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The Journal of Neurophysiology Vol. 88 No. 3 September 2002, pp. 1308-1317
Copyright ©2002 by the American Physiological Society
1Rehabilitation R and D Center (153), Veterans Affairs Palo Alto Health Care System, Palo Alto, California 94304; 2Department of Functional Restoration and 3Department of Mechanical Engineering, Biomechanical Engineering Division, Stanford University, Stanford, California 94305; and 4Department of Physical Therapy and Human Movement Sciences and Department of Physical Medicine and Rehabilitation, Northwestern University Medical School, Chicago, Illinois 60611-2814
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ABSTRACT |
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Kautz, S. A., D. A. Brown, H.F.M. Van der Loos, and F. E. Zajac. Mutability of Bifunctional Thigh Muscle Activity in Pedaling due to Contralateral Leg Force Generation. J. Neurophysiol. 88: 1308-1317, 2002. Locomotion requires uninterrupted transitions between limb extension and flexion. The role of contralateral sensorimotor signals in executing smooth transitions is little understood even though their participation is crucial to bipedal walking. However, elucidating neural interlimb coordinating mechanisms in human walking is difficult because changes to contralateral sensorimotor activity also affect the ipsilateral mechanics. Pedaling, conversely, is ideal for studying bilateral coordination because ipsilateral mechanics can be independently controlled. In pedaling, the anterior and posterior bifunctional thigh muscles develop needed anterior and posterior crank forces, respectively, to dominate the flexion-to-extension and extension-to-flexion transitions. We hypothesized that contralateral sensorimotor activity substantially contributes to the appropriate activation of these bifunctional muscles during the limb transitions. Bilateral pedal forces and surface electromyograms (EMGs) from four thigh muscles were collected from 15 subjects who pedaled with their right leg against a right-crank servomotor, which emulated the mechanical load experienced in conventional two-legged coupled-crank pedaling. In one pedaling session, the contralateral (left) leg pseudo-pedaled (i.e., EMG activity and pedal forces were pedaling-like, but pedal force was not allowed to affect crank rotation). In other sessions, the mechanically decoupled contralateral leg was first relaxed and then produced rhythmic isometric force trajectories during either leg flexion or one of the two limb transitions of the pedaling leg. With contralateral force production in the extension-to-flexion transition (predominantly by the hamstrings), rectus femoris activity and work output increased in the pedaling leg during its flexion-to-extension transition, which occurs simultaneously with contralateral extension-to-flexion in conventional pedaling. Similarly, with contralateral force production in the other transition (i.e., flexion-to-extension; predominantly by rectus femoris), hamstrings activity and work output increased in the pedaling leg during its extension-to-flexion transition. Therefore rhythmic isometric force generation in the contralateral leg supported the ongoing bifunctional muscle activity and resulting work output in the pedaling leg. The results suggest that neural interlimb coordinating mechanisms fine-tune bifunctional muscle activity in rhythmic lower-limb tasks to ensure limb flexion/extension transitions are executed successfully.
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INTRODUCTION |
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In cat locomotion, Smith and colleagues have demonstrated that the
extremely variable activity of bifunctional thigh muscles seems to be
related to adapting to the task-specific intersegmental mechanical
demands (for review, Stein and Smith 1997
;
Zernicke and Smith 1996
). In humans, it has been
suggested that bifunctional muscles are primarily responsible for the
control of the direction of external forces (e.g., Ingen Schenau
et al. 1992
) and the fine-tuning of muscle coordination
(Zajac 1993
). Others have focused on the potential
energy efficiency of bifunctional muscles when movements are performed
with the combination of a hip flexor and knee extensor joint moment (or
vice versa) (Prilutsky et al. 1998
; Wells
1988
). Our laboratory has suggested that the bifunctional thigh
muscles are the dominant contributors to uninterrupted limb transitions (Raasch and Zajac 1999
; Raasch et al.
1997
; Ting et al. 1999
).
Pratt et al. (1996)
have proposed that this mutability
reflects a more complex range of flexor- and extensor-related inputs of
increased relative strength arising from peripheral, and perhaps central, sources to the motoneurons innervating bifunctional muscles. While bifunctional motoneurons are thought to receive excitatory inputs
from both the flexor and extensor locomotor half centers (Perret
and Cabelguen 1980
), the central influences are likely less
important because bifunctional muscle activity appears to be so closely
linked with the intersegmental dynamics and external forces
(Pratt et al. 1996
). Thus motion- and force-related
afferent information plays a critical role in shaping this complex
activity (Ingen Schenau et al. 1994
). Also, there is a
differential distribution of this peripheral input to bifunctional and
unifunctional muscles. For example, stimulation of low-threshold
cutaneous afferents produces complex mixtures of excitatory and
inhibitory responses in bifunctional muscles during the step cycle
while producing simple (flexor or extensor) responses in unifunctional
muscles (Pratt et al. 1991
).
One potential shaping influence on the activity of bifunctional muscles
that has not received much investigation is the afferent and efferent
inputs associated with the contralateral limb that are specifically
related to transitions between limb flexion and extension. Human
locomotion requires that uninterrupted transitions between extension
and flexion (and vice versa) occur in each leg and be tightly
coordinated with the performance of the opposite leg (e.g., walking
with one leg is impossible). Independent rhythm generation in each
hindlimb of spinal cats has been demonstrated both in split-belt
treadmill conditions where the legs can walk at different speeds
(Forssberg et al. 1980
) and in experiments where one
hindlimb is prevented from moving while the other continues rhythmic
behavior (Duysens and Pearson 1980
; Grillner and
Rossignol 1978
). However, it has been proposed that the central
pattern generators for the hindlimbs of spinal turtles may be part of a
shared bilateral core in which some of the neurons involved in the
pattern generation of one leg also participate in producing the normal
motor rhythm for the contralateral leg (Stein and Smith 1997
; Stein et al. 1995
). Regardless of the
existence of direct bilateral coupling of central pattern generation,
it is clear that contralateral afferent information has an important
role in shaping the ipsilateral motor pattern. For example, unilateral deafferentation in spinal cats disrupts both ipsi- and contralateral stepping (Giuliani and Smith 1987
). Thus influences from
the contralateral sensorimotor state likely affect the motor pattern of
the ipsilateral leg during human locomotion. However, whether
bifunctional motoneurons in human subjects are particularly influenced
by peripheral inputs from the contralateral leg has not been addressed.
Interlimb effects on the human locomotor pattern have been investigated
with split belt treadmills (e.g., Dietz 1994
;
Jensen 1998
) and split-crank pedaling ergometers
(Ting et al. 1998
, 2000
). The split-belt treadmill
experiments demonstrated flexibility in the timing of stance-swing
transitions and differential interlimb influences on antagonistic leg
muscle activation, but the mechanical coupling that exists between the
loading of the two legs complicates interpretation (Dietz et al.
1994
). Split-crank pedaling, in contrast, allows decoupling of
the mechanical loading (for a detailed review, see Ting et al.
2000
). Furthermore, activity in the bifunctional muscles during
pedaling is well understood in relation to the task mechanics, as
rectus femoris provides anteriorly directed leg acceleration during the
flexion-to-extension transition and the hamstrings group provide
posteriorly directed leg acceleration during the extension-to-flexion
transition (Neptune et al. 1997
, 2000
; Raasch and
Zajac 1999
; Ting et al. 1999
). Studying only the
effects during limb flexion, Ting et al. (2000)
showed
in split-crank pedaling experiments that contralateral sensorimotor state strongly influenced bifunctional muscle activity in the pedaling
leg. But bifunctional muscles principally propel the crank during the
limb transitions, not during limb flexion, and how their activity is
affected during the limb extension/flexion transitions is unknown.
The purpose of this study was to determine whether contralateral rhythmic force generation substantially shapes bifunctional thigh muscle activity during the limb transition regions in pedaling (i.e., regions where the bifunctional thigh muscles exert their primary effects on propulsion). We hypothesized that during a unilateral pedaling task rhythmic activity in the nonpedaling leg would support the ongoing timing and amplitude of bifunctional thigh muscle activity in the pedaling leg during the transition phases of the pedaling cycle. We further hypothesized that the alterations in muscle activity would contribute to improved task performance, as measured by net mechanical work done by the pedaling leg.
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METHODS |
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Fifteen healthy subjects [11 male, 4 female; ages = 30.8 ± 6.7 (SD) years; height = 1.76 ± 0.08 (SD) m; mass = 73.9 ± 9.5 (SD) kg] gave informed consent to participate in the study. The study was approved by the Institutional Review Board of the Stanford University Medical School.
Experimental setup and data collection
We developed a two-servomotor, split-axle pedaling apparatus to
reproduce the mechanical load of bilateral pedaling throughout the
whole crank cycle, not just the flexion phase (cf. Ting et al.
2000
). Because each crank is connected to its own servomotor, we were able to implement different control modes using the custom hardware and software. The cranks arms of the split-axle pedaling apparatus were uncoupled and each driven by a toothed-belt drive (4:1
ratio) from independent 9 kW servomotors (Kollmorgen B606A motor, D20
motor controller, 1-kHz servo loop; Kollmorgen Motion Technologies
Group, Commack, NY). The data acquisition and servomotor control was
implemented with LabVIEW 5.0 software. Custom real-time C software,
accessible from LabVIEW, provided dual-motor servocontrol and
data-acquisition for 32 analog channels and 4 encoder channels at a
1-kHz sample rate.
Servomotor control was implemented to produce loads on the right pedaling leg that replicated the dynamics encountered with a conventional coupled-crank ergometer (i.e., flywheel inertia, belt friction, and freewheeling). The emulated frictional load, at 60 rpm, dissipated ~80 J, and the emulated conventional-ergometer inertia resulted in an intra-cycle variation in crank angular velocity of typically ±6 rpm (not too dissimilar from pedaling a conventional ergometer).
In the coupled-crank pedaling trials, the servomotors emulated conventional two-legged coupled-crank ergometry pedaling. Thus the servomotors were programmed to fix the relationship between the two cranks, as in the one-axle crank of standard ergometry pedaling (i.e., 180° anti-phased), and to use the force each leg exerted on its crank to accelerate the "one-axle emulated " crank. The right servomotor was programmed so that the forces applied to both pedals accelerated the right crank. With the left crank maintained 180° anti-phased and the right crank responsive to forces on both pedals, there was no remaining degree of freedom, so the left crank was also responsive to the forces on both pedals.
In the pseudo-pedaling and unilateral pedaling trials, the servomotors were programmed so that the right pedal force accelerated the right crank; the left pedal force had no effect on the acceleration of either crank; and the load encountered by the right pedaling leg was identical to the load a leg encounters during conventional two-legged ergometry pedaling. The load encountered during conventional two-legged ergometry pedaling is not only the ergometer load (see preceding text), but also the load transmitted through the one-axle crank from the contralateral pedaling leg (e.g., the contralateral leg provides an assistance crank torque to lift the leg against gravity during ipsilateral limb flexion). Thus the right servomotor was programmed to also emulate the crank torque generated by the contralateral leg. A generic one-legged crank torque profile (i.e., torque as a function of crank angle) was generated from previously recorded two-legged pedaling data and used for all subjects.
In the pseudo-pedaling trials, the left crank was position-servocontrolled to be 180° offset from the right crank and the subjects were instructed to pedal with both legs just as in the coupled-crank pedaling trials. However, in contrast to coupled-crank pedaling, acceleration of the "one-axle emulated" crank only resulted from the right pedal force and not the left pedal force. The right servomotor emulated the production of crank torque by a generic left leg instead. Thus force generation in the pseudo-pedaling left leg had no mechanical effect on crank rotation. Pilot work suggested that, as long as pedaling is initiated with the right leg, subjects do not perceive pseudo-pedaling as different from coupled-crank pedaling.
In the unilateral pedaling trials, the left crank was position-servoed to remain fixed and stationary. The servomotors were programmed so that the rhythmic isometric force generated by the left leg had no mechanical effect on the right pedaling crank.
Subjects wore cleated ankle braces (DePuy Orthotech, Tracy CA) on each
leg. The left brace was free and analogous to a cleated cycling shoe
during the coupled-crank and pseudo-pedaling trials and fixed when it
was stationary during the unilateral pedaling trials. Thus the
configuration of the leg (hip and knee angles) was uniquely determined
by the crank angle (e.g., Redfield and Hull 1986
).
Subjects were seated during all trials and restrained by a hip belt to
reduce pelvis motion. Subjects sat with a forward lean of ~10°,
which is a typical trunk angle during walking (Pozzo et al.
1990
), and supported some of their torso weight on the handlebars (Ting et al. 1999
).
Normal and shear pedal forces were measured using pedal dynamometers
(Newmiller et al. 1988
). Crank and pedal angles were measured using digital optical encoders. Surface EMGs were measured from four muscles bilaterally: vastus medialis (VAS), rectus femoris (RF), biceps femoris long head (BF), and semimembranosus (SM). All
signals were sampled at 1,000 Hz. Analog RC anti-aliasing filters with
a cutoff frequency of 80 and 800 Hz were used on non-EMG and EMG
channels, respectively, to reduce high-frequency noise from the
servomotor power amplifiers (~20 kHz). The particulars of our
measurements are similar to those of our recent studies (Ting et
al. 1999
, 2000
).
Experimental trials
Five trials were collected in the following order: one
trial
coupled-crank pedaling (15-s duration); one
trial
pseudo-pedaling (15-s duration); and three randomly assigned
trials
unilateral pedaling with contralateral rhythmic isometric force
generation (35-s duration). The workload of 80 J roughly corresponds to
a moderate touring pace on flat ground (Macintosh et al.
2000). The moderate workload, combined with instructions to ask
for additional rest if fatigued, suggest that subjects were unlikely to
be affected by fatigue.
The coupled-crank pedaling and pseudo-pedaling trials were used to investigate whether pseudo-pedaling produces the same motor output in the right leg as coupled-crank pedaling.
The three unilateral pedaling trials with contralateral rhythmic isometric force generation were used to investigate the influence of contralateral sensorimotor activity on bifunctional thigh muscle activity (Fig. 1). The left crank was held stationary by its servomotor at one of three different crank angles (0, 90, and 180°, see Fig. 2) with the left foot attached to the crank by an ankle brace. To mimic the natural joint angles during pedaling, the ankle was set to neutral in the plantarflexion/dorsiflexion position except for the 180° crank position, which was set to 20° plantarflexion. We refer to the extension-to-flexion transition as the "posterior" transition because the leg is moving posteriorly during its execution. Similarly, the flexion-to-extension transition is referred to as the "anterior" transition. The subjects were instructed to time contralateral isometric force production to coincide with the time of execution of the antagonistic function by the pedaling leg. Thus isometric forces that would act to propel the crank during the anterior transition, limb extension and the posterior transition were to be executed by the contralateral stationary left leg while the pedaling right leg executed the posterior transition, limb flexion, and anterior transition, respectively (Fig. 1). The stationary contralateral leg was relaxed for the first 15 s of the trial and then it was generating isometric force for the last 20 s.
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The five experimental trials resulted in six conditions used in data analysis. The six conditions were: coupled-crank pedaling, pseudo-pedaling, unilateral pedaling with the stationary contralateral leg relaxed, and unilateral pedaling with the stationary contralateral leg in three different configurations generating rhythmic isometric force. Data from each condition of each subject were averaged over 10 consecutive crank revolutions. Note that the mean values for the "unilateral pedaling with the contralateral leg relaxed" condition were calculated from the first 15 s of each of the isometric force generation trials using a total of 30 revolutions, (i.e., 10 revolutions in each of the 3 isometric force generation trials). The mean values for the "unilateral pedaling with contralateral force generation" trials were calculated from the last 10 consecutive revolutions in the trial. Each trial used a metronome for ~10 s to establish a steady cadence at 60 rpm with data collection commencing afterward.
Data processing
Crank torque was calculated from pedal force and crank and pedal angle measurements after they were downsampled to 200 Hz and low-pass filtered using a zero-lag Butterworth filter (20-Hz cutoff for forces and 8-Hz cutoff for angles). Crank torque is the product of the crank arm length (which is constant) and the component of pedal force that accelerates the crank (i.e., the tangential crank force). Crank torque is an important indicator of mechanical output (and similarly tangential crank force) because the area under the crank torque trajectory over a crank cycle is the net external work output by that leg during that revolution. EMG signals were high-pass filtered with a Butterworth filter (20-Hz cutoff, 0 lag) to remove low-frequency servomotor noise and movement artifacts. Mean EMG signal offset was subtracted and the EMG signals were then rectified. These processed EMG signals are referred to as "EMGs."
All data (e.g., crank torque, tangential crank force, EMGs) were
referenced to crank angle, with 0° corresponding to the crank being
closest to the seat (Fig. 2). Crank
angles between 0 and 180° refer to periods of leg extension (foot
moves away from pelvis). Crank angles between 180 and 360° refer to
leg flexion (foot moves toward pelvis). We also divided the pedaling
cycle into four 90° quadrants (Fig. 2). We quantified the execution
of anterior transition, limb extension, the posterior transition and
limb flexion from data in Q1 (315-45°), Q2 (45-135°), Q3
(135-225°), and Q4 (225-315°), respectively. Each quadrant
contains the primary region where that action is executed in pedaling
(Raasch and Zajac 1999
; Raasch et al.
1997
; Ting et al. 1999
).
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For each of the six conditions, the motor pattern of the right pedaling
leg was quantified by the mechanical work output and the average EMG in
each quadrant. To facilitate comparisons between conditions, work
output and average EMG in each quadrant were normalized. Normalized
work output in a quadrant was calculated by dividing the work output in
the quadrant by the total mechanical work output over the crank cycle.
The normalized average EMG in a quadrant (of each condition) was
calculated by dividing the average EMG in that quadrant by the average
EMG in the quadrant where the muscle primarily contributes to task
performance during coupled-crank pedaling (see following text). Thus a
normalized average EMG in a quadrant >1.0 indicates that the activity
of that muscle was facilitated relative to coupled-crank pedaling, and
a value <1.0 indicates a reduction (e.g., a value of 2.0 indicates 100% facilitation; a value of 0.5 indicates a 50% reduction). Based
on our previous work (Neptune et al. 1997
, 2000
;
Ting et al. 1999
), we considered the primary
contribution of RF to occur in Q1; VAS to occur in Q2; and BF and SM to
occur in Q3.
Crank force of the left leg was also analyzed to confirm that force production was rhythmic and occurred in the specified quadrant. Average tangential crank force in each quadrant (as defined by right crank angle) was calculated instead of work output because no mechanical work is done when the crank is stationary. Left leg average EMGs coincident with each pedaling leg quadrant were also calculated to confirm excitation of the muscles that contribute to production of crank torque during that quadrant during pedaling.
Data analysis
Normalized work output and normalized average EMGs were analyzed in each quadrant to answer our primary research question: does contralateral force generation alter bifunctional thigh muscle activity in the limb transition regions? We performed a two-factor ANOVA analysis (blocked by subject) to test for differences in the average EMG of each muscle in the pedaling leg during its primary quadrant of activity (i.e., Q1 for RF; Q2 for VM; and Q3 for BF and SM) for average EMG of each muscle and differences in the mechanical work output during the two transition quadrants (Q1 and Q3). Dunnett's post hoc test (P < 0.05) was used to test for differences between the mean of the reference condition (unilateral pedaling with the contralateral leg at rest) and that of each other condition (3 conditions of unilateral pedaling with contralateral isometric force generation).
Normalized work output and normalized average EMGs were analyzed to answer two additional questions to verify our experimental design: did subjects use the same motor pattern in the right leg during pseudo-pedaling as during coupled-crank pedaling? We again performed a two-factor ANOVA analysis (blocked by subject) to identify mean differences in the mechanical work output and the average EMGs of the right leg in each quadrant. The second question was did the subjects execute the contralateral force generation as directed? We performed a two-factor ANOVA analysis (blocked by subject) for each of the three contralateral isometric force generating conditions to identify mean differences in the left leg crank force in the targeted quadrant compared with each of the other quadrants. Dunnett's post hoc test (P < 0.05) was used to test for differences between the mean of the target quadrant and that of each other quadrant.
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RESULTS |
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The motor pattern of the right pedaling leg was virtually
identical in pseudo-pedaling and coupled-crank pedaling. No differences in mechanical work production (Fig. 3) or
in EMGs existed in any of the four quadrants between coupled-crank
pedaling and pseudo-pedaling (P > 0.05). The EMG
patterns (Fig. 4) were also similar to
those previously reported during bilateral (coupled-crank) pedaling on
a conventional ergometer (e.g., Neptune et al. 1997
;
Ting et al. 1999
). Notice that group averages of BF and
SM activity do not show a strongly phasic pattern and exhibit high
variability. However, inspection of data from individual subjects
reveals that nearly all subjects do indeed exhibit phasic activity,
which apparently is masked in the group averages because of the high
variability found among subjects in onset and offset of BF and SM
activity (note that comparisons are done between trials for individual subjects and the group data are only shown for illustration). Because
these muscles are known to be quite variable (Ryan and Gregor
1992
), the EMGs found in our study reflect a behavior
consistent with that of previous studies. Because the motor pattern in
pseudo-pedaling and coupled-crank pedaling was identical, we concluded
that the split-axle servomotor system emulated well both the load of a conventional ergometer and the crank torque load typically produced by
a contralateral pedaling leg.
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The subjects were successful in generating the desired rhythmic
isometric force with the contralateral leg while the right leg pedaled.
Subjects produced significantly greater tangential crank force in the
targeted quadrant (P < 0.05) than in the other three
quadrants (Fig. 5), with the only
exception being that Q4 was not greater than Q1 for the extension
isometric condition. Furthermore, the dominant muscles generating the
tangential crank force, as assessed by EMG (Fig. 5), are those known to
produce the tangential crank force when a pedaling leg is in the same configuration (Neptune et al. 2000
; Raasch et al.
1997
). Thus the isometric force was produced predominantly by
the same muscles and would have accelerated the crank during the region
had it not been fixed in place. Therefore we use "contralateral
anterior transition (or extension or posterior transition) force
generation" to refer to the contralateral leg generating rhythmic
isometric force with the same muscles the leg does in pedaling when it
is in a configuration corresponding to where the anterior transition (or extension or posterior transition) is performed.
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Bifunctional muscle activity and crank work output increased significantly in the pedaling leg when the stationary contralateral leg generated rhythmic anterior or posterior transition force [e.g., Fig. 6, RF increases in Q1 (see boxed region) compared with RF when contralateral leg (CL) is relaxed; BF and SM increase in Q3]. Contralateral anterior transition force generation increased by 42% the percentage of the total work done by the pedaling leg that was done in Q3 (from 26 to 37%, P < 0.0001), and the increased work was associated with activity increases of 145% in the bifunctional biceps femoris and 124% in semimembranosus (135-331%, P < 0.0001; 122-273%, P < 0.0006; note percentage is relative to Q3 average EMG during bilateral pedaling; Fig. 7). Contralateral posterior transition force generation increased by 175% the percentage of the total work done in the pedaling leg that was done in Q1 (from 4 to 11%, P < 0.0001), and the increased work was associated with 76% increased activity in the bifunctional RF (116-204%, P < 0.0006; note percentage is relative to Q1 average EMG during bilateral pedaling) (Fig. 7).
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There were no significant changes in bifunctional muscle activity and crank work output in the pedaling leg when the stationary contralateral leg generated rhythmic extension force. However, there were observed minor increases in all bifunctional muscle activity and associated crank work output. Contralateral extension force generation increased RF activity in Q1 and increased BF and SM activity in Q3. The increased bifunctional muscle activity in Q1 and Q3 were associated with an increase in work output in those quadrants corresponding to the limb transitions.
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DISCUSSION |
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Mutability of bifunctional muscle activity as a result of contralateral force generation
Bifunctional thigh muscle activity, which is principally
responsible for uninterrupted anterior (limb flexion-to-extension) and
posterior (limb extension-to-flexion) transitions, was highly mutable
as different conditions of contralateral isometric force generation
resulted in dramatically different levels of EMG activity. The anterior
transition is predominantly performed by RF and the posterior
transition by hamstrings (Neptune et al. 2000
;
Raasch et al. 1997
; Ting et al. 1999
). We
found that contralateral isometric force generation enhanced
significantly the execution of the limb transitions of the ipsilateral
pedaling leg, as assessed by mechanical work done during the limb
transitions and the activity of the bifunctional muscles. Specifically,
we found that the rhythmic isometric generation of the contralateral
anterior (or posterior) transition force significantly increased the
execution of the posterior (or anterior) transition of the ipsilateral
pedaling leg. A similar but much less dramatic increased execution of
the anterior and posterior transitions occurred in the pedaling leg with rhythmic isometric contralateral extension force generation. Further, when any of the three contralateral isometric forces were
generated, the excitation of each of the ipsilateral bifunctional muscles always increased (although it did not always reach
significance) in the primary phase where it contributes most to
pedaling performance (e.g., crank output). These results suggest that,
in humans, contralateral sensorimotor activity strongly facilitates the
bifunctional muscle execution of the lower limb anterior and posterior transitions.
In contrast, the observed changes in activity of the unifunctional vastus medialis were much smaller in magnitude and much less common. Thus the results suggest that bifunctional muscles were controlled differently than the unifunctional muscles that execute limb extension.
Investigation of contralateral influences mediated via interlimb neural pathways was possible because the split-axle two-servomotor system eliminated the mechanical transmission of forces from one leg to another through the crank and allowed the pedaling leg to experience a load identical to conventional pedaling. The pseudo-pedaling condition allowed the contralateral leg to "participate" in bilateral pedaling (e.g., it was antiphased to the ipsilateral leg, and could generate force, as if pedaling) while the ipsilateral pedaling leg remained isolated from the mechanical performance of the contralateral leg (i.e., any force generated by the contralateral leg had no effect on rotation of either crank). We found no differences in the EMG or pedal force data for the right leg between pseudo-pedaling and crank-coupled (normal) pedaling. Thus the servomotor system reproduced the mechanical load on the pedaling leg during conventional bilateral pedaling. We were able to attribute the effects of the contralateral leg force generation to interlimb neural pathways because of the ability of our servomotor apparatus to replicate the two-legged mechanical load during unilateral pedaling, a mechanical decoupling not possible during conventional two-legged pedaling or walking, even on a split-belt treadmill.
Possible influences unrelated to normal control of pedaling
We speculate that the strong enhancement of the ongoing timing and
amplitude of bifunctional muscle activity due to the contralateral isometric force generation reflects an influence of sensorimotor activity that is similarly operational during normal pedaling. However,
the influence may instead be through circuitry that is either distinct
from that used in pedaling generation or gated differently than during
pedaling. For example, it has been shown in the upper limbs that
rhythmic contralateral isometric force generation strongly influences
the muscle activation profile and movement pattern of a rhythmically
moving ipsilateral limb. However, the influence on the stability
characteristics of the coordination dynamics differed from the
influence on the stability characteristics when both limbs were
isometric or when both limbs were moving (Peper and Carson
1999
). A suggested mechanism for this differential effect on
stability is the presence of spinal mechanisms that modulate the gain
of transmission to the motoneuron pool (via both afferent and
descending pathways) differentially during isometric and shortening
contractions. In particular, the gain of transmission of afferent input
from the contralateral limb may differ when the ipsilateral limb is
moving dynamically as opposed to generating isometric force.
Some of the changes in coordination occurring when only one leg pedals
could be due to task-dependent differences in descending drive. For
example, Oda (1997)
found evidence that the bilateral strength deficit in human upper limbs (reduced maximal force output of
one limb when comparing bilateral vs. unilateral performance) was
associated with reduced premotor cortex activation. The implication was
that the force deficit between the two conditions also resulted from
changes in the motor command to an arm instead of from changes located
completely at the level of the spinal circuitry. If similar changes in
motor command occur when unilateral pedaling with the contralateral leg
relaxed is compared with unilateral pedaling with contralateral force
generation, we would be unable to differentiate them from changes in
the circuitry controlling pedaling. Changes in supraspinal input could
also be due to some degree of coupling of the motor commands at the
programming level when the two legs are performing different tasks
(Steglich et al. 1999
). Another source of change in the
net descending input to the ipsilateral leg could be internal
collaterals linked to the contralateral motor command that provide
anticipatory control to ipsilateral postural muscle networks to
compensate for the ipsilateral mechanical consequences of the intended
contralateral action (Gauthier et al. 1992
;
Paulignan et al. 1989
). In our experiment, subjects were
secured to the seat (e.g., Ting et al., 2000
) with the
goal of minimizing the possible effect of bilateral coordination
mechanisms concerned with pelvis stability.
Implications for neural control of limb transitions
In humans, the bifunctional thigh muscles are extremely well
suited to contribute to limb transitions between flexion and extension
because of their ability to accelerate the foot (the end point of the
leg) anteriorly (RF) or posteriorly (hamstrings) with respect to the
pelvis. When movement is not allowed (e.g., quiet stance or isometric
force generation), the bifunctional muscle action instead results in
directing the ground contact force in the anterior and posterior
directions. Also, the dominant periods of bifunctional muscle activity
during normal walking occur during limb transitions, from late swing
into the early loading phase of stance for hamstrings and from the
preswing period of late stance phase into initial swing for RF (e.g.,
Perry 1992
; Winter 1991
).
The results of this study are consistent with the hamstrings and RF femoris muscles for each leg being organized into an anterior-posterior transition reciprocal pair that receives strong facilitation for the amplitude of ongoing activity due to the contralateral sensorimotor activity. Each muscle contributing to the execution of anterior and posterior transitions showed increased excitation due to contralateral posterior and anterior isometric force generation, respectively [Fig. 7; e.g., RF femoris excitation increased during the anterior transition (Q1) as a result of contralateral posterior transition force generation]. Because contralateral motor activity cannot be isolated from loading related sensory feedback, it is not possible to determine whether the sensorimotor activity influence is most strongly related to efferent or afferent activity.
Grillner (1981)
hypothesized that the motor pattern for
a leg might result from the combined activity of several unit burst generators, which he proposed would drive the flexors or extensors at
one joint. Further, the unit burst generators could be organized as
reciprocal pairs of anatomical antagonists at each joint. A unit
burst-generator organization has also been used to describe pattern
generators in several preparations (e.g., in turtles, Stein et
al. 1995
).
We propose that a framework based on the unique action that the
bifunctional muscles have on accelerating the endpoint of the limb
orthogonal to the extension-flexion pair will prove more functional
than the single-joint oriented framework of a conventional unit burst
generator organization. We propose the anterior-posterior bifunctional
muscle pair organization because we feel that the bifunctional muscles
contributing to this pair do not fit meaningfully into the single-joint
oriented framework. Kumamoto et al. (1994)
have
presented mechanical engineering analyses (theoretical and a robot
implementation) whose results suggest that the existence of an
antagonistic pair of bifunctional muscles positively contributes to the
compliant properties of a multiarticular limb and allows independent
control of position and force at the limb end point.
In conclusion, contralateral sensorimotor activity strongly facilitates the activity of bifunctional thigh muscles perhaps because of their importance to the execution of the leg extension-flexion transitions. Further investigation into the control of bifunctional muscles during locomotion should consider the influences of contralateral sensorimotor activity because it is especially well suited for fine tuning the coordination of effective transitions between extension and flexion in a reciprocal gait. Human walking mechanics are inherently bilateral and strong interlimb coupling is needed to ensure that both legs are not in extension phase or flexion phase simultaneously. We believe that a better understanding of the influence of sensorimotor activity on the contralateral motor pattern has the potential to provide valuable new directions in the rehabilitation of persons with neurological deficits.
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ACKNOWLEDGMENTS |
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We thank D. Schwandt and J. Anderson for designing and building much of the experimental apparatus and J. Harvey and M. Slavin for assistance with the experimental data collection and analysis. We also thank L. Worthen for help with data analysis.
This work was supported by National Institute of Neurological Disorders and Stroke Grant NS-17662 and the Rehabilitation Research and Development Service of the Department of Veterans Affairs.
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FOOTNOTES |
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Address for reprint requests: S. A. Kautz, Rehabilitation R and D Center (153), VA Palo Alto Health Care System, 3801 Miranda Ave., Palo Alto, CA 94304 (E-mail: kautz{at}roses.stanford.edu).
Received 11 February 2002; accepted in final form 22 May 2002.
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REFERENCES |
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mechanical engineering model analyses.
Hum Move Sci
13:
611-634, 1994.This article has been cited by other articles:
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