What does an epileptiform spike look like in MEG? Comparison between coincident EEG and MEG spikes

被引:22
作者
Fernandes, JM
da Silva, AM
Huiskamp, G
Velis, DN
Manshanden, I
de Munck, JC
da Silva, FL
Cunha, JPS
机构
[1] Univ Aveiro, IEETA, P-3810 Aveiro, Portugal
[2] Univ Aveiro, Dept Elect & Telecommun, P-3810 Aveiro, Portugal
[3] Univ Porto, Hosp Geral Santo Antonio, Serv Neurofisiol, P-4100 Oporto, Portugal
[4] Univ Porto, IBMC, ICBAS, P-4100 Oporto, Portugal
[5] Univ Utrecht, Med Ctr, Dept Clin Neurophysiol, NL-3508 TC Utrecht, Netherlands
[6] Dutch Epilepsy Clin Fdn, Dept Clin Neurophysiol, SEIN, Heemstede, Netherlands
[7] Vrije Univ Amsterdam, Ctr Med, MEG Ctr, Amsterdam, Netherlands
[8] Univ Amsterdam, Dept Physiol, NL-1012 WX Amsterdam, Netherlands
关键词
MEG; spike characterization; automatic spike detection;
D O I
10.1097/01.WNP.0000150999.67749.6D
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Recent investigations suggest that there are differences between the characteristics of EEG and MEG epileptiform spikes. The authors performed an objective characterization of the morphology of epileptiform spikes recorded simultaneously in both EEG and MEG to determine whether they present the same morphologic characteristics. Based on a stepwise approach, the authors performed a computer analysis of EEG and MEG of a set of coincident epileptiform transients selected by a senior clinical neurophysiologist in recordings of three patients with drug-resistant epilepsy. A computer-based algorithm was applied to extract parameters that could be used to describe quantitatively the morphology of the transients, followed by a statistical comparison over the extracted metrics of the EEG and MEG waveforms. EEG and MEG coincident events were statistically different with respect to several morphologic characteristics, such as duration, sharpness, and shape. The differences found appear to be a consequence of MEG signals not being influenced by volume propagation through the tissues with different conductivities that surround the brain, compared with EEG, and of the different orientation of the underlying dipolar sources. The results indicate that visual inspection of MEG spikes and automatic spike-detector algorithms should use criteria adapted to the specific characteristics of the MEG, and not simply those used on conventional EEG.
引用
收藏
页码:68 / 73
页数:6
相关论文
共 21 条
[1]  
ARMITAGE P, 1971, STATISTICAL METHODS, P189
[2]  
BAILLET S, 2002, P BIOM 2002 BERL VDE, P223
[3]   HYBRID COMPUTER SYSTEM FOR DETECTING AND QUANTIFYING SPIKE AND WAVE EEG PATTERNS [J].
CARRIE, JRG .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1972, 33 (03) :339-&
[4]  
Chakravarti L., 1967, HDB METHODS APPL STA
[5]  
CHARTRIAN GE, 1974, ELECTROENCEPHALOGR C, V37, P528
[6]   SPIKE DETECTION BASED ON A PATTERN-RECOGNITION APPROACH USING A MICROCOMPUTER [J].
DEOLIVEIRA, PG ;
QUEIROZ, C ;
DASILVA, FL .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1983, 56 (01) :97-103
[7]  
DEOLIVEIRA PHH, 1980, ELECTROEN CLIN NEURO, V48, P710
[8]   Defining epileptogenic foci: Past, present, future [J].
Ebersole, JS .
JOURNAL OF CLINICAL NEUROPHYSIOLOGY, 1997, 14 (06) :470-483
[10]   AUTOMATIC RECOGNITION AND QUANTIFICATION OF INTERICTAL EPILEPTIC ACTIVITY IN HUMAN SCALP EEG [J].
GOTMAN, J ;
GLOOR, P .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1976, 41 (05) :513-529