Literature DB >> 14642486

Is the brain cortex a fractal?

Valerij G Kiselev1, Klaus R Hahn, Dorothee P Auer.   

Abstract

The notion of fractal has been largely used to describe geometrical properties of complex objects in biology and medicine. In the present study the question is addressed whether the human cerebral cortex is self-similar in a statistical sense, which is commonly referred to as being a fractal. A new calculational method is presented, which is volumetric and based on the fast Fourier transform (FFT) of segmented three-dimensional high-resolution magnetic resonance images. The analysis covers a wide range of spatial scales from the size of the whole cortex to the ultimate pixel size. Results obtained in six subjects confirm the fractal nature of the human cerebral cortex down to a spatial scale of 3 mm. The obtained fractal dimension is D = 2.80 +/- 0.05, which is in reasonable agreement with previously reported results. Deployment of FFT enables a simple interpretation of the results and yields a high performance, which is necessary to analyze the entire cortex. Thus the FFT-based analysis of segmented MR images offers a comprehensive approach to study neurodevelopmental and neurodegenerative changes in the fractal geometry of the cerebral cortex.

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Year:  2003        PMID: 14642486     DOI: 10.1016/s1053-8119(03)00380-x

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


  29 in total

1.  Temporal scaling characteristics of diffusion as a new MRI contrast: findings in rat hippocampus.

Authors:  Evren Özarslan; Timothy M Shepherd; Cheng Guan Koay; Stephen J Blackband; Peter J Basser
Journal:  Neuroimage       Date:  2012-01-26       Impact factor: 6.556

2.  Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area.

Authors:  Kiho Im; Jong-Min Lee; Uicheul Yoon; Yong-Wook Shin; Soon Beom Hong; In Young Kim; Jun Soo Kwon; Sun I Kim
Journal:  Hum Brain Mapp       Date:  2006-12       Impact factor: 5.038

3.  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

4.  Anomalous single-subject based morphological cortical networks in drug-naive, first-episode major depressive disorder.

Authors:  Taolin Chen; Keith M Kendrick; Jinhui Wang; Min Wu; Kaiming Li; Xiaoqi Huang; Yuejia Luo; Su Lui; John A Sweeney; Qiyong Gong
Journal:  Hum Brain Mapp       Date:  2017-02-08       Impact factor: 5.038

Review 5.  Motion artifacts in MRI: A complex problem with many partial solutions.

Authors:  Maxim Zaitsev; Julian Maclaren; Michael Herbst
Journal:  J Magn Reson Imaging       Date:  2015-01-28       Impact factor: 4.813

6.  Complexity of low-frequency blood oxygen level-dependent fluctuations covaries with local connectivity.

Authors:  Jeffrey S Anderson; Brandon A Zielinski; Jared A Nielsen; Michael A Ferguson
Journal:  Hum Brain Mapp       Date:  2013-02-18       Impact factor: 5.038

7.  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

8.  The association of grey matter volume and cortical complexity with individual differences in children's arithmetic fluency.

Authors:  Brecht Polspoel; Maaike Vandermosten; Bert De Smedt
Journal:  Neuropsychologia       Date:  2019-12-03       Impact factor: 3.139

9.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

10.  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

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