Literature DB >> 22433046

Tractography: where do we go from here?

Saad Jbabdi1, Heidi Johansen-Berg.   

Abstract

Diffusion tractography offers enormous potential for the study of human brain anatomy. However, as a method to study brain connectivity, tractography suffers from limitations, as it is indirect, inaccurate, and difficult to quantify. Despite these limitations, appropriate use of tractography can be a powerful means to address certain questions. In addition, while some of tractography's limitations are fundamental, others could be alleviated by methodological and technological advances. This article provides an overview of diffusion magnetic resonance tractography methods with a focus on how future advances might address challenges in measuring brain connectivity. Parts of this review are somewhat provocative, in the hope that they may trigger discussions possibly lacking in a field where the apparent simplicity of the methods (compared to their functional magnetic resonance imaging counterparts) can hide some fundamental issues that ultimately hinder the interpretation of findings, and cast doubt as to what tractography can really teach us about human brain anatomy.

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Year:  2011        PMID: 22433046      PMCID: PMC3677805          DOI: 10.1089/brain.2011.0033

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  122 in total

1.  Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging.

Authors:  Gaolang Gong; Tianzi Jiang; Chaozhe Zhu; Yufeng Zang; Fei Wang; Sheng Xie; Jiangxi Xiao; Xuemei Guo
Journal:  Hum Brain Mapp       Date:  2005-02       Impact factor: 5.038

2.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

3.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

4.  Probabilistic fibre tracking: differentiation of connections from chance events.

Authors:  David M Morris; Karl V Embleton; Geoff J M Parker
Journal:  Neuroimage       Date:  2008-06-20       Impact factor: 6.556

5.  A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features.

Authors:  Daniel C Alexander
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

6.  Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers.

Authors:  V J Wedeen; R P Wang; J D Schmahmann; T Benner; W Y I Tseng; G Dai; D N Pandya; P Hagmann; H D'Arceuil; A J de Crespigny
Journal:  Neuroimage       Date:  2008-04-08       Impact factor: 6.556

7.  Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography.

Authors:  Jeremy D Schmahmann; Deepak N Pandya; Ruopeng Wang; Guangping Dai; Helen E D'Arceuil; Alex J de Crespigny; Van J Wedeen
Journal:  Brain       Date:  2007-02-09       Impact factor: 13.501

Review 8.  Just pretty pictures? What diffusion tractography can add in clinical neuroscience.

Authors:  Heidi Johansen-Berg; Timothy E J Behrens
Journal:  Curr Opin Neurol       Date:  2006-08       Impact factor: 5.710

9.  Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex.

Authors:  H Johansen-Berg; T E J Behrens; M D Robson; I Drobnjak; M F S Rushworth; J M Brady; S M Smith; D J Higham; P M Matthews
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-30       Impact factor: 11.205

10.  Reliable identification of the auditory thalamus using multi-modal structural analyses.

Authors:  J T Devlin; E L Sillery; D A Hall; P Hobden; T E J Behrens; R G Nunes; S Clare; P M Matthews; D R Moore; H Johansen-Berg
Journal:  Neuroimage       Date:  2006-02-09       Impact factor: 6.556

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  215 in total

1.  Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited.

Authors:  Cibu Thomas; Frank Q Ye; M Okan Irfanoglu; Pooja Modi; Kadharbatcha S Saleem; David A Leopold; Carlo Pierpaoli
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-03       Impact factor: 11.205

2.  High-cost, high-capacity backbone for global brain communication.

Authors:  Martijn P van den Heuvel; René S Kahn; Joaquín Goñi; Olaf Sporns
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-18       Impact factor: 11.205

3.  Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI.

Authors:  Stamatios N Sotiropoulos; Timothy E J Behrens; Saad Jbabdi
Journal:  Neuroimage       Date:  2012-01-14       Impact factor: 6.556

4.  Making sense of brain network data.

Authors:  Olaf Sporns
Journal:  Nat Methods       Date:  2013-06       Impact factor: 28.547

5.  Cortico-cortical, cortico-striatal, and cortico-thalamic white matter fiber tracts generated in the macaque brain via dynamic programming.

Authors:  J Tilak Ratnanather; Rakesh M Lal; Michael An; Clare B Poynton; Muwei Li; Hangyi Jiang; Kenichi Oishi; Lynn D Selemon; Susumu Mori; Michael I Miller
Journal:  Brain Connect       Date:  2013-09-18

6.  An afferent white matter pathway from the pulvinar to the amygdala facilitates fear recognition.

Authors:  Jessica McFadyen; Jason B Mattingley; Marta I Garrido
Journal:  Elife       Date:  2019-01-16       Impact factor: 8.140

7.  Abnormal brain network organization in body dysmorphic disorder.

Authors:  Donatello Arienzo; Alex Leow; Jesse A Brown; Liang Zhan; Johnson Gadelkarim; Sarit Hovav; Jamie D Feusner
Journal:  Neuropsychopharmacology       Date:  2013-01-15       Impact factor: 7.853

8.  Optimization of tractography of the optic radiations.

Authors:  Christopher F A Benjamin; Jolene M Singh; Sanjay P Prabhu; Simon K Warfield
Journal:  Hum Brain Mapp       Date:  2012-12-08       Impact factor: 5.038

9.  The Lamellar Structure of the Brain Fiber Pathways.

Authors:  Vitaly L Galinsky; Lawrence R Frank
Journal:  Neural Comput       Date:  2016-09-14       Impact factor: 2.026

10.  Disrupted brain networks in the aging HIV+ population.

Authors:  Neda Jahanshad; Victor G Valcour; Talia M Nir; Omid Kohannim; Edgar Busovaca; Krista Nicolas; Paul M Thompson
Journal:  Brain Connect       Date:  2012
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