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Dynamic imaging of ictal rhythmic activity using dense-array EEG.

作者信息

Yang Lin, Wilke Christopher, Brinkmann Benjamin, Worrell Gregory A, He Bin

机构信息

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:8271-4. doi: 10.1109/IEMBS.2011.6092039.

Abstract

Electroencephalogram (EEG) is an important component of the pre-surgical evaluation in the treatment of medically intractable epilepsy. However, clinical EEG uses 19 to 32 electrodes that significantly limits its localization ability. Recent development of dense-array recording techniques has suggested that increased spatial sampling rate improves the accuracy of source localization. In the current study, we proposed a 76-channel EEG system for the long-term monitoring of epilepsy patients, and proposed a dynamic seizure imaging (DSI) technique to image the ictal rhythmic activity that may evolve through time, space and frequency. We tested the system in a cohort of 8 patients and our results show that the DSI estimated the seizure activity in good correlation with intracranial recordings, successful surgery outcomes and other clinical evidence. The proposed dense-array recording and DSI imaging approach enable a non-invasive but quantitative imaging of continuous seizure activity. The results suggest that DSI may potentially be useful to assist the pre-surgical evaluation in patients with intractable epilepsy.

摘要

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