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Spatially regularized multifractal analysis for fMRI Data

Ciuciu, Philippe and Wendt, Herwig and Combrexelle, Sébastien and Abry, Patrice Spatially regularized multifractal analysis for fMRI Data. (2017) In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), 11 July 2017 - 15 July 2017 (Jeju, Korea, Republic Of).

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Official URL: https://doi.org/10.1109/EMBC.2017.8037677

Abstract

Scale-free dynamics is nowadays a massively used paradigm to model infraslow macroscopic brain activity. Mul-tifractal analysis is becoming the standard tool to characterize scale-free dynamics. It is commonly used on various modalities of neuroimaging data to evaluate whether arrhythmic fluctuations in ongoing or evoked brain activity are related to patholo-gies (Alzheimer, epilepsy) or task performance. The success of multifractal analysis in neurosciences remains however so far contrasted: While it lead to relevant findings on M/EEG data, less clear impact was shown when applied to fMRI data. This is mostly due to their poor time resolution and very short duration as well as to the fact that analysis remains performed voxelwise. To take advantage of the large amount of voxels recorded jointly in fMRI, the present contribution proposes the use of a recently introduced Bayesian formalism for multifractal analysis, that regularizes the estimation of the multifractality parameter of a given voxel using information from neighbor voxels. The benefits of this regularized multifractal analysis are illustrated by comparison against classical multifractal analysis on fMRI data collected on one subject, at rest and during a working memory task: Though not yet statistically significant, increased multifractality is observed in task-negative and task-positive networks, respectively.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of EMBC 2017. Electronic ISBN: 978-1-5090-2809-2 Electronic ISSN: 1558-4615The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8037677 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Commissariat à l'Energie Atomique et aux énergies alternatives - CEA (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Recherche en Informatique et en Automatique - INRIA (FRANCE)
Other partners > Université Paris-Saclay (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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ANR : Agence nationale de la recherche (France)
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Deposited By: IRIT IRIT
Deposited On:05 Nov 2019 10:51

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