Literature DB >> 28945294

Diffusion MRI fiber tractography of the brain.

Ben Jeurissen1, Maxime Descoteaux2,3, Susumu Mori4,5, Alexander Leemans6.   

Abstract

The ability of fiber tractography to delineate non-invasively the white matter fiber pathways of the brain raises possibilities for clinical applications and offers enormous potential for neuroscience. In the last decade, fiber tracking has become the method of choice to investigate quantitative MRI parameters in specific bundles of white matter. For neurosurgeons, it is quickly becoming an invaluable tool for the planning of surgery, allowing for visualization and localization of important white matter pathways before and even during surgery. Fiber tracking has also claimed a central role in the field of "connectomics," a technique that builds and studies comprehensive maps of the complex network of connections within the brain, and to which significant resources have been allocated worldwide. Despite its unique abilities and exciting applications, fiber tracking is not without controversy, in particular when it comes to its interpretation. As neuroscientists are eager to study the brain's connectivity, the quantification of tractography-derived "connection strengths" between distant brain regions is becoming increasingly popular. However, this practice is often frowned upon by fiber-tracking experts. In light of this controversy, this paper provides an overview of the key concepts of tractography, the technical considerations at play, and the different types of tractography algorithm, as well as the common misconceptions and mistakes that surround them. We also highlight the ongoing challenges related to fiber tracking. While recent methodological developments have vastly increased the biological accuracy of fiber tractograms, one should be aware that, even with state-of-the-art techniques, many issues that severely bias the resulting structural "connectomes" remain unresolved.
Copyright © 2017 John Wiley & Sons, Ltd.

Keywords:  brain; connectivity; diffusion MRI; fiber tracking; global; probabilistic; quantification; white matter

Mesh:

Year:  2017        PMID: 28945294     DOI: 10.1002/nbm.3785

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  86 in total

1.  Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain.

Authors:  Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Vaibhav Janve; Bennett A Landman; Adam W Anderson
Journal:  Magn Reson Imaging       Date:  2018-09-10       Impact factor: 2.546

Review 2.  Advances in computational and statistical diffusion MRI.

Authors:  Lauren J O'Donnell; Alessandro Daducci; Demian Wassermann; Christophe Lenglet
Journal:  NMR Biomed       Date:  2017-11-14       Impact factor: 4.044

3.  Proprioception and motor performance after stroke: An examination of diffusion properties in sensory and motor pathways.

Authors:  Sonja E Findlater; Erin L Mazerolle; G Bruce Pike; Sean P Dukelow
Journal:  Hum Brain Mapp       Date:  2019-03-19       Impact factor: 5.038

Review 4.  New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions.

Authors:  Byoung-Kyong Min; Matti S Hämäläinen; Dimitrios Pantazis
Journal:  Trends Biotechnol       Date:  2020-04-08       Impact factor: 19.536

Review 5.  A half-century of innovation in technology-preparing MRI for the 21st century.

Authors:  Peter Börnert; David G Norris
Journal:  Br J Radiol       Date:  2020-06-15       Impact factor: 3.039

6.  Direct Structural Connections between Auditory and Visual Motion-Selective Regions in Humans.

Authors:  Ane Gurtubay-Antolin; Ceren Battal; Chiara Maffei; Mohamed Rezk; Stefania Mattioni; Jorge Jovicich; Olivier Collignon
Journal:  J Neurosci       Date:  2021-01-29       Impact factor: 6.167

7.  White matter network alterations in patients with depersonalization/derealization disorder.

Authors:  Anika Sierk; Judith K Daniels; Antje Manthey; Jelmer G Kok; Alexander Leemans; Michael Gaebler; Jan-Peter Lamke; Johann Kruschwitz; Henrik Walter
Journal:  J Psychiatry Neurosci       Date:  2018-08       Impact factor: 6.186

Review 8.  Brain networks and their relevance for stroke rehabilitation.

Authors:  Adrian G Guggisberg; Philipp J Koch; Friedhelm C Hummel; Cathrin M Buetefisch
Journal:  Clin Neurophysiol       Date:  2019-04-15       Impact factor: 3.708

9.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

10.  A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain.

Authors:  Kurt G Schilling; Yurui Gao; Matthew Christian; Vaibhav Janve; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroinformatics       Date:  2019-01
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