December 2002
Volume 43, Issue 13
ARVO Annual Meeting Abstract  |   December 2002
Independent Spatiotemporal Components in the fMRI BOLD response
Author Affiliations & Notes
  • CW Tyler
    Smith-Kettlewell Eye Research Institute San Francisco CA
  • L Kontsevich
    Smith-Kettlewell Eye Research Institute San Francisco CA
  • H Baseler
    Smith-Kettlewell Eye Research Institute San Francisco CA
  • Footnotes
    Commercial Relationships   C.W. Tyler, None; L. Kontsevich, None; H. Baseler, None. Grant Identification: EY 7890
Investigative Ophthalmology & Visual Science December 2002, Vol.43, 4745. doi:
  • Views
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      CW Tyler, L Kontsevich, H Baseler; Independent Spatiotemporal Components in the fMRI BOLD response . Invest. Ophthalmol. Vis. Sci. 2002;43(13):4745.

      Download citation file:

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

  • Supplements

Abstract: : Purpose:Typical blood-oxygenation-level-dependent (BOLD) responses have a peak time of around 5 sec, implying a slow integration of the underlying neural activity. Methods of extracting multiple temporal components of the response across voxels therefore permit a fine-grain spatial analysis of the fMRI time course. Methods:Observers were stimulated with On/Off random-element stimuli with a 45 sec period. The response time series were recorded in an fMRI experiment conducted at 3T with spiral acquisition throughout the occipital lobe. Significantly-activated voxels were identified on the basis of correlation ≷ 0.5-0.7 with the Fourier fundamental. Independent components were isolated from the response variation over voxels on the basis of deviation from the uniform Gaussian distribution. The time-series was then compared with the input signal convolved with a model BOLD impulse response of an n-pole filter, together with independent early and late negative lobes. The impulse response parameters were optimized separately for best fit to each time-series component. Results:Of the significantly activated voxels (∼1% of the total) at least two independent components could be identified. Correlations of up to 0.8 were obtained with the model BOLD signal with optimized impulse response parameters. The best-fitting impulse responses had peak times from 2-6 sec, different for different components. The impulse responses had pronounced negativities either before or after the peak. These contrasting time-course components predominated in different regions of occipital cortex. Conclusion:The data indicate that some cortical areas exhibit and early negativity before the main response peak, while other cortical areas exhibit a late negativity after the response peak. The early negativity had a peak time as short as 1 sec. Separation of these two negative components provides insight into the temporal processing reflected in the BOLD response. The identification of independent components allows the localization of rapid components in the BOLD signal comparable with the time course of neural signals.

Keywords: 621 visual cortex • 597 texture • 596 temporal vision 

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.