物理学报
物理學報
물이학보
2013年
9期
483-492
,共10页
薛明%王江*%邓斌%魏熙乐%陈颖源
薛明%王江*%鄧斌%魏熙樂%陳穎源
설명%왕강*%산빈%위희악%진영원
针刺%点过程%广义线性模型%神经解码
針刺%點過程%廣義線性模型%神經解碼
침자%점과정%엄의선성모형%신경해마
acupuncture%point process%generalized linear model%neural decoding
神经系统以时空编码形式刻画外部刺激信息,针刺作为对穴位的机械作用可以等效为对神经系统的一种外部刺激.为了揭示神经系统如何表达和传递针刺作用,本文设计了不同频率的针刺动物实验,即在针刺大鼠足三里穴位时获取脊髓背根神经节电信号.首先,经过数据预处理获得单神经元动作电位序列并转化为点过程序列.其次,应用广义线性模型(GLM)编码针刺作用,产生模拟的神经放电序列.另外,在模型基础上应用贝叶斯解码,根据神经放电序列重构针刺随时间变化的位移波形.最后,基于时间重标度理论应用分位数分位数(Q-Q)图方法检验编码模型与点过程数据的一致性.结果表明, GLM能够模拟针刺神经编码,并正确解码针刺信息.本文为针刺研究提供了新的视角,对于构建神经系统与机器接口以改善针刺的临床研究具有潜在意义.
神經繫統以時空編碼形式刻畫外部刺激信息,針刺作為對穴位的機械作用可以等效為對神經繫統的一種外部刺激.為瞭揭示神經繫統如何錶達和傳遞針刺作用,本文設計瞭不同頻率的針刺動物實驗,即在針刺大鼠足三裏穴位時穫取脊髓揹根神經節電信號.首先,經過數據預處理穫得單神經元動作電位序列併轉化為點過程序列.其次,應用廣義線性模型(GLM)編碼針刺作用,產生模擬的神經放電序列.另外,在模型基礎上應用貝葉斯解碼,根據神經放電序列重構針刺隨時間變化的位移波形.最後,基于時間重標度理論應用分位數分位數(Q-Q)圖方法檢驗編碼模型與點過程數據的一緻性.結果錶明, GLM能夠模擬針刺神經編碼,併正確解碼針刺信息.本文為針刺研究提供瞭新的視角,對于構建神經繫統與機器接口以改善針刺的臨床研究具有潛在意義.
신경계통이시공편마형식각화외부자격신식,침자작위대혈위적궤계작용가이등효위대신경계통적일충외부자격.위료게시신경계통여하표체화전체침자작용,본문설계료불동빈솔적침자동물실험,즉재침자대서족삼리혈위시획취척수배근신경절전신호.수선,경과수거예처리획득단신경원동작전위서렬병전화위점과정서렬.기차,응용엄의선성모형(GLM)편마침자작용,산생모의적신경방전서렬.령외,재모형기출상응용패협사해마,근거신경방전서렬중구침자수시간변화적위이파형.최후,기우시간중표도이론응용분위수분위수(Q-Q)도방법검험편마모형여점과정수거적일치성.결과표명, GLM능구모의침자신경편마,병정학해마침자신식.본문위침자연구제공료신적시각,대우구건신경계통여궤기접구이개선침자적림상연구구유잠재의의.
Neural system can characterize the information evoked in external stimulations by spatiotemporal encoding. Acupunctureas, as a mechanical actionis equivalent to an external stimulus to the neural system. In order to decipher how neural systems represent and transmit acupuncture information, experiments are designed such that different frequencies of manual acupuncture (MA) manipulations can be given to ’Zusanli’ point of an experimental rat, and the induced electrical signals in spinal dorsal root ganglion are detected and recorded. First, the spike trains are obtained by data preprocessing and transformed into point process trains. Then a generalized linear model is introduced to encode the acupuncture information and produce the simulated neural spike train. In addition, a Bayesian decoding algorithm is used to reconstruct the displacement oscillograms of the acupuncture needle from the neural point process spike train. Finally, the quantile-quantile (Q-Q) plot based on the time-rescaling theorem is used to evaluate the agreement between the encoding model and the point process data. Results prove to be valid based on statistical analysis. These studies have offered new insights into neural processing underlying acupuncture and have implementations for constructing the interface between neural systems and machines and improving the clinical study.