• DocumentCode
    2083130
  • Title

    Development of high resolution, multiplexed electrode arrays: Opportunities and challenges

  • Author

    Viventi, J. ; Blanco, Justin A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Polytech. Inst. of New York Univ., Brooklyn, NY, USA
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    1394
  • Lastpage
    1396
  • Abstract
    More than one third of the world´s 60 million people with epilepsy have seizures that cannot be controlled by medication. Some of these individuals may be candidates for surgical removal of brain regions that generate seizures, but the chance of being seizure free after epilepsy surgery is as low as 35% in many patients [1]. Even when surgery is successful, patients risk neurological deficits like memory loss and speech difficulties. The need for new treatments is clear. A central barrier to better treatments for epilepsy is technological: we do not have devices capable of interfacing with the brain with small enough electrodes over large enough regions to map epileptic networks in sufficient detail to enable treatment. Our collaborative group has developed new implantable brain devices to address this challenge [2]. Our devices, made from flexible silicon nanoribbons, can record from these very small brain regions, with electrodes ½ millimeter apart or less, and can be scaled up to clinically useful sizes, on the order of 64 cm2. They consist of thousands of individually controllable microelectrodes.
  • Keywords
    biomedical electrodes; brain; diseases; microelectrodes; neurophysiology; surgery; brain regions; epilepsy surgery; epileptic networks; flexible silicon nanoribbons; individually controllable microelectrodes; medications; memory loss; multiplexed electrode arrays; patient risk neurological deficits; seizures; speech difficulties; Electrodes; Epilepsy; Humans; Neuroscience; Signal resolution; Spatial resolution; Surgery; Electrodes, Implanted; Electroencephalography; Microelectrodes; Nanotechnology; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346199
  • Filename
    6346199