Literature DB >> 20740072

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

Richard D King1, Anuh T George, Tina Jeon, Linda S Hynan, Teddy S Youn, David N Kennedy, Bradford Dickerson.   

Abstract

The purpose of this project is to apply a modified fractal analysis technique to high-resolution T1 weighted magnetic resonance images in order to quantify the alterations in the shape of the cerebral cortex that occur in patients with Alzheimer's disease. Images were selected from the Alzheimer's Disease Neuroimaging Initiative database (Control N=15, Mild-Moderate AD N=15). The images were segmented using a semi-automated analysis program. Four coronal and three axial profiles of the cerebral cortical ribbon were created. The fractal dimensions (D(f)) of the cortical ribbons were then computed using a box-counting algorithm. The mean D(f) of the cortical ribbons from AD patients were lower than age-matched controls on six of seven profiles. The fractal measure has regional variability which reflects local differences in brain structure. Fractal dimension is complementary to volumetric measures and may assist in identifying disease state or disease progression.

Entities:  

Year:  2009        PMID: 20740072      PMCID: PMC2927230          DOI: 10.1007/s11682-008-9057-9

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  50 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment.

Authors:  C R Jack; R C Petersen; Y C Xu; P C O'Brien; G E Smith; R J Ivnik; B F Boeve; S C Waring; E G Tangalos; E Kokmen
Journal:  Neurology       Date:  1999-04-22       Impact factor: 9.910

3.  Analysis of the hemispheric asymmetry using fractal dimension of a skeletonized cerebral surface.

Authors:  Jong-Min Lee; Uicheul Yoon; Jae-Jin Kim; In Young Kim; Dong Soo Lee; Jun Soo Kwon; Sun I Kim
Journal:  IEEE Trans Biomed Eng       Date:  2004-08       Impact factor: 4.538

4.  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

5.  A robust and accurate algorithm for estimating the complexity of the cortical surface.

Authors:  Jiefeng Jiang; Wanlin Zhu; Feng Shi; Yuanchao Zhang; Lei Lin; Tianzi Jiang
Journal:  J Neurosci Methods       Date:  2008-04-25       Impact factor: 2.390

6.  Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

7.  Selective increase of cortical thickness in high-performing elderly--structural indices of optimal cognitive aging.

Authors:  Anders M Fjell; Kristine B Walhovd; Ivar Reinvang; Arvid Lundervold; David Salat; Brian T Quinn; Bruce Fischl; Anders M Dale
Journal:  Neuroimage       Date:  2005-09-19       Impact factor: 6.556

8.  Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia.

Authors:  An-Tao Du; Norbert Schuff; Joel H Kramer; Howard J Rosen; Maria Luisa Gorno-Tempini; Katherine Rankin; Bruce L Miller; Michael W Weiner
Journal:  Brain       Date:  2007-03-12       Impact factor: 13.501

9.  Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging.

Authors:  Lei Wang; Jeffrey S Swank; Irena E Glick; Mokhtar H Gado; Michael I Miller; John C Morris; John G Csernansky
Journal:  Neuroimage       Date:  2003-10       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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  33 in total

Review 1.  The Alzheimer's disease neuroimaging initiative: progress report and future plans.

Authors:  Michael W Weiner; Paul S Aisen; Clifford R Jack; William J Jagust; John Q Trojanowski; Leslie Shaw; Andrew J Saykin; John C Morris; Nigel Cairns; Laurel A Beckett; Arthur Toga; Robert Green; Sarah Walter; Holly Soares; Peter Snyder; Eric Siemers; William Potter; Patricia E Cole; Mark Schmidt
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 2.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2011-11-02       Impact factor: 21.566

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.  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

5.  Aerobic granules: microbial landscape and architecture, stages, and practical implications.

Authors:  Graciela Gonzalez-Gil; Christof Holliger
Journal:  Appl Environ Microbiol       Date:  2014-03-21       Impact factor: 4.792

6.  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

Review 7.  2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Jesse Cedarbaum; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Johan Luthman; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie Shaw; Li Shen; Adam Schwarz; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2015-06       Impact factor: 21.566

8.  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

Review 9.  A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems.

Authors:  Anastasia Korolj; Hau-Tieng Wu; Milica Radisic
Journal:  Biomaterials       Date:  2019-07-15       Impact factor: 12.479

10.  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

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