Haemodynamic activity characterization of resting state networks by fractal analysis and thalamocortical morphofunctional integrity in chronic migraine

Haemodynamic activity characterization of resting state networks by fractal analysis and thalamocortical morphofunctional integrity in chronic migraine

Abstract Background Chronic migraine (CM) can be associated with aberrant long-range connectivity of MRI-derived resting-state networks (RSNs). Here, we investigated how the fractal dimension (FD) of blood oxygenation level dependent (BOLD) activity may be used to estimate the complexity of RSNs, re...

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Bibliographic Details
Main Authors: Camillo Porcaro, Antonio Di Renzo, Emanuele Tinelli, Giorgio Di Lorenzo, Vincenzo Parisi, Francesca Caramia, Marco Fiorelli, Vittorio Di Piero, Francesco Pierelli, Gianluca Coppola
Format: Article
Language:English
Published: BMC 2020-09-01
Series:The Journal of Headache and Pain
Subjects:
Resting state networks (RSN)
Functional magnetic resonance imaging (fMRI)
Diffusion tensor imaging (DTI)
Fractal analysis (FA)
Higuchi’s fractal dimension (FD)
Migraine and chronic
Online Access:http://link.springer.com/article/10.1186/s10194-020-01181-8

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http://link.springer.com/article/10.1186/s10194-020-01181-8

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