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Volume 17, Number 6, Issue of March 15, 1997 pp. 2128-2142
Copyright ©1997 Society for Neuroscience

Postural Dependence of Muscle Actions: Implications for Neural Control

Christopher A. Buneo, John F. Soechting, and Martha Flanders

Department of Physiology, University of Minnesota, Minneapolis, Minnesota 55455

ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES


ABSTRACT

The neural control of reaching entails the specification of a precise pattern of muscle activation distributed across the many muscles of the arm. Musculoskeletal geometry limits the possible solutions to this problem. Insight into the nature of this constraint was obtained by quantifying the postural variation in the mechanical actions of six human shoulder muscles. Estimates of muscle mechanical actions were obtained by electrically stimulating muscles to the point of contraction and recording the resulting forces and torques with a six-degree-of-freedom force-torque transducer. In a given experiment, data were obtained for up to 29 different arm postures. The mechanical actions of each muscle varied systematically with arm posture, regardless of the frame of reference used to define these actions. The nature of this dependence suggests that a relatively simple strategy can be used by the nervous system to account for the changing mechanical actions of arm muscles.

Key words: muscle; torque; internal model; arm movement; reaching; posture


INTRODUCTION

At first glance, the processes underlying the production of reaching movements appear dauntingly complex. The problems are typified by the concept of kinetic redundancy: because the number of force-generating elements of the arm exceeds the number of mechanical degrees of freedom, it is not clear how the motor system apportions activity among the various muscles during the performance of a particular motor task. Nevertheless, reaching movements tend to be performed in a relatively stereotypic manner, both with regard to their kinematics and, to a lesser extent, their muscle activation patterns (Morasso, 1981; Soechting and Lacquaniti, 1981; Atkeson and Hollerbach, 1985; Karst and Hasan, 1991; Buneo et al., 1994). Therefore, there seem to be constraints limiting the number of ways in which a particular reaching movement will be produced, and a great deal of research in motor control is aimed at elucidating the nature of these constraints. Constraints may be imposed as the result of the optimization of some neural or mechanical cost function associated with the production of movement. These types of constraints (e.g., minimum energy) have been given the most attention in the literature (cf. Hogan and Flash, 1987; Uno et al., 1989; Soechting et al., 1995). Other constraints may arise from the musculoskeletal anatomy. Muscles have mechanical actions about more than one axis. In addition, single-joint muscles can act to accelerate joints they do not span, and biarticular muscles even can act to accelerate a joint in a direction opposite to its anatomical classification (Zajac, 1993). Thus, muscle mechanical actions constrain, in a complicated way, the possible patterns of muscle activation that will be used to produce a particular movement.

Implicit in the above scenario is the idea that the motor system possesses an internal representation, or model, of the mechanical action of each muscle that it draws on in producing a particular movement. Information about muscle mechanical actions would be critical not only for the specification of the spatial and temporal aspects of the muscle activation pattern but also at earlier stages of movement planning. To plan a reaching movement to a particular target, the motor system must have some sense of the starting location of the hand or, alternatively, the initial arm configuration (Bizzi et al., 1984; Hogan, 1985; Flanders et al., 1992). Because one of the potential sources of this information is contained within muscles in the form of muscle spindles (McCloskey, 1978), the directions along which muscles change their length (and exert their forces) are likely to be important factors in representing the location of the hand, or arm posture in general. The complexity of muscle mechanical actions, therefore, has implications for the particular form of this representation. A critical question in this regard is whether the nervous system needs to account for muscle mechanical actions that change with arm posture, and if so, how is this accomplished?

Most existing data regarding muscle mechanical actions were obtained via gross anatomical dissection. In these methods, the origin and insertion of a muscle are measured, and assumptions are made about the center of joint rotation and the line of action to obtain an estimate of the mechanical action of that muscle (An et al., 1984; Zajac, 1993). These estimates are problematic in several respects. Because the experiments are performed postmortem, data are obtained from muscles that are not in a realistic state of tension. In addition, estimates typically are obtained with the joints in a single configuration and do not generalize well to other configurations (Soechting and Flanders, 1997). Last, even in cases in which measurements at multiple configurations are obtained, one is forced to arbitrarily represent both the line of action of the muscle (as straight or curved) and the center of rotation of the joint (as fixed or moving).

In the present paper we report estimates of the mechanical actions of six single-joint human shoulder muscles, obtained using an approach similar to the one used successfully by Lan and Crago (1992) and Lawrence and colleagues (1993) to characterize the mechanical actions of the hindlimb muscles of the cat. We found that the mechanical action of each muscle changed substantially with arm posture when this action was defined either in the frame of reference of the insertion (the upper arm) or the frame of reference of the origin (generally the trunk). This variation was not random, however; it depended on one or more of the arm angles defining arm posture in both frames of reference. The results demonstrate that a relatively simple model can account for the dependence of muscle mechanical actions on arm posture.


MATERIALS AND METHODS

General. Data were obtained from three adult human subjects. Subject A was a 5 ft, 9 in (175 cm), 130 lb (59 kg) female; Subject B was a 6 ft, 0 in (183 cm), 190 lb (86 kg) male; and Subject C was a 5 ft, 10 in (178 cm), 143 lb (65 kg) female. Informed consent was obtained from all subjects before their participation in this study. In addition, all experimental procedures were approved by the Institutional Review Board of the University of Minnesota.

Subjects sat in a modified dental chair that was coupled to a rigid stereotaxic frame through a 1-cm-thick steel plate with stabilizing runners (Fig. 1A). The main pieces of the frame consisted of a 7-cm-diameter steel drill press column with a rack and several segments of 4- to 6-cm-diameter steel pipe. The frame allowed the six-degree-of-freedom force-torque sensor (JR3, Woodland, CA) to be positioned anywhere within a large portion of the three-dimensional workspace of the right arm. The sensor had a maximum load rating of 15 lbs [66.72 N (Newtons)] for the forces and 45 in-lbs [5.08 N-m (Newton-meters)] for the torques with 12-bit resolution. The sensor was coupled to the frame at one end and to a prefabricated, hinged, upper extremity orthosis at the other. The location of the sensor with respect to the orthosis is indicated in Figure 1A. In this figure, the upper arm portion of the orthosis is oriented vertically and the forearm portion horizontally. When the arm was in the orthosis, the sensor was located just distal to the elbow joint. (The precise alignment of the sensor with respect to the upper arm and forearm is described below under Coordinate Systems). The orthosis served to secure the sensor to the arm; this was facilitated by inflating air bladders lining its molded plastic segments. On average, the upper arm portion of the orthosis extended from just distal to the deltoid tuberosity of the humerus to just proximal to the elbow joint. The forearm segment began just distal to the elbow joint and ended just distal to the wrist. These two segments were connected by a steel hinge joint that was locked during all experiments at 90° of elbow flexion; elbow angle was not varied in these experiments.


Fig. 1. Experimental apparatus (A), angles defining arm posture (B), and a free-body diagram of the forces and torques exerted on the upper arm (C). A, A six-degree-of-freedom force-torque sensor was rigidly coupled to an upper extremity orthosis at one end and a stereotaxic frame at the other. Two coordinate frames are illustrated: an x, y, z, frame that was fixed to the arm/sensor, and an x', y', z' frame (inset) that was fixed in space. In this posture, the axes of the two frames were parallel. The z- and x-axes were aligned with the long axes of the upper arm and forearm segments of the orthosis, respectively; the y-axis was orthogonal to the plane containing these two axes. B, Three angles were used to define upper arm posture: eta , a rotation about the vertical z'-axis; theta , a rotation in a vertical plane passing through the upper arm (measured relative to the vertical z'-axis), and zeta , a rotation about the long axis of the humerus. C, A cylinder representing the upper arm is depicted along with the forces (Fx, Fy, Fz) and torques (Tx, Ty, Tz) recorded at the transducer and the corresponding torques at the shoulder (Mx, My, Mz). The shoulder, elbow, and length of the upper arm are labeled S, E, and La, respectively.
[View Larger Version of this Image (41K GIF file)]

The following shoulder muscles of the right arm were examined in this study: anterior deltoid (AD), middle deltoid (MD), posterior deltoid (PD), latissimus dorsi (LaD), clavicular head of pectoralis major (CPec), and the upper portion of the sternocostal head of pectoralis major (SPec). Muscle contractions were elicited with a commercially available dual-channel neuromuscular electrical stimulation unit (Empi, St. Paul, MN). Bipolar, circular (3 cm diameter) surface electrodes were used to deliver the stimulation. The best position for the active electrode (cathode) was determined by moving this electrode to various points on the muscle belly and looking for the largest contraction for a given stimulus. The inactive electrode (anode) was placed ~4 cm away from the cathode on the muscle belly. The unit was programmed to produce an asymmetrical biphasic waveform with a fixed pulse width of 300 µsec at a stimulation frequency of 50 Hz. The peak current was chosen to achieve a tetanic contraction (determined by visual inspection and palpation) while maintaining subject comfort and typically ranged from 15-20 mA. The unit was preprogrammed to follow a trapezoidal modulation of current: a 1 sec ramp up to peak current, followed by a 1 sec hold, followed by a 0.5 sec ramp down to 0 current. Stimulation was controlled by means of a hand switch that accompanied the stimulator. The stimulus was not painful, and subjects were instructed to relax and to not intervene intentionally in response to the stimulus. Five trials of stimulation were delivered at each arm posture, with an intertrial delay period of ~30 sec to minimize fatigue. In each experiment, up to 29 postures of the upper arm were examined. (Throughout all experiments, motion of the scapula was not restricted.)

Data acquisition and processing. Muscle contractions resulted in the production of forces and torques that were transduced by foil strain gauges within the sensor into millivolt analog signals. These signals were sent to a signal conditioning board that accompanied the sensor and then digitized at 100 Hz. A complete trial produced a 5-sec-long record consisting of ~1 sec of baseline before stimulation, 2.5 sec of data during stimulation, and 1.5 sec of poststimulation baseline. In addition to the six channels of force-torque data, a single channel carrying signals indicating the depression and release of the hand switch controlling the stimulator also was sent to the microcomputer. This signal was used to align the force and torque traces obtained from the repeated trials of stimulation at each arm posture (see Data Analysis below). Arm posture was derived from the recorded location of spherical reflective markers (placed on the orthosis at the approximate positions of the shoulder, elbow, and wrist), using a video-based, three-dimensional motion analysis system (VP110, Motion Analysis).

Coordinate systems. Because the transducer moved with the arm/orthosis during changes in arm posture, forces and torques applied to the transducer initially were defined in an arm-fixed frame of reference. In this coordinate system, the z-axis of the transducer was always aligned with the long axis of the upper arm. The x-axis was oriented parallel to the long axis of the forearm. The y-axis was then defined as being perpendicular to the plane containing the upper arm and forearm. These axes are indicated on the orthosis in Figure 1A. Forces applied in the anterior (x) direction were defined as positive, as were forces applied in the medial (y) and superior (z) directions. By definition, torques about these positively directed axes were also positive.

When the upper arm was oriented vertically and the forearm horizontally within a parasagittal plane passing through the shoulder (as in Fig. 1A), the axes of the transducer were parallel to the axes used to define upper arm posture (Fig. 1B). These latter axes were fixed in space and are labeled in Figure 1A,B as x', y', and z'. When viewed from behind the right shoulder, x' pointed in the forward direction, y' pointed leftward, and z' pointed upward. Arm posture was defined by three angles, depicted in Figure 1B. Upper arm azimuth (eta ) was defined as a rotation about the z'-axis. Upper arm elevation (theta ) was defined as a rotation in a vertical plane passing through the upper arm and was measured relative to the vertical z'-axis. A third rotation about the long axis of the humerus defined humeral rotation (zeta ).

Upper arm azimuth and elevation were computed from the measured location of the elbow relative to the shoulder by using the following relations:
<UP>tan</UP>(<UP>&eegr;</UP>)<UP> = </UP>(<IT>e</IT><SUB><UP>y′</UP></SUB><UP>/</UP><IT>e</IT><SUB><UP>x′</UP></SUB>)<UP>     </UP>(<UP>&eegr; = upper arm azimuth</UP>) (1)
<UP>tan</UP>(<UP>&thgr;</UP>)<UP> = </UP>(<IT>e</IT><SUB><UP>x′y′</UP></SUB><UP>/−</UP><IT>e</IT><SUB><UP>z′</UP></SUB>) (<UP>&thgr; = upper arm elevation</UP>)<UP>,</UP>
in which e is a vector from the shoulder to the elbow, the subscripts x', y', and z' represent Cartesian components, and the subscript x'y' represents a projection onto the horizontal plane. Humeral rotation was calculated by first computing the normal p to the plane of the arm from the cross product of the vector connecting the shoulder to the elbow with the vector connecting the elbow to the wrist (w):
<IT>p</IT><SUB><UP>x′</UP></SUB><UP> = </UP><IT>e</IT><SUB><UP>y′</UP></SUB><IT>w</IT><SUB><UP>z′</UP></SUB><UP> − </UP><IT>e</IT><SUB><UP>z′</UP></SUB><IT>w</IT><SUB><UP>y′</UP></SUB>
p<SUB><UP>y′</UP></SUB><UP> = </UP><IT>e</IT><SUB><UP>z′</UP></SUB><IT>w</IT><SUB><UP>x′</UP></SUB><UP> − </UP><IT>e</IT><SUB><UP>x′</UP></SUB><IT>w</IT><SUB><UP>z′</UP></SUB> (2)
<IT>p</IT><SUB><UP>z′</UP></SUB><UP> = </UP><IT>e</IT><SUB><UP>x′</UP></SUB><IT>w</IT><SUB><UP>y′</UP></SUB><UP> − </UP><IT>e</IT><SUB><UP>y′</UP></SUB><IT>w</IT><SUB><UP>x′</UP></SUB>
If nu  is defined to be the angle that p makes with the horizontal plane, then humeral rotation can be calculated from the following relation:
<UP>sin</UP>(<UP>&zgr;</UP>)<UP> = sin</UP>(<UP>&ngr;</UP>)<UP>/sin</UP>(<UP>&thgr;</UP>) (<UP>&zgr; = humeral rotation</UP>)<UP>.</UP> (3)
Upper arm azimuth was 0° when the shoulder and elbow were in the parasagittal plane passing through the shoulder and was positive when the elbow moved left relative to the shoulder. Upper arm elevation was 0° when the upper arm was oriented vertically with the elbow down and was positive when the elbow moved forward relative to the shoulder. Humeral rotation was 0° when the wrist was in a vertical plane passing through the shoulder and was positive when the arm was rotated internally. The 29 postures examined in an experiment typically covered a range of ~80° of azimuth and elevation and 120° of humeral rotation.

Data analysis. The following procedure was used to calculate the muscle torques acting at the shoulder. First, cross-coupling between channels of the force-torque sensor was removed numerically by means of a calibration matrix. Then the average value during the baseline period was subtracted from each force and torque trace. Repeated trials of stimulation at each arm posture were aligned at stimulation onset and averaged over the 2 sec corresponding to the stimulation ramp and hold periods. Torques at the shoulder were calculated from these force and torque traces with the following relations, in accord with the demands of static equilibrium:
<IT>M</IT><SUB><UP>x</UP></SUB><UP> =</UP><IT> T</IT><SUB><UP>x</UP></SUB><UP> +  </UP><IT>LaF</IT><SUB><UP>y</UP></SUB>
<IT>M</IT><SUB><UP>y</UP></SUB><UP> = </UP><IT>T</IT><SUB><UP>y</UP></SUB><UP> − </UP><IT>LaF</IT><SUB><UP>x</UP></SUB> (4)
<IT>M</IT><SUB><UP>z</UP></SUB><UP> </UP><UP> = </UP><IT>T</IT><SUB><UP>z</UP></SUB><UP>,</UP>
in which La is the length of the upper arm, Tx, Ty, and Tz are the torques recorded at the transducer, Fx and Fy are forces recorded at the transducer, and Mx, My, and Mz are the corresponding muscle torques at the shoulder. These quantities are indicated on a free-body diagram in Figure 1C. Torques about the positive Mx, My, and Mz-axes are referred to throughout this manuscript as shoulder adduction (ADD), extension (EXT), and internal rotation (IR) torques, respectively. Torques about the corresponding negative axes are referred to as shoulder abduction (ABD), flexion (FLEX), and external rotation (ER) torques, respectively.

Figure 2A depicts the calculation of shoulder muscle torques graphically. The left and center plots show 1.5 sec of force and torque traces generated during stimulation of MD at a single arm posture. Data from five consecutive trials are depicted in each plot. The data are aligned at stimulation onset. In this example, only the forces changed substantially during the stimulation period. The Fx and Fy traces began to rise above baseline ~0.5 sec after the onset of stimulation and then continued to rise monotonically and plateau after ~1.1 sec (see below). Thus, the time course of force modulation followed the time course of current modulation; after an initial delay, forces ramped from a baseline value to a steady-state value over an ~1 sec interval. It also can be seen in this example that both the sign and magnitude of the force and torque traces were consistent over consecutive trials obtained at the same arm posture. With regard to these findings, the data presented in this figure are representative of the data presented throughout this manuscript. The force and torque traces shown in the left and center plots were averaged (data not shown) and combined by using Equation 4 to yield the traces on the right, representing the components of torque at the shoulder with respect to an arm-fixed frame of reference. A complete set of these components for a particular arm posture will be referred to as a data set.


Fig. 2. Graphical representation of the calculation of shoulder torques and the method used to evaluate the constancy of torque direction. A, The left and center plots show 1.5 sec of force (Fx, Fy) and torque (Tx, Ty, Tz) traces recorded at the transducer during the stimulation of MD at a single arm posture. Data from five consecutive trials aligned at stimulation onset are shown. These traces were averaged and combined using Equation 4 (see Materials and Methods) to obtain the traces on the right, representing the components of torque at the shoulder (Mx, My, Mz) in an arm-fixed frame of reference. Force units are Newtons (N), and torque units are Newton-meters (N-m). B, A three-dimensional torque trace obtained from AD during the ramp period of stimulation. The SD of the torque direction during this period had to be within the bounds of the 10° cone depicted here to be included in subsequent analyses.
[View Larger Version of this Image (35K GIF file)]

Each data set was evaluated to assess the extent to which torque direction changed during the ramp period of stimulation. The period of evaluation extended from 33% of the torque magnitude at steady state until the acquisition of steady state (steady state was chosen to be at 100 msec past the end of the stimulation ramp; 33% of this value was chosen to exceed baseline fluctuations in torque direction). This period is indicated in the shoulder torque traces of Figure 2A by the dashed rectangles. If the SD of the three angles representing torque direction were <10° during this period, then the torque direction was judged to be constant. Data sets with torque directions that were not constant during the ramp period were excluded from further analyses (~5% of the data sets).

This elimination process is depicted graphically in Figure 2B. In this three-dimensional plot, a single torque trace resulting from the stimulation of AD is shown. This trace was obtained by plotting the three components of shoulder torque against each other for the evaluation period described above. Each point in the trace represents the value of torque at a particular instant during this period. The relative amount of shoulder flexion and adduction at each instant can be ascertained from the reflection of the trace onto the Mx/My plane. The relative amount of internal rotation is indicated by the height of each point above this plane. In this arm posture AD acted primarily to adduct and internally rotate the upper arm. Also depicted is a 10° cone centered on the mean torque direction of this trace. The SD of the torque direction during the ramp period of stimulation had to be within the bounds of this cone for the direction to be judged constant.

The SD of torque direction was generally much less than 10° for those data sets that were retained. For example, for the trace indicated in Figure 2B, the SDs of the Mx, My, and Mz components of torque direction were 1.03, 1.57, and 0.75°, respectively. Figure 3 shows histograms of the SDs for all the retained data sets. A separate histogram for each muscle is shown. Each histogram was constructed by grouping the SDs of the three components of torque direction from each data set. For all muscles, the vast majority of these SDs were <5°. In fact, the median SD ranged from 1.43° (for MD) to 2.59° (for LaD). Thus, our stimulation protocol produced minimal changes in torque direction as current intensity increased during the ramp.


Fig. 3. SD (in degrees) of the angles defining torque direction for each of the six muscles. Data from all retained data sets are shown.
[View Larger Version of this Image (33K GIF file)]

Because torque direction was nearly constant during the ramp period of stimulation, each data set was reduced to a single point representing the instantaneous torque direction at steady state. This was accomplished by modeling each component of torque as a linear function of time during the ramp and evaluating this model for the time corresponding to steady state. In Results, the three components of torque at steady state are plotted against each other in separate two-dimensional plots; data are represented as vectors emanating from the center of each plot (see Fig. 4). These two-dimensional vectors can be thought of as projections of the three-dimensional torque vector. The torque direction can be inferred on these plots by applying the right-hand rule: if the thumb points along a particular vector (originating at the center), the fingers curl in the direction of the torque, which is also the direction the arm would rotate in response to this applied torque.


Fig. 4. Shoulder torque vectors resulting from the stimulation of AD. Data were obtained from Subject A in one experimental session. Three separate views are shown, obtained by plotting the individual components of shoulder torque (Mx, My, My) against each other. Each vector is an average of five stimulations at a single arm posture. Data from 28 different arm postures are shown. Torques are defined in an arm-fixed frame of reference; units are Newton-meters (N-m).
[View Larger Version of this Image (11K GIF file)]

During subsequent analysis we transformed these torque data from an arm-fixed frame of reference to a body-fixed (or trunk-fixed) frame of reference. This was accomplished by multiplying the muscle torques at the shoulder with the rotation matrix for each posture. Thus,
<FENCE><AR><R><C>M<SUB><UP>x,b</UP></SUB></C></R><R><C>M<SUB><UP>y,b</UP></SUB></C></R><R><C>M<SUB><UP>z,b</UP></SUB></C></R></AR></FENCE> =[<AR><R><C>C&zgr;C&thgr;C&eegr;<UP>−</UP>S&zgr;S&eegr;</C><C><UP>−</UP>S&zgr;C&thgr;C&eegr;<UP>−</UP>C&zgr;S&eegr;</C><C><UP>−</UP>S&thgr;C&eegr;</C></R><R><C>C&zgr;C&thgr;S&eegr;<UP>+</UP>S&zgr;C&eegr;</C><C><UP>−</UP>S&zgr;C&thgr;S&eegr;<UP>+</UP>C&zgr;C&eegr;</C><C><UP>−</UP>S&thgr;S&eegr;</C></R><R><C>C&zgr;S&thgr;</C><C><UP>−</UP>S&zgr;S&thgr;</C><C> C&thgr;</C></R></AR>] <FENCE><AR><R><C>M<SUB><UP>x</UP></SUB></C></R><R><C>M<SUB><UP>y</UP></SUB></C></R><R><C>M<SUB><UP>z</UP></SUB></C></R></AR></FENCE>,(5)
in which C and S are shorthand for cosine and sine, respectively, and Mx,b, My,b, and Mz,b represent the components of muscle torque at the shoulder with respect to a body-fixed frame of reference. For this analysis, we retained our previous convention for naming the torques: (e.g., adduction torque for torques about the Mx,b-axis, etc.).

Multiple regression analysis. The dependence of muscle torque direction on arm posture was examined quantitatively by means of a multiple regression analysis. For this analysis, data from all subjects and experiments were grouped together (the rationale for doing so appears in Results). Rather than fit three normalized components of torque, we chose to represent torque direction with two angles. alpha  is the angle that the projection of the three-dimensional torque vector onto the Mx/My plane makes with the -Mx-axis. beta is the angle that the three-dimensional torque vector makes with the Mx/My plane. Stated mathematically (for the arm-fixed frame of reference),
      <UP>tan</UP>(<UP>&agr;</UP>)<UP> = </UP>(<IT>M</IT><SUB><UP>y</UP></SUB><UP>/−</UP><IT>M</IT><SUB><UP>x</UP></SUB>) (E6)
<UP>tan</UP>(<UP>&bgr;</UP>)<UP> = </UP>(<IT>M</IT><SUB><UP>z</UP></SUB><UP>/</UP><IT>M</IT><SUB><UP>xy</UP></SUB>) [<IT>M</IT><SUB><UP>xy</UP></SUB><UP> = </UP>(<IT>M</IT><SUB><UP>x</UP></SUB><SUP><UP>2</UP></SUP><UP> + </UP><IT>M</IT><SUB><UP>y</UP></SUB><SUP><UP>2</UP></SUP>)<SUP><UP>1/2</UP></SUP>]<UP>.</UP>
The angle alpha  provides a direct indication of the relative amounts of flexion-extension and abduction-adduction, whereas beta gives an indication of the degree of internal-external rotation.

Each angle originally was fit to a four-term model containing only linear functions of zeta , theta , and eta , as well as a 20-term model containing linear, quadratic, and cubic polynomial terms. For example, for the linear model of beta ,
&bgr; =<IT>a</IT><SUB><UP>0</UP></SUB><UP> + </UP><IT>a</IT><SUB><UP>1</UP></SUB><UP>&zgr; + </UP><IT>a</IT><SUB><UP>2</UP></SUB><UP>&thgr; + </UP><IT>a</IT><SUB><UP>3</UP></SUB><UP>&eegr; + &egr;,</UP> (E7)
in which a0 represents a constant, a1-a3 represent the coefficients of the various terms in the model, and epsilon  represents the error (i.e., the difference between the actual value of beta  and the value predicted by the model). For all models, the parameters of the individual basis functions were determined by singular value decomposition (Press et al., 1992). We also computed similar models using only those terms that provided a significant contribution to the overall fit. Here the relevant terms were arrived at using a stepwise regression procedure, by which terms are added iteratively to the model and each term is tested for its contribution to the overall fit by means of a partial F test (Draper and Smith, 1981). The significance level for this procedure was chosen to be 95%. For all models, a summary measure of goodness-of-fit was reported as the value of r2, defined as
<IT>r</IT><SUP><UP>2</UP></SUP><UP> = </UP><IT>SS</IT><SUB><UP>m</UP></SUB><UP>/</UP><IT>SS</IT><SUB><UP>t</UP></SUB><UP>,</UP> (E8)
in which SSm is the sum of squares of the model (i.e., the variation in the data that is explained by the model) and SSt is the total sum of squares (the total variation in the data). The r2 value represents the proportion of variance in the data that can be accounted for by the model.


RESULTS

The results demonstrate the systematic manner in which the action of each of the six muscles changed with arm posture. Within each experimental session, both the magnitude and direction of shoulder muscle torques resulting from electrical stimulation varied with changes in arm posture. Figure 4 depicts data from AD of Subject A, obtained in one experimental session. Data are plotted in a vector format; the components of torque at the end of a stimulation ramp are plotted against each other and represented as vectors emanating from the center of each plot (see Materials and Methods for details). Each vector represents a single data set, i.e., an average of five stimulations at a single arm posture. Data from 28 different arm postures are shown, covering a range of 73° of azimuth, 78° of elevation, and 110° of humeral rotation. Magnitude variations across postures are apparent from the different lengths of the individual vectors. Torque direction variations (i.e., the relative amounts of flexion, adduction, and internal rotation) are evident from the wide range of vector orientations in each of the three plots of this figure. For most of the arm postures examined in this experiment, AD produced a combination of adduction, flexion, and internal rotation torques. These actions are generally consistent with previous investigations of this muscle (Basmajian and Deluca, 1985; Wood et al., 1989). For some arm postures, AD acted almost as a pure shoulder adductor, as indicated in the top plot of the figure by those vectors that are oriented nearly parallel to the Mx-axis. In other arm postures, AD acted primarily as a shoulder flexor; these vectors are oriented close to the -My-axis. For the remaining postures, the action of AD was between that of a flexor and an adductor. The range of alpha  [the angle in the Mx/My plane, relative to the -Mx (ABD)-axis] provides an indication of the extent to which flexion and adduction torques varied. In this experiment, alpha  ranged from 102 to 191°, with a mean of 147° and a SD of 29°.

For some of the arm postures depicted in Figure 4, AD produced substantial internal rotation torques, whereas for other postures these torques were negligible. The variation in the Mz component of torque perhaps is best appreciated in the middle plot of Figure 4. Some vectors are oriented parallel or nearly parallel to the Mx-axis, indicating little or no component of humeral rotation for those arm postures. However, AD produced substantial internal rotation torques in other postures, as indicated by those vectors oriented at larger angles relative to the Mx-axis. The range of beta  (the angle relative to the Mx/My plane) gives an indication of the extent to which internal rotation torques varied. In this experiment, beta  ranged from 0 to 30°, with a mean of 11° and a SD of 8°. The ranges of alpha  and beta  observed in this experiment were typical for AD. Comparable results were obtained for other muscles (see below).

As mentioned above, torque magnitude varied with arm posture within an experimental session. For example, for the data presented in Figure 4, torque magnitude varied from 0.97 N-m to 2.54 N-m, with a mean of 1.64 N-m and a SD of 0.39 N-m. Variations in torque magnitude were observed for all the muscles examined in this study, although the extent of this variation differed for different muscles. Because the focus of this manuscript is on the postural variation in the directions of exerted torques, there is no further description of torque magnitude variations. So that variations in torque direction may be visualized independently of torque magnitude variations, subsequent plots depict vector components that have been normalized by torque magnitude.

Torque directions varied with arm posture for all of the muscles examined in this study. Figures 5 and 6 depict muscle torque vectors for all six muscles. In these and subsequent vector plots, only the top two views pictured in Figure 4 are shown, and all vectors are of unit magnitude. The data illustrated were obtained from Subject C in three separate experiments. In Figure 5, 29 postures are shown for both AD and MD, covering a range of 67° of azimuth, 70° of elevation, and 130° of humeral rotation. For PD, 28 postures are illustrated, covering a comparable range of 66, 72, and 117°. Torque directions varied for all three of these muscles, but these variations were limited to discrete regions of the vector space. This can be seen in the top plots of this figure, where vectors span a range of 90° for AD, 74° for MD, and 99° for PD. Similar degrees of variation were observed for the other muscles. In Figure 6, data for LaD (21 postures), CPec (29 postures), and SPec (28 postures) are shown. These postures varied to an extent similar to that described above. In the top plots of Figure 6, vectors vary over 101° for LaD, 107° for CPec, and 125° for SPec. For all muscles, internal and external rotation torques generally showed less variation. This can be appreciated from the bottom plots of Figures 5 and 6. For the experiments corresponding to these two figures, the range of beta  was as little as 12° (for LaD) and reached a maximum of only 40° (for PD).


Fig. 5. Normalized shoulder torque vectors for AD, MD, and PD. The data in each plot were obtained from Subject C in one experimental session. Data are plotted in the same format as those in the top two panels of Figure 4.
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Fig. 6. Normalized shoulder torque vectors for LaD, CPec, and SPec. The data in each plot were obtained from Subject C in one experimental session. Date are plotted in the same format as in Figure 5.
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Although torque direction varied, the "average" torque directions resulting from electrical stimulation generally agreed with previous descriptions of the actions of these muscles (Basmajian and Deluca, 1985; Wood et al., 1989). For instance, the top plots of Figure 5 demonstrate that AD tended to produce combinations of flexion and adduction torques (as shown in Fig. 4 for Subject A), whereas MD acted as either a flexor or extensor (depending on the posture) and an abductor. Posterior deltoid (PD) produced combinations of extension and abduction torques that were approximately antagonistic to those of AD. With regard to internal and external rotation torques, the bottom plots of Figure 5 demonstrate that AD and MD acted as internal rotators in ~70% of the postures. In contrast, PD acted primarily as an external rotator, producing internal rotation torques in only 30% of the postures. For the other muscles, the top plots of Figure 6 show that LaD acted primarily as an extensor and adductor, whereas the two heads of pectoralis produced adduction torques in combination with either flexion or extension torques. All three of the muscles in Figure 6 were internal rotators in all postures.

Muscle torque directions depended systematically on the angles defining arm posture. For example, Figure 7 depicts plots of alpha  versus humeral rotation for all six muscles, and Figure 8 depicts plots of beta  versus humeral rotation. The values on the abscissa range from -60° of external rotation to 120° of internal rotation. In both figures, data from all experiments and all subjects are presented, the symbols (square ,open circle ,triangle ) denoting the three subjects. Figure 7 reveals a strong dependence of alpha  on humeral rotation, as indicated by the slopes of the relations between alpha  and this arm angle. For all muscles, alpha  (the angle in the Mx/My plane) decreased with increasing values of humeral rotation, and, for most muscles, the slope of this relation was approximately -1. Thus, there was an inverse relation between the angle of the torque vector in the Mx/My plane and the posture of the humerus in terms of rotation around its long axis (the Mz-axis; as seen in Fig. 2B). This implies that a nearly complete counter-rotation of muscle mechanical actions accompanies postural changes in humeral rotation.


Fig. 7. Dependence of torque direction (ALPHA) on humeral rotation [ROT(zeta )] for each of the six muscles. alpha  is the angle in the Mx/My plane relative to the -Mx (ABD)-axis. Negative values of humeral rotation indicate external rotation; positive values indicate internal rotation. Each symbol represents a different subject.
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Fig. 8. Dependence of torque direction (BETA) on humeral rotation [ROT (zeta )] for each of the six muscles. beta  is the angle relative to the Mx/My plane. Negative values of humeral rotation indicate external rotation; positive values indicate internal rotation. Each symbol represents a different subject.
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Whereas the torque angle alpha  exhibits a simple compensatory trend with humeral rotation, the second angle describing torque direction (beta ) exhibits very little dependence on this parameter of arm posture. Figure 8 shows the trends with humeral rotation for beta : internal-external rotation torques varied in a weak but consistent manner with humeral rotation. In the figure, the three heads of deltoid show the strongest dependence. The two heads of pectoralis show similar but weak trends, and LaD exhibits considerable variability.

Torque direction also depends on the other two arm angles (elevation and especially azimuth), and this dependence accounts for much of the scatter of the data points in Figures 7 and 8. In Figure 9, we show plots of alpha  versus humeral rotation for the data presented in Figures 5 and 6 (Subject C). In each plot, an individual circle represents data from a single arm posture, the diameters of the individual circles being proportional to the values of azimuth at each posture. As shown in Figure 7, the value of alpha  depends strongly on humeral rotation. However, Figure 9 demonstrates that alpha  also depends on azimuth. A tendency for alpha  to increase with decreasing arm azimuth (larger circles) is indicated in each plot by the changing diameter of the circles along a direction that is perpendicular to the main trend in the data. The trend perhaps is best appreciated in the plots for AD and SPec. Thus, Figure 9 reveals that torque direction (alpha ) depends systematically on at least two of the angles defining arm posture.


Fig. 9. Dependence of torque direction (ALPHA) on humeral rotation [ROT (zeta )] and upper arm azimuth (eta ) for each of the six muscles. Data are the same as those presented in the top plots of Figures 5 and 6 (Subject C). alpha  is the angle in the Mx/My plane, relative to the -Mx (ABD)-axis. Negative values of humeral rotation indicate external rotation; positive values indicate internal rotation. The diameters of the individual circles are proportional to values of upper arm azimuth, with the largest circles corresponding to the most lateral elbow locations.
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These trends and others are evident in the results of the multiple regression analysis, presented in Table 1. As described in Materials and Methods, both alpha  and beta  were fit to linear and cubic polynomial models of the parameters of upper arm posture (eta , theta , and zeta ). In general, quadratic and cubic terms contributed minimally to the overall fit of the data; this can be seen by comparing the r2 values of the linear and cubic models (last two columns). As a result, we present regression coefficients only for the linear models. Nonsignificant terms (at the 95% level) are indicated by asterisks. In general, the linear models accounted for a substantial proportion of the variance, as indicated by the r2 values. For alpha , humeral rotation (zeta ) was the strongest predictor, as suggested by Figure 7. As discussed above, for most of the muscles the slope of the relation between alpha  and zeta  was close to -1, the only exception being MD. However, as suggested by Figure 9, upper arm azimuth (eta ) was also a strong predictor of alpha  for most muscles, with a slope that ranged from -0.35 to -0.80. For a few muscles, theta  provided a small but significant contribution to the fit of alpha . Not surprisingly, beta  showed less of a dependence on arm posture. In fact, for LaD, beta  could be fit only by a constant for both the linear and cubic models. For the deltoids, beta  depended mainly on zeta  and eta , whereas for the two heads of pectoralis beta  depended weakly on both zeta  and theta .

Table 1. Multiple regression analysis (arm-fixed frame of reference)


Muscle Constant  eta  theta  zeta r2 (linear) r2 (cubic)

 alpha
AD 143.45 (2.59)  -0.80 (0.07) *  -0.95 (0.05) 0.76 0.76
MD 19.85 (3.17)  -0.35 (0.07) 0.24 (0.07)  -0.62 (0.05) 0.55 0.60
PD  -38.77 (3.40)  -0.70 (0.09) *  -0.83 (0.06) 0.57 0.59
LaD 269.62 (4.79)  -0.40 (0.08)  -0.26 (0.08)  -0.96 (0.06) 0.76 0.79
CPec 171.50 (2.84)  -0.65 (0.06) 0.01 (0.06)  -0.93 (0.04) 0.85 0.88
SPec 167.80 (6.11)  -0.80 (0.11) 0.27 (0.12)  -0.98 (0.08) 0.70 0.77
 beta
AD 13.94 (1.53)  -0.07 (0.03)  -0.12 (0.03)  -0.18 (0.02) 0.45 0.55
MD 1.79 (1.36)  -0.28 (0.03) 0.16 (0.03)  -0.31 (0.02) 0.62 0.64
PD  -9.62 (1.78)  -0.44 (0.04) 0.10 (0.04)  -0.39 (0.03) 0.65 0.65
LaD 12.26 * * * 0.00 0.00
CPec 21.49 *  -0.14 (0.03)  -0.05 (0.02) 0.31 0.38
SPec 19.32 *  -0.15 (0.02)  -0.03 (0.01) 0.42 0.43

Constants and parameter coefficients (±1 SD) from the multiple linear regression of the angles defining torque direction (alpha , beta ) on the angles defining arm posture (eta , theta , zeta ). Values for the constants are in degrees. Nonsignificant coefficients (p > 0.05) are indicated by asterisks.

A dependence of muscle torque direction on arm posture also was evident when torque vectors were analyzed in a body-fixed frame of reference. In previous plots all data were represented in an arm-fixed frame of reference. The observed variation in muscle torque direction could have been a consequence of this chosen frame of reference; in another frame of reference torque directions could appear relatively constant across arm postures. To explore this possibility, we transformed the data from all experiments into a body-fixed frame of reference by multiplying each data set with the rotation matrix for that posture (Eq. 5). The results of this analysis are presented in Figure 10 for the AD of Subject C and can be compared with the data for the arm-fixed frame of reference shown in Figure 5. On the left are the two standard views of the torque vectors, now in a body-fixed frame of reference. It can be seen that there is still a substantial degree of variability in the orientations of the torque vectors. Although the variability in the abduction-adduction/flexion-extension plane is less than in Figure 5, the variability in internal-external rotation is greater (internal-external rotation now corresponds to a torque about a fixed vertical z-axis rather than about a moving humeral axis). To the right of these vector plots are scatterplots of alpha  and beta  versus each of the arm angles defining arm posture. In contrast to the arm-fixed frame of reference, no clear trends exist between alpha  or beta  and humeral rotation; these trends disappear in a body-fixed frame of reference. In fact, a strong relation seems to exist only between beta  and upper arm elevation (theta ) in this frame of reference.


Fig. 10. Dependence of torque direction (ALPHA and BETA) on the angles defining arm posture (ROT (zeta ), AZ (eta ), EL (theta )) for the body-fixed frame of reference. Data from the AD of Subject C are shown; these are the same data that appear (in the arm-fixed frame of reference) in the extreme left plots of Figure 5. For the scatterplots, alpha is the angle in the Mx'/My' plane, relative to the -Mx' (ABD)-axis, and beta  is the angle relative to the Mx'/My' plane. Negative values of humeral rotation indicate external rotation; positive values indicate internal rotation.
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The results of a multiple regression analysis of the dependence of muscle torque direction on arm posture for the body-fixed frame of reference are depicted in Table 2. Here again, quadratic and linear terms did not improve the fit of the data substantially; therefore, only linear regression coefficients are shown. For beta , the linear models accounted for a substantial proportion of the variance, with the exception of LaD. Upper arm elevation (theta ) was the strongest predictor (again with the exception of LaD), and trends with upper arm azimuth (eta ) were consistently present. Trends with humeral rotation (zeta ) were secondary, weak, or absent. For alpha , the results of the regression analysis were much less consistent. For AD and PD, alpha  did not depend at all on the angles defining arm posture, and for the other muscles the results were highly variable. Only MD exhibited torque directions with a significant dependence on humeral rotation.

Table 2. Multiple regression analysis (body-fixed frame of reference)


Muscle Constant  eta  theta  zeta r2 (linear) r2 (cubic)

 alpha
AD 136.00 (1.88) * * * 0.00 0.09
MD 21.00 (2.92) 0.82 (0.07) 0.30 (0.06) 0.51 (0.05) 0.61 0.67
PD  -44.48 (2.90) * * * 0.00 0.27
LaD 269.48 (2.94) 0.65 (0.06) * * 0.48 0.51
CPec 160.09 (4.18) 0.16 (0.07) 0.56 (0.08) * 0.35 0.43
SPec 155.14 (5.27) * 0.76 (0.13) * 0.35 0.43
 beta
AD 13.37 (1.78)  -0.12 (0.04) 0.74 (0.04)  -0.18 (0.03) 0.78 0.82
MD  -4.23 (1.88)  -0.25 (0.04)  -0.30 (0.04)  -0.11 (0.03) 0.40 0.48
PD  -9.43 (2.34)  -0.30 (0.05)  -0.67 (0.05)  -0.33 (0.03) 0.74 0.76
LaD 23.40 (3.66) 0.27 (0.06)  -0.15 (0.06) * 0.20 0.26
CPec 26.51 (1.69) 0.11 (0.03) 0.70 (0.03)  -0.08 (0.02) 0.83 0.88
SPec 29.69 (2.15) 0.24 (0.03) 0.51 (0.04) * 0.77 0.85

Constants and parameter coefficients (±1 SD) from the multiple linear regression of the angles defining torque direction (alpha , beta ) on the angles defining arm posture (eta , theta , zeta ). Values for the constants are in degrees. Nonsignificant coefficients (p > 0.05) are indicated by asterisks.

In summary, the mechanical actions of all six muscles varied substantially with arm posture when these actions were defined either in the frame of reference of the insertions of these muscles (the upper arm) or the frame of reference of their origins (the body or trunk). These variations were not random but depended strongly on arm posture. For both frames of reference, the dependence on arm posture could be described mathematically by a four-term model containing only linear functions of the angles defining arm posture. In the arm-fixed frame of reference, torque direction varied strongly with humeral rotation and, to a lesser extent, upper arm azimuth. In the body-fixed frame of reference, torque direction instead varied most strongly with upper arm elevation.

Although the dependence of muscle torque direction on arm posture was mathematically simple in both frames of reference, the three-dimensional nature of the torque vectors and the large number of postures used may make it difficult to get an intuitive feel for the main trends in the data. To assist the reader in this respect, in Figure 11 we present three-dimensional plots of the predicted torque direction vectors for AD and SPec in the body-fixed frame of reference. These vectors originate at the right shoulders of the depicted "mannequins" and are colored according to upper arm elevation (yellow vectors, 15°; orange, 45°; red, 75°). The direction in which the arm would rotate in response to an applied torque can be ascertained by applying the right-hand rule to these vectors (see Data Analysis). The top panel demonstrates that when the upper arm is nearly vertical (yellow vectors), contraction of AD will cause the humerus to move forward, upward, and inward (toward the midline of the body). When the arm is oriented more horizontally (red vectors), AD will rotate the humerus inward in a plane close to the horizontal plane. This postural change in the action of AD reflects the dependence of beta  on upper arm elevation (theta ; see Table 2).


Fig. 11. Predicted torque direction vectors for anterior deltoid (AD, top) and the sternocostal head of pectoralis major (SPec, bottom), viewed in the body-fixed frame of reference. Vectors from 28 different arm postures are shown, representing three values each of upper arm azimuth, elevation, and humeral rotation and one additional posture. For the 27 postures, eta  ranged from -15 to -75°, theta  ranged from 15 to 75°, and zeta  ranged from -15 to 75°. Also included in each panel is a vector representing upper arm vertical (the 28th vector). Vectors are colored for upper arm elevation (theta ), with yellow vectors representing 0 or 15°, orange representing 45°, and red representing 75°. All vectors originate at the right shoulder of a mannequin, and the mannequins face forward. The Mx'-axis also points forward, the -My'-axis points to the left of the page (the mannequins' right), and the Mz'-axis points upward.
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The effects of upper arm elevation, azimuth, and humeral rotation on the action of SPec are shown in the bottom panel of Figure 11. With regard to the effects of elevation, this muscle acts to move the humerus primarily upward and inward (toward the midline of the body) when the upper arm is oriented more vertically (yellow vectors) and downward and inward when the arm is oriented more horizontally (red vectors). The illustrated change in action corresponds to a strong dependence of both alpha  and beta  on upper arm elevation (theta ; see Table 2). The effects of azimuth on beta  are also identifiable in the figure: within each set of colored vectors (yellow, orange, or red) three clusters with different orientations are apparent. Each cluster corresponds to a different value of azimuth (-15, -45, and -75°), and the vertical separation of the clusters reflects the tendency for beta  to decrease as the arm moves toward the midline of the body. The vectors cluster into groups of three because there are three values of humeral rotation (-15, 30, and 75°) at each value of elevation and azimuth. Thus, it becomes apparent that humeral rotation had virtually no effect on the orientation of these vectors when viewed in the body-fixed frame of reference.


DISCUSSION

In this paper we describe the mechanical actions of six superficial shoulder muscles across a range of arm postures. Estimates of muscle mechanical actions were obtained by electrically stimulating muscles to the point of contraction and simultaneously measuring the resulting forces and moments with a six-degree-of-freedom force-torque transducer. Muscle mechanical actions, as indicated by the direction of exerted torques, varied systematically with arm posture.