Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.

  title={Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.},
  author={Eric Zarahn and Geoffrey Karl Aguirre and Mark D'Esposito},
  volume={5 3},
Temporal autocorrelation, spatial coherency, and their effects on voxel-wise parametric statistics were examined in BOLD fMRI null-hypothesis, or "noise," datasets. Seventeen normal, young subjects were scanned using BOLD fMRI while not performing any time-locked experimental behavior. Temporal autocorrelation in these datasets was described well by a 1/frequency relationship. Voxel-wise statistical analysis of these noise datasets which assumed independence (i.e., ignored temporal… CONTINUE READING
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Clustered pixels analysis for functional MRI activation studies of the human brain.Hum

  • J. Xiong, J. Gao, J. L. Lancaster, P. T. Fox
  • Brain Map
  • 1995
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Hypercapnia reversibly diminishes low-frequency fluctuations in human motor cortex using EPI

  • B. Biswal, A. G. Hudetz, F. Z. Yetkin, V. M. Haughton, J. S. Hyde
  • Proc. Int. Soc. Magn. Reson. Med. 31:1760…
  • 1996
Highly Influential
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Non-linear temporal aspects of the BOLD response in fMRI

  • A. L. Vasquez, D. C. Noll
  • Proc. Soc. Magn. Reson. Med. 3:1765.
  • 1996
Highly Influential
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Power spectrum analysis of functionally-weighted MR data: What’s in the noise? Proc

  • R. M. Weisskoff, J. Baker, +4 authors B. R. Rosen
  • Soc. Magn. Reson. Med. 1:7. [Abstract]
  • 1993
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