• DocumentCode
    1139945
  • Title

    Single Evoked Somatosensory MEG Responses Extracted by Time Delayed Decorrelation

  • Author

    Sander, Tilmann H. ; Burghoff, Martin ; Curio, Gabriel ; Trahms, Lutz

  • Author_Institution
    Phys. Tech. Bundesanstalt, Berlin, Germany
  • Volume
    53
  • Issue
    9
  • fYear
    2005
  • Firstpage
    3384
  • Lastpage
    3392
  • Abstract
    Measurable magnetoencephalographic responses of the cortex due to an electrical stimulus at the wrist start 20 ms after the stimulus. This early magnetic response is known as the N20m, which can be seen by averaging over hundreds of stimulation epochs. Applying Independent Component Analysis (ICA) based on time-delayed decorrelation to such data allows the extraction of the single responses starting 20 ms after the stimulus without the need for averaging. One of the independent components has a field pattern that is very similar to the N20m. Using this independent component, it is found that the response at 20 ms is stable over a measurement session lasting 4000 s and containing 12 000 stimulations, whereas later responses show highly significant changes over time. To suppress slower activity and noise in the data, a high pass of 55 Hz is applied to the data. One of the subsequently calculated independent components shows that the response at 20 ms is much clearer than before filtering. Analyzing the amplitude distribution of this response yields that 97% of the stimulations have a measurable response above base line level, whereas for conventional methods such as projection and notch filtering, only 91% of the responses are detectable. The high degree of measurable responses indicates the signal separation power of independent component analysis, and it supports the hypothesis that the early stages of sensory cortical processing can be described as a linear processing chain with small variability, at least from a macroscopic point of view.
  • Keywords
    decorrelation; delays; filtering theory; high-pass filters; independent component analysis; magnetoencephalography; medical signal processing; notch filters; somatosensory phenomena; source separation; independent component analysis; linear processing; magnetoencephalographic response; medianus stimulation; notch filtering; sensory cortical processing; signal separation; somatosensory MEG response; temporal decorrelation; time delayed decorrelation; Data mining; Decorrelation; Delay effects; Electric variables measurement; Filtering; Independent component analysis; Magnetic field measurement; Magnetic separation; Time measurement; Wrist; Independent component analysis; magnetoencephalography; medianus stimulation; somatosensory evoked fields; temporal decorrelation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2005.853156
  • Filename
    1495876