Study of Potentials of Motor-controlling Relatives
Hongguang Liu · 2005
Objectives:The topic of this dissertation was studying the oscillatory physiological mechanisms and characteristic by which the immense number of neurons of proprioceptive afferent information and movement control in the human brain. An integrative neurophysiology should describe activity of several brain areas and their multifold potential from a global viewpoint. Method:This dissertation was reportage the research of neuronal potential signal at three administrative levels of digital quantitative EEG, frequency analysis and power spectrum analysis, evoked potential of 0.2 ms intersample interval (ISI) duration 100 ms analysis with MATLAB program processing, based on the neocortical dynamics of macroscopic-scale EEG measurements and stimulus-specific oscillatory responses of the brain. Results:Digital quantitative EEG, some absolute, relative, monopolar mean frequency of kinesthesia and kinesthetic perception area FP2, F6, C4, F8, T6 were lower than the value of corresponding hemishere within delta, theta, alpha, beta band. Frequency and power spectrum analysis: in primary activity cortex area , peak power, total power of the frequency, highest amplitude within δ,θ,α,βbands, the specified (95) percentage of the power of the waveform is at or below the frequency value, the more activity the more higher frequency in the brain plot. Conclusions: During the transitions of EEG from disordered to order states, many and strong sensory stimuli bring into a more coherent state and the spatially distributed but temporally coherent (simultaneous) electrical activity state. All the oscillation frequency is selectively distributed with the entire brain. Sensory or cognitive inputs bring this oscillation frequency into a resonating state. Selectively distributed oscillatory systems govern the excitability and communication of all brain structures.