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First published online February 1, 2008
Journal of Experimental Biology 211, 613-629 (2008)
Published by The Company of Biologists 2008
doi: 10.1242/jeb.006270
Recruitment in a heterogeneous population of motor neurons that innervates the depressor muscle of the crayfish walking leg muscle
Université de Bordeaux, Centre de Neurosciences Intégratives et Cognitives (CNIC), CNRS, UMR 5228, Bâtiment B2 Biologie Animale, Avenue des Facultés, 33405 Talence Cedex, France
* Author for correspondence (e-mail: d.cattaert{at}cnic.u-bordeaux1.fr)
Accepted 17 December 2007
| Summary |
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Key words: cell morphology, electrophysiology, locomotion, posture, reflex, confocal microscopy
| INTRODUCTION |
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Early work by Henneman and his colleagues showed that the recruitment order
was strongly correlated with the amplitude of the extracellular spike recorded
from the motor axons – neurons with small spikes are recruited before
neurons with large spikes (Henneman et
al., 1965
). These observations lead to the `size principle', which
states that recruitment order is related to an index of the relative size of a
motor neuron such as its extracellular spike amplitude or conduction velocity
(Bawa et al., 1984
). The `size'
of a motor neuron is correlated with a number of pre- and postsynaptic
parameters that influence its susceptibility to fire. Since the original
formulation of the size principle, many parameters such as motor unit force,
unit type (e.g. slow twitch versus fast twitch) and fatigability of
the neuromuscular junction have been found to covary and to be correlated with
recruitment order (Zajac and Faden,
1985
).
There are many differences between neuromuscular control in invertebrates
and vertebrates. For example, in invertebrates skeletal muscles are generally
innervated by both excitatory and inhibitory motor neurons and single muscle
fibers may receive polyneuronal innervation
(Atwood, 1967
;
Atwood and Dorai Raj, 1964
;
Bullock and Horridge, 1965
;
Kennedy and Davis, 1977
).
Despite these differences, the motor systems of invertebrates and vertebrates
appear to share many common characteristics. Although the size principle was
originally discovered in vertebrates, it applies equally well to
invertebrates. In the crayfish swimmeret system, as the frequency of swimmeret
beating increases, the requisite increase in muscle force is mediated by an
orderly recruitment of motor neurons
(Davis, 1969
;
Davis, 1971
). Similarly in the
stick insect, motor neurons that cause slow muscle contraction (slow motor
neurons) are recruited earlier during the stance phase of walking than the
fast motor neurons (Gabriel et al.,
2003
).
In the present study, we took advantage of the relatively small size (12
excitatory motor neurons) of a pool of motor neurons innervating the depressor
muscle in the crayfish walking leg to determine whether or not the size
principle applies to this population. We first examined recruitment among a
subset of motor neurons that reach firing threshold in response to sensory
input from a proprioceptive organ
(Cattaert and Le Ray, 2001
;
Clarac et al., 2000
;
El Manira et al., 1991
;
Le Ray et al., 1997a
;
Le Ray et al., 1997b
). We
found that neurons with small extracellular spikes are more susceptible to
fire than motor neurons with medium or large spikes, indicating that there is
an orderly recruitment of motor neurons. Since the majority of the motor
neurons do not reach firing threshold in response to sensory input, we then
classified all the motor neurons using a combination of anatomical and
physiological criteria, including properties that have been classically
associated with recruitment order such as extracellular spike size and
conduction velocity. The data show that there are seven distinct classes of
depressor motor neurons. The differences between these classes are not merely
quantitative, but qualitative. According to the size principle, quantitative
differences in motor neuron size and the strength of synaptic input are
necessary to prevent the motor neurons from being activated in lockstep, but
qualitative differences are not necessary. Thus, while the depressor motor
neurons follow the size principle in general, they exhibit a degree of
heterogeneity that is greater than one would predict based on this principle
alone. We speculate that the high degree of heterogeneity may be related to
the fact that the depressor muscle is complex (it consists of two bundles that
share a single insertion but have multiple origins).
| MATERIALS AND METHODS |
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Preparation
Crayfish were anesthetized by placing them on ice. The ventral nerve cord
was then removed together with the 5th walking leg and pinned dorsal side up
in a SylgardTM (Dow Corning, Wiesbaden, Germany) lined Petri dish
(Fig. 1A). The 4th and 5th
ganglia were desheathed to increase the passive diffusion of oxygen from the
saline and permit intracellular recordings. The preparation was maintained at
15°C by means of a Peltier cell and was perfused with fresh saline
containing (in mmol l–1) 195 NaCl, 5 KCl, 13
CaCl2, 2 MgCl2 and 3 Hepes, adjusted to pH 7.65.
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Recordings and electrical stimulation
The muscles that control the second joint of the leg (the coxo-basipodite)
were dissected out and stainless steel wire electrodes were placed in contact
with the corresponding nerves (Fig.
1B). These electrodes were isolated from the saline bath with a
VaselineTM/paraffin oil mixture (10:1). The differential extracellular
signals were amplified 2000–10 000-fold and filtered (high-pass 30 Hz,
low-pass 30 kHz, 50 Hz notch filter) using Grass Instruments AC preamplifiers
(West Warwick, RI, USA). The bath solution was grounded using a small silver
plate that was chlorided using chlorine bleach. Stimulation of nerves was done
using a programmable pulse generator (Master-8, A.M.P.I., Jerusalem, Israel)
and a stimulus isolation unit (A.M.P.I.).
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)
and an Axoclamp-2B amplifier (Axon Instruments, Foster City, CA, USA). Signals
were monitored using a Yokogawa digital oscilloscope (Tokyo, Japan) and were
stored using an analog-to-digital converter and analyzed using Spike2 software
(both by Cambridge Electronic Design, Cambridge, UK). We confirmed that recordings were made from depressor motor neurons either by injecting depolarizing current steps into the main neurite and then recording the time-locked orthodromic extracellular spikes in the depressor nerve or by stimulating the depressor nerve while recording antidromic spikes intracellularly. The extracellular spike waveform was unique for each motor neuron and was quite constant over the course of an experiment; therefore, we were able to identify the spikes of a number of motor neurons based on the shapes of their extracellular spikes. We used a template-matching program included in the Spike 2 software that groups together spikes of similar waveform. There are a number of difficulties with this method. One type of error groups together spikes from two or more neurons that have spikes that are similar in shape; another considers the spikes from a single neuron as coming from two or more neurons. We were aware of these types of errors and each data set was carefully examined by eye to minimize these errors. In addition, in most experiments one-to-one correspondence between extracellular spike shape and the spike of an individual neuron was confirmed by successive intracellular recordings of the majority of the neurons. Orthodromic delay was measured from the peak of the intracellular spike to the first peak or trough of the extracellular spike (spikes were either bi- or triphasic).
Sensory-motor circuit studied
The depressor motor neurons receive sensory input from a proprioceptive
organ called the coxo-basipodite chordotonal organ (CBCO). This organ consists
of an elastic strand of connective tissue that is attached proximally to the
dorsal edge of the coxopodite and distally to the base of an apodeme at the
proximal-dorsal edge of the basipodite
(Fig. 1A). Embedded within this
strand are about 40 sensory neurons that project to the ipsilateral neuropil
and make mono- and polysynaptic connections with the depressor motor neurons
(El Manira et al., 1991
;
Le Bon-Jego and Cattaert,
2002
). Half of the CBCO sensory neurons are activated when the
CBCO strand is stretched, while the other half are activated when the band is
released (El Manira et al.,
1991
). Thus, this proprioceptive organ monitors movements of the
limb in the vertical plane. In the in vitro preparation a pin holds
the proximal end of the CBCO while movements are imposed by a mechanical
puller to its distal end (Fig.
1B). In the intact animal, upward movement of the leg releases
tension on the CBCO strand whereas downward movement increases tension.
Therefore, in the in vitro preparation, upward leg movement is
mimicked by releasing the tension on the CBCO strand, while downward movement
is mimicked by stretching the strand.
The reflex response properties of a depressor neuron were characterized by stretching the elastic strand of the CBCO. The proximal end of the CBCO was pinned to the SylgardTM dish, while the soft cuticle near the distal end was pinned to a needle, and movements were applied using an electromagnetic puller VT 101 (Ling Dynamic Systems, Meudon-la-forêt, France). To ensure that the CBCO was not damaged during the dissection, we recorded from the CBCO nerve and only used preparations with robust sensory neuron activity in response to imposed movements of the CBCO strand. In order not to damage the CBCO during the experiment, stretch movements were applied starting from the most released position of the CBCO strand, and the total amplitude of the movement was one third of the released CBCO strand length (1–1.8 mm). The movement control voltage traces were visualized on an oscilloscope and stored on computer.
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Anatomical methods
Neurons were injected with either 5% dextran tetramethylrhodamine (3000
molecular mass, Molecular Probes, Carlsbad, CA, USA) in 0.2 mol
l–1 potassium acetate, with the electrode shank filled with 2
mol l–1 potassium acetate, or 5% Lucifer Yellow
(Sigma-Aldrich, St Louis, MO, USA) in distilled water, with the electrode
shank filled with 2.5 mmol l–1 LiCl. Neurons were injected
for 1 h using square-wave pulses (500 ms duration at 1 Hz). Good results were
obtained by injecting +10 nA for 5% dextran tetramethylrhodamine and –10
nA for 5% Lucifer Yellow. Ganglia were fixed overnight at 4°C in 4%
paraformaldehyde in a 0.2 mol l–1 phosphate buffer solution
(pH 7.4), dehydrated in series of ethanol solutions of ascending strength (30,
50, 70, 95%, 10 min each; 100%, 2 times, 30 min each), cleared in methyl
salicylate (Sigma-Aldrich), and mounted in Permount (Fisher Scientific,
Illkirch, France). The ganglia were then imaged using a confocal microscope
(Olympus Fluoview BX51, Tokyo, Japan) and the resulting digital images were
analyzed using Neurolucida software (MicroBrightField Inc., Williston, VT,
USA).
Depressor motor neurons were labeled retrogradely by placing the cut end of the depressor nerve in a pool of 0.5% dextran tetramethylrhodamine (3000 molecular mass, Molecular Probes) in distilled water separated from the surrounding saline solution by VaselineTM. The preparation was left for 48 h at 4°C and then processed in the same manner as for intracellular injections.
To make nerve cross sections the depressor nerve was dissected out and fixed in 4% glutaraldehyde and 3% paraformaldehyde in sodium cacodylate buffer 0.4 mol l–1 at a pH of 7.4 during 18 h at 4°C. Then after rinsing in cacodylate buffer, the nerve was post-fixed in 1% osmium tetroxide. After a second rinsing in cacodylate buffer the nerve was dehydrated in an alcohol series (50%, 75%, 95% and 2x100%; 15 min in each), and embedded in araldite. Semi-thin slices (1 µm thick) were cut with an ultra microtome (Reichert OMU3, Rondebosch, South Africa) and then cleared in toluene and placed on a glass slide. After evaporation (50°C), they were stained with a mixture (50%–50% in volume) of Methylene Blue (1% in sodium borate solution) and Azur Blue (1% in distilled water), then observed under a light microscope and photographed.
Analysis of circular data
The arithmetic mean of circular data is inappropriate to summarize data in
which phase values fall near the beginning and end of the linear scale (e.g.
the arithmetic mean of 0° and 360° is 180°). Given that
is
the direction and that n is the number of observations and that each
vector is of unit length, the solution is to calculate the vector mean
direction (
):
![]() | (1) |
sin
and C=
cos
. The mean
length (
) of the resulting vector is:
![]() | (2) |
varies between 0 and 1. The
closer the value is to 1 the closer the data are clustered in terms of
. In Fig. 3 another
measure of the variance, the standard deviation, is shown. This value was
calculated as the standard deviation of the distance between each
and
with the maximum possible
distance being 180°. All phase values are expressed as being between 0 and
1 rather than 0° to 360°.
Statistical methods
The significance of differences between groups was determined using a
one-way analysis of variance (ANOVA). Pairwise multiple comparisons were done
with the Tukey test. P values <0.05 were considered to be
significant. All error bars represent the standard deviation (±
s.d.).
| RESULTS |
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To quantify this type of data we made raster plots in which depressor motor neuron spike times were expressed in terms of phase of the movement stimulus. Examples from three different animals are shown in Fig. 3. In these examples, although the smallest spike occurs throughout each movement cycle, the mean phase occurs during the release phase of the imposed movement (see Materials and methods for the calculation of mean spike phase and s.d.). In contrast, the medium and large spikes are generally less active throughout the cycle, with the mean phase also occurring during the release phase and the majority of spikes occurring during the release phase.
To test the idea that neurons that fire more spikes tend to have their spikes spread out throughout the movement cycle (i.e. small spikes), whereas neurons that fire fewer spikes have spikes that are more tightly clustered (i.e. medium and large spikes) we plotted the mean vector length against the mean number of spikes for 18 neurons from six preparations (Fig. 3D). The mean vector length is a measure of the degree to which the phases of all spikes of a neuron are similar. If one imagines each spike to be represented by a phase value (an angle) and a vector of unit length, then the mean vector length may vary between 0 and 1 with a value of 1 corresponding to spikes that are clustered at a single phase value and a value of 0 arising from either an even distribution of phase values or from clustered phase values that are diametrically opposed (e.g. 0 and 180°; see Materials and methods for details). We found a strong correlation between the mean number of spikes per cycle and the mean vector length (the R2 value of an exponential fit was 0.718).
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In compiled data from five preparations, there was no significant difference between the mean phases of the small, medium and large spikes (Fig. 4). All three types of spikes had mean phase values between 0.25 and 0.30. We found that small spikes have a significantly shorter mean vector length than medium and large spikes, while there was no significant difference between the mean vector lengths of medium and large spikes. Despite large standard deviations, we also found a significant difference in the mean number of spikes per cycle between small spikes (72.8±72.6) and large spikes (9.3±11.7) (n=6). There was no significant difference between the mean number of small spikes and medium spikes (22.2±27.5) or between the mean number of medium spikes and large spikes. Although there is no discrete break in activity of motor neurons with small spikes, they can be considered to be recruited earlier and derecruited later than neurons with medium or large spikes. Thus, the quantification of these data supports the idea of orderly recruitment of depressor motor neurons.
It should be noted that in the examples presented above only a minority of the neurons within the pool of depressor neurons were active. Indeed, as mentioned above, most depressor motor neurons were silent during stimulation of the CBCO by movement. These silent neurons receive excitatory input from the chordotonal organ sensory neurons but were not sufficiently depolarized to reach spike threshold. It is possible that these neurons may also be recruited in an orderly manner, but there is no way to stimulate them strongly enough through sensory input to cause them to spike.
Total number of depressor motor neurons
In the absence of a way to stimulate all depressor motor neurons to reach
spike threshold, we decided to classify the depressor motor neuron, based on
their anatomical and physiological properties and to characterize parameters
that have been classically associated with recruitment order such as
extracellular spike amplitude and conduction velocity. We first wished to
determine the total number of motor neurons. We used two different techniques.
In the first technique, we cut the depressor nerve and placed it in a pool of
fluorescent dye (rhodamine dextran) in order to retrogradely label the cell
bodies of the depressor motor neurons (see Materials and methods). In the
example showed in Fig. 5A, 13
somata were labeled. In compiled data from 14 preparations the mean number of
filled cell bodies was 10.2±2.1. It is possible that motor neurons with
very small diameter axons may not have been well labeled. Nevertheless, this
technique sets the lower limit on the number of depressor motor neurons to be
about 13 (the high-end number observed in three backfill experiments). A
similar technique using a cobalt dye also gave an estimated number of
depressor motor neurons of 13 (El Manira
et al., 1991
).
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Criteria used for classification of depressor motor neurons
Anatomy
To analyze the population of depressor motor neurons in more detail, we
impaled them with dye-filled sharp electrodes and recorded their responses to
imposed movement of the CBCO strand and to electrical stimulation of the CBCO
nerve. A typical experiment is shown in
Fig. 6. We impaled a depressor
motor neuron in its thick neuritic branch within the posterior-lateral
quadrant (see Fig. 5A for an
explanation of quadrants). After characterizing the response properties of
this neuron, it was filled with rhodamine and its processes were traced from a
digital file created with a confocal microscope (see Materials and methods).
The neuron was identified unequivocally as a depressor motor neuron by either
stimulating the depressor nerve to evoke antidromic spikes or by injecting
depolarizing intracellular pulses to evoke orthodromic spikes, and looking for
a one-to-one correspondence between intracellular and extracellular spikes
(see Materials and methods). We always recorded from neuritic branches within
the posterior-lateral quadrant of the neuropil. Since the main neuritic branch
within this quadrant leads directly to the axon and the spike initiation zone
is presumably located in the proximal axonal segment, the synaptic potentials
recorded from this vantage point should be weighted in a manner that
accurately represents information that is functionally important.
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Reflex response
This particular depressor motor neuron shows a response that is
subthreshold but consistent with a resistance reflex. In response to
sinusoidal movements it depolarizes during the release phase and repolarizes
during the stretch phase (Fig.
6B). In addition, a ramp-and-hold stimulus protocol was also used
(Fig. 6Ci). To make clear that
the ramp is truly a ramp and not a step, an expanded view of the ramp-and-hold
stimulus and the corresponding neuronal response is shown in
Fig. 6Cii. As with the
sinusoidal stimulus, the motor neuron depolarizes only during the release
phase. The ramp-and-hold stimulus is useful for determining whether the change
in membrane potential represents a coding of movement or joint position. This
depressor motor neuron appears to receive excitatory postsynaptic potentials
(EPSPs) coding mainly for movement, since most of the potential decays
immediately after the end of each rapid ramp. There is, however, a small
component of the response that is long lasting; therefore, the neuron may be
considered to be phaso-tonic. During movement, the membrane potential
depolarizes relative to the resting membrane potential (dotted line,
Fig. 6B,Ci,Cii). Thus, it is
possible to infer that the input to this neuron is primarily excitatory. It
is, however, possible that the neuron also receives shunting inhibition with a
reversal potential close to the resting membrane potential. In this system,
the reversal potential of the IPSPs is –72 mV
(Le Bon-Jego and Cattaert,
2002
). To account for this possibility we injected constant
depolarizing current to increase the driving force of IPSPs, but found no
evidence of IPSPs in this depressor motor neuron (data not shown).
To further characterize the synaptic input to each motor neuron, we
stimulated the chordotonal nerve electrically. A brief voltage pulse (0.5 ms)
was applied to the extracellular electrode normally used for recording
activity of the chordotonal organ (see Materials and methods). In this
particular neuron, the response was a compound EPSP with two peaks: one with a
latency of 5 ms and another with a latency of 22.7 ms from the stimulus
artifact. A delay of 3–12 ms is consistent with a monosynaptic
connection, whereas a longer delay is consistent with a polysynaptic
connection (El Manira et al.,
1991
). Therefore, this particular neuron receives both mono- and
polysynaptic input. While the large range of delay values given above for a
monosynaptic connection may seem unusual, it must be remembered that this
delay includes that conduction from the site of nerve stimulation on the
sensory nerve as well as the synaptic delay. Thus, monosynaptic connections
made by sensory neurons with very small diameter axons may indeed have very
long delays. This particular neuron does not receive inhibitory input.
Inhibitory input is, however, very common and has been previously established
to always be disynaptic (Le Bon-Jego and
Cattaert, 2002
).
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The response of individual neurons to movement of the CBCO strand and to
electrical stimulation of the CBCO nerve is summarized in the letters above
each bar in the histograms of spike amplitude
(Fig. 7Ai). Most neurons showed
a resistance response. This is consistent with previously published results.
In the in vitro preparation the network is most commonly found in a
fictive postural mode (standing still) as opposed to a fictive locomotor mode
(forwards or backwards walking) (Chrachri
and Clarac, 1989
). In the postural mode, most motor neurons show a
resistance reflex in response to input from the chordotonal organ
(El Manira et al., 1991
;
Le Ray and Cattaert, 1997
).
However, in each preparation a few neurons were found that showed no response
to movement. These neurons tended to have medium sized spikes. Additionally,
neurons with small spikes were found that showed an assistance response (they
depolarized during the stretch phase). This response is considered an
assistance reflex because in the intact animal these neurons would assist a
downward deflection on the leg by firing and thereby further enhancing this
movement. In the two experiments shown, the assistance neurons have slow
conduction velocities and have, therefore, been given the name Slow assistance
(SA) motor neurons. However, in other preparations assistance neurons with
fast conduction velocities have also been found. Note that in
Fig. 7Aiii there is one neuron
that is labeled `Slow resistance'. This depressor motor neuron has a very slow
conduction velocity and a very small extracellular spike amplitude. This slow
resistance (SR) motor neuron receives monosynaptic EPSPs, no polysynaptic EPSP
and no IPSPs. While it is possible that this constitutes a class of neurons,
no SR neurons were filled; therefore, the anatomy of such SR neurons is not
known. We did not attempt any further classification of this type of
neuron.
Based on a combination of morphological and physiological criteria, we found that we were able to assign the excitatory depressor motor neurons to seven classes: Fast resistance whole neuropil (FR/W), Fast resistance oblique (FR/O), Fast no response oblique (FNR/O), Medium resistance (MR), Medium no response (MNR), Fast assistance (FA), and Slow assistance (SA).
Fast-resistance depressor motor neurons
The FR neurons may be divided in two classes based on anatomical
considerations. The W class includes motor neurons with neuritic branches that
fill or nearly fill the whole neuropil (W) when viewed from above, and the O
class contains motor neurons with neurites oriented obliquely (O) within the
neuropil.
The neuron described above (Fig. 6) belongs to the FR/W class. Four more examples are shown in Fig. 8. The FR/W neurons share many anatomical characteristics. Their main branches are located dorsally. Their secondary neuritic branches extend anteriorly and laterally, and curve downwards, following the contour of the neuropil at its edges. It is in the lateral region of the neuropil that monosynaptic connections may be made from chordotonal sensory neurons (see shaded oval in Fig. 6Aii). Medially, some of these neurons have branches that extend to nearly the midline (n=4/10), while others have branches that stop short of the most medial region of the neuropil (n=6/10). In Fig. 6 and Fig. 8A,B the neurons have branches that extend to the medial border of the neuropil, while the neurons in Fig. 8C,D do not extend as far medially. In this study, we consider these two types of neurons as simply variants of one class of neuron because their anatomical similarities are so great and because no consistent differences were found in their physiological properties. FR/W neurons show a resistance reflex (n=7/7) and receive mono- (n=8/8) and polysynaptic (n=6/8) EPSPs, as well as IPSPs (n=3/8). See Table 1 for a compilation of the response properties of the various classes of neurons.
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The FR/W neurons have large extracellular spike amplitudes (75.8±28%) and short orthodromic delays (2.28±0.71 ms). (All values are given as mean ± s.d.) There are a few caveats with regard to the measurement of extracellular spike amplitude and orthodromic delay. First, spike amplitude is presented as a function of the largest spike found in a given preparation. We have attempted to record intracellularly from as many neurons as possible in a given preparation, but it is unlikely that we recorded from all of the neurons. Thus, it is impossible to know with certainty the size of the largest spike. This variation in the size of the largest spike may account in part for the large variation in spike amplitude seen for each group of neurons. In addition, although we used crayfish of a consistent size and always placed the extracellular recording electrode on the depressor nerve in the same location, small variations between animals would cause at least some of the variation in orthodromic delay.
In Fig. 9, one FR/O neuron was filled with rhodamine while another neuron was filled with Lucifer Yellow within the same animal. Despite the great morphological similarity of these two neurons (Fig. 9Ai,Bi,Ci) their synaptic input as measured by stimulation of the CBCO nerve and their responses to sensory input generated by movement of the CBCO strand were very different. The FR/O neuron filled with rhodamine shows a resistance reflex (Fig. 9Bii) and receives monosynaptic input from the sensory neurons (Fig. 9Aii), while the neuron filled with Lucifer yellow has no response to movement (Fig. 9Cii) and receives only inhibitory input in response to electrical stimulation of the CBCO nerve (Fig. 9Aiii). This latter motor neuron was therefore classified as Fast no response oblique (FNR/O). In this study, oblique neurons were filled in eight experiments, and the response to CBCO movement was characterized in six of these experiments. Four of these neurons showed a resistance reflex (FR/O), whereas two showed no response (FNR/O). FR/O neurons received mono-synaptic EPSPs (n=4/4), never received polysynaptic EPSPs (n=0/4) and never received IPSPS (n=0/4). FNR/O neurons sometimes received monosynaptic excitaroy input (n=1/2), never received polysynaptic EPSPS (n=0/2), and received inhibitory input (n=2/2). Similar to the FR/W neurons, the F/O neurons (FNR/O and FR/O taken together) have large extracellular spikes (78.4±24.0%) and short orthodromic delays (2.00±0.48 ms).
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The neuron shown in Fig. 10A was unusual in that it showed a combined resistance/assistance response when stimulated with a ramp-and-hold movement (data not shown). This neuron receives excitatory input during both the release and stretch phase of movement of the CBCO strand. Despite this unusual property we have tentatively grouped this neuron together with other Medium Resistance neurons because its response to sinusoidal input was similar to that of a typical resistance response. As with Fast motor neurons the M neurons also show some specificity of synaptic input. MR neurons receive monosynaptic excitatory input (n=2/2), polysynaptic input (n=1/2), and inhibitory input (n=1/2). MNR neurons do not receive monosynaptic input (n=0/3), but do receive polysynaptic excitatory input (n=1/3) and inhibition (n=2/3).
Assistance motor neurons
In this study we found two classes of depressor motor neurons with an
assistance response reflex. Such neurons are depolarized during downward
movements of the leg (mimicked by stretch movements of the CBCO strand) and
therefore assist the ongoing movement. This class was subdivided into two
subclasses, depending on the conduction velocity in the depressor nerve.
The Fast assistance (FA) neurons have small spikes (14.5±0.1%) but
short conduction delays (2.13±0.45 ms). This type of assistance neuron
was previously described based on intracellular recordings but not dye-fills
(Le Ray and Cattaert, 1997
).
This class of neuron has fine main neurites and some branches in the
lateral/posterior region where it may receive monosynaptic contact from the
chordotonal sensory neurons (Fig.
11Ai,Bi). These FA neurons receive primarily strong monosynaptic
excitatory input during the stretch phase of the movement
(Fig. 11Aii,Bii), which
corresponds to downward leg movement in the intact animal. They also receive
some inhibition during the release phase
(Fig. 11Aii,Bii). In three
preparations, the FA neurons received monosynaptic EPSPs (n=3/3),
polysynaptic EPSPs (n=1/3) and inhibition (n=2/3).
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The Slow assistance (SA) neurons show long orthodromic conduction delays (see Fig. 7). These neurons have a slow conduction delay (6.17±0.52 ms) and small amplitude extracellular spikes (4.23±0.96%). Because the diameter of the main neurite of this type of neuron was quite small, we were only able to obtain anatomical data from one preparation (physiological data is based on three intracellular recordings). Based on this preparation, however, it appears that this type of neuron has sparse branches and occupies only a small portion of the neuropil (Fig. 12A).
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As stated in the Introduction, according to the size principle there are strong correlations between functional properties of a motor neuron, such as their order of recruitment, and properties, such as spike amplitude and conduction velocity. To determine if there are differences between the various classes of motor neurons, we examined compiled data for orthodromic delay and spike amplitude and tested for significant differences between the various classes. For the purpose of these comparisons we condensed the data from the seven different classes into five classes in order to have high enough numbers of neurons in each class to make statistical tests possible (e.g. data for FR/O and FNR/O neurons were combined into one group F/O). We found that the Slow assistance neurons have a longer mean orthodromic delay than all other types of neurons (Fig. 13A), and that the Slow assistance, Fast assistance, and M neurons had significantly smaller extracellular spikes than the FR/W and F/O classes (Fig. 13B).
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| DISCUSSION |
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In the present study we found that in the pool of motor neurons that innervate the depressor muscle of the crayfish leg, orderly recruitment occurs in response to sensory input generated by the repetitive activation of a proprioceptive organ. Neurons with small spikes had significantly short mean vector lengths than neurons with medium or large spikes, signifying that their spikes were less strongly clustered in time. In an intact animal, the neurons with small spikes would be activated earlier and turned off later than neurons with larger spikes during a movement. We were unable to extend the analysis of recruitment order to the entire population of depressor motor neurons because a large portion of the population of motor neurons did not reach firing threshold in response to sensory input. Since it was impossible to recruit all the motor neurons, we characterized instead the anatomical and physiological properties of the motor neurons, including various parameters that are associated with recruitment order such as extracellular spike amplitude and conduction velocity.
Identification and number of depressor motor neurons
Using nerve sections of the depressor motor nerve, we found 18 circular
profiles, 13 with thick walls and five with thin walls. The five thin-walled
profiles are likely not motor neurons. They may be modulatory neurons or
sensory projections of unknown origin. The 13 thick-walled profiles are likely
to be depressor motor neurons (12 depressor motor neurons plus the common
inhibitor). This number corresponds to the maximum number of cell bodies
observed after depressor motor nerve backfills and is in accordance with
similar observations made in the crab depressor
(Bévengut and Cournil,
1990
). In most of the experiments designed to perform a maximum of
intracellular recordings from depressor motor neurons, we found between 12 and
14 profiles of spike shapes recorded in the depressor motor nerve. (In the one
experiment where 14 distinct spikes shapes were found, it is possible that
spikes shapes from a single neuron or neurons were erroneously subdivided (see
Materials and methods for a full explanation). In summary, we estimate that
there are 12 excitatory depressor motor neurons.
Twelve motor neurons may seem like a large number to control a single
invertebrate muscle, yet is has been shown that proximal muscles are often
innervated by relatively large numbers of motor neurons. The general trend is
for a reduction in the number of motor neurons per muscle from proximal to
distal along the walking leg. Previous studies of the number of motor neurons
innervating the two proximal-most joints (four proximal muscles) of the
crayfish leg muscles gave 12 depressor, 20 levator, 13 remotor and 20
promotors (Bévengut and Cournil,
1990
). The total number of motor neurons that innervate the leg is
90; thus the number of motor neurons (65) that innervate the proximal leg
accounts for 2/3 of the total number of motor neurons of the leg
(Bévengut and Cournil,
1990
). The distal joints have far fewer motor neurons per muscle.
For example, the opener muscle is innervated by a single motor neuron. This
decrease in motor neurons may reflect and decrease in the complexity of the
muscles from proximal to distal (see below for further discussion).
We found that the 12 depressor motor neurons may be divided into seven classes: (1) Fast resistance with an arborization extended through the whole neuropil (FR/W), (2) Fast resistance with an oblique arborization (FR/O), (3) Fast no response with an oblique arborization (FNR/O), (4) Medium resistance (MR), (5) Medium no response (MNR), (6) Slow assistance (SA) and (7) Fast assistance (FA). As described in the Results (Fig. 7A) there may also be a class of slow resistance neurons; however, we have not successfully dye-filled any of these neurons.
The pool of excitatory motor neurons is very heterogeneous; however, we
were unable to unequivocally characterize any of the excitatory depressor
motor neurons as being unique identified neurons. The one neuron that can be
uniquely identified is the common inhibitor. We did not include this neuron in
this paper as it has been previously described. This neuron has an
extracellular spike of intermediate size and innervates all of the different
muscle groups of the leg (Cattaert et al.,
1993
; Wiens and Wolf,
1993
). The main neurite of the common inhibitor lies anteriorly to
the primary neurites of all the depressor motor neurons, and its soma lies on
the midline of the ganglion, which is in sharp contrast to the somata of
depressor motor neurons, which are all located posterior and medial to the
neuropil (Chrachri and Clarac,
1989
; Elson,
1996
). The common inhibitor changes the membrane properties of the
muscle fibers to favor rapid relaxation and, thus, promotes more phasic
contraction of leg muscles during locomotion
(Ballantyne and Rathmayer,
1981
). In accordance with this function, it receives excitatory
input from the CBCO sensory neurons during both upward and downward movements
of the leg (Cattaert et al.,
1993
).
Response to sensory stimulation
In response to sensory input generated by movement of the elastic strand of
the coxo-basipodite chordotonal organ (CBCO) the FR/W, FR/O and MR neurons
showed a resistance reflex. Since the in vitro preparation is in a
postural mode, the resistance reflex would be helpful for maintaining posture
in response to changing load, maintaining joint stiffness, and counteracting
any forces that would act to change the joint angle such as leg slippage
(Barnes, 1977
). Two classes of
motor neurons, Slow assistance (SA) and Fast assistance (FA), showed
assistance reflexes. The role played by the assistance reflex in posture is
unknown. However, in vertebrates it has been postulated that subgroups of
motor neurons may receive different types of sensory feedback
(Duysens, 1989
). Furthermore,
within the pool of motor neurons that control the proximal-most joint of the
leg of the crayfish, both assistance and resistance reflexes were found while
the network was in a postural mode
(Skorupski et al., 1992
).
Specificity of synaptic input
In addition to movement-induced sensory input described above, we also
directly stimulated the CBCO nerve electrically. Most classes of motor neurons
received mono- and polysynaptic EPSPs and polysynaptic IPSPs; however, there
is some specificity of synaptic input. The SA and MNR neurons do not receive
monosynaptic EPSPs and the FR/O and FNR/O neurons do not receive polysynaptic
EPSPs (see Table 1), in
agreement with data from a previous study, showing specificity of synaptic
input. Individual sensory neurons make monosynaptic connections with only a
subset of motor neurons (Le Ray et al.,
1997a
). Additionally, some depressor motor neurons show a tonic
response to a release-and-hold stimulus while others show a phaso-tonic
response (Le Ray et al.,
1997a
). This difference in response may be due to differences in
the synaptic input to these neurons. Some sensory neurons are phasic while
others are phaso-tonic (Le Ray et al.,
1997a
; Le Ray et al.,
1997b
).
The finding that there is specificity of chemical synaptic input raises the
question of whether or not a similar type of specificity also exists in the
electrical connections between the motor neurons
(Cattaert et al., 1995
). Based
on the high degree of heterogeneity found in the present study it would be
interesting to measure the strength of electrical coupling between depressor
motor neurons of different classes.
Differences between the neuron classes
According to the size principle, neurons with small extracellular spike
amplitudes and small soma are recruited before larger neurons. Although we
were not able to measure the recruitment order of each class, we looked for
systematic differences between the neuron classes related to neuron size. We
found that FR/W and F/O class neurons have larger spike amplitudes than all
other classes of neurons. This difference in spike amplitude was positively
correlated with a difference in the diameter of the axons of these neurons in
comparison to the other classes. Despite the small spike