CAJ | 학술논문

目的：通过分析处理脑磁数据，显示全脑三维能量分布，以期准确的反映脑部的神经活动情况。方法：选择小波函数对脑磁信号进行分析得到频域数据，将能量信息映射到与之对应的传感器位置，在传感器之间进行适当的插值，创建三维坐标下的补片，显示全脑三维能量分布。为验证方法的有效性，采集手指运动试验的脑磁数据，选取特定频率段，分析讨论不同时间下的地形图。结果：能量分布图反映的信息与运动事件相关同步研究的描述一致，即对侧初级运动区(M1)和双侧辅助运动区(SMA)会出现高能量信号，神经活动活跃。结论：该方法可以全面准确地反映大脑的神经活动情况，为分析大脑神经活动、确定神经活动源发位置提供了有价值的参考方法。
목적：통과분석처리뇌자수거，현시전뇌삼유능량분포，이기준학적반영뇌부적신경활동정황。방법：선택소파함수대뇌자신호진행분석득도빈역수거，장능량신식영사도여지대응적전감기위치，재전감기지간진행괄당적삽치，창건삼유좌표하적보편，현시전뇌삼유능량분포。위험증방법적유효성，채집수지운동시험적뇌자수거，선취특정빈솔단，분석토론불동시간하적지형도。결과：능량분포도반영적신식여운동사건상관동보연구적묘술일치，즉대측초급운동구(M1)화쌍측보조운동구(SMA)회출현고능량신호，신경활동활약。결론：해방법가이전면준학지반영대뇌적신경활동정황，위분석대뇌신경활동、학정신경활동원발위치제공료유개치적삼고방법。
Objective: A three-dimensional energy distribution over the whole brain will be displayed by analyzing the brain magnetic data, so as to reflect the neurological activity of the brain accurately. Methods:The brain magnetic signal was processed with wavelet function to get frequency domain data. The energy information is mapped to the corresponding sensors’ position. In order to show the energy distribution, the author interpolated between sensors, created three-dimensional patches. For the purpose of validating, MEG data from a finger exercise testing subject was analyzed. Moreover, data of particular frequency was discussed also. Results: What it shows is consistent with description on event related synchronization. Actually the movements activated contralateral primary motor cortex (MI), bilateral supplementary motor area (SMA). Conclusion:Because of reflecting neurological activity accurately, it is said this method provides a valuable reference to analyze brain activity and locate neural activity.