Title :
Dynamic imaging of ictal rhythmic activity using dense-array EEG
Author :
Yang, Lin ; Wilke, Christopher ; Brinkmann, Benjamin ; Worrell, Gregory A. ; He, Bin
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fDate :
Aug. 30 2011-Sept. 3 2011
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.
Keywords :
array signal processing; biomedical electrodes; biomedical imaging; electroencephalography; medical disorders; medical signal processing; patient monitoring; signal sampling; source separation; surgery; 76-channel EEG system; DSI; DSI imaging approach; clinical EEG; dense-array EEG; dense-array recording; dense-array recording technique; dynamic seizure imaging technique; electrodes; electroencephalogram; epilepsy patient; ictal rhythmic activity; intracranial recordings; long-term monitoring; medically intractable epilepsy treatment; seizure activity; source localization; spatial sampling rate; surgery; Brain modeling; Electrodes; Electroencephalography; Epilepsy; Helium; Imaging; Surgery; Dense-array EEG; Dynamic seizure imaging (DSI); Epilepsy; Pre-surgical planning; Adult; Electrodes; Electroencephalography; Female; Humans; Male; Middle Aged; Scalp; Seizures; Time Factors; Young Adult;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6092039