NDLI: Multifractal analysis of Resting State Networks in functional MRI

Content Provider	IEEE Xplore Digital Library
Author	Ciuciu, P. Varoquaux, G. Abry, P. Almog, M.
Copyright Year	2011
Description	Author affiliation: LNAO/NeuroSpin, CEA Saclay, Bat. 145, 91191 Gif-sur-Yvette, cedex France (Ciuciu, P.; Almog, M.) \|\| INSERM U992 and INRIA Saclay Parietal project, NeuroSpin, 91191 Gif-sur-Yvette, cedex France (Varoquaux, G.) \|\| CNRS, UMR 5672, Laboratoire de Physique. ENS Lyon, France (Abry, P.)
Abstract	It has been know for at least one decade [1] that functional MRI time series display long-memory properties, such as power-law scaling in the frequency spectrum. Concomitantly, multivariate model-free analysis of spatial patterns, such as spatial Independent Component Analysis (sICA) [2], has been successfully used to segment from spontaneous activity Resting-State Networks (RSN) that correspond to known brain function. As recent neuroscientific studies suggest a link between spectral properties of brain activity and cognitive processes [3], a burning question emerges: can temporal scaling properties offer new markers of brain states encoded in these large scale networks? In this paper, we combine two recent methodologies: group-level canonical ICA for multi-subject segmentation of brain network, and wavelet leader-based multifractal formalism for the analysis of RSN scaling properties. We identify the brain networks that elicit self-similarity or multifractality and explore which spectral properties correspond specifically to known functionally-relevant processes in spontaneous activity.
Starting Page	473
Ending Page	478
File Size	850845
Page Count	6
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872448
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fractals Time series analysis Noise Wavelet analysis Lead Estimation Brain fMRI spatial ICA multifractality scaling resting state
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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