Study On The Time-frequency Distribution Pattern Of Somatosensory Evoked Potentials In Different Subjects

The waveform component of somatosensory evoked potential(SEP)contains physiological information of the nervous system,which can provide an objective basis for clinical evaluation of neurological function and the integrity of somatosensory pathways,and is a common method for early diagnosis of cervical spondylotic myelopathy(CSM).Understanding the relationship between somatosensory evoked potential signals and neural function is the basis of accurate diagnosis.Previous SEP studies were mainly based on animal experimental models,and the direct connection of somatosensory evoked potential signals between animals and humans has not been systematically analyzed.In addition,the evaluation criteria for animal models are generally based on the time-domain analysis method of SEP signals.Compared with this,time-frequency analysis can provide earlier and more sensitive nervous system information.Therefore,it is necessary to reveal the electrophysiological correlation between animals and humans from the time-frequency domain.The purpose of this research is to explore the time-frequency characteristics of SEP waveforms using high-resolution matching pursuit time-frequency analysis methods.Humans,monkeys,goats,and rats are selected as experimental subjects to reveal the relationship between the time-frequency distribution patterns of SEP between humans and different animals,and to verify the stability and specificity of the time-frequency distribution patterns of SEP in animal models after cervical spinal cord injury.This reveals the neuro-electrophysiological correlation between humans and animals.This study found that monkey,goat,rat and human SEP time-frequency components have similar stable distribution patterns under normal conditions,with three stable timefrequency components distribution regions,and the three animal models are similar to the normal human in SEP time-frequency components.There is a significant correlation between them(monkey-human:r>0.900,P<0.01;goat-human:r>0.894,P<0.01;rat-human:r>0.943,P<0.01).There is a highly fitted linear regression relationship between the main characteristic parameters of the time-frequency components(peak time,peak frequency,peak energy)(R2>0.7987).After cervical spinal cord injury,the timefrequency distribution patterns of SEP in rats and goats are consistent.SEP has more small time-frequency components and the distribution of frequency components is relatively scattered,However,the three stable time-frequency components still exist and are significantly different from the distribution pattern before injury(P<0.05).After injury to different segments of the cervical spinal cord in rats,the time-frequency distribution patterns of SEP in different segments are specific.This study shows that different animals have a correlation and linear relationship with the high-resolution time-frequency components of human SEP signals.The changes in the time-frequency distribution patterns of SEP signals after spinal cord injury reflect the relevant information of spinal cord injury,confirming the difference There is a certain connection between SEPs between species,which provides a basis for the future application of the results of animal experiments to clinical research,and at the same time provides new ideas for pathological evaluation and focal location diagnosis of cervical spondylotic myelopathy.