Literature DB >> 17499522

Fractal dimension and white matter changes in multiple sclerosis.

Francisco J Esteban1, Jorge Sepulcre, Nieves Vélez de Mendizábal, Joaquín Goñi, Juan Navas, Juan Ruiz de Miras, Bartolome Bejarano, Jose C Masdeu, Pablo Villoslada.   

Abstract

The brain white matter (WM) in multiple sclerosis (MS) suffers visible and non-visible (normal-appearing WM (NAWM)) changes in conventional magnetic resonance (MR) images. The fractal dimension (FD) is a quantitative parameter that characterizes the morphometric variability of a complex object. Our aim was to assess the usefulness of FD analysis in the measurement of WM abnormalities in conventional MR images in patients with MS, particularly to detect NAWM changes. First, we took on a voxel-based morphometry approach optimized for MS to obtain the segmented brain. Then, the FD of the whole grey-white matter interface (WM border) and skeletonized WM was calculated in patients with MS and healthy controls. To assess the FD of the NAWM, we focused our analysis on single sections without lesions at the centrum semiovale level. We found that patients with MS had a significant decrease in the FD of the entire brain WM compared with healthy controls. Such a decrease of the FD was detected not only on MR image sections with MS lesions but also on single sections with NAWM. Taken together, the results showed that FD identifies changes in the brain of patients with MS, including in NAWM, even at an early phase of the disease. Thus, FD might become a useful marker of diffuse damage of the central nervous system in MS.

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Year:  2007        PMID: 17499522     DOI: 10.1016/j.neuroimage.2007.03.057

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  21 in total

1.  Robust estimation of fractal measures for characterizing the structural complexity of the human brain: optimization and reproducibility.

Authors:  Joaquín Goñi; Olaf Sporns; Hu Cheng; Maite Aznárez-Sanado; Yang Wang; Santiago Josa; Gonzalo Arrondo; Vincent P Mathews; Tom A Hummer; William G Kronenberger; Andrea Avena-Koenigsberger; Andrew J Saykin; María A Pastor
Journal:  Neuroimage       Date:  2013-07-03       Impact factor: 6.556

2.  Evaluation of the 3D fractal dimension as a marker of structural brain complexity in multiple-acquisition MRI.

Authors:  Stephan Krohn; Martijn Froeling; Alexander Leemans; Dirk Ostwald; Pablo Villoslada; Carsten Finke; Francisco J Esteban
Journal:  Hum Brain Mapp       Date:  2019-05-15       Impact factor: 5.038

3.  3D structural complexity analysis of cerebellum in Chiari malformation type I.

Authors:  Engin Akar; Sadık Kara; Hidayet Akdemir; Adem Kırış
Journal:  Med Biol Eng Comput       Date:  2017-06-07       Impact factor: 2.602

4.  Fractal dimension analysis of the cortical ribbon in mild Alzheimer's disease.

Authors:  Richard D King; Brandon Brown; Michael Hwang; Tina Jeon; Anuh T George
Journal:  Neuroimage       Date:  2010-06-25       Impact factor: 6.556

5.  Longitudinal Effects of Combination Antiretroviral Therapy on Cognition and Neuroimaging Biomarkers in Treatment-Naive People With HIV.

Authors:  Miriam T Weber; Alan Finkelstein; Md Nasir Uddin; Elizabeth Asiago Reddy; Roberto C Arduino; Lu Wang; Madalina E Tivarus; Jianhui Zhong; Xing Qiu; Giovanni Schifitto
Journal:  Neurology       Date:  2022-06-22       Impact factor: 11.800

6.  Complexity analysis of cortical surface detects changes in future Alzheimer's disease converters.

Authors:  Juan Ruiz de Miras; Víctor Costumero; Vicente Belloch; Joaquín Escudero; César Ávila; Jorge Sepulcre
Journal:  Hum Brain Mapp       Date:  2017-08-30       Impact factor: 5.038

7.  Characterization of Atrophic Changes in the Cerebral Cortex Using Fractal Dimensional Analysis.

Authors:  Richard D King; Anuh T George; Tina Jeon; Linda S Hynan; Teddy S Youn; David N Kennedy; Bradford Dickerson
Journal:  Brain Imaging Behav       Date:  2009-06       Impact factor: 3.978

8.  Fractal dimension assessment of brain white matter structural complexity post stroke in relation to upper-extremity motor function.

Authors:  Luduan Zhang; Andrew J Butler; Chang-Kai Sun; Vinod Sahgal; George F Wittenberg; Guang H Yue
Journal:  Brain Res       Date:  2008-06-11       Impact factor: 3.252

9.  Computational classifiers for predicting the short-term course of Multiple sclerosis.

Authors:  Bartolome Bejarano; Mariangela Bianco; Dolores Gonzalez-Moron; Jorge Sepulcre; Joaquin Goñi; Juan Arcocha; Oscar Soto; Ubaldo Del Carro; Giancarlo Comi; Letizia Leocani; Pablo Villoslada
Journal:  BMC Neurol       Date:  2011-06-07       Impact factor: 2.474

10.  Fractal dimension and vessel complexity in patients with cerebral arteriovenous malformations.

Authors:  Gernot Reishofer; Karl Koschutnig; Christian Enzinger; Franz Ebner; Helmut Ahammer
Journal:  PLoS One       Date:  2012-07-18       Impact factor: 3.240

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