"To the question of the descending fiber systems in the posterior columns of the spinal cord"

Among the still very few elucidated questions about the course of fibers in the spinal cord is the question of the descending systems in the posterior columns. Until recently, a view was adopted that the posterior columns of the spinal cord pass through the systems of fibers, going in the direction of the brain. This view was mainly based on the fact that in case of spinal cord disorders, the Wallerian regeneration of the fibers was higher than the damage.

A. P. Bazilevsky. On the descending systems of the cerebellum in the spinal cord by the method of fresh rebirths (Marchi). — Diss. SPb. 1896

For the purpose of repetition of Biedl's experiments, the author cut the hind cerebellar peduncle in dogs and studied the descending degeneration in the spinal cord. Based on the results of his research, the author comes to the following conclusions.

Spinal motoneuron firing properties mature from rostral to caudal during post-natal development of the mouse

Altricial mammals are born with immature nervous systems comprised of circuits that do not yet have the neuronal properties and connectivity required to produce future behaviours. During the critical period of post-natal development, neuronal properties are tuned to participate in functional circuits. In rodents, cervical motoneurons are born prior to lumbar motoneurons, and spinal cord development follows a sequential rostro-caudal sequence. Here we asked whether birth order is reflected in the post-natal development of electrophysiological properties. We show that motoneurons of both segments have similar properties at birth and follow the same developmental profile, with maximal firing increasing and excitability decreasing into the 3rd post-natal week. However, these maturative processes occur in cervical prior to lumbar motoneurons, correlating to the timing of arrival of descending systems. These results suggest that motoneuron properties do not mature by cell autonomous mechanisms alone, but rather depend on developing descending and spinal circuits.

Recovery of hand function after stroke: separable systems for finger strength and control

Loss of hand function after stroke is a major cause of long-term disability. Hand function can be partitioned into strength and independent control of fingers (individuation). Here we developed a novel paradigm, which independently quantifies these two aspects of hand function, to track hand recovery in 54 patients with hemiparesis over the first year after their stroke. Most recovery of both strength and individuation occurred in the first three months after stroke. Improvement in strength and individuation were tightly correlated up to a strength level of approximately 60% of the unaffected side. Beyond this threshold, further gains in strength were not accompanied by improvements in individuation. Any observed improvements in individuation beyond the 60% threshold were attributable instead to a second independent stable factor. Lesion analysis revealed that damage to the hand area in motor cortex and the corticospinal tract (CST) correlated more with individuation than with strength. CST involvement correlated with individuation even after factoring out the strength-individuation correlation. The most parsimonious explanation for these behavioral and lesion-based findings is that most strength recovery, along with some individuation, can be attributed to descending systems other than the CST, whereas further recovery of individuation is CST dependent.

Circuits Generating Corticomuscular Coherence Investigated Using a Biophysically Based Computational Model. I. Descending Systems

Recordings of motor cortical activity typically show oscillations around 10 and 20 Hz; only those at 20 Hz are coherent with electromyograms (EMGs) of contralateral muscles. Experimental measurements of the phase difference between approximately 20-Hz oscillations in cortex and muscle are often difficult to reconcile with the known corticomuscular conduction delays. We investigated the generation of corticomuscular coherence further using a biophysically based computational model, which included a pool of motoneurons connected to motor units that generated EMGs. Delays estimated from the coherence phase–frequency relationship were sensitive to the width of the motor unit action potentials. In addition, the nonlinear properties of the motoneurons could produce complex, oscillatory phase–frequency relationships. This was due to the interaction of cortical inputs to the motoneuron pool with the intrinsic rhythmicity of the motoneurons; the response appeared more linear if the firing rate of motoneurons varied widely across the pool, such as during a strong contraction. The model was able to reproduce the smaller than expected delays between cortex and muscles seen in experiments. However, the model could not reproduce the constant phase over a frequency band sometimes seen in experiments, nor the lack of around 10-Hz coherence. Simple propagation of oscillations from cortex to muscle thus cannot completely explain the observed corticomuscular coherence.