Literature DB >> 22227883

A comprehensive reliability assessment of quantitative diffusion tensor tractography.

Jun Yi Wang1, Hervé Abdi, Khamid Bakhadirov, Ramon Diaz-Arrastia, Michael D Devous.   

Abstract

Diffusion tensor tractography is increasingly used to examine structural connectivity in the brain in various conditions, but its test-retest reliability is understudied. The main purposes of this study were to evaluate 1) the reliability of quantitative measurements of diffusion tensor tractography and 2) the effect on reliability of the number of gradient sampling directions and scan repetition. Images were acquired from ten healthy participants. Ten fiber regions of nine major fiber tracts were reconstructed and quantified using six fiber variables. Intra- and inter-session reliabilities were estimated using intraclass correlation coefficient (ICC) and coefficient of variation (CV), and were compared to pinpoint major error sources. Additional pairwise comparisons were made between the reliability of images with 30 directions and NEX 2 (DTI30-2), 30 directions and NEX 1 (DTI30-1), and 15 directions and NEX 2 (DTI15-2) to determine whether increasing gradient directions and scan repetition improved reliability. Of the 60 tractography measurements, 43 showed intersession CV ≤ 10%, ICC ≥ .70, or both for DTI30-2, 40 measurements for DTI30-1, and 37 for DTI15-2. Most of the reliable measurements were associated with the tracts corpus callosum, cingulum, cerebral peduncular fibers, uncinate fasciculus, and arcuate fasciculus. These reliable measurements included factional anisotropy (FA) and mean diffusivity of all 10 fiber regions. Intersession reliability was significantly worse than intra-session reliability for FA, mean length, and tract volume measurements from DTI15-2, indicating that the combination of MRI signal variation and physiological noise/change over time was the major error source for this sequence. Increasing the number of gradient directions from 15 to 30 while controlling the scan time, significantly affected values for all six variables and reduced intersession variability for mean length and tract volume measurements. Additionally, while increasing scan repetition from 1 to 2 had no significant effect on the reliability for DTI with 30 directions, this significantly reduced the upward bias in FA values from all 10 fiber regions and fiber count, mean length, and tract volume measurements from 5 to 7 fiber regions. In conclusion, diffusion tensor tractography provided many measurements with high test-retest reliability across different fiber variables and various fiber tracts even for images with 15 directions (NEX 2). Increasing the number of gradient directions from 15 to 30 with equivalent scan time reduced variability whereas increasing repetition from 1 to 2 for 30-direction DTI improved the accuracy of tractography measurements. Copyright Â
© 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22227883      PMCID: PMC3468740          DOI: 10.1016/j.neuroimage.2011.12.062

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


  43 in total

1.  Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI.

Authors:  S Skare; M Hedehus; M E Moseley; T Q Li
Journal:  J Magn Reson       Date:  2000-12       Impact factor: 2.229

2.  Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain.

Authors:  Adolf Pfefferbaum; Elfar Adalsteinsson; Edith V Sullivan
Journal:  J Magn Reson Imaging       Date:  2003-10       Impact factor: 4.813

3.  Analysis of noise effects on DTI-based tractography using the brute-force and multi-ROI approach.

Authors:  Hao Huang; Jiangyang Zhang; Peter C M van Zijl; Susumu Mori
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

Review 4.  Common fronto-parietal activity in attention, memory, and consciousness: shared demands on integration?

Authors:  Hamid Reza Naghavi; Lars Nyberg
Journal:  Conscious Cogn       Date:  2004-12-08

Review 5.  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

Review 6.  White matter pathways in reading.

Authors:  Michal Ben-Shachar; Robert F Dougherty; Brian A Wandell
Journal:  Curr Opin Neurobiol       Date:  2007-03-26       Impact factor: 6.627

Review 7.  The rises and falls of disconnection syndromes.

Authors:  Marco Catani; Dominic H ffytche
Journal:  Brain       Date:  2005-09-01       Impact factor: 13.501

8.  Between session reproducibility and between subject variability of diffusion MR and tractography measures.

Authors:  E Heiervang; T E J Behrens; C E Mackay; M D Robson; H Johansen-Berg
Journal:  Neuroimage       Date:  2006-09-26       Impact factor: 6.556

9.  Identical, but not the same: intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0T scanners.

Authors:  Christian Vollmar; Jonathan O'Muircheartaigh; Gareth J Barker; Mark R Symms; Pamela Thompson; Veena Kumari; John S Duncan; Mark P Richardson; Matthias J Koepp
Journal:  Neuroimage       Date:  2010-03-23       Impact factor: 6.556

10.  From diffusion tractography to quantitative white matter tract measures: a reproducibility study.

Authors:  O Ciccarelli; G J M Parker; A T Toosy; C A M Wheeler-Kingshott; G J Barker; P A Boulby; D H Miller; A J Thompson
Journal:  Neuroimage       Date:  2003-02       Impact factor: 6.556

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  59 in total

1.  Multicenter reliability of diffusion tensor imaging.

Authors:  Vincent A Magnotta; Joy T Matsui; Dawei Liu; Hans J Johnson; Jeffrey D Long; Bradley D Bolster; Bryon A Mueller; Kelvin Lim; Susumu Mori; Karl G Helmer; Jessica A Turner; Sarah Reading; Mark J Lowe; Elizabeth Aylward; Laura A Flashman; Greg Bonett; Jane S Paulsen
Journal:  Brain Connect       Date:  2012

2.  Reliability of the corticospinal tract and arcuate fasciculus reconstructed with DTI-based tractography: implications for clinical practice.

Authors:  Gert Kristo; Alexander Leemans; Beatrice de Gelder; Mathijs Raemaekers; Geert-Jan Rutten; Nick Ramsey
Journal:  Eur Radiol       Date:  2012-08-07       Impact factor: 5.315

3.  Reproducibility of diffusion tensor imaging in normal subjects: an evaluation of different gradient sampling schemes and registration algorithm.

Authors:  Xin Liu; Yong Yang; Jubao Sun; Gang Yu; Jin Xu; Chen Niu; Hongjun Tian; Pan Lin
Journal:  Neuroradiology       Date:  2014-03-08       Impact factor: 2.804

4.  Longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging.

Authors:  Tara Madhyastha; Susan Mérillat; Sarah Hirsiger; Ladina Bezzola; Franziskus Liem; Thomas Grabowski; Lutz Jäncke
Journal:  Hum Brain Mapp       Date:  2014-04-03       Impact factor: 5.038

5.  Reproducibility of Tract-based and Region-of-Interest DTI Analysis of Long Association Tracts.

Authors:  N Brandstack; T Kurki; J Laalo; T Kauko; O Tenovuo
Journal:  Clin Neuroradiol       Date:  2014-10-05       Impact factor: 3.649

6.  White Matter Changes and Confrontation Naming in Retired Aging National Football League Athletes.

Authors:  Jeremy F Strain; Nyaz Didehbani; Jeffrey Spence; Heather Conover; Elizabeth K Bartz; Sethesh Mansinghani; Myrtle K Jeroudi; Neena K Rao; Lindy M Fields; Michael A Kraut; C Munro Cullum; John Hart; Kyle B Womack
Journal:  J Neurotrauma       Date:  2016-07-06       Impact factor: 5.269

7.  Virtual Connectomic Datasets in Alzheimer's Disease and Aging Using Whole-Brain Network Dynamics Modelling.

Authors:  Lucas Arbabyazd; Kelly Shen; Zheng Wang; Martin Hofmann-Apitius; Petra Ritter; Anthony R McIntosh; Demian Battaglia; Viktor Jirsa
Journal:  eNeuro       Date:  2021-07-06

8.  White matter correlates of different aspects of facial affect recognition impairment following traumatic brain injury.

Authors:  Arianna Rigon; Michelle W Voss; Lyn S Turkstra; Bilge Mutlu; Melissa C Duff
Journal:  Soc Neurosci       Date:  2018-06-28       Impact factor: 2.083

9.  Influence of the fragile X mental retardation (FMR1) gene on the brain and working memory in men with normal FMR1 alleles.

Authors:  Jun Yi Wang; David Hessl; Christine Iwahashi; Katherine Cheung; Andrea Schneider; Randi J Hagerman; Paul J Hagerman; Susan M Rivera
Journal:  Neuroimage       Date:  2012-10-12       Impact factor: 6.556

10.  Q-ball imaging models: comparison between high and low angular resolution diffusion-weighted MRI protocols for investigation of brain white matter integrity.

Authors:  Giuseppina Caiazzo; Francesca Trojsi; Mario Cirillo; Gioacchino Tedeschi; Fabrizio Esposito
Journal:  Neuroradiology       Date:  2015-11-16       Impact factor: 2.804

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