Rejecting the Equilibrium-Point Hypothesis: An Editorial

Gerald L. Gottlieb

The lambda version of the equilibrium point hypothesis has been a fertile intellectual model for discussing how the CNS controls voluntary movement for over 35 years. As it has been progressively elaborated by its originator and advocates, it has attempted to become a more complete description of how hypothesized command signals from the brain are transformed into muscle contraction and movement by peripheral neuromuscular structures. The most recent step in this process has been the publication of a detailed model for single joint movement [1]. That work, and the earlier essay by Feldman and Levin [2], have convinced me that the notion that the CNS controls movement by specifying the trajectory of a moving equilibrium point, remains subtly but profoundly flawed. Because it proposes a conceptually attractive way of thinking about movement control, and perhaps because of its longevity, it has been widely used and cited with, what is in my opinion, insufficient critical understanding. This editorial offers a small antidote to that lack and describes what I consider the most egregious problems with the hypothesis.

Let us begin however with a principal point of agreement. The neuromuscular system creates a movable equilibrium position (EP) for a joint such that, in the absence of external forces, the joint will approach and rest at its EP. This essential truth has always been at the core of the equilibrium point hypothesis but it is also at the core of all modern theories of movement. What is required of a theory of movement is a clear and complete definition of its independent or control variables, of the rules by which those variables specify changes in movement features such as distance, speed and load, and any major assumptions which may underlie or limit its range of validity. This essay presents three reasons why the equilibrium point hypothesis in its most widely cited formulation [1,2], fails to satisfy these requirements.

In [2], the control variables have been defined in two different ways. The theory is formulated in terms of a variable called lambda, from which it derives its name, that is defined as a threshold at which the tonic stretch reflex will start to activate a motor neuron pool. This is a bioelectrical definition. Lambda is also described as the angle at which the torque-angle relation of the tonic stretch reflex crosses the abscissa and muscle torque equals zero, a biomechanical definition. Two new variables called Reciprocal (R) and Coactivating (C) central commands are then defined respectively as the sum and the difference of the lambdas of the antagonist muscles. R and C are also described in terms of their mechanical properties; R being the determinant of the equilibrium position (EP) of the joint and C modulating it’s stiffness. To move, the theory postulates that the CNS specifies the temporal patterns of the central commands R and C and of another central command variable called m that controls feedback gain. These commands, in combination with peripheral feedback signals from muscle proprioceptors, activate the muscles. According to [2, p 731], "a change in the R command gives rise to a shift in the EP of a joint" and if external forces permit, movement follows. "The C command [influences joint stiffness but] does not affect the EP of the joint." An implicit assumption here is that the transformation of lambda into muscle tension, a transformation that involves the full spectrum of motoneuron, muscle fiber and joint biomechanical properties, is identical for both flexors and extensors. The antagonist muscles/reflexes must have, in the model’s terminology, identical static "invariant characteristics" and identical dynamical joint torque (e.g. twitch and force/velocity) characteristics. At few (and perhaps no) joints will these conditions be met, the ankle dorsi/plantar flexors and the jaw openers/closers being just two examples of joints with strong asymmetries. Compounding the effects of muscle asymmetries is the fact that the dynamical properties of shortening and lengthening muscles are very different from each other. Without those assumptions, these definitions of R, C and lambda are incompatible. As the control variables are presently defined, the C command does affect the EP of the joint because it will produce a change in net joint torque. While it may in principle be possible to address this by redefining the relationships between R/C and the lambdas, the computational problems this would raise appear daunting and physiologically implausible but the issue has never been addressed. Except under idealized conditions, R does not define an EP.

A second problem is that the highly constrained patterns of R and C described by Feldman and his colleagues [1,2] require high levels of joint viscosity for a simulated movement to terminate smoothly at its target. Those levels appear to be far above the values that have been estimated by experiment (e.g. [3]). Hence in contradiction of experimental data, the model assumes unrealistic and unphysiological parameters for neuromuscular properties. This problem might be addressed by using different R and C patterns (e.g. Latash’s N-shaped patterns [4]) but this idea has been rejected by Feldman [2]. It’s discussion must await another editorial.

The most attractive feature of the lambda hypothesis is that it lets us conceptualize movement control in terms of positional concepts such as a virtual trajectory. This is simple, elegant and seductive. However, it ignores the issue that leads to our third criticism. Control is not effected by the construction of a virtual trajectory or R command alone but only by the added construction of the equally important C command as well as others that control the strength of feedback signals (e.g. m). Despite 35 years of development including the articles cited above, there are still no explicit, systematic rules for any variable other than R ([1], fig 3). The theory and the simulations give us little guidance as to how C or m change to move a single joint over different distances, at different speeds or with different external loads. The rules for C and m are neither obvious nor simple and it is impossible to define their behavior without explicit consideration of the dynamics of the moving system. Yet it is the claimed ability to describe control in positional terms or shifting "frames of reference," rather than in dynamical terms, that has made the equilibrium point hypothesis so attractive.

In light of the above, we suggest that it is not useful to think of controlling movement in terms of this proposed formulation of R, C and m commands. As yet the published record does not tell us in a reasonable way how this happens. This version of the equilibrium point hypothesis assumes parameters with values that are unphysiological, it inaccurately describes the effects of its control variables on movement except under implied and unphysiological assumptions, and by defining the behavior of only one of its control variables, it has obscured how incomplete a description it offers of movement control.

Above all, a theory of movement should offer insight into why we make movements the way we do and why we activate the muscles in particular patterns. I do not think the equilibrium point hypothesis offers any unique ideas that are helpful in addressing either of these questions. It is time for the field to turn to new paradigms.

Citations

[1] St-Onge, N., Adamovich, S. V. and Feldman, A. G. Control processes underlying elbow flexion movements may be independent of kinematic and electromyographic patterns: experimental study and modeling. Neuroscience, 79(1), 295-316. 1997.

[2] Feldman, A. G. and Levin, M. F. The origin and use of positional frames of reference in motor control. Behav Brain Sci, 18, 723-806. 1995.

[3] Gomi, H. and Osu, R. Human arm stiffness and viscosity in interaction with environments on a horizontal plane (No. ISRL-96-3). NTT Basic Research Labs. Information Science Research Lab. 1996.

[4] Latash, M. L. (1993). Control of Human Movement. Urbana, IL, Human Kinetics.