Literature DB >> 19167728

Fractal dimension analysis of grey matter in multiple sclerosis.

Francisco J Esteban1, Jorge Sepulcre, Juan Ruiz de Miras, Juan Navas, Nieves Vélez de Mendizábal, Joaquín Goñi, José M A Quesada, Bartolome Bejarano, Pablo Villoslada.   

Abstract

The fractal dimension (FD) is a quantitative parameter that characterizes the morphometric variability of a complex object. Among other applications, FD has been used to identify abnormalities of the human brain in conventional magnetic resonance imaging (MRI), including white matter abnormalities in patients with Multiple Sclerosis (MS). Extensive grey matter (GM) pathology has been recently identified in MS and it appears to be a key factor in long-term disability. The aim of the present work was to assess whether FD measurement of GM in T1 MRI sequences can identify GM abnormalities in patients with MS in the early phase of the disease. A voxel-based morphometry approach optimized for MS was used to obtain the segmented brain, where we later calculated the three-dimensional FD of the GM in MS patients and healthy controls. We found that patients with MS had a significant increase in the FD of the GM compared to controls. Such differences were present even in patients with short disease durations, including patients with first attacks of MS. In addition, the FD of the GM correlated with T1 and T2 lesion load, but not with GM atrophy or disability. The FD abnormalities of the GM here detected differed from the previously published FD of the white matter in MS, suggesting that different pathological processes were taking place in each structure. These results indicate that GM morphology is abnormal in patients with MS and that this alteration appears early in the course of the disease.

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Year:  2009        PMID: 19167728     DOI: 10.1016/j.jns.2008.12.023

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  22 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.  Cortical complexity as a measure of age-related brain atrophy.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neuroimage       Date:  2016-04-19       Impact factor: 6.556

5.  Exploring cortical predictors of clinical response to electroconvulsive therapy in major depression.

Authors:  Mike M Schmitgen; Katharina M Kubera; Malte S Depping; Henrike M Nolte; Dusan Hirjak; Stefan Hofer; Julia H Hasenkamp; Ulrich Seidl; Bram Stieltjes; Klaus H Maier-Hein; Fabio Sambataro; Alexander Sartorius; Philipp A Thomann; Robert C Wolf
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2019-07-05       Impact factor: 5.270

6.  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

7.  Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study.

Authors:  Anca-Larisa Sandu; Gordon D Waiter; Roger T Staff; Nafeesa Nazlee; Tina Habota; Chris J McNeil; Dorota Chapko; Justin H Williams; Caroline H D Fall; Giriraj R Chandak; Shailesh Pene; Murali Krishna; Andrew M McIntosh; Heather C Whalley; Kalyanaraman Kumaran; Ghattu V Krishnaveni; Alison D Murray
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

8.  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

9.  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

10.  Association of White Matter Hyperintensity Markers on MRI and Long-term Risk of Mortality and Ischemic Stroke: The SMART-MR Study.

Authors:  Rashid Ghaznawi; Mirjam I Geerlings; Myriam Jaarsma-Coes; Jeroen Hendrikse; Jeroen de Bresser
Journal:  Neurology       Date:  2021-03-16       Impact factor: 9.910

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