TY - JOUR
T1 - The electroencephalogram through a software microscope
T2 - Non-invasive localization and visualization of epileptic seizure activity from inside the brain
AU - Kobayashi, K.
AU - James, C. J.
AU - Yoshinaga, Harumi
AU - Ohtsuka, Y.
AU - Gotman, J.
PY - 2000/1/1
Y1 - 2000/1/1
N2 - Objective: We developed a novel non-invasive analysis to localize the source and visualize the time course of electrical activity generated inside the brain but unclear from the scalp. This analysis applies to signals with unique waveform characteristics, such as seizures. Methods: The method extracts activity from an EEG data matrix as a spatiotemporal component having waveforms uncorrelated to the other concurrent activities. The method also provides the location and orientation of the dipole generating this activity. We applied this method to ten scalp seizures in three patients with temporal lobe epilepsy and single-focus seizures confirmed by intracerebral recordings. A realistic head model based on MRI was used for computation of field distributions. Results: When seizure activity was still not visually identifiable on the scalp, the method demonstrated in all scalp seizures a source in the temporal neocortex corresponding clearly to the region of seizure activity in intracerebral recordings. Frequency characteristics of the estimated activities also resembled those of the intracerebral seizures. Conclusions: This method enables estimation of focal brain activity when its effect on scalp EEG is unclear to visual examination. It works in situations where currently available source analyses methods, which require noiseless definite activity, are not applicable. Copyright (C) 2000 Elsevier Science Ireland Ltd.
AB - Objective: We developed a novel non-invasive analysis to localize the source and visualize the time course of electrical activity generated inside the brain but unclear from the scalp. This analysis applies to signals with unique waveform characteristics, such as seizures. Methods: The method extracts activity from an EEG data matrix as a spatiotemporal component having waveforms uncorrelated to the other concurrent activities. The method also provides the location and orientation of the dipole generating this activity. We applied this method to ten scalp seizures in three patients with temporal lobe epilepsy and single-focus seizures confirmed by intracerebral recordings. A realistic head model based on MRI was used for computation of field distributions. Results: When seizure activity was still not visually identifiable on the scalp, the method demonstrated in all scalp seizures a source in the temporal neocortex corresponding clearly to the region of seizure activity in intracerebral recordings. Frequency characteristics of the estimated activities also resembled those of the intracerebral seizures. Conclusions: This method enables estimation of focal brain activity when its effect on scalp EEG is unclear to visual examination. It works in situations where currently available source analyses methods, which require noiseless definite activity, are not applicable. Copyright (C) 2000 Elsevier Science Ireland Ltd.
KW - Dipole
KW - EEG
KW - Localization-related epilepsy
KW - Non-invasive analysis
KW - Seizure activity
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U2 - 10.1016/S1388-2457(99)00202-3
DO - 10.1016/S1388-2457(99)00202-3
M3 - Article
C2 - 10656522
AN - SCOPUS:0033990280
SN - 1388-2457
VL - 111
SP - 134
EP - 149
JO - Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control
JF - Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control
IS - 1
ER -