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Accuracy of electroencephalographic dipole localization of epileptiform activities associated with focal brain lesions
Author(s) -
Krings Timo,
Chiappa Keith H.,
Cuffin B. Neil,
Buchbinder Bradley R.,
Cosgrove G. Rees
Publication year - 1998
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.410440114
Subject(s) - electroencephalography , ictal , lesion , dipole , magnetic resonance imaging , nuclear magnetic resonance , margin (machine learning) , medicine , radiology , neuroscience , physics , psychology , pathology , computer science , quantum mechanics , machine learning
We evaluated the accuracy of an electroencephalographic (EEG) localization technique (dipole inverse solution) in a consecutive series of 12 focal intracerebral lesions of divrse etiologies whose EEGs showed interictal spike activity or rhythmic activity at seizure onset. The calculated equivalent dipole was plotted on three axes in the patients' magnetic resonance image, and the distance between the dipole and the lesion margin was measured assuming that the shell of the lesion constituted an epileptognic region. In all cases the dipole localized closer than 0.8 cm to the nearest lesion margin. In addition, we compared the postsurgical outcome of 6 patients to the dipole localization and the resection margins. In all 6 patients in whom the dipole, and hence the estimated seizure generator, was removed the surgical outcome was favorable. We conclude that the inverse solution algorithm is a promising method for using the scalp EEG to localize the sources of electrical activity in the human brain in routine clinical electroencephalography and provides three‐dimensional data not available from conventional analysis.