|
|
||||||||
The Journal of Neurophysiology Vol. 88 No. 4 October 2002, pp. 1791-1814
Copyright ©2002 by the American Physiological Society
Department of Physiology, University of Montréal, Montreal, Quebec H3C 3J7, Canada
| |
ABSTRACT |
|---|
|
|
|---|
Lavoie, Sylvain and Trevor Drew. Discharge Characteristics of Neurons in the Red Nucleus During Voluntary Gait Modifications: A Comparison with the Motor Cortex. J. Neurophysiol. 88: 1791-1814, 2002. We have examined the contribution of the red nucleus to the control of locomotion in the cat. Neuronal activity was recorded from 157 rubral neurons, including identified rubrospinal neurons, in three cats trained to walk on a treadmill and to step over obstacles attached to the moving belt. Of 72 neurons with a receptive field confined to the contralateral forelimb, 66 were phasically active during unobstructed locomotion. The maximal activity of the majority of neurons (59/66) was centered around the swing phase of locomotion. Slightly more than half of the neurons (36/66) were phasically activity during both swing and stance. In addition, some rubral neurons (14/66) showed multiple periods of phasic activity within the swing phase of the locomotor cycle. Periods of phasic discharge temporally coincident with the swing phase of the ipsilateral limb were observed in 7/66 neurons. During voluntary gait modifications, most forelimb-related neurons (70/72) showed a significant increase in their discharge activity when the contralateral limb was the first to step over the obstacle (lead condition). Maximal activity in nearly all cells (63/70) was observed during the swing phase, and 23/63 rubral neurons exhibited multiple increases of activity during the modified swing phase. A number of cells (18/70) showed multiple periods of increased activity during swing and stance. Many of the neurons (35/63, 56%) showed an increase in activity at the end of the swing phase; this period of activity was temporally coincident with the period of activity in wrist dorsiflexors, such as the extensor digitorum communis. A smaller proportion of neurons with receptive fields restricted to the hindlimbs showed similar characteristics to those observed in the population of forelimb-related neurons. The overall characteristics of these rubral neurons are similar to those that we obtained previously from pyramidal tract neurons recorded from the motor cortex during an identical task. However, in contrast to the results obtained in the rubral neurons, most motor cortical neurons showed only one period of increased activity during the step cycle. We suggest that both structures contribute to the modifications of the pattern of EMG activity that are required to produce the change in limb trajectory needed to step over an obstacle. However, the results suggest an additional role for the red nucleus in regulating intra- and interlimb coordination.
| |
INTRODUCTION |
|---|
|
|
|---|
Single-unit
recording studies in cats (Almaric et al. 1983;
Batson and Amassian 1986
; Burton and Onoda
1978
; Ghez and Kubota 1977
; Houk et al.
1987
; Martin and Ghez 1988
, 1991
; Padel
and Steinberg 1978
; Schmied et al. 1988
), rats
(Jarratt and Hyland 1999
), and primates (Gibson
et al. 1985a
,b
; Mewes and Cheney 1994
; Miller and Houk 1995
; Miller et al. 1993
;
Otero 1976
; van Kan and McCurdy 2001
)
have shown that neurons in the magnocellular region of the red nucleus,
including rubromotoneuronal cells (Fetz et al. 1989
;
Mewes and Cheney 1994
), increase their discharge frequency during the execution of voluntary movements. Detailed analysis of these discharge patterns suggests that in most cases the
increase of discharge frequency precedes the onset of the movement
(Almaric et al. 1983; Ghez and Kubota
1977
; Gibson et al. 1985b
; Martin and
Ghez 1988
; Mewes and Cheney 1994
; Otero 1976
) and may be correlated with different parameters of the
movement, such as the velocity (Burton and Onoda 1978
;
Gibson et al. 1985b
; Mewes and Cheney
1994
), or with the temporal characteristics of the
electromyographic (EMG) activity that produces that movement (Miller and Houk 1995
; Miller and Sinkjaer
1998
; Miller et al. 1993
). Furthermore, the
studies of several authors (Gibson et al. 1985a
, 1994
,
1998
; Mewes and Cheney 1994
; Miller et
al. 1993
; Sinkjaer et al. 1995
; van Kan
and McCurdy 2001
) suggest that the red nucleus may play a
particular role during coordinated, multi-articular movements such as
reaching, particularly when these movements involve the use of the hand
e.g., reach-to-grasp.
During locomotion, the only information on the discharge patterns of
rubral neurons comes from experiments in the decerebrate cat
(Arshavsky et al. 1988
; Orlovsky 1972a
).
The results from these experiments show that rubrospinal neurons are
phasically active during locomotion in the decerebrate cat and
discharge preferentially in the swing phase of locomotion where they
could influence the activity of flexor muscles (Orlovsky
1972a
). This is in agreement with the results from studies in
both the decerebrate (Degtyarenko et al. 1993
;
Orlovsky 1972b
) and intact cat (Rho et al.
1999
) showing that microstimulation within the red nucleus during locomotion preferentially modifies the activity of physiological flexor muscles. Nevertheless, both the unit recording and
microstimulation studies indicate that the red nucleus may also
influence the activity of extensor muscles active at the end of the
swing phase and during stance. Electrolytic lesion (Ingram and
Ranson 1932
), excitotoxic lesion (Muir and Wishaw
2000
), or pharmacological inactivation (Gibson et al.
1994
) of the red nucleus leads to evident but relatively mild
locomotor deficits during overground locomotion, although the study of
Ingram and Ranson (1932)
reported stronger deficits when
the cats walked in a cluttered environment.
Taken together, the data suggest that the red nucleus does contribute
to the normal control of walking, although the nature of this
contribution is unclear, in part because of the lack of any data on
cell discharge characteristics in the intact, walking cat. Moreover,
given the comments of Ingram and Ranson (1932)
concerning the increased loss of control in more challenging
circumstances and the wealth of evidence in primates demonstrating the
importance of the red nucleus in the control of voluntary movements, it
seems probable that the red nucleus, like the motor cortex (Amos
et al. 1990
; Armstrong 1988
; Beloozerova
and Sirota 1993
; Drew 1988
, 1993
; Drew et
al. 1996
; Widajewicz et al. 1994
), might
contribute more strongly to the regulation of locomotion when the cat
has to adapt its gait to the environment. To test this general
hypothesis, we used single-unit recording techniques in the intact cat
to characterize the nature of the discharge characteristics of rubral neurons during a task requiring a modification of the base locomotor rhythm. To allow direct comparison of the results from this study with
those that we have previously obtained from our recordings of
identified pyramidal tract neurons (PTNs) in the motor cortex (Drew 1993
; Widajewicz et al. 1994
), we
used the identical task requiring the cats to modify their gait to step
over an obstacle attached to a moving treadmill belt. This task
requires that the cats adjust the spatiotemporal pattern of the muscle
activity in their limbs to produce the changes in limb trajectory
needed to step over the obstacle without touching it. As such, it
provides an appropriate method for characterizing the discharge
characteristics of rubral neurons in a situation in which the locomotor
pattern has to be modified.
A preliminary report of this study has been published as an abstract
(Lavoie and Drew 1997
).
| |
METHODS |
|---|
|
|
|---|
Training and surgery
Experiments were carried out on three cats (weight: 5.4-5.9 kg)
that were initially trained to walk on a treadmill at speeds circa
0.4 m.s
1 and to step over obstacles
attached to the moving belt (see Drew 1988
, 1993
). These
were the same three animals that were used in our previously published
paper detailing the effects of microstimulation of the red nucleus on
the locomotor rhythm and pattern (Rho et al. 1999
).
Following training, the cats were prepared for surgery under general
anesthesia and in aseptic conditions. All procedures followed the
recommendations of the Canadian Council for the Protection of Animals
and were approved by the local animal ethics committee at the
Université de Montréal.
The surgical procedures used in these experiments are detailed in
Rho et al. (1999)
. In brief, a recording chamber was
attached over a craniotomy in the parietal bone to provide access to
the red nucleus on the right hand side. A bundle of three microwires was implanted stereotaxically into the left brachium conjunctivum at
P-7.5, V-3, L3.8, and, in two animals, a similar bundle was implanted
stereotaxically into the left rubrospinal tract at P9.2, V-8.5, and
L4.5. In two animals, three microwire electrodes were inserted manually
into the left dorsolateral funiculus at L2. In
all animals, pairs of Teflon-insulated, braided stainless-steel wires
were implanted into selected muscles of all four limbs to record EMG
activity during locomotion. The selected muscles included physiological
flexor and extensor muscles acting around all the major joints of the
forelimb and hindlimb contralateral to the recording site (see
Rho et al. 1999
for a list of these muscles and their
major functions). Each animal was administered Buprenophrine (hydrochloride, 5 µg/kg) for the 48 h following the surgery.
Antibiotics (cephalexin monohydrate 50 mg/kg) were administered
throughout the period of study of these animals. Experiments were
started 1 wk after the surgery.
Protocol
Glass-insulated, tungsten microelectrodes (impedance: 0.5-2.0
M
), held in a custom-made micromanipulator attached to the recording
chamber, were driven through the parietal cortex and the superior
colliculus to a position previously calculated to be just dorsal to the
red nucleus. The electrode was then advanced slowly into the red
nucleus. In initial experiments, the exact location of the forelimb
representation of the red nucleus was determined on the basis of the
presence of a large, short-latency (<1 ms) field potential following
stimulation of the electrodes in the brachium conjunctivum (see e.g.,
Figs. 2C and 5C), of large neurons with a
cutaneous receptive field on the contralateral forelimb and by brief,
twitch responses, restricted to the forelimb, following stimulation
through the microelectrode (11 pulses at 330 Hz, pulse duration: 0.2 ms) at strengths of <20 µA (not illustrated). In these initial
experiments, the electrode was then withdrawn ~1 mm and left in place
for 10-15 min before being again slowly advanced into the red nucleus.
The data from these initial experiments were used to directly position
the electrode above the predicted location of the red nucleus in later experiments.
As the electrode was advanced, action potentials that were clear of the
noise were tested for a receptive field by gentle manipulation of the
body. In many penetrations, the action potentials that were initially
isolated had receptive fields around the face or neck of the animal
(see Fig. 1). These cells were not
routinely recorded during locomotion, although a number of such cells,
in all three cats, were sampled to determine whether they were
phasically active during the task. Below these cells, or intermingled
with them, we isolated cells with receptive fields that were restricted to or included the contralateral forelimb. From this point on, the
discharge frequency of all neurons with stable, isolated action potentials were recorded during locomotion with either one or two
obstacles attached to the treadmill belt. Unit and EMG activity were
recorded on a 14-channel instrumentation tape recorder, and we also
made simultaneous video recordings of the cat during this time. A
digital time code simultaneously recorded on both media allowed
synchronization of these recordings. Following the recordings during
locomotion, the cat was removed from the treadmill, and the receptive
field of the cell was more carefully mapped by gentle manipulation of
the limbs and body of the animal. In sites at which well-modulated
activity was recorded during locomotion, short trains of
microstimulation at 25 µA were applied and the evoked movements, as
well as the threshold for the effects noted (see Rho et al.
1999
). The cat was then replaced in the treadmill and the
electrode advanced until another single unit was isolated. Recording
sessions normally lasted for 2-3 h and terminated when the cats were
no longer willing to walk. In selected penetrations, small electrolytic
lesions were made above, below or, occasionally, within the predicted
borders of the red nucleus to aid in histological reconstruction of the
electrode penetrations.
|
Following all of the recording and stimulation procedures, the same cats were used to examine the effects of microinjections of muscimol into the red nucleus (not illustrated in this report).
Data analysis
Following the experiments, the data were displayed on an
electrostatic printer (Gould ES 2000), and sections of data in which the action potential and the locomotion were stable were selected for
analysis. Action potentials were amplitude-discriminated and transformed into digital pulses; these were sampled, together with the
EMG data, at a frequency of 1 kHz. A custom-written program was used to
mark the onset and offset of the periods of EMG activity and to
identify the step cycles during which the cat stepped over the obstacle
as well as those cycles preceding this step. As in our previous studies
(Drew 1993
; Widijawicz et al. 1994
),
steps over the obstacle were further divided into those in which the leg contralateral to the recording site was the first to pass over the
obstacle (the lead limb) and those when it was the second (trail limb).
The identification of these steps was based on inspection of the
simultaneously recorded videos; the latter were also used to ensure
that the cat neither touched the obstacle nor hesitated during the gait
modification. Control cycles were defined as those that
occurred two steps before the one over the obstacle as our previous
studies showed that neither EMG activity nor the discharge pattern of
PTNs was different during this step than during locomotion when no
obstacles were attached to the treadmill belt (Drew
1993
).
Once identified, the selected cycles were used to construct averages
that were triggered on the onset of either the contralateral cleidobrachialis (coClB) or the contralateral sartorius
(coSrt), the onset and duration of which correspond,
approximately, to the onset and duration of the forelimb and hindlimb
swing period, respectively (Drew 1993
; Widajewicz
et al. 1994
). To average the signals, both the instantaneous
discharge frequency of the cell and the EMG activity during each cycle
was divided into 256 bins (Drew 1993
; Drew and
Doucet 1991
; Udo et al. 1982
). The discharge activity during the steps over the obstacle was superimposed on the
activity during the control cycle. The latter activity was displayed
together with the 0.01 confidence interval of the standard error of the
mean. Periods of activity that exceeded the upper or lower boundaries
of this level of confidence for more than 25 consecutive bins were
deemed to be significantly different from control activity (Drew
1993
). When two obstacles were attached to the treadmill, the
data from each were combined. Unit activity was also displayed in the
form of rasters, triggered successively on the onset of each of the
recorded muscles, to examine the timing relationships between the
periods of unit activity and the period of activity of each of the
recorded muscles (Drew 1993
; Drew et al.
1986
).
To determine whether cells were phasically modulated and during which
parts of the step cycle they showed peak activity, we used a
combination of methods. First, we used circular statistics and the
Rayleigh test for directionality (P < 0.01) to
determine which cells showed phasic (i.e., nonuniform discharge)
modulation (Batschelet 1981
; Drew 1993
;
Drew and Doucet 1991
). However, because many of the
cells in the red nucleus showed multiple periods of discharge activity
(see RESULTS), we could not use circular statistics to
routinely determine the mean phase and level of activity of these cells
in the same way as for PTNs (Drew 1993
). For those cells
that were phasically modulated, we therefore determined the phase of
neuronal discharge from normalized averages of the cell discharge,
triggered on the onset of coClB or coSrt. For control steps, the
overall average level of the discharge during each step cycle was
calculated, and the points at which the histogram crossed this level
were considered to represent the onset and offset of the period of
burst activity (see e.g., Figs. 2B and Fig. 3). To quantify
the data during the steps over the obstacle, similar methods were used
except that we found that for four cells, some significant increases in
discharge were too small to be included on the basis of the overall
average. For these four cases, the phase of discharge was calculated on
the basis of the overall discharge rate for the major burst as well as
on the basis of mean discharge for the minor, but significant, burst;
an example of one of these four cells can be seen in Fig.
6A. It should be noted that a comparison of the phase of
activity of the cortical neurons obtained using the current method with
that obtained using circular statistics showed only small differences
in the values obtained using the two methods (compare Fig.
4D in this report with Fig. 5 in Drew 1993
).
To identify the part of the step cycle during which cells were
maximally active during the gait modifications, they were classified in
a similar manner to our previous publications. Three of these groups
were identical to those previously used to identify PTNs. For cells
related to the forelimbs (see RESULTS), these were cells whose peak discharge activity occurred just prior to, or just after,
the onset of the activity in the coClB but prior to the onset of
activity in the wrist and digit dorsiflexor, coEDC (phase I cells);
cells whose peak discharge occurred subsequent to the onset of activity
in the EDC but before the end of the period of activity in the coClB
(phase II cells); and cells in which the increase in discharge began
>200 ms prior to the onset of activity in the coClB (early). Because
we identified a group of cells in the red nucleus whose activity was
temporally related to the swing period of the ipsilateral limb (see
e.g., Fig. 3A), and thus discharged during the stance phase
of the contralateral limb, we subdivided our previous stance
classification (Drew 1993
) into cells whose peak
discharge was included within the period of activity of the iClB (i.e.,
ipsilateral swing cells); and those cells whose peak discharge occurred
outside the period of the coClB activity, excluding group 4 (i.e.,
stance cells). In addition, on the basis of our initial inspection of
the discharge patterns of these cells, we designated a further two
categories: cells whose discharge activity was maximal throughout the
period of swing (phase I + II cells) and those cells that showed a
period of activity in phase I and another in phase II (phase I and
phase II cells). For cells related to the hindlimbs, the same
classifications were maintained with respect to the coSrt and the
extensor digitorum brevis (EDB).
Histology
At the end of the experimental procedures, the animals were killed with pentobarbital sodium and perfused per aortum with a solution of saline, followed by 4% paraformaldehyde and 4% sucrose. The brain stem was removed, blocked, and stored in 20% sucrose overnight. Frozen sections (30-40 µm) were cut and mounted. These sections were stained with cresyl violet and used to trace the penetrations into the red nucleus, using the marking lesions as a guide.
Motor cortex
The data for the motor cortex that are included in this report
are taken from the identical population of neurons, recorded in the
forelimb representation of area 4, that we used in a previous publication (Drew 1993
). These data have been reanalyzed
using the same methods as for the red nucleus cells to allow a direct comparison of discharge frequencies and phases of activity. With the
exception of the examples of neuronal activity that are used to
illustrate the summary figure (Fig. 11), only the results of this
synthesis are illustrated here.
| |
RESULTS |
|---|
|
|
|---|
Database
A total of 157 neurons from 45 penetrations were recorded during
locomotion. All of these penetrations were histologically verified to
lie within the boundaries of the red nucleus with most trajectories
lying within the caudal two-thirds of the nucleus that is normally
defined as the magnocellular region of the red nucleus (Massion
1967
; Padel et al. 1972
; Pompeiano and
Brodal 1957
; Robinson et al. 1987
).
Figure 1 illustrates histology from one cat, RN4, and shows the location of some of the penetrations made at different lateralities in this cat, together with the receptive fields of the cells recorded in representative penetrations. In accord with previously published reports, we found that most cells with receptive fields confined to the contralateral hindlimb were located in the more lateral and ventral regions of the red nucleus (see e.g., tracks 15 and 32 in Fig. 1A), whereas neurons with receptive fields restricted to the forelimbs were more scattered throughout the red nucleus but were concentrated in the more medial and dorsal regions (tracks 11, 24, 25, and 29 in Fig. 1, B and C). Cells with receptive fields confined to the face, neck and proximal forelimb were normally found in the most dorsal parts of the trajectories, especially in more rostral regions (e.g., tracks 11 and 29), although cells with very distal receptive fields were also sometimes recorded in these most dorsal regions (e.g., cell 1 in track 11).
Receptive fields were tested for 138/157 of these neurons and could be identified for 129/138. Of these, the majority (72/129, 56%) had a receptive field that was restricted to the contralateral forelimb, and, for most of these (50/72) the receptive field was restricted to those parts of the forelimb including and distal to the elbow. A further 22/129 (17%) had a receptive field that was restricted to the hindlimbs. In part, this preponderance of cells with receptive fields on the forelimb, compared with the hindlimb, is a result of a bias in the recordings in that the cat was normally unwilling to continue walking by the time that the penetration had advanced to the more ventral regions of the nucleus where the hindlimb cells were concentrated. Relatively few cells were recorded with receptive fields restricted to the face and neck (15/129, 12%) or the trunk (4/129, 3%), largely because of our tendency to advance the electrode rapidly through the most dorsal regions of the red nucleus where these cells were most frequently located. Of the remaining cells, 14/129 (11%) had a receptive field that overlapped more than one of the above categories and 2 cells had a receptive field restricted to the ipsilateral forelimb. The vast majority (120/129) of these neurons were activated by brushing or light tapping of the skin; because of their extreme sensitivity to these cutaneous stimuli, we were unable to accurately determine if they received additional deeper or proprioceptive afferent input. The other neurons (9/129) were activated only by deep tapping or joint movement (see e.g., track 11 in Fig. 1C).
The electrodes implanted into the brachium conjunctivum were accurately
positioned in two of the cats (RN3 and RN5).
Stimulation through these electrodes orthodromically activated a
substantial proportion of the cells (66/93, 71%) that we recorded in
these two cats. Unidentified cells were often recorded interspersed among the identified cells, suggesting that the lack of identification was probably due to an inability to completely activate the brachium (see Eccles et al. 1975b
). The electrodes directed at
the rubrospinal tract in the brain stem were accurately positioned in
only one of the two cats in which they were inserted. These electrodes antidromically activated 19/42 (45%) of the tested cells in this cat.
The actual percentage was probably higher but the very-short-latency responses were masked by the stimulus artifact. Spinal cord electrodes were accurately positioned in one of the two cats implanted. In this
animal, 4/5 of the rubral neurons with a receptive field on the
hindlimb were antidromically identified from these electrodes; in this
same cat, none of the 16 neurons with a forelimb receptive field were
activated from these electrodes.
Cell discharge during locomotion
Although the major objective of this study was to examine the
discharge characteristics of rubral neurons during voluntary gait
modifications, we first present data on the background discharge characteristics during normal locomotion in the intact cat. This is
necessary as no other detailed source of information is available for
locomotion in the intact cat and it also allows comparison with the
only other detailed study available which was obtained in the
decerebrate cat (Orlovsky 1972a
). Because of the nature of our task, in which the forelimbs are obviously the first to encounter the obstacle, we concentrate on the 72 cells in which the
receptive field was located exclusively on the forelimb. Data for
the hindlimb, face, and neck are presented more concisely at the end of
RESULTS.
CELLS WITH A RECEPTIVE FIELD RESTRICTED TO THE FORELIMB. Discharge activity during control locomotion. Of the 72 neurons with receptive fields restricted to the forelimbs, 66 discharged phasically as determined by the Rayleigh test for directionality. Figure 2 shows the discharge characteristics of one phasically active rubral neuron in the control cycles between gait modifications. Because only one obstacle was attached to the treadmill belt during this recording, there were seven or eight steps between the steps over the obstacle. This rubral neuron had a receptive field that extended from the paw to the upper arm but that was most intense on the dorsum and ventral surface of the paw: the neuron was orthodromically activated from the electrodes in the brachium conjunctivum at a latency of 1.2 ms (Fig. 2C). During locomotion, the neuron discharged in a clearly rhythmical manner with one intense peak of activity at the end of the swing phase, coincident with the period of activity of the wrist and digit dorsiflexor, EDC (Fig. 2, B and D). However, as in most of the rubral neurons that we recorded, the cell did not discharge in a simple unimodal pattern but showed a more complex pattern of peaks and troughs with another prominent peak of discharge activity at the end of stance, just prior to foot lift.
|
|
) shows that the
maximal period of activity of the majority of cells (59/66) was
centered around the swing phase of locomotion, extending from the end
of stance (phase 0.9) to the time of paw contact (phase 0.4). The
second small peak that is evident in this plot corresponds,
approximately, to the period of swing of the ipsilateral forelimb. The
open bars in Figure 4B (see legend) indicate that there was
a substantial level of lower frequency phasic activity during the
stance phase of locomotion (0.4-0.9).
|
|
|
|
|
|
|
CELLS WITH A RECEPTIVE FIELD RESTRICTED TO THE HINDLIMBS OR TO THE FACE AND NECK. Twenty (20/22) of the cells with a receptive field limited to the hindlimb were phasically active during control locomotion. As for those cells with a receptive field restricted to the forelimbs, most of these (18/20) showed a period of increased discharge during the swing phase of the hindlimb and many of these (15/18) also showed a second period of increased activity during the stance phase. In some cases (5/15), this latter period of activity was temporally related to the swing period of the ipsilateral hindlimb. As for the forelimb cells, a proportion (6/18) of neurons exhibited multiple periods of increased activity during swing.
During the passage of the hindlimb over the obstacle, 17/22 (77%) cells showed increased activity at some stage during the modified cycle and 16/17 had increased activity during the swing phase of this step. In all cases, this modification occurred only as the hindlimb stepped over the obstacle; there was no change in discharge related to the passage of the forelimbs over the obstacles. Figure 10A illustrates one such cell that increased its discharge frequency throughout the period of activity of the coSrt, corresponding approximately to the hindlimb swing phase. Three neurons discharged in a similar manner to that illustrated in Fig. 10A and 9/16 showed an increase in discharge restricted to phase II. Only two neurons showed an increased discharge restricted to phase I, and only a further two neurons showed an increase during both early and late swing. Five neurons also showed increased activity during the passage of the ipsilateral hindlimb.
|
| |
DISCUSSION |
|---|
|
|
|---|
This paper provides the first detailed report of the activity of rubral neurons during both unobstructed locomotion and in circumstances that required voluntary gait modifications of the fore- and hindlimbs. During unobstructed treadmill locomotion, the majority of rubral neurons were phasically modulated, with the maximum discharge frequency occurring during the swing phase of locomotion of either the contralateral forelimb or of the contralateral hindlimb. During the voluntary gait modifications, a majority of phasically modulated cells showed significant increases in their discharge frequency during the passage of either the fore- or hindlimbs over the obstacle.
Database and methodological considerations
Although, for technical reasons, only a few cells could be
specifically identified as spinal projection neurons, the majority of
the cells that we recorded had large action potentials that could be
recorded over distances of several hundreds of micrometers and were,
therefore, probably generated by neurons with a large soma. As most, if
not all, large neurons in the feline red nucleus project to the spinal
cord (Hayes and Rustioni 1981
), it is likely that the
majority of the cells that we recorded were rubrospinal and would,
therefore, exert direct influences on spinal interneurons.
As in our motor cortical studies (Drew 1993
;
Widajewicz et al. 1994
), we initially classified our
population of cells into fore- and hindlimb related cells based on
their receptive fields. That this is an appropriate method of
classification for rubral neurons is suggested by our results showing
that cells with receptive fields restricted to the forelimbs discharged
only during the motor adjustments of the forelimbs, while those with
receptive fields restricted to the hindlimbs discharged only during the motor adjustments of the hindlimbs. Moreover, our results showing that
none of the cells with receptive fields restricted to the forelimbs
could be activated from the lumbar spinal cord suggest that the
majority of these rubral neurons exerted an influence primarily on
either forelimb or hindlimb musculature. This segregation of
motor function is in agreement with previous anatomical and physiological studies on the topography and input/output relationships of rubral neurons (Eccles et al. 1975a
,b
; Ghez
1975
; Nishioka and Nakahama 1973
; Padel
et al. 1972
; Pompeiano and Brodal 1957
; Rho et al. 1999
; Robinson et al. 1987
)
and particularly with the finding of Shinoda et al.
(1977)
that only a few of the rubral neurons (2/40) that
projected to the cervical cord also sent an axon to lumbar
(L1) levels.
Rubral activity during locomotion
UNOBSTRUCTED TREADMILL LOCOMOTION.
Almost all (92%) rubral neurons with a receptive field restricted to
the fore- or hindlimb showed a phasic modulation of their discharge
activity during unobstructed treadmill locomotion with the peak
discharge of the majority of the modulated neurons (89% forelimb and
90% hindlimb) centered around the swing phase (phases: 0.9-0.4).
These results, in general, conform with the data of Orlovsky
(1972a)
, who recorded the activity of rubrospinal cells projecting to the lumbar cord in thalamic cats walking on a treadmill. In those experiments, he reported that the majority of neurons (83%)
were also phasically modulated during locomotion and that most (62% of
the total) discharged during the swing phase of locomotion. However, in
comparison to the results reported by Orlovsky (1972a)
, we found a larger number of our neurons (55% of modulated neurons compared with 13% in his study) discharged both during swing and stance. It is possible that this difference in the two studies might be
related to differences in functional control over the hindlimb as
compared with the forelimb. However, we also found a high proportion of
neurons discharging during both swing and stance in our smaller
population of hindlimb related neurons. As such, it is more likely that
this difference reflects either differences in the preparations used or
differences in the resolution of the analytical techniques. The latter
reason probably also explains the lack of any mention of cells
discharging in multiple bursts during the swing phase in Orlovsky's report.
VOLUNTARY GAIT MODIFICATIONS. General comments. Most rubral neurons increased their discharge frequency during the gait modifications required to step over the obstacles. In general, the basic characteristics of the discharge activity in individual cells, including the preponderance of phasic activity centered around the swing phase of locomotion, the presence of neurons that discharged during both swing and stance and particularly the presence of multiple peaks of activity in individual neurons during swing were similar during unobstructed locomotion and during voluntary gait modifications. This suggests that the red nucleus, like the motor cortex, contributes both to the production of the base locomotor rhythm and to the increase in the level of the EMG activity when the cats need to modify their gait. However, many neurons did not simply show a change in the magnitude of their activity but also exhibited changes in their relative phase of activation (see Figs. 5B) or showed phasic activity during the gait modification where none was present during the unobstructed locomotion (see Fig. 6). This latter characteristic resulted in neurons exhibiting more phasic peaks of activity during the gait modifications than during the unobstructed locomotion. These changes in the magnitude, duration and timing of the cell discharge patterns, together with the appearance of new periods of neuronal activity during the gait modification, suggests that the red nucleus, like the motor cortex, contributes to the specification of the appropriate spatiotemporal EMG activation patterns that are required to produce the change in limb trajectory required to step over the obstacle (see also Fig. 11).
|