전기 자극에 의한 해마뉴런의 네트워크 변화

Abstract

The neuronal network is comprised of synaptic associations. The neuronal system is non-linear dynamic system. Through rapid communication between neurons in the network, neuronal networks can create complex electrophysiological spatio-temporal patterns. The communication signal is called spontaneous activity. The signal seems to play a key role in brain functions such as learning and memory. Spontaneous activity was recorded with 60 channel multi-electrode array (Multi Channel Systems, Reutlingen, Germany), with 30um diameter, 200um-spacing. Stimuli were generated using STG 2003(Multi Channel Systems, Reutlingen, Germany). After 1200× amplification, signals were sampled at 25 kHz. Spontaneous activities were recorded for 5 min both before and after HFS. High frequency stimulation was consisted of 151 trains of +/- 0.9V bipolar pulses of lasting for 200 delivered every 2 s. Every train consisted of 100 pulses at 250 Hz. After HFS, resting period was about 5min. The uppermost row of electrodes (6 electrodes) was stimulated in multi-electrode array. Spontaneous activities were recorded by Mc_rack. Spike analysis was done Mc_rack. I was analyzed data using MATLAB program. In our study, we compared before stimulation neuronal network to after stimulation neuronal network. The neuronal networks were analyzed using firing rate, spike histogram, spike map, cross-correlogram. The result was that a few pathways were increased connectivity.