Tonic and rhythmic motor units activity of the cord induced by epidural stimulation can alter posterior roots muscle reflex responses

B. Jilge1, K. Minassian1, F. Rattay1, M.R. Dimitrijevic2

1 TU-BioMed Association for Biomedical Engineering,
Vienna University of Technology, Vienna, Austria

2 Department of Physical Medicine and Rehabilitation,
Baylor College of Medicine, Houston, Texas, USA

 jilgeber@uta1002.at, e9225637@student.tuwien.ac.at, frank.rattay@tuwien.ac.at, naisus@cs.com

 


Abstract

A train of electrical stimuli properly applied to the posterior structures of the human lumbar cord in chronically spinal cord injured (SCI) subjects is capable to build a certain organisation of spinal reflex pathways which depends on the frequency of the stimulus train, and is reflected in a particular shape of the EMG responses elicited in the lower limb muscles. A closer look to the features of these responses reveals that the neuronal organisation is slowly established following a well-defined, fixed order of configurations of the lumbar interneuronal network.

 

1.       Introduction

It has been shown [2] that sustained (tonic) electrical stimulation of posterior structures of the human lumbar cord, completely or partially isolated from the brain by SCI, can induce various rhythmical and non-rhythmical patterns of motor activity in paraplegic subjects (Fig. 1), while the characteristic responses of the lower limb muscles observed in the electromyographic (EMG) recordings appear to be the result of posterior root stimulation (posterior root muscle reflex responses, PRMRR). For different frequencies of the stimulus train, the EMG recordings reveal PRMRR of different shapes, presumably reflecting distinct configurations of the interneuronal network within the lumbar grey matter which is assumed to be activated by the externally applied stimulation. Using a fixed combination of stimulus parameters, particularly a constant frequency of the stimulus train, the shape of successive responses may first change significantly for a certain period of time from the onset of the stimulation until some kind of “equilibrium” has set it. This observation led us to the hypothesis that, for each stimulus frequency, the network of spinal interneurones tends to a temporally stable organisation, depending on the frequency actually applied, by passing through different configurations following a “fixed recruitment order” of interneuronal pathways.

 

2.       Subjects and Methods

We explored the above formulated hypothesis while recording brain motor control assessment (BMCA) [4] patterns of spinal cord motor responses in five people with chronic, discomplete [1], accidential SCI to epidural stimulation of the posterior structures of the upper lumbar cord. The procedure for the placement of the epidural electrode, and the technique of spinal cord stimulation (SCS) have been described on several occasions, see, e. g., [3]. For SCS the four contacts of the stimulating electrode (0 – 3, 0 being the most rostral, 3 the most caudal one) were used in pairs (cathode, anode) in “bi-polar” stimulation mode with a stimulus rate of 2.1 to 50 Hz, and an amplitude of 1 – 10 V.

The effects of SCS were verified by poly-EMG recording. EMG activity was recorded with the subjects in the supine position and the surface electrodes placed bilaterally over the quadriceps, adductors, hamstring, tibialis anterior, triceps surae, abdominal and paraspinal muscles. For further analysis, and for presentation purposes, the obtained EMG stripcharts were converted to stimulus-triggered raster representations.

 

3.       Results

Fig. 2 shows the typical shape of a PRMRR observed for the quadriceps muscle group immediately after the onset of stimulation (“early response”) using a stimulus frequency of 5 Hz (broken line), as well as an average of 10 successive PRMRR elicited during a later phase when the shape of the responses was (already) temporally stable (full line). The diagram also shows the (averaged) latency times of the responses, and the latencies of their potential peaks. When successive responses are compared, there may be some “jitter” in the latency times, but in the very most cases this jitter was within the accuracy of our EMG recordings, i. e. the standard deviation (SD; calculated over at least 10 responses) of the latencies was smaller or equal 0.5 msec (according to the sampling rate of our recordings of 2000 per second). When the latency time of a PRMRR had a SD ³ 0.5 ms, this was frequently “compensated” until the immediately following potential peak, the latency of which had a SD £ 0.5 ms again. We also wondered whether the latency times as well as their jitter depended on stimulus strength and frequency. They showed no significant differences when the stimulus strength was changed, but the latency times (of corresponding peaks) seem to decrease slightly with increasing stimulus frequency. However, responses obtained at a constant frequency are clearly time-correlated.

In Fig. 3, 18 successive PRMRR illustrate the transition from the early response shown in Fig. 2 to the later one which indicates some kind of “equilibrium state”. In fact, there is a gradual change from one state to the other, rather than “turning off” one and “turning on” the other. Fig. 4 gives a second example for the smooth transition from one state, configuration, of the “interneuronal system” to another. The diagram shows 50 successive PRMRR elicited at a constant frequency of 31 Hz, and obtained in the quadriceps muscles some seconds after the onset of the stimulation when the tonic muscle activity output started to convert to a phasic, rhythmical one. The two extremes observed (compare first and last response in this raster) may be referred to as “the early”, short-latency, and “the late”, long-latency component, respectively. When the “equilibrium state” has fully set in, the early component may be completely suppressed resulting in a prolonged latency time of the PRMRR during bursting activity.

The shapes of the PRMRR shown in Figs. 2 and 4 (late component) were revealed as typical for posterior root stimulation of the quadriceps muscle group as they appear repeatedly in the EMG recordings regardless of the frequency actually used for the stimulation (Fig. 5). In other words, for every stimulus frequency the responses observed immediately after stimulation onset had the same shape, and in the following the very same phases (configurations) were passed through until the responses remained temporally stable.

The results obtained for other muscle groups (e. g. hamstring and triceps surae) are analogous to those presented above for quadriceps.

 

4.       Summary and Conclusions

The results presented above suggest that a train of electrical pulses properly applied to the posterior structures of the human lumbar cord can be regarded as a conditioning stimulus capable to establish a certain organisation of spinal reflex pathways which depends on the frequency actually used. In parallel, each single stimulus within the pulse train may serve as a test stimulus in order to assess this organisation as well as the transitions between different configurations of the lumbar interneuronal network.

The fact that PRMRR obtained at a constant frequency are time-locked suggests that some neuronal organisation has been set up. Our results strongly support the hypothesis that the transition from one organisation to the other follows a strict, well-defined order of configurations involving more and more centrally situated interneurones. Fig. 6 may be an expressive graphic representation of how these transitions are accomplished. Simply speaking, the higher the stimulus frequency, the “deeper” the “central” or “core” interneurones that are finally recruited.

We do believe that the technique described above and used for this study will prove to be a powerful tool in the assessment of the organisation of spinal cord circuitry.

 

References

[1]  M. R. Dimitrijevic. Motor control in chronic spinal cord injury patients. Scand J Rehab Med, Suppl 30, pp 53–62, 1994.

[2]  M. R. Dimitrijevic, Y. Gerasimenko, M. M. Pinter. Evidence of a Spinal Central Pattern Generator in Humans. In: O. Kein, R. M. Harris-Warrick, L. M. Jordan, H. Hultborn, N. Kudo (eds). Neuronal Mechanisms for Generating Locomotor Activity. Annals of the New York Academy of Sciences, Vol. 860, pp 360–376, 1998.

[3]  M. Murg, H. Binder, M. R. Dimitrijevic. Epidural electrical stimulation of posterior structures of the human lumbar spinal cord: 1. muscle twitches – a functional method to define the site of stimulation. Spinal Cord 38, pp 394–402, 2000.

[4]  A. M. Sherwood, W. B. McKay, M. R. Dimitrijevic. Motor Control after spinal cord injury: assessment using surface EMG. Muscle & Nerve 19, pp 966–979, 1996.