Literature DB >> 8922340

Three-dimensional fractal analysis of the white matter surface from magnetic resonance images of the human brain.

S L Free1, S M Sisodiya, M J Cook, D R Fish, S D Shorvon.   

Abstract

The convolutions of the cerebral cortex are difficult to describe and delineate. Our understanding of the development of the brain and its associated maldevelopment would be assisted by quantitative analysis of the cortex. Volumetric magnetic resonance (MR) imaging provides high-resolution anatomical data from which we can reconstruct the white matter as a three-dimensional object and extract its surface (the grey/white matter interface). Three-dimensional fractal analysis of this surface is a method of quantifying the surface complexity dependent upon the variation of the surface area under different scales of inspection. We estimate the fractal dimension of the white matter surface for each hemisphere and 10 coronal blocks of each hemisphere in 30 normal adult subjects. These values are tightly distributed and have been used to define a normal range of fractal dimensions. Abnormal fractal dimensions were found in 8/16 subjects with epilepsy and a gyral abnormality observed on routine MR imaging; and in 9/23 subjects with epilepsy and normal routine MR imaging. These analytical techniques offer additional information about the structure of the cortex in normal brains and about abnormalities of structure in subjects with suspected but unobserved structural abnormalities.

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Year:  1996        PMID: 8922340     DOI: 10.1093/cercor/6.6.830

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  18 in total

1.  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

2.  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

3.  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

4.  Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity.

Authors:  Sun Hyung Kim; Ilwoo Lyu; Vladimir S Fonov; Clement Vachet; Heather C Hazlett; Rachel G Smith; Joseph Piven; Stephen R Dager; Robert C Mckinstry; John R Pruett; Alan C Evans; D Louis Collins; Kelly N Botteron; Robert T Schultz; Guido Gerig; Martin A Styner
Journal:  Neuroimage       Date:  2016-05-03       Impact factor: 6.556

5.  Shape index distribution based local surface complexity applied to the human cortex.

Authors:  Sun Hyung Kim; Vladimir Fonov; D Louis Collins; Guido Gerig; Martin A Styner
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015

6.  Predicting age from cortical structure across the lifespan.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Eur J Neurosci       Date:  2018-02-12       Impact factor: 3.386

7.  Age-related differences in the structural complexity of subcortical and ventricular structures.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neurobiol Aging       Date:  2016-10-27       Impact factor: 4.673

8.  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

9.  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

10.  Fractal dimension in human cerebellum measured by magnetic resonance imaging.

Authors:  Jing Z Liu; Lu D Zhang; Guang H Yue
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

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