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Biological Cybernetics

, Volume 90, Issue 5, pp 318–326 | Cite as

Is partial coherence a viable technique for identifying generators of neural oscillations?

  • Zimbul Albo
  • Gonzalo Viana Di Prisco
  • Yonghong Chen
  • Govindan Rangarajan
  • Wilson Truccolo
  • Jianfeng Feng
  • Robert P. Vertes
  • Mingzhou DingEmail author
Article

Abstract.

Partial coherence measures the linear relationship between two signals after the influence of a third signal has been removed. Gersch proposed in 1970 that partial coherence could be used to identify sources of driving for multivariate time series. This idea, referred to in this paper as Gersch Causality, has received wide acceptance and has been applied extensively to a variety of fields in the signal processing community. Neurobiological data from a given sensor include both the signals of interest and other unrelated processes collectively referred to as measurement noise. We show that partial-coherence-based Gersch Causality is extremely sensitive to signal-to-noise ratio; that is, for a group of three or more simultaneously recorded time series, the time series with the highest signal-to-noise ratio (i.e., relatively noise free) is often identified as the “driver” of the group, irrespective of the true underlying patterns of connectivity. This hypothesis is tested both theoretically and on experimental time series acquired from limbic brain structures during the theta rhythm.

Keywords

Time Series Brain Structure Measurement Noise Experimental Time Processing Community 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Zimbul Albo
    • 1
  • Gonzalo Viana Di Prisco
    • 1
  • Yonghong Chen
    • 2
  • Govindan Rangarajan
    • 3
  • Wilson Truccolo
    • 4
  • Jianfeng Feng
    • 5
  • Robert P. Vertes
    • 6
  • Mingzhou Ding
    • 6
    Email author
  1. 1.Center for Complex Systems and Brain SciencesFlorida Atlantic UniversityBoca RatonUSA
  2. 2.Department of NeurologyUniversity of Miami School of MedicineMiamiUSA
  3. 3.On leave from Xi’an Jiaotong UniversityXi’anP.R. China
  4. 4.Department of Mathematics and Centre for Theoretical StudiesIndian Institute of ScienceBangaloreIndia
  5. 5.Department of NeuroscienceBrown UniversityProvidenceUSA
  6. 6.COGSUniversity of SussexBrightonUK

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