September 2005
Volume 5, Issue 8
Free
Vision Sciences Society Annual Meeting Abstract  |   September 2005
Nonlinear dynamical characterization of magnocellular neural population response variability
Author Affiliations
  • Elmar T. Schmeisser
    Duke University Eye Center, Durham, NC
  • Robin R. Vann
    Duke University Eye Center, Durham, NC
  • Adrienne J. Williams
    Duke University Eye Center, Durham, NC
Journal of Vision September 2005, Vol.5, 433. doi:10.1167/5.8.433
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Elmar T. Schmeisser, Robin R. Vann, Adrienne J. Williams; Nonlinear dynamical characterization of magnocellular neural population response variability. Journal of Vision 2005;5(8):433. doi: 10.1167/5.8.433.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: To apply the methods of non-linear dynamical systems analysis (chaos analysis) to neuronal population response variability, using the Visual Evoked Potential (VEP) in glaucoma as a test case for magnocellular function. Methods: 30 s single sweep VEPs in response to 30.3 Hz full field luminance flicker were recorded from 18 volunteers. The volunteers were normal controls, confirmed glaucoma patients, or patients clinically deemed at risk for glaucoma. Power spectral densities (PSD) and fractal dimensions (e.g. D2 via the Grassberger-Procaccia algorithm) were calculated from the data. Results: Normal subjects demonstrated 1/fx (1.4 2 2. Ocular hypertensive patients were partitioned by the results and are being followed for progression. Conclusions: Glaucomatous damage seems to remove the informational content of fast luminance flicker VEP amplitude variability resulting in random amplitude variations rather than well defined, albeit nonlinear chaotic patterns. This may allow an additional diagnostic index more sensitive than the current triumvirate of fields, cups and pressures as well as pointing the way to more sensitive measures for other neural populations.

Schmeisser, E. T. Vann, R. R. Williams, A. J. (2005). Nonlinear dynamical characterization of magnocellular neural population response variability [Abstract]. Journal of Vision, 5(8):433, 433a, http://journalofvision.org/5/8/433/, doi:10.1167/5.8.433. [CrossRef]
Footnotes
 Army Research Office grant # DAAG55-98-D-0002
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×