• DocumentCode
    3184069
  • Title

    The accuracy and precision of signal source localization with tetrodes

  • Author

    Chang Won Lee ; Szymanska, Agnieszka A. ; Ikegaya, Yuji ; Nenadic, Zoran

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of California, Irvine, Irvine, CA, USA
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    531
  • Lastpage
    534
  • Abstract
    Four-sensor microelectrodes, commonly referred to as tetrodes, have the ability to significantly increase the signal-to-noise ratio of neuronal extracellular recordings. They also provide spatio-temporal information about extracellular action potentials (EAP) which may be used to localize and resolve individual neuronal signal sources. Since the relative position of sensors and neurons whose EAPs are recorded is not known during in vivo experiments, the accuracy and precision of neuronal source localization algorithms remain untested. In this study, electrical signals generated by a stimulator were recorded simultaneously with four recording micropipettes immersed in artificial cerebrospinal fluid. The location of the source was estimated using the multiple signal classification algorithm, with an accuracy and precision of ~4 μm and ~7 μm, respectively. These results suggest that in vivo localization and resolution of individual neuronal sources is feasible.
  • Keywords
    bioelectric potentials; biomedical electrodes; cellular biophysics; medical signal processing; microelectrodes; neurophysiology; sensors; signal classification; tetrodes; EAP; artificial cerebrospinal fluid; electrical signals; extracellular action potentials; four-sensor microelectrodes; in vivo localization; micropipettes; multiple signal classification algorithm; neuronal extracellular recordings; neuronal signal sources; neuronal source localization algorithms; signal source localization; signal-to-noise ratio; spatiotemporal information; tetrodes; Accuracy; Educational institutions; Electrodes; Extracellular; Neurons; Position measurement; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609554
  • Filename
    6609554