Interplay between functional connectivity and scale-free dynamics in intrinsic fMRI networks

Abstract : Studies employing functional connectivity-type analyses have established that sponta-neous fluctuations in functional magnetic resonance imaging (fMRI) signals are orga-nized within large-scale brain networks. Meanwhile, fMRI signals have been shown to exhibit 1/f-type power spectra – a hallmark of scale-free dynamics. We studied the interplay between functional connectivity and scale-free dynamics in fMRI signals, utilizing the fractal connectivity framework – a multivariate extension of the univari-ate fractional Gaussian noise model, which relies on a wavelet formulation for robust parameter estimation. We applied this framework to fMRI data acquired from healthy young adults at rest and performing a visual detection task. First, we found that scale-invariance existed beyond univariate dynamics, being present also in bivariate cross-temporal dynamics. Second, we observed that frequencies within the scale-free range do not contribute evenly to inter-regional connectivity, with a systematically stronger contribution of the lowest frequencies, both at rest and during task. Third, in addition to a decrease of the Hurst exponent and inter-regional correlations, task performance modified cross-temporal dynamics, inducing a larger contribution of the highest fre-quencies within the scale-free range to global correlation. Lastly, we found that across individuals, a weaker task modulation of the frequency contribution to inter-regional Rev.#1, Q5
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https://hal.inria.fr/hal-01084242
Contributeur : Philippe Ciuciu <>
Soumis le : mardi 18 novembre 2014 - 18:03:38
Dernière modification le : lundi 4 juin 2018 - 15:42:02
Document(s) archivé(s) le : vendredi 14 avril 2017 - 19:15:19

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Philippe Ciuciu, Patrice Abry, Biyu Jade He. Interplay between functional connectivity and scale-free dynamics in intrinsic fMRI networks. NeuroImage, Elsevier, 2014, 95, pp.248 - 263. 〈10.1016/j.neuroimage.2014.03.047〉. 〈hal-01084242〉

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