摘要
局部场电位(LFP)反映了视觉刺激下大脑皮层局部区域神经元集群的响应。LFP响应特征的准确提取,对分析视觉信息的处理机制具有重要意义。本研究针对LFP的非平稳特性,采用具有自适应特征的希尔伯特黄变换,分解LFP固有模态分量,据此研究了大鼠V1区对刺激光栅空间频率的响应调谐特性,并与多神经元锋电位(MUA)和小波分解提取的Gamma频带进行了对比。结果表明:LFP第二阶固有模态分量对刺激光栅空间频率的调谐特性最强,调谐指数的均值(0.795 1)高于MUA调谐指数(0.631 3)和小波分解调谐指数(0.664 6),而且与MUA响应一致率达68.75%。所提出的方法在LFP响应频带特征提取上更有优势。
Local field potential (LFP) reflects the response of the neuron clusters in the local area of cerebral cortex under visual stimulation. Extracting response characteristics of LFP accurately is of great importance to the analysis of visual information processing mechanism. Here, Hilbert-Huang transform which has adaptive characteristics was adopted according to the non-stationary of LFP, and the tuning characteristics of the stimulate raster spatial frequency response in V1 area of the rat based on the intrinsic mode components of LFP was studied, and Multi-unit activity (MUA) and Gamma-band extracted with wavelet decomposition were compared. Results showed that the second intrinsic mode function of LFP was the strongest on the tuning characteristics of stimulate raster spatial frequency, and the average of tuning index (0. 795 1 ) was greater than MUA (0.631 3) and wavelet decomposition (0.664 6), and its consistency rate with MUA was 68.75%. Therefore, the proposed method in feature extraction of response band has more advantages.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2013年第3期292-298,共7页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金项目(60971110)
河南省科技攻关计划项目(122102210102)
关键词
局部场电位
希尔伯特黄变换
固有模态分量
调谐特性
local field potential
Hilbert-Huang transform
intrinsic mode functions
tuning characteristics