Probability of conduction deficit as related to fiber length in random-distribution models of peripheral neuropathies.
This paper presents a set of probabilistic models which reproduce the proximodistal gradient of sensory deficit in peripheral neuropathies, on the basis of the occurrence of axonal dysfunction as a result of randomly distributed abnormalities. The models, which are based on conduction block, loss of temporal coherence, and weak interactions between nerve fibers, demonstrate that randomly distributed axonal dysfunction provides a sufficient condition for distal sensory deficit. The models predict a marked reduction in the length for normal sensory conduction with small increases in the probability of axomal dysfunction, providing a possible correlate for the rapid clinical progression of some neuropathies. The hypothesis that weak interactions between fibers result in paresthesiae in peripheral neuropathies is also discussed.
D006801:Humans; D008433:Mathematics; D008959:Models, Neurological; D009431:Neural Conduction; D010292:Paresthesia / Q000209:etiology; D010523:Peripheral Nervous System Diseases / Q000150:complications / Q000503:physiopathology*; D011336:Probability