| Summary: | 碩士 === 國立成功大學 === 醫學工程研究所 === 91 === The technique for multi-site recording has been used for characterizing the dispersed activities among large populations of neurons involved in processing information. The aim of this study is to establish a signal measurement system for multi-site recording of brain activities and signal analysis method for extracting the underlying sources. To validate the proposed recording systems and analysis methods, a series of animal experiments were performed. The male Wistar rats were first anesthetized and then transferred to stereotaxic apparatus for implantation of multi-ware electrode located in both primary sensory cortex (SI). During the experiment, sessions of measurements for somatosensory evoked potential (SEP), induced by electrical stimulus at rat’s tail base, were recorded. With the multi-site recordings, a multivariate statistical method, called independent component analysis (ICA), was used to decompose the sources between concurrently recorded neurons and reduce the overlapping information measured from independent sources. The decomposed signals were represented in a topographic form to observe the spatiotemporal distribution of the brain mapping. Our results indicated that the ICA algorithm could separate the stimulus artifact from the SEP that significantly distinguish independent signal characteristics in simultaneous SEP recordings. The ultimate goal of this study is to perform multi-site recording of brain activities for studying the animal behavior at a free movement condition.
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