• DocumentCode
    2506925
  • 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
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    8271
  • Lastpage
    8274
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6092039
  • Filename
    6092039