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1Human Movement Laboratory, Centro Studi Attività Motorie, Fondazione Salvatore Maugeri, Scientific Institute of Pavia, and 2Department of Experimental Medicine, Section of Human Physiology, University of Pavia, Pavia, Italy
Submitted 10 May 2004 ; accepted in final form 10 August 2004
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locomotion; reference frame
Less amazing, but certainly nonnegligible, effects can be produced by neck muscle vibration in normal subjects, in particular on body segment orientation and body sway during quiet stance and on walking features. In standing subjects, neck muscle vibration induces body tilt and increases sway, suggesting that posture is organized with respect to a "body schema," to the construction of which the spindle input from the neck contributes together with eye and skeletal muscle (15, 23, 32, 38, 44, 54, 55). During stepping in place, bilateral vibration of the dorsal neck muscles produces an involuntary forward stepping without modifying the stepping frequency and in treadmill locomotion produces an involuntary steplike increase of walking speed (33). One-sided lateral neck muscle vibration, in the absence of vision, produces deviation of the trajectory during normal walking (3) and body rotation during stepping in place (4); under both conditions, the deviation is opposite to the vibrated site. On a different vein, Goodwin et al. (20) originally described proprioceptive illusions induced by muscle vibration. It was later shown that neck muscle vibration also elicits apparent motion of a stationary visual target and deviation of the perceived "straight ahead," possibly by producing a change in the egocentric body-centered coordinate system (1, 37, 62).
Muscle vibration is certainly an artificial situation, with its major advantage being the good selectivity of its effects on the muscle spindles' primary terminations (11). Are there "natural" stimuli able to elicit similar effects, e.g., changes in length of the neck muscles connected with head posture? Head and eyes systematically deviate toward the future direction of the curved trajectory (21), suggesting an anticipatory role of the neck muscle for body steering while walking. Body sway increases when subjects stand with their heads turned or extended and their eyes closed (5, 58). Early observations suggested that cervical proprioceptive input could affect the direction of body sway by acting on the central vestibular system (28). More recently, it has been shown that neck input has an influence on the direction of body displacement induced by galvanic vestibular stimulation (18). Moreover, natural proprioceptive stimulation (head rotation) affects the perception of the head position, object localization, and movement in the visual space (46, 48). It has also been shown that vestibular-proprioceptive interactions play a role in self-motion perception in addition to postural control (47).
On the other hand, disturbances of the neck musculature could bring about dizziness or unsteadiness, the so-called cervicogenic dizziness (6). A report by Schieppati et al. (56) showed that prolonged contraction of dorsal neck muscles, bilaterally, can alter balance control through a mechanism connected to fatigue-induced afferent inflow. Strong and prolonged neck muscle contractions have also been recently shown to produce postural responses (14). Fatigue-related sensory input may be the result of an increased outflow from the free nerve endings as a consequence of ionic or metabolic changes (elevated interstitial potassium concentration or insufficient oxygen availability due to reduced blood flow) (19, 52). Muscle fatigue can indeed affect joint position sense (Refs. 12, 57, 60; for a recent review, see Ref. 63), and abnormal cervical pain-related input is able to significantly alter postural control (35).
In this study, we have tested the hypothesis that dorsal neck muscle fatigue could affect the reference system for the orientation of body position in space. In particular, the effects of a fatiguing contraction have been tested on the capacity of stepping in place. This task reproduces several features of normal walking (8), such as the cyclic single-leg support of the body and the need for accurate control of balance. It can also be more easily captured by a movement-analysis system for extended periods of time than by normal locomotion. As such, this task should be at least as sensitive as normal floor walking to possible disorientation-producing stimuli. Perhaps, it could be even more sensible than normal walking, because, contrary to the latter, it lacks the advantage given by the kinetic energy of the body progressing in one direction. The stepping-in-place task has been previously employed as a test for vestibular deficits and balance problems, even if its reliability in this context has been repeatedly challenged (50). Because the isometric contraction of the dorsal neck muscles was bilateral and symmetrical, we assumed that postcontraction changes in the body position during the stepping-in-place test could be detected along the subject's sagittal plane, much like it occurred as a consequence of bilateral dorsal neck muscle vibration, which induced an increased velocity in the stepping progression along the straight-ahead direction (32).
| METHODS |
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Procedures.
Subjects were asked to step in place at a self-selected pace, blindfolded in a dim-lighted room. Before the start of the acquisition session, subjects were free to step in place with eyes open to feel confident with the maneuver. Then four blocks of stepping trials were acquired, each composed of five successive trials. Each trial lasted 30 s. After each trial, the subjects were repositioned at the starting point by one experimenter before the next trial began. It was checked that, at the beginning of each trial, the subjects started from the same initial standing position, with the orientation of feet, trunk, and head aligned. The starting signal was given by the experimenter after a verbal warning signal. The four blocks were the control, postcontraction 1, recovery, and postcontraction 2 blocks. After the control and recovery blocks, subjects performed a 5-min-long tonic isometric bilateral contraction of the dorsal neck muscles against a load (see Isometric contraction of dorsal neck muscles) while standing on the starting spot. At the end of this period, subjects immediately started the first trial of the postcontraction (1 or 2) block. A rest period of
30 min separated the postcontraction 1 block from the recovery block. The subjects' preparation with the markers and electrodes took
30 min. The entire stepping session lasted
1 h. The same subjects have also been recruited in an additional session, in a different day, when they were asked to step in place and again perform four blocks of five subsequent stepping trials each, but without tonic isometric contraction of the dorsal neck muscles (no-load session). This procedure was performed as a control experiment to check that the repetition of the stepping trials per se produced no effect on body displacement and to help in interpreting highly variable data.
Isometric contraction of dorsal neck muscles. A large belt was passed around the head just above the ears, and a cable was fixed to it frontally and medially in correspondence with the forehead. The cable passed through a pulley fixed at a 1-m distance at head height. The pulley was part of a versatile gym training column placed in front of the subject. Its vertical position was adjustable so that the line of the pulling action was horizontal. The other end of the cable was fixed to an adjustable mass. The thorax of the subject leaned against a padded vertical support firmly fixed to the cable column so that the action of the mass did not displace the trunk and overall body posture. No contraction of the body extensor muscle chain below the support level was required, since there was no need to push the trunk or whole body backward, owing to the thorax support, which nullified the body forward-pulling action of the mass. Therefore, the muscle action was broadly limited to the neck extensors, and the subject counteracted the head-flexor torque exerted by the mass by contracting the dorsal neck muscles. The subjects had visual feedback of the head position by way of a target fixed to the cable, which had to remain coplanar with a reference fixed to the column. This was sufficient enough to ensure negligible head pitch during the head extensor effort against the head-flexor torque produced by the mass. For each subject, the mass was chosen so that it represented about one-third of the maximal voluntary contraction (MVC; 25.5 ± 8.5 kg), i.e., 9.5 ± 2.0 kg, equal to 34.9 ± 9.5% of MVC. MVC was the highest force value exerted during a 10-s period of neck extension, during which the subject was encouraged to produce the strongest possible effort. This was measured by means of a mechanical dynamometer placed in series between the head belt and the pulley. During the fatiguing periods, the subject had to counteract the applied mass for 5 min. At the end of this period, the mass and the padded support were quickly disconnected and removed.
Electromyogram recording and processing. Electrical activity of the dorsal neck (splenius) and ventral neck (sternocleidomastoid) muscles (from both right and left side) was recorded using bipolar prejelled surface electrodes, with a longitudinal distance of 1 cm between the recording spots. The electrode pairs were placed on the bellies of the dorsal neck muscles, 2 cm from the midline and 4 cm below the cranial insertion, and on the belly of the sternocleidomastoid, about halfway from its proximal and distal insertion points. The electrodes were left in place during the entire recording session. The signals were differentially amplified (x1,000), filtered (cutoff frequency of 500 Hz), and acquired at a sampling frequency of 1 kHz. Data were recorded by the Telemg Multichannel Electromyograph System (Bioengineering Technology Systems). The signals were acquired for the initial 10-s period of each minute of the 5-min contraction period. The analysis of the electromyogram (EMG) was performed with the Acknowledge software (Biopac), and the EMG amplitude (AMP) of the filtered and integrated signal and the signal's median power frequency (MF) were calculated over the recorded epochs (49). The EMG activity plots of the splenius and sternocleidomastoid muscles, during the 10 s of minute 1 and the 10 s of minute 5, are shown in Fig. 1.
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This index is influenced by two variables that are known to be affected by the fatigue phenomenon (49). To check that both variables were influenced by fatigue in the present population, we plotted the EMG median frequency vs. amplitude for each subject and for each minute of the 5-min period of tonic contraction. Figure 2A shows four examples of these relationships and the best-fit line for each of them. In two cases, when the median frequency decreased, the amplitude increased. In the other two cases, the best-fit line was less steep or flat. The angular coefficients of the best-fit lines were thus calculated for each subject and plotted against the corresponding indexes of fatigue. In Fig. 2B, the result of this procedure is reported. The strong linearity of this scatter [y = 3.56x + 3.66; r2 = 0.91; F(1,8) = 87.035; P = 0.00001] is in favor of the appropriateness of the use of an index that combines both EMG variables.
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For each group, intermediate indexes of fatigue were also calculated by means of the above formula for the successive minutes, where the minute 5 data were sequentially changed with the data of minutes 2, 3, and 4. Figure 3A reports the results for the fatigue group, and Fig. 3B reports results for the no-fatigue group. It can be appreciated that, in the former group, the intermediate EMG indexes of fatigue monotonically increased from the first to the last minute of the contraction period, whereas the same indexes remained stationary in the latter group.
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Kinematic recording and processing. Body movement was recorded by the ELITE System (Bioengineering Technology and Systems) with eight infrared cameras. The reflective spherical markers were attached to the skin on the right and left anterior-superior iliac spine and to an adjustable helmet in these following positions: vertex of the head, forehead (the central point between the two temples), and lateral left and lateral right positions (the left and right temples, respectively). The helmet was removed during the fatiguing procedure and then repositioned, always in the same position, during the stepping trials. Before the helmet was removed, a sign of its position was made on the skin.
The markers' positions were sampled at a frequency of 100 Hz. The body movement was obtained by computing the midpoint (average of the coordinates) between the left and the right anterior-superior iliac spine marker positions. The resulting point, which was labeled body midpoint, could be considered a good approximation of the displacements of the center of mass. In the working space, subjects were positioned at the starting point with their mediolateral (M-L) body axis along the working space x-axis and their anteroposterior (A-P) body along the y-axis. Figure 5A shows an example of body midpoint path in the working field during a stepping-in-place trial. The x values of the body midpoint path vs. time and the y values vs. time were fitted with a polynomial function, the order of which minimized the mean squared error (Fig. 5B). In most cases, the algorithm chose a 10th-order polynomial as the best fit. By plotting the x vs. y interpolating polynomials, we obtained the interpolated path. In Fig. 5A, this is superimposed on the acquired body midpoint path. The mean squared errors have been taken as a measure of the body midpoint sway (in the x- and y-axes) around the main direction of displacement. The displacement of the subjects in the working space was quantified by the A-P and the M-L displacement of the body midpoint on the x-y plane. A-P displacements were calculated as the differences between the y coordinates of the body midpoint at the starting point and at the final point, whereas the M-L displacements were the differences between the x coordinates of the same points.
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Head movements were computed on the basis of the angle between the line joining the helmet vertex to the helmet frontal marker and the vertical axis versor (head pitch), and on the basis of the angle between the line joining the helmet lateral right marker to the helmet lateral left marker and the vertical axis versor (head roll).
Cadence recording. The cadence was recorded by the PedarMobile Insole System (Novel, München, Germany). The analog signal provided by the insole sensors was sampled at a frequency of 50 Hz, and the data were stored in the memory card to leave a subject free to move without cable constraints. After each acquisition block, the data were stored on a personal computer. The cadence was computed from the number of stance phases over time.
Statistical analysis. To test the significance of the differences in the computed variables and parameters across the stepping trials of the control block (before isometric contraction), the postcontraction 1 block, the recovery block, and the postcontraction 2 block, a two-way repeated-measures ANOVA (blocks and trials) was used. This analysis was separately performed on the two groups of subjects (fatigue and no-fatigue groups), divided on the cluster analysis mentioned before. To check for a significant main effect of fatigue on A-P displacement for group, both groups were analyzed together in a three-way ANOVA (fatigue vs. no-fatigue group, blocks and trials). A two-way repeated-measures ANOVA (blocks and trials) was used to test for repetition effects on A-P displacement during stepping in place in the no-load trials; all subjects collapsed. A three-way repeated-measure ANOVA (load vs no-load, blocks and trials) in the group of five subjects who showed the highest EMG fatigue indexes was used for assessing possible repetition effects, as opposed to fatiguing tonic contraction effects, on A-P displacement. When appropriate, the Newman-Keuls test was used for post hoc comparisons. Between the two groups, the mean indexes of fatigue and the corresponding mean indexes of A-P displacement were compared by means of the Student's nonpaired t-test. When necessary, a linear regression analysis was carried out. The level of significance at which the null hypothesis was rejected was always equal to P < 0.05.
| RESULTS |
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The corresponding mean indexes of displacement (A-P index) were for the fatigue group 0.49 ± 0.33 and for the no-fatigue group 0.0 ± 0.17 (P < 0.05). Figure 8 shows the A-P indexes calculated for the first stepping trial after the first isometric contraction period vs. the fatigue index of each subject. It is possible to appreciate that, when the fatigue index assumed values lower than 1.5, the A-P index was very close to zero, whereas when the fatigue index was greater than 1.5, the A-P index assumed much lower, negative values. It can also be seen that, despite a considerable variability, there was a significant inverse relationship between the two indexes [the equation of the best-fit line was y = 0.41x + 0.46; R2 = 0.56; F(1,8) = 10.473; P = 0.011].
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In the subjects showing only mild or no sign of fatigue, the A-P displacements remained unchanged across the different blocks and trials [2-way ANOVA; blocks, F(3) = 0.849, P = 0.493; trials, F(4) = 0.775, P = 0.557]. There was a significant interaction between blocks and trials [F(12) = 2.029; P = 0.042]: the post hoc test showed a significant effect limited to the difference between the first trial of the last block (postcontraction 2 blocks) and the last trial of the control block (P = 0.030).
A-P displacement of body midpoint under no-load condition. When the same subjects stepped in place (4 blocks of 5 subsequent stepping trials each), but this time without any interposed period of head extensor effort (no-load session), no effect of the repetition of the stepping trials on the body A-P displacement was seen. The two-way ANOVA applied to the A-P displacement of all block and trials in all subjects collapsed (n = 10) gave neither a significant main effect [blocks, F(3) = 2.295, P = 0.100; trials, F(4) = 1.116, P = 0.364] nor a significant interaction [F(12) = 1.05; P = 0.409]. The ANOVA was then applied to the subjects belonging to the fatigue group alone, with the aim of comparing their A-P displacement between the two experimental conditions (isometric contraction vs. no load). The three-way ANOVA (condition, block, trial) gave no significant effect for conditions [F(1) = 0.008; P = 0.932] and trials [F(4) = 0.213; P = 0.930] but a main effects for blocks [F(3) = 3.603; P = 0.028]. There was a significant interaction (condition, block, trial) [F(12) = 1.983; P = 0.034]. In particular, the post hoc test indicated that the first trials of the second and fourth block of the load condition exhibited a smaller A-P displacement (second block, P = 0.049; fourth block, P = 0.001) than the corresponding trials of the no-load condition.
Mean M-L displacement of body midpoint in the two groups of subjects: the effect of fatigue. The M-L displacements, computed as the difference between the x coordinates of the starting and final points, were always small in the control trials in the two groups. This behavior remained unchanged in all subsequent trials, independently of the experimental condition and group (Fig. 9, C and D). The two-way ANOVA applied to the fatigue group gave neither significant main effects [blocks, F(3) = 0.631, P = 0.609; trials, F(4) = 0.573, P = 0.686] nor significant interaction [F(12) = 1.903; P = 0.058]. The two-way ANOVA applied to the no-fatigue group gave neither significant main effects [blocks, F(3) = 1.603, P = 0.240; trials, F(4) = 1.835, P = 0.172] nor significant interaction [F(12) = 0.342; P = 0.977]. To make sure that the subjects did not proceed along a winding trajectory during the stepping-in-place trials to eventually stop at a point lying along the initial straight-ahead line, the mean standard deviation of the interpolated path was computed. As shown in Fig. 9, E and F, neither contraction condition produced significant changes in the mean standard deviation. The two-way ANOVA applied to the mean standard deviation values of the interpolated path in the fatigue group gave neither significant main effects [blocks, F(3) = 0.205, P = 0.891; trials, F(4) = 0.176, P = 0.947] nor significant interaction [F(12) = 0.417; P = 0.949]. The two-way ANOVA applied to the no-fatigue group gave neither significant main effects [blocks, F(3) = 1.23, P = 0.341; trials, F(4) = 2.146, P = 0.122] nor significant interaction [F(12) = 1.949; P = 0.513]. Therefore, we conclude that subjects did not significantly deviate from a straight pathway under any experimental condition.
Body sway during stepping in place. There were no a priori reasons for excluding the possibility that fatigue increased the body sway during stepping in place and that such instability, in turn, could be at least in part be responsible for the observed changes in the path of the postcontraction stepping trials. The body midpoint sway around the main body midpoint direction of displacement was evaluated on the basis of the mean squared error made by the path interpolation. This parameter estimated how much the actual path differed from the interpolated path and, therefore, to what extent the subjects swayed on the spot by moving the body weight from one foot to the other during stepping in place. As shown in Fig. 10, A and B, fatigue did not increase body sway, neither in the A-P axis nor on the M-L axis. The two-way ANOVA applied to the A-P data of the fatigue group gave neither significant main effects [blocks, F(3) = 0.404, P = 0.753; trials, F(4) = 0.786, P = 0.551] nor significant interaction [F(12) = 0.779; P = 0.668]. The two-way ANOVA applied to the M-L data of the fatigue group gave neither significant main effects [blocks, F(3) = 2.013, P = 0.166; trials, F(4) = 1.013, P = 0.430] nor significant interaction [F(12) = 1.907; P = 0.057].
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| DISCUSSION |
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Because the EMG can furnish an indirect measure of fatigue in the muscle of interest under conditions of controlled isometric contraction (64), an EMG index was used to quantify the muscle contraction level across the subjects. This index depended on EMG changes in both amplitude and median frequency occurring during the period of isometric dorsal neck muscle contraction. Indeed, the changes in these two variables were highly correlated within several subjects of our population, regardless of gender and weight, whereby the EMG amplitude gradually increased together with a gradual decrease in EMG median frequency during the contraction period. In other subjects, this correlation was not evident, since EMG amplitude and median frequency showed no sizeable changes during the contraction period. The relationship between EMG index and fatigue was also shown by the significant regression, across 13 subjects, between the percent decrease in MVC produced by the tonic contraction and the fatigue index. On these bases, we assumed that the EMG index was a good marker of muscle fatigue, and we used it for dividing all our subjects into two subgroups.
In the subjects showing EMG signs of neck muscle fatigue, the forward displacement during the stepping-in-place trials proved to be much reduced (to 32%, on average) immediately after the 5-min period of tonic contraction with respect to the stepping trials performed under control conditions. Some subjects even stepped in the backward direction. This behavior was obvious only in the first trial immediately after the fatiguing period, a sign of relatively rapid recovery from the fatigue effects, in keeping with recent reports from other investigations (16). However, it was reproduced and even enhanced in the first trial of the second series of the stepping trials performed after the second fatiguing session, where the average displacement was in the backward direction. This would point to a residual effect of the first fatiguing contraction that had not completely vanished at the end of the recovery period of 30 min and added to the effects of the second fatiguing contraction (67). Shorter bouts of back muscle fatiguing contraction recover earlier (41). This behavior was not obvious in those subjects for whom dorsal neck muscle contraction did not show or showed only minor EMG signs of fatigue.
All subjects also participated in an additional session, when they were asked to step in place and perform the same sequence of blocks and trials but without the tonic isometric contraction of the dorsal neck muscles (no-load session). The repetition of the stepping trials per se did not produce significant effects on the body displacement. This strengthens the notion that the cause of the observed reduced forward progression or backward displacement was the neck muscle contraction rather than some process connected with the repetition of the trials or with the feedback received by subjects being repositioned at the starting point after each trial.
When we searched for a graded change in the body progression along the sagittal plane by plotting the A-P index of displacement against the EMG index of fatigue, it turned out that, despite a considerable variability (likely connected to individual anthropometric characteristics, to peculiarity of the stepping task, and to the magnifying effects of the ratios used for computing the indexes), the relevant changes in the displacements along the sagittal plane after contraction were again evident only in the subjects in whom the contraction produced clear-cut EMG signs of fatigue. This finding is also in favor of a rather selective role of fatigue, rather than prolonged contraction per se, in producing the effects and also strengthens the EMG criteria for separating the subjects into two groups.
Body unsteadiness during stepping? Dorsal neck muscle contraction, be it fatiguing or not, did not produce abnormal oscillations around the interpolated stepping path of the body midpoint during stepping, which would happen if a subject's body midpoint became unusually unsteady around the mean position. This might have been assumed on the basis of a previous study, in which dorsal neck muscle fatigue was able to produce moderate but significant increases in body sway during quiet stance (4). It should be noted, however, that the increase in body sway during quiet stance that was described in that paper was not associated with any major change in the center of foot pressure (forward, backward, or sideways), which might have entrained directional effect in the body displacement during the stepping in place. However, any correspondence between body oscillations under static (quiet bipedal stance) and dynamic condition (stepping in place) must be considered with caution, because in the latter case balance control heavily depends on the alternate shift of the body weight on a single support.
The fatigue-induced changes in the A-P displacement during the stepping-in-place task were not dependent on changes in head posture. In fact, head position did not change postcontraction, either in pitch or roll angle, either with or without signs of fatigue. The fact that the head remained in place despite the fatigue of the head extensor muscles was likely dependent on the very low level of force necessary to counteract the gravity-dependent head flexion, a level of force easily produced even by heavily fatigued muscles. Possibly, the production of the appropriate dorsal neck muscle tone was also aided by a mechanism of minimization of the change in the discharge from the gravito-inertial labyrinthine receptors. Certainly, vision could not help, since the subjects were blindfolded during the stepping phase. In turn, the absence of excessive body midpoint oscillations during stepping could be favored by a mechanism of head-referenced body stabilization, the importance of which in the postural control system and inertial guidance of locomotion has been already emphasized by Pozzo and coworkers (53).
Putative neural mechanisms. Neck muscles are surely central in the construction of a reference frame for movement in space. Such a role is apparently not played by the leg muscles involved in the production of body movement, at least as indicated by the minor effect of bilateral triceps surae vibration during walking (13). It is therefore in that light that we would like to propose an explanation of the observed phenomenon. In so doing, it seems useful to discuss the present data, together with those of the studies describing the effects of dorsal neck muscle vibration, in the line of the process of multisensory fusion that leads to egocentric space representation.
During stepping in place, neck vibration produces involuntary forward stepping at about 0.3 m/s without modifying the stepping frequency (32). In our case, neck muscle fatigue instead induced an involuntary smaller forward progression or even backward progression. The difference between the effects of fatigue and vibration cannot be ascribed to the more aspecific distribution of fatigue, since the concurrent EMG recording from the anterior neck muscles showed no sign of activation of these muscles. Similar to vibration, the stepping cadence did not undergo major changes as a consequence of neck muscle fatigue. The small changes in cadence observed were unrelated to the distance or direction of body displacement during the stepping. Apparently, the central effects of both vibration and fatigue do not influence the rhythmic outflow from the central pattern generators implicated in this automatic locomotor-like stepping activity.
Perhaps, the changes in body progression along the sagittal plane should be attributed to the outflow from the neck muscles to the brain centers responsible for building the body spatial reference frame. Vibration and fatigue both produce modifications in joint position sense (for vibration, see Refs. 9, 20, 22, 30, 31; for fatigue, see Refs. 12, 16, 24, 26, 57, 59). This testifies of the capacity of the afferent input from dorsal neck muscles of accessing the central nervous system and altering the perception of the position of the segments in space. However, the fatigue state and vibration effects dramatically diverge as far as the modification in the presumed reference frame for controlling locomotion is concerned. Fatigue reduces the forward distance reached by subjects who normally exhibit a forward progression and pushes clearly backward those who stepped in place.
This would speak in favor of a different set of receptors and afferent fibers under vibration and fatiguing contraction conditions, indirectly or directly responsible for the modulation of the reference frame. In particular, the receptors responsible for the "shrinkage" of our imagined space in the forward direction or for the "backward displacement" of the body position reference after fatigue would be different from those possibly activated by muscle contraction per se (like tendon organs or muscle spindles). Rat experiments have shown that fatigue activates small-fiber receptors, the same that are activated by capsicine (52). Small-fiber sensory input may be the result of an increased inflow from the free nerve endings as a consequence of ionic or metabolic changes (elevated interstitial potassium concentration or insufficient oxygen availability due to reduced blood flow) (19, 52). This input, in addition to inhibiting muscle spindle afferent activity during fatigue (10), could also directly access the brain centers responsible for shaping our reference frames for navigation. Interestingly, abnormal conditions of the neck muscle (tension neck) can disrupt the normal postural response to neck muscle vibration (40), pointing to a susceptibility of the reference system to abnormal fatigue-related inputs of neck muscle origin.
Admittedly, fatigue can affect the discharge of many sensory receptors, including muscle spindles (27, 34, 63, 64, 67). In turn, spindle discharge could be modulated by fatigue-induced alterations in gamma-motoneuron discharge (43, 51). Such abnormal muscle spindle inflow could possibly perturb and deteriorate postural control through an action on the central nervous system (19). However, one may note that there was no neck muscle contraction during the stepping trials and presumably little spindle discharge, since the latter should not outlast previous contraction, contrary to the discharge of the receptors sensitive to fatigue-induced intramuscular changes. Any modulation of a scarce proprioceptive input would therefore hardly produce the gross effects shown here in body progression, emphasizing a direct effect of fatigue-related input as a cause of the abnormal progression after the fatiguing contraction.
Neck muscle fatigue effects on locomotion.
Stepping in place with closed eyes and without acoustic cues is a nonoptimal definition for a locomotor task and presents itself with peculiar characteristics from subject to subject (7). The drift from the starting position is a sign of unreliable feedback during stepping in place (61). Most likely, many sensory modalities normally able to convey velocity and direction information, such as the foot sole receptors and their central integration, are below the threshold under these circumstances, or the central mechanisms for calculating the mismatch between the successive positions of the two leg can be fooled by the minimal differences of their positions between steps. The gravito-inertial receptors would also be of no use, given that the successive head and body up and down movements do not seem to be influenced by the body progression and that the linear body velocity in the midsagittal plane is negligible even when it reaches its maximum value (
3 cm/s) (25). Certainly, no subject was aware of his or her displacement in the working space, either before or after the fatigue-induced effects. And this comes as no surprise, since much larger body displacement produced by lateral neck muscle vibration during stepping in place went completely unnoticed by the subjects (4). Therefore, the body displacement would be the expression of the spontaneous drift in the activity of the brain centers controlling the body position in space. This command center, although numb to the afferent sensory input from the evolving movement, is, however, sensible to other afferent inputs like that from fatigued neck muscles. Despite the highly variable body displacement across subjects, the relative consistency of this displacement in the different trials within a subject could be taken as an indication that the subjects' reference for the stepping position can be relatively stable. It seems, therefore, that stepping in place after neck muscle fatigue is being performed with respect to a reference system and modified in the same sense by the fatigue-induced input in every subject. Such a modification could be reminiscent of an error of parallax, as if the brain would incorporate depth information when it updates its stored representations of space after the neck muscle fatiguing contraction (45).
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
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