Literature DB >> 19900564

Probabilistic tractography of the optic radiations--an automated method and anatomical validation.

P L Clatworthy1, G B Williams, J Acosta-Cabronero, S P Jones, S G Harding, H Johansen-Berg, J-C Baron.   

Abstract

Accurately tracing the optic radiations in living humans has important implications for studying the relationship between tract structure or integrity and visual function, in health and disease. Probabilistic tractography is an established method for tracing white matter tracts in humans. Prior studies have used this method to trace the optic radiations, but operator-dependent factors, particularly variability in seed voxel placement and choice of connectivity threshold to select between tract and non-tract voxels, remain potential causes of significant variability. Methods using prior information to modify tract images risk introducing error by underestimating individual variability, particularly in subjects with abnormal anatomy. Finally, existing methods lack thorough validation against a histological standard, causing difficulty in evaluating individual methods, and quantitatively comparing methods. Here we describe a method for producing binary optic radiation images using an existing, well-validated tractography method. All stages are automated, including mask image generation, and thresholds are objectively selected by comparing tract images with existing probabilistic histological data in stereotaxic space. Data from two subject groups are presented; the first used to derive analysis parameters, and the second to test these parameters in an independent sample. Validation utilised a novel variant of receiver operating characteristic analysis, providing both justification for this method and a metric by which tractography methods might be compared generally. The resulting tracts match the histological data well; images generated in individuals matched the histological group data about as well as did images derived in individuals from that histological data set, with a low false positive rate. Copyright (c) 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19900564     DOI: 10.1016/j.neuroimage.2009.10.083

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


  20 in total

Review 1.  Challenges of the anatomy and diffusion tensor tractography of the Meyer loop.

Authors:  S A Mandelstam
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-15       Impact factor: 3.825

2.  Distinguishing and quantification of the human visual pathways using high-spatial-resolution diffusion tensor tractography.

Authors:  Arash Kamali; Khader M Hasan; Pavani Adapa; Azadeh Razmandi; Zafer Keser; John Lincoln; Larry A Kramer
Journal:  Magn Reson Imaging       Date:  2014-04-13       Impact factor: 2.546

3.  A Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI.

Authors:  Derek B Archer; David E Vaillancourt; Stephen A Coombes
Journal:  Cereb Cortex       Date:  2018-05-01       Impact factor: 5.357

4.  Automated diffusion tensor tractography: implementation and comparison to user-driven tractography.

Authors:  Paolo G P Nucifora; Xiaoying Wu; Elias R Melhem; Raquel E Gur; Ruben C Gur; Ragini Verma
Journal:  Acad Radiol       Date:  2012-02-18       Impact factor: 3.173

5.  Detection of synchronous brain activity in white matter tracts at rest and under functional loading.

Authors:  Zhaohua Ding; Yali Huang; Stephen K Bailey; Yurui Gao; Laurie E Cutting; Baxter P Rogers; Allen T Newton; John C Gore
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-27       Impact factor: 11.205

6.  Active delineation of Meyer's loop using oriented priors through MAGNEtic tractography (MAGNET).

Authors:  Maxime Chamberland; Benoit Scherrer; Sanjay P Prabhu; Joseph Madsen; David Fortin; Kevin Whittingstall; Maxime Descoteaux; Simon K Warfield
Journal:  Hum Brain Mapp       Date:  2016-09-20       Impact factor: 5.038

7.  Mapping remodeling of thalamocortical projections in the living reeler mouse brain by diffusion tractography.

Authors:  Laura-Adela Harsan; Csaba Dávid; Marco Reisert; Susanne Schnell; Jürgen Hennig; Dominik von Elverfeldt; Jochen F Staiger
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-22       Impact factor: 11.205

8.  Automated retinofugal visual pathway reconstruction with multi-shell HARDI and FOD-based analysis.

Authors:  Alexandra Kammen; Meng Law; Bosco S Tjan; Arthur W Toga; Yonggang Shi
Journal:  Neuroimage       Date:  2015-11-06       Impact factor: 6.556

9.  Diffusion tensor imaging tractography of the optic radiation for epilepsy surgical planning: a comparison of two methods.

Authors:  Gavin P Winston; Laura Mancini; Jason Stretton; Jonathan Ashmore; Mark R Symms; John S Duncan; Tarek A Yousry
Journal:  Epilepsy Res       Date:  2011-09-01       Impact factor: 3.045

10.  Tract specific reproducibility of tractography based morphology and diffusion metrics.

Authors:  René M H Besseling; Jacobus F A Jansen; Geke M Overvliet; Maarten J Vaessen; Hilde M H Braakman; Paul A M Hofman; Albert P Aldenkamp; Walter H Backes
Journal:  PLoS One       Date:  2012-04-02       Impact factor: 3.240

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