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不同线性插值方法对平均平方根值脑电地形图的影响

Influence of different linear interpolation algorithm on root-mean-square power in brain electrical activity mapping
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摘要 目的:探讨不同插值计算方法对构建平均平方根值脑电地形图的影响。方法:检查于1993-01/1998-12在解放军总医院和中华疼痛医学会第二临床中心门诊完成。使用美国NeuroscanInc公司基于通用计算机系统的脑电采集系统,连续记录脑电信号,24名20~29岁正常受试者。受试者在安静清醒条件下记录,使用10/20%系统放置电极,单极记录(A1+A2)28通道脑电图。连续记录100~240s的脑电,取1s为一个时间段进行FFT变换,采样率256Hz,频率分辨率1Hz。用眼动伪迹矫正程序去除伪迹。使用脑电波幅频谱,根据线性插值计算方法,选择不同的邻近电极点(1,2,3,4)进行脑电地形图电位的插值计算。脑电地形图用平均平方根功率(波幅频谱)表示。结果:①不同的插值方法明显影响脑电地形图的电位分布。增加插值参考点,脑电地形图的精确性增加。②各个频带最大的功率主要位于中线部位的Fz,Cz,Pz,PO1,PO2,O2。最低功率位于双颞叶T3,T4。各个频段最高功率值为12.55±8.80(α2),8.94±5.17(α1),7.49±3.11(δ),7.47±2.02(θ),3.25±1.32(β1),1.51±0.38(β2)。③δ(2~4Hz),θ(5~7Hz),α1(8~9Hz),α2(10~13Hz),β1(14~20Hz),β2(21~32Hz)频带所有28通道平均平方根功率值均在20μV以下。结论:4点插值计算方法的脑电地形图最精确,使用不同的插值方法计算脑电地形图是必要的。中线电极是计算脑电地形图不可缺少的电极部位。 AIM: To investigate the effect of different interpolation methods in construction of brain electrical activity map (BEAM) on root-mean-square power. METHODS: The examination was carried out in the General Hospital of Chinese PLA and the out-patient clinic of Second Clinical Center of Chinese Association for the Study of Pain from January 1993 to December 1998. Continuous electroencephalogram (EEG) were collected with a PC-based EEG acquisition system (Neurosoft Inc) from 28-channels using 10/20% system monopolar ontage (A1+A2) in 24 healthy volunteers (20-29 years). Subjects were instructed to remain relaxed, but awake, and to avoid eye or body movements during the recording periods. The continuous 100-240 s EEG data were segmented into 1 s epochs for FFT transform (sampled at 256 Hz, 1 Hz frequency resolution). The epochs contaminated by eye movement-related artifacts were excluded from analysis using.a rejection criterion procedure. Recorded EEG using several different interpolation point (1 point, 2 point, 3 point, 4 point)determined the number of nearest neighboring electrodes to be used by the linear interpolation algorithm in BEAM.. BEAM was constructed from amplitude spectrum data (root-mean-square power). RESULTS: ① Election of the different interpolation point obviously influenced distribution of BEAM. Added interpolation point increased the accuracy of BEAM. ②The maximal power be mainly closed to midline electrodes (Fz,Cz,Pz,PO1,PO2,O2). The minimum was located temporal (T3, T4). The highest power of different bandpass was (12.55±8.80) (α2), (8.94±5,17) (α 1), (7.49±3.11) (δ), (7.47±2.02) (θ), (3.25 ±1.32) (β1), (1.51-0.38) (β2). ③28-channel of δ(2-4 Hz),θ(5-7 Hz),α1(8-9 Hz), α2(10-13 Hz),β1(14-20 Hz),β2(21-32 Hz) in root-mean-square power was under 20 μV. CONCLUSION: Four-point interpolation is exact algorithm method for BEAM, but the different methods is also necessary. The midline recording is very important in construction of BEAM.
出处 《中国临床康复》 CSCD 北大核心 2006年第33期104-106,i0005,共4页 Chinese Journal of Clinical Rehabilitation
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参考文献15

  • 1Cook IA,O'Hara R,Uijtdehaage SH,et al.Assessing the accuracy of topographic EEG mapping for determining local brain function.Electroencephalogr Clin Neurophysiol 1998; 107(6):408-14
  • 2Yao D.High-resolution EEG mapping:a radial-basis function based approach to the scalp Laplacian estimate.Clin Neurophysiol 2002;113(6):956-67
  • 3Soong AC,Lind JC,Shaw GR,et al.Systematic comparisons of interpolation techniques in topographic brain mapping.Electroencephalogr Clin Neurophysiol1993; 87(4):185-95
  • 4丁占勤.腔隙性脑梗死患者脑电地形图变化特征[J].中国临床康复,2003,7(5):791-791. 被引量:3
  • 5张德明,陆国平,张伯英.老年性痴呆病与正常老年人脑电图、脑电地形图对照分析[J].中国临床康复,2002,6(19):2876-2877. 被引量:6
  • 6Tenke CE,Kayser J.Reference-free quantification of EEG spectra:combining current source density (CSD) and frequency principal components analysis(fPCA).Clin Neurophysiol 2005;116(12):2826-46
  • 7He B,Lian J,Li G.High-resolution EEG:a new realistic geometry spline Laplacian estimation technique.Clin Neurophysiol 2001;112:845-52
  • 8Casaglia DC,Pantaleo GG.Brain mapping:a contribution to linear interpolation.Brain Topogr 1993;5(3):283-8
  • 9贺念.脑卒中不同病情患者不同参考电极的脑电地形图表现[J].中国临床康复,2003,7(28):3889-3889. 被引量:1
  • 10Asano E,Muzik O,Shah A,et al.Quantitative visualization of ictal subdural EEG changes in children with neocortical focal seizures.Clin Neurophysiol2004; 115(12):2718-27

二级参考文献15

  • 1孙波.SPECT脑血流量象[J].中华核医学杂志,1988,8(2):711-711.
  • 2冯应琨.临床脑电图学[M].北京:人民出版社,1999.330-2.
  • 3Maurer K.Mapping of EEG and evoked potentials.Atlas Brain Mapping 1991;17:54-9
  • 4Polich J.Detection of Change:Event-Related Potential and fMRI Findings Publisher:Kluwer Academic Publishers 2003;101-22
  • 5Rohrbaugh JW,Parasuraman R,Johnson R Event-Related Brain Potentials:Basic Issues and Applications.Publisher:Oxford University Press 1996:38-47
  • 6Morihisa TM. BEAM in Psychiatry. Washington DC: American Psychiatric Press 1984: 78 - 84
  • 7Zhang MD, Chen XS. Evoked brain potentials. 2nd ed. Shanghai: Shanghai Scientific & Technology Publishing Co., 1997:225 -44
  • 8Iscan A, Ozkul Y, Unal D, et al. Abnormalities in event-related potential and brainstem auditory evoked response in children with nocturnal enuresis. Brain Development 2002:24 ( 7 ): 681 - 7
  • 9Hymel MR,Cranford JL,Carpenter M,et al.Electrophysiologic signs of auditory competition inthe human brain.Neroscience Letters 2000;283(2):105-8
  • 10周树舜.脑电地形图正常值[J].计算机应用研究杂志,1991,6(1):79-79.

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