubation with 50 µM ZD 7288. Note the decrease in size
of the injected current steps. C, Effect of ZD 7288 shown by comparison of averaged data for three runs at the most
hyperpolarized step (control, bold line; ZD 7288, thin line). The control sag is indicated by the
arrow, and the rebound depolarization is indicated by
the arrowhead. Di, Activation of
Ih measured under voltage-clamp conditions.
Five millivolt steps were applied between 60 and 130 mV from a
holding potential of 50 mV. Dii, Distribution of
Gmax (maximal conductance) for 24 dCINs.
Ei, Analysis of Act revealed two
discrete populations in the sample: short Act
(gray) and longer (black)
Act dCINs. The plot shows voltage versus
normalized conductance for the both populations of Act, same color code as for
Ei. Note that the dCINs with longer Act
have their activation curves shifted to a more hyperpolarized level
than those with short Act.
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These current-clamp data were confirmed by voltage-clamp measurements
of Ih in 24 dCINs. As was seen in the
current-clamp data, all 24 dCINs had a detectable
Ih. Figure 6Di shows
typical currents activated from a holding potential of -50 mV with 1.5 sec steps between -60 and -130 mV. In parallel with the depolarizing sag voltage seen in current clamp, a very slowing activating inward current is detected at voltages below
70 mV. With increasing hyperpolarizations, the current grew in amplitude and was activated more rapidly. The maximal conductance was estimated from first-order Boltzmann fits to the current data after conversion to conductance, using VRev of
33 mV (Kjaerulff and
Kiehn, 2001
). The average maximal conductance for the 24 neurons was
0.79 ± 0.05 nS, but the distribution was not normal (Fig.
6Dii); most neurons had maximal amplitudes of
0.5-0.75 nS, but a few neurons had much larger
Ih amplitudes. To verify that there
was no inward rectifying current in dCINs, which could complicate the
analysis of our data (Kjaerulff and Kiehn, 2001
),
Ih in eight neurons was measured in
normal Ringer's solution and then in Ringer's solution with 300 µM BaCl2 (to block inward
rectifying potassium channel currents) and 0.25 µM TTX (to block sodium currents and greatly
reduce synaptic inputs). There was no significant difference in the
parameters of Ih measured in these
ways, and subsequent measurements were made in normal Ringer's solution.
The kinetics of activation were measured at -125 mV, at which
Ih was well developed. The curves were
well fit by a single-exponential relationship and were not improved by
a double-exponential fit. Analysis of the time constant,
Act, gave evidence for heterogeneity in the
Ih between the cells (Fig.
6Ei). Twenty of the 24 cells had shorter
Act values, ranging from 394 to 759 msec (mean
value, 568 ± 24 msec; gray graph bars).
However, four neurons had significantly longer
Act values, ranging from 1262 to 1572 msec
(mean value, 1377 ± 83 msec; black graph bars;
p < 0.001 when compared with the main group). At more
depolarized, physiological potentials,
Act
kinetics become considerably slower (Kjaerulff and Kiehn, 2001
).
Boltzmann analysis of the voltage dependence of
Ih activation supported the hypothesis
of heterogeneity of Ih in different dCINs (Fig. 6Eii). The 20 neurons with short
Act displayed a broad range of voltages for
half-activation (VAct), with a mean of
95.3 ± 2.3 mV. However, the four neurons with slow
Act were all activated at significantly more
hyperpolarized voltages, with a mean VAct of
-105.3 ± 1.6 mV (range, -102 to -109 mV). This difference was
again highly significant (p < 0.005). The
populations of cells with fast and slow
Act
did not differ in the slope of the Boltzmann relationship (11.9 ± 0.75 vs 11.9 ± 1.50 mV, respectively; p > 0.99)
or in the maximal conductance of the currents (0.75 ± 0.18 nS in
the rapid
Act group vs 1.03 ± 0.39 nS in
the slow
Act group; p > 0.5).
In conclusion, all dCINs displayed an
Ih. Furthermore, voltage-clamp
experiments suggested that at least two classes of
Ih are found in different dCINs. In
the next analysis, we tested whether
Ih plays a role in shaping the
rhythmic spike output in individual dCINs.
Ih does not contribute significantly to
dCIN rhythmicity
Comparison of the Ih-evoked
voltage sag recorded under current-clamp conditions between
hS-dCINs (n = 18), S-dCINs
(n = 25), and NS-dCINs (n = 15)
revealed that there was no significant difference in the amplitude of
sag at a holding potential of
110 mV (Fig. 7Ai). In fact, the
Ih-evoked voltage sag of rhythmic
cells is less than that of NS-dCINs, suggesting that this current might play a different role than actively generating the underlying voltage
oscillations in these neurons.

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Figure 7.
Amplitude of Ih is not
related to rhythmicity but to firing frequency. Ai, Plot
of the average Ih-induced sag amplitude for
the three different classes of dCIN as measured under current-clamp
conditions (hyperpolarizing step to 110 mV). Aii,
Scatterplot showing the insignificant relationship between
Gmax and rhythmicity (r) in seven
neurons recorded under voltage-clamp conditions. B,
Distribution of the Ih-induced sag amplitude
measured under current-clamp conditions for different ranges of firing
frequencies in rhythmic dCINs.
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To test this idea, seven neurons whose
Ih had been measured under
voltage-clamp conditions were analyzed for rhythmicity in NMDA and 5HT,
as described previously. Three of these neurons were significantly
rhythmic in-phase with the contralateral L2 root activity
(p < 0.05; S-dCINs), whereas four were not
(NS-dCINs). None of these cells had a slow
Act, so the sample only represents the fast
Act group. As seen in Figure 7Aii,
there was no significant relationship between the degree of rhythmicity
and the maximal conductance of Ih for
these cells (R2 for linear
fit = 0.23; p > 0.5), and the S-dCINs tended to
have smaller maximal conductance than the NS-dCINs. These data are consistent with the larger series from the current-clamp data and
suggest that Ih does not play a major
role in determining the rhythmic firing pattern of dCINs.
Ih amplitude does not relate to
rhythmicity as determined by circular statistics; however, it was of
interest to determine whether this current shows any relationship to
firing frequency. As demonstrated for motor neurons in this preparation
(Kiehn et al., 2000
), Ih has extremely
slow kinetics near the resting potential and can contribute a
relatively tonic depolarizing current to enhance spike activity. To
test this, the Ih induced sag voltage of rhythmic dCINs was compared with their firing frequency at 0 bias
during locomotion. Three arbitrary frequency ranges were defined: low
(0.0-0.5 Hz; n = 7), medium (0.5-1.0 Hz;
n = 18), and high firing frequency (
1.0 Hz;
n = 21). There was a significant increase in the size
of the Ih-evoked sag between low- and
high-frequency-firing and also between medium- and
high-frequency-firing dCINs (p < 0.05) (Fig.
7B). This suggests that Ih,
as previously suggested, contributes a tonic depolarizing conductance
at membrane potentials at which dCINs are rhythmically modulated during locomotion.
 |
DISCUSSION |
Our investigation is the first comprehensive intracellular study
of putative CPG interneurons in the developing mammalian spinal cord.
The caudally projecting dCINs recorded in this study are located in the
rhythm-generating areas of the neonatal rat spinal cord. Within this
group, most of the cells exhibited significant rhythmicity, whereas
fewer were nonrhythmic. The significantly rhythmic dCINs could be
additionally divided into subpopulations on the basis of whether their
preferred phase of firing was with the ipsilateral or contralateral
motor pools. An important finding from this classification was that the
division of rhythmic dCINs based on their phase relationship is
reflected in their location in the transverse ventral-dorsal plane;
cells in-phase with the cL2 occupy a more dorsal location than those
in-phase with iL2. An additional finding is that rhythmicity of dCINs
is generated to a significant extent by synaptic input, with little or
no contribution to the rhythmicity per se from the endogenous pacemaker
current, Ih. Furthermore, the rhythmic
activity of the two distinct phase-related subpopulations is driven by
different sources of synaptic input that appear to be temporally
correlated to the synaptic input driving the ipsilateral motor neurons.
The ventromedial area: a kernel for left-right coordination
The neurons presented in this study are located in the
ventromedial area of lumbar segments 2 and 3, an area known from both activity-dependent labeling studies and microlesion experiments to be
important for rhythmogenesis (for review, see Kiehn and Kjaerulff,
1998
). Thirty-four percent of the neurons studied in this area had
contralateral axons descending at least to L4-L5. We know from
previous labeling studies that pure ascending and descending CINs
constitute ~30% each of the total CINs in the ventromedial region,
whereas bifurcating (with both ascending and descending axons) and
intrasegmental CINs constitute ~20% each (Eide et al., 1999
; Stokke
et al., 2002
). Thus, dCINs and adCINs
with caudally projecting axons represent ~50% of the total number of
CINs in the ventromedial area. Supposing that we record with equal
probability from all neurons in the ventromedial area (Kiehn et al.,
1996
; Raastad et al., 1998
), ~68% are thus likely to be CINs in this
area of the cord. This remarkably high number, and the fact that almost
three-quarters of the recorded dCINs were rhythmically active, raises
the possibility that the ventromedial area represents a kernel of
neurons fundamental for the coordination of rhythmic left-right
hindlimb activity in the neonatal rat. In the discussion below, we will
focus on the rhythmically active dCINs, because it is not easy to
define a role for the 27% of nonrhythmic NS-dCINs.
Comparison with rhythmic CIN populations in other vertebrates
Although there is a wealth of information on the overall
structure, our understanding of the mammalian spinal CPGs at the cellular and network levels is still superficial (Kiehn et al., 1997
).
Using afferent stimulation to characterize CPG neurons, some progress
has been made in defining locomotor circuits in the spinal cord of the
decerebrated or spinalized cat in vivo (for review, see
Hultborn et al., 1998
). However, this characterization has proved to be
difficult, and so far no CPG neurons have been defined with certainty
in the cat. In the present study, we have therefore focused on a
readily identifiable group of cells. Using an in vitro
preparation, the electrophysiological properties of the neurons could
be studied in detail.
The limited understanding of locomotor CPG networks in the mammalian
spinal cord stands in contrast to the considerable amount already known
about the locomotor CPGs of a number of aquatic vertebrates, notably
those of the Xenopus tadpole and lamprey. In particular, in
these preparations, the CINs play an important functional role, using
reciprocal inhibition to maintain the alternating phase relationship
between bilateral motor pools (Soffe et al., 1984
; Dale, 1985
; Buchanan
1999
) (for review, see Buchanan and McPherson, 1995
; Buchanan, 1996
;
Roberts, 2000
). In both animals, CINs fire either a single or only a
few spikes per locomotor cycle related to very specific phases (Soffe
et al., 1984
; Dale, 1985
; Buchanan and Kasicki, 1995
). This is in
contrast to mammalian dCINs. Preliminary studies in the cat (Carr et
al., 1994
; Matsuyama and Mori, 1998
; Huang et al., 2000
) and the
present study clearly show that rhythmic CINs fire multiple spikes
during locomotor-like activity. In addition, we have shown here that
the dCINs fire over the complete range of phases in the cycle. Clearly
the CIN system in mammals is more complex than reported previously in lower vertebrates.
Putative functional role of dCINs
We can begin to speculate on the roles of the rhythmically active
dCINs on the basis of their preferred phase of firing. During locomotion, ipsilateral iL2 flexor bursts are in-phase with
contralateral cL4-cL5 extensor bursts to promote alternating movement
of the limbs (Kiehn and Kjaerulff, 1996
). Figure
8 shows that dCINs that fire
predominantly in-phase with iL2 (bins 6-10; 0.5-1.0 on the circular
plot) should excite cL4-L5 extensor MNs, whereas dCINs that fire
in-phase with the cL2 (bins 1-5; 0.0-0.5 on the circular plots)
should inhibit cL4-L5 extensor MNs. In this way, the iL2 flexor and
cL4-L5 extensor activity is bound together into a functional unit by
both excitatory and inhibitory activity in the dCINs. It is known that
the L2-L3 segment also contains some extensor-related MNs, whereas
L4-L5 also contains some flexor-related MNs (Nicolopoulos-Stournaras and Iles, 1983
; Kiehn and Kjaerulff, 1996
, and references therein). This would mean that some dCINs that fire in-phase with iL2 inhibit cL4-L5 flexor motor neurons (which fire out-of-phase with the iL2
flexor MNs) and that some dCINs that fire in-phase with the cL2 excite
L4-L5 flexor MNs. In this way, the iL2 extensor and the cL4-L5 flexor
activity will be bound together. Future experiments looking at the
actual synaptic effects of the different dCIN classes on L4-L5 motor
neurons will test these predictions.

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Figure 8.
Hypothetical model for the role of rhythmic dCINs
during locomotor-like activity. A, The phase
relationship of dCINs can be related to not only the recorded cL2
activity (black trace) but also to the likely activity
of the ipsilateral motor pool (iL2; top gray
trace) and target MNs (cL5; bottom gray
trace). The expected role of the L2-L5 dCINs is shown in the
bottom trace and expanded in B.
Exc, Phase of predominantly crossed iL2 to cL5
excitatory information; Inhib, phase of mainly
inhibitory information. The gradient of the line, positive
(+ve), negative ( ve), or 0, reflects
the prevalent drive provided by CINs. Numbers at the
bottom reflect the bins for the average firing frequency
histograms such as those in Figure 3Bii-Dii.
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In this context, the ventral-dorsal distribution of ipsilaterally and
contralaterally firing dCINs becomes important, showing that the dCINs
can be anatomically separated along the dorsal-ventral plane on the
basis of their function. Our arbitrary binning of neurons into depths
of 100 µm (Fig. 4B) is unlikely to reflect the true
patterns. However, it allows us to specifically record from either
ipsilaterally or contralaterally firing dCINs with a reasonable degree
of accuracy depending on the depth of the electrode. It remains to be
seen whether this organization is true for other commissural
interneuron subtypes located in the ventral horn.
The preferred phase of firing of most dCINs was in-phase with the iL2
in bins 7 and 8 (Fig. 4B). One can envisage a role
for the broadly tuned but rhythmic firing of these "midphase" cells to stabilize the cL4-L5 extensor MN bursts and to define their burst
duration. dCINs firing in the midphase of cL2 could have a similar
effect on the bursts in cL4-L5 flexor MNs. Such a stabilizing role is
in contrast to that of the "transition" cells firing at the
cL2-iL2 and iL2-cL2 transitions (Fig. 3B). These cells
might be specialized to determine the exact timing of switching between extensor and flexor phases, as suggested previously (Edgerton et al.,
1976
; Wheatley et al., 1994
; Tresch and Kiehn 1999
). Of course this is
a simplistic view, and our data show that dCINs are active in all
phases of the locomotor cycle. Such a broad distribution of preferred
phases of firing has also been found in previous studies of
unidentified interneurons in the ventromedial area (Tresch and Kiehn,
1999
; Raastad and Kiehn, 2000
), suggesting that the locomotion phase is
determined by population coding (Tresch and Kiehn, 2000
).
Factors influencing rhythmic discharge of CPG interneurons
Evidence from the experiments in which the cells were held at
various holding potentials indicates that the rhythmicity is shaped to
a significant extent by synaptic input, either predominantly excitation
in the case of ipsilaterally firing dCINs or predominantly inhibition
in contralaterally firing cells. It is unlikely that these excitatory
and inhibitory inputs operate in complete isolation; rather, they are
likely to exist in varying proportions (Raastad et al., 1997
; Hochman
and Schmidt, 1998
). The fact that many contralaterally firing dCINs
receive a predominantly inhibitory drive during the ipsilateral motor
neuron burst suggests a level of complexity in the timing of excitatory
and inhibitory inputs that is not seen in the lamprey or
Xenopus tadpole spinal cords, where inhibitory input is only
seen during the contralateral motor neuron bursts.
Because the pacemaker current (Ih) is
present in nearly all dCINs, we sought to determine whether this
current was involved in generating rhythmic activity. There was
heterogeneity in the voltage and kinetic parameters of
Ih in different dCINs. This may
represent differential expression, or coexpression, of the four genes
(HCN1-4) that encode Ih with somewhat
different parameters (Santoro et al., 2000
; Chen et al., 2001
).
Ih in dCINs is activated very slowly
compared with neonatal rat spinal motor neurons, which activate in a
biexponential manner (Kjaerulff and Kiehn, 2001
). The fact that there
was no difference between the amplitude of Ih in rhythmic active and nonrhythmic
cells suggests that Ih does not play a
major role in shaping membrane oscillations in dCINs. The extremely
slow time constant for activation even at very hyperpolarized voltages
would also preclude such a role. However, there was a strong positive
correlation between Ih amplitude and
spike frequency in dCINs. It therefore appears that for rhythmic dCINs,
Ih most likely acts as a tonic
depolarizing leak conductance to enhance the firing frequency, a role
similar to that previously proposed for lumbar neonatal rat motor
neurons (Kiehn et al., 2000
).
Conclusions
Our results reveal a high degree of organization in the mammalian
hindlimb CPG. The ability to target specific interneuronal subpopulations, even at the general level of phasing with ipsilateral or contralateral L2 flexor-related activity, is a considerable step
forward in determining the overall function of the locomotor network.
Further analysis of synaptic drive and endogenous properties is likely
to reveal subtle differences between subpopulations, reflecting their
differing inputs and roles in the CPG. Developing such knowledge is
fundamental to our understanding of locomotion and neural circuits in general.
 |
FOOTNOTES |
Received June 28, 2002; revised Aug. 28, 2002; accepted Sept. 3, 2002.
This work was supported by National Institutes of Health (NIH) Grant
1R01NS40795-01 and a grant from Karolinska Institutet (O.K.). R.M.H.-W.
was supported by NIH Senior Postdoctoral Fellowship NS42405-01. We
thank Ole Kjaerulff for participating in initial experiments.
Correspondence should be addressed to Ole Kiehn at the above address.
E-mail: Ole.Kiehn{at}neuro.ki.se.
Dr. Harris-Warrick's present address: Department of Neurobiology and
Behavior, Cornell University, Ithaca, NY 14852.
 |
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