Fractal analysis of resting state functional connectivity of the brain

You, Wonsang and Achard, Sophie and Stadler, Jörg and Brückner, Bernd and Seiffert, Udo (2012) Fractal analysis of resting state functional connectivity of the brain. [Conference Paper]

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A variety of resting state neuroimaging data tend to exhibit fractal behavior where its power spectrum follows power-law scaling. Resting state functional connectivity is significantly influenced by fractal behavior which may not directly originate from neuronal population activities of the brain. To describe the fractal behavior, we adopted the fractionally integrated process (FIP) model instead of the fractional Gaussian noise (FGN) since the FIP model covers more general aspects of fractality than the FGN model. We also introduce a novel concept called the nonfractal connectivity which is defined as the correlation of short memory independent of fractal behavior, and compared it with the fractal connectivity which is an asymptotic wavelet correlation. We propose several wavelet-based estimators of fractal connectivity and nonfractal connectivity for a multivariate fractionally integrated noise (mFIN). The performance of these estimators was evaluated through simulation studies and the analyses of resting state functional MRI data of the rat brain.

Item Type:Conference Paper
Keywords:resting state functional connectivity, fMRI, nonfractal connectivity, fractal, long memory, fractionally integrated process
Subjects:Neuroscience > Biophysics
Neuroscience > Brain Imaging
Neuroscience > Computational Neuroscience
Computer Science > Statistical Models
ID Code:8466
Deposited By: You, Wonsang
Deposited On:09 Nov 2012 19:46
Last Modified:09 Nov 2012 19:46


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