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Updated: Aug 19, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Abstract:
We extend a previous bispectrum analysis of the cosmic microwave background temperature anisotropy, allowing for the presence of correlations between different angular scales. We find a strong non-Gaussian signal in the "interscale" components of the bispectrum: their observed values concentrate close to zero instead of displaying the scatter expected from Gaussian maps. This signal is present over the range of multipoles l = 6-18, in contrast with previous detections. We attempt to attribute this effect to galactic foreground contamination, pixelization effects, possible anomalies in the noise, documented systematic errors studied by the COBE team, and the effect of assumptions used in our Monte Carlo simulations. Within this class of systematic errors, the confidence level for rejecting Gaussianity varies between 97% and 99.8%.
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