Literature DB >> 26518977

Whole brain fiber-based comparison (FBC)-A tool for diffusion tensor imaging-based cohort studies.

Gali Zimmerman-Moreno1, Dafna Ben Bashat2,3, Moran Artzi2,3, Beatrice Nefussy4, Vivian Drory3,4, Orna Aizenstein2, Hayit Greenspan1.   

Abstract

We present a novel method for fiber-based comparison of diffusion tensor imaging (DTI) scans of groups of subjects. The method entails initial preprocessing and fiber reconstruction by tractography of each brain in its native coordinate system. Several diffusion parameters are sampled along each fiber and used in subsequent comparisons. A spatial correspondence between subjects is established based on geometric similarity between fibers in a template set (several choices for template are explored), and fibers in all other subjects. Diffusion parameters between groups are compared statistically for each template fiber. Results are presented at single fiber resolution. As an initial exploratory step in neurological population studies this method points to the locations affected by the pathology of interest, without requiring a hypothesis. It does not make any grouping assumptions on the fibers and no manual intervention is needed. The framework was applied here to 18 healthy subjects and 23 amyotrophic lateral sclerosis (ALS) patients. The results are compatible with previous findings and with the tract based spatial statistics (TBSS) method. Hum Brain Mapp 37:477-490, 2016.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  ALS; DTI; axial diffusivity; fractional anisotropy; mean diffusivity; radial diffusivity; tractogram; white matter fibers; whole brain tractography

Mesh:

Year:  2015        PMID: 26518977      PMCID: PMC6867303          DOI: 10.1002/hbm.23043

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  23 in total

1.  Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas.

Authors:  P Guevara; D Duclap; C Poupon; L Marrakchi-Kacem; P Fillard; D Le Bihan; M Leboyer; J Houenou; J-F Mangin
Journal:  Neuroimage       Date:  2012-03-05       Impact factor: 6.556

2.  Diffusion tensor tract-specific analysis of the uncinate fasciculus in patients with amyotrophic lateral sclerosis.

Authors:  Kanako Sato; Shigeki Aoki; Nobue K Iwata; Yoshitaka Masutani; Takeyuki Watadani; Yasuhiro Nakata; Mariko Yoshida; Yasuo Terao; Osamu Abe; Kuni Ohtomo; Shoji Tsuji
Journal:  Neuroradiology       Date:  2010-02-20       Impact factor: 2.804

Review 3.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging.

Authors:  S Mori; B J Crain; V P Chacko; P C van Zijl
Journal:  Ann Neurol       Date:  1999-02       Impact factor: 10.422

5.  Hand and sex differences in the isthmus and genu of the human corpus callosum. A postmortem morphological study.

Authors:  S F Witelson
Journal:  Brain       Date:  1989-06       Impact factor: 13.501

6.  Assessment of white matter tract damage in patients with amyotrophic lateral sclerosis: a diffusion tensor MR imaging tractography study.

Authors:  F Agosta; E Pagani; M Petrolini; D Caputo; M Perini; A Prelle; F Salvi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-15       Impact factor: 3.825

Review 7.  Amyotrophic lateral sclerosis.

Authors:  Matthew C Kiernan; Steve Vucic; Benjamin C Cheah; Martin R Turner; Andrew Eisen; Orla Hardiman; James R Burrell; Margaret C Zoing
Journal:  Lancet       Date:  2011-02-04       Impact factor: 79.321

8.  Group analysis of DTI fiber tract statistics with application to neurodevelopment.

Authors:  Casey B Goodlett; P Thomas Fletcher; John H Gilmore; Guido Gerig
Journal:  Neuroimage       Date:  2008-11-14       Impact factor: 6.556

9.  Intersubject variability in the analysis of diffusion tensor images at the group level: fractional anisotropy mapping and fiber tracking techniques.

Authors:  Hans-Peter Müller; Alexander Unrath; Axel Riecker; Elmar H Pinkhardt; Albert C Ludolph; Jan Kassubek
Journal:  Magn Reson Imaging       Date:  2008-08-12       Impact factor: 2.546

10.  Tract profiles of white matter properties: automating fiber-tract quantification.

Authors:  Jason D Yeatman; Robert F Dougherty; Nathaniel J Myall; Brian A Wandell; Heidi M Feldman
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

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  2 in total

1.  Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis.

Authors:  Fan Zhang; Weining Wu; Lipeng Ning; Gloria McAnulty; Deborah Waber; Borjan Gagoski; Kiera Sarill; Hesham M Hamoda; Yang Song; Weidong Cai; Yogesh Rathi; Lauren J O'Donnell
Journal:  Neuroimage       Date:  2018-01-11       Impact factor: 6.556

2.  Disease aggressiveness signatures of amyotrophic lateral sclerosis in white matter tracts revealed by the D50 disease progression model.

Authors:  Robert Steinbach; Nayana Gaur; Annekathrin Roediger; Thomas E Mayer; Otto W Witte; Tino Prell; Julian Grosskreutz
Journal:  Hum Brain Mapp       Date:  2020-10-26       Impact factor: 5.038

  2 in total

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