Multifractal Analysis in Neuroimaging

Lopes, Renaud

Document type :

Partie d'ouvrage: Chapitre

DOI :

10.1007/978-3-031-47606-8_4

PMID :

38468028

Permalink :

http://hdl.handle.net/20.500.12210/110962

Title :

Multifractal Analysis in Neuroimaging

Author(s) :

Lopes, Renaud [Auteur]

Service Imagerie, Médecine nucléaire et Explorations fonctionnelles [Lille]
Lille Neurosciences & Cognition (LilNCog) - U 1172

Scientific editor(s) :

Di Ieva, Antonio

Book title :

The Fractal Geometry of the Brain

Pages :

79-93

Publisher :

Springer

Publication date :

2024-03-10

ISBN :

978-3-031-47605-1

ISSN :

2190-5215

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

The characteristics of biomedical signals are not captured by conventional measures like the average amplitude of the signal. The methodologies derived from fractal geometry have been a very useful approach to study the ...
Show more >The characteristics of biomedical signals are not captured by conventional measures like the average amplitude of the signal. The methodologies derived from fractal geometry have been a very useful approach to study the degree of irregularity of a signal. The monofractal analysis of a signal is defined by a single power-law exponent in assuming a scale invariance in time and space. However, temporal and spatial variation in the scale-invariant structure of the biomedical signal often appears. In this case, multifractal analysis is well-suited because it is defined by a multifractal spectrum of power-law exponents. There are several approaches to the implementation of this analysis, and there are numerous ways to present these. In this chapter, we review the use of multifractal analysis for the purpose of characterizing signals in neuroimaging. After describing the tenets of multifractal analysis, we present several approaches to estimating the multifractal spectrum. Finally, we describe the applications of this spectrum on biomedical signals in the characterization of several diseases in neurosciences.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

Lille Neurosciences & Cognition (LilNCog) - U 1172

Research team(s) :

Troubles cognitifs dégénératifs et vasculaires

Submission date :

2024-03-15T22:00:57Z
2025-02-21T15:25:01Z

Version	Link	Modification date
2	20.500.12210/110962*	2025-02-21T15:14:04Z
1	20.500.12210/110962.1	2024-03-15T22:00:57Z

Multifractal Analysis in Neuroimaging

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Multifractal Analysis in Neuroimaging

BibTeX

CSV

Excel

RIS