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DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection
Open accessAbstract
Several approaches have been used to trace axonal trajectories from diffusion MRI data. If such techniques were first developed in a deterministic framework reducing the diffusion information to one single main direction, more recent approaches emerged that were statistical in nature and that took into account the whole diffusion information. Based on diffusion tensor MRI data coming from normal brains, this paper presents how brain connectivity could be modelled globally by means of a random walk algorithm. The mass of connections thus generated was then virtually dissected to uncover different tracts. Corticospinal, corticobulbar, and corticothalamic tracts, the corpus callosum, the limbic system, several cortical association bundles, the cerebellar peduncles, and the medial lemniscus were all investigated. The results were then displayed in the form of an in vivo brain connectivity atlas. The connectivity pattern and the individual fibre tracts were then compared to known anatomical data; a good matching was found.
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“Diffusion MRI became a foundational tool for the Human Connectome era because it offered a scalable route to individual structural connectivity (Assaf et al., 2019; Hagmann et al., 2003).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Hagmann et al., 2003
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“Probabilistic approaches have also been used to create the first atlases of large-scale brain connections (Behrens et al., 2003; Hagmann et al., 2003; Parker et al., 2003).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Hagmann et al., 2003
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Cites
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Investigations on the Theory of the Brownian Movement
Topping, J. (1956) · Physics Bulletin · doi:10.1088/0031-9112/7/10/012 · Cited by 2,062
Investigations on the theory of the Brownian movement
Einstein, A. (1926) · BURJC Digital (King Juan Carlos University) · Cited by 1,861
Tracking neuronal fiber pathways in the living human brain
Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, H., & Raichle, M. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.10422 · Cited by 1,774
The Human Central Nervous System
Nieuwenhuys, R., Voogd, J., & van Huijzen, C. (2008) · doi:10.1007/978-3-540-34686-9 · Cited by 1,262
Microstructure of Temporo-Parietal White Matter as a Basis for Reading Ability
Klingberg, T., Hedehus, M., Temple, E., Salz, T., Gabrieli, J. D. E., Moseley, M. E., & Poldrack, R. A. (2000) · Neuron · doi:10.1016/s0896-6273(00)80911-3 · Cited by 729
Determinants of anisotropic water diffusion in nerves
Beaulieu, C., & Allen, P. S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310408 · Cited by 606
A simplified method to measure the diffusion tensor from seven MR images
Basser, P. J., & Pierpaoli, C. M. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390610 · Cited by 584
Bozzali, M. (2002) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.72.6.742 · Cited by 568
Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking
Mori, S., Kaufmann, W. E., Davatzikos, C. A., Stieltjes, B., Amodei, L., Fredericksen, K., Pearlson, G. D., Melhem, E. R., Solaiyappan, M., Raymond, G. V., et al. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10074 · Cited by 558
Diffusion tensor magnetic resonance imaging in multiple sclerosis
Filippi, M., Cercignani, M., Inglese, M., Horsfield, M. A., & Comi, G. (2001) · Neurology · doi:10.1212/wnl.56.3.304 · Cited by 545
Characterization of anisotropy in high angular resolution diffusion‐weighted MRI
Frank, L. R. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10156 · Cited by 520
An investigation of functional and anatomical connectivity using magnetic resonance imaging
Koch, M. A., Norris, D. G., & Hund-Georgiadis, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.1052 · Cited by 509
Diffusion Tensor Imaging and Axonal Tracking in the Human Brainstem
Stieltjes, B., Kaufmann, W. E., van Zijl, P. C. M., Fredericksen, K., Pearlson, G. D., Solaiyappan, M., & Mori, S. (2001) · NeuroImage · doi:10.1006/nimg.2001.0861 · Cited by 492
Rose, S. (2000) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.69.4.528 · Cited by 465
Compromised White Matter Tract Integrity in Schizophrenia Inferred From Diffusion Tensor Imaging
Lim, K. O., Hedehus, M., Moseley, M. E., de Crespigny, A. J., Sullivan, E. V., & Pfefferbaum, A. (1999) · Archives of General Psychiatry · doi:10.1001/archpsyc.56.4.367 · Cited by 447
Anisotropy in high angular resolution diffusion-weighted MRI
Frank, L. R. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1125 · Cited by 389
Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI
Jones, D. K. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10331 · Cited by 371
Foong, J. (2000) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.68.2.242 · Cited by 316
Brain white matter anatomy of tumor patients evaluated with diffusion tensor imaging
Mori, S., Frederiksen, K., van Zijl, P. C. M., Stieltjes, B., Kraut, M. A., Solaiyappan, M., & Pomper, M. G. (2002) · Annals of Neurology · doi:10.1002/ana.10137 · Cited by 281
Differences in the Distribution of Gray and White Matter in Human Cerebral Hemispheres
Gur, R. C., Packer, I. K., Hungerbühler, J. P., Reivich, M., Obrist, W. D., Amarnek, W. S., & Sackeïm, H. A. (1980) · Science · doi:10.1126/science.7355287 · Cited by 273
Forms and measures of adult and developing human corpus callosum: Is there sexual dimorphism?
Clarke, S., Kraftsik, R., der Loos, H. V., & Innocenti, G. M. (1989) · The Journal of Comparative Neurology · doi:10.1002/cne.902800205 · Cited by 264
Self-citationHoon, A. H., Lawrie, W. T., Melhem, E. R., Reinhardt, E. M., van Zijl, P. C. M., Solaiyappan, M., Jiang, H., Johnston, M. V., & Mori, S. (2002) · Neurology · doi:10.1212/wnl.59.5.752 · Cited by 192
Wieshmann, U. C., Clark, C. A., Symms, M. R., Franconi, F., Barker, G. J., & Shorvon, S. D. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00082-x · Cited by 145
Fiber Tracking from DTI Using Linear State Space Models: Detectability of the Pyramidal Tract
Gössl, C., Fahrmeir, L., Pütz, B., Auer, L. M., & Auer, D. P. (2002) · NeuroImage · doi:10.1006/nimg.2002.1055 · Cited by 134
White matter mapping using diffusion tensor MRI
Tench, C. R., Morgan, P. S., Wilson, M., & Blumhardt, L. D. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10144 · Cited by 126
Towards inference of human brain connectivity from MR diffusion tensor data
Poupon, C., Mangin, J.-F., Clark, C., Frouin, V., Régis, J. M., Bihan, D. L., & Isabelle Bloch, A. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(00)00030-x · Cited by 111
Orientational diffusion reflects fiber structure within a voxel
Hagen, E. V. D., & Henkelman, R. M. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10250 · Cited by 88
A method for myelin fiber orientation mapping using diffusion-weighted MR images
Coremans, J., Luypaert, R., Verhelle, F., Stadnik, T. W., & Osteaux, M. M. (1994) · Magnetic Resonance Imaging · doi:10.1016/0730-725x(94)92538-0 · Cited by 80
Bruyn, G. W. (1989) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(89)90181-0 · Cited by 72
Does, M. D., & Gore, J. C. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200006)43:6 · Cited by 62
Future applications of DWI in MS
Maldjian, J. A., & Grossman, R. I. (2001) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(01)00494-4 · Cited by 24
Estimation of anatomical connectivity from diffusion tensor data
Koch, M., Glauche, V., Finsterbusch, J., Nolte, U., Frahm, J., & Büchel, C. (2001) · NeuroImage · doi:10.1016/s1053-8119(01)91519-8 · Cited by 21
Seo, Y., Shinar, H., Morita, Y., & Navon, G. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199909)42:3 · Cited by 19
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
Jones (1999) · doi:10.1002/(sici)1522-2594(199907)42:1
Research works printed but not linked: 4
- Beaulieu, C., 2002. Relating micro-structural properties of neural fibres with anisotropic diffusion, in: Proc. Workshop on Diffusion MRI: Biophysical Issues. ISMRM, pp. 79–82
- Field, A., Alexander, A., Hasan, K., Arfanakis, K., Witwer, B., Moftakhar, R., Deshmukh, P., Haughton, V., Rowley, H., Noyes, J., B., H., Moritz, C., Meyerand, M., Badie, B., 2002. Diffusion-tensor MR imaging patterns in white matter tracts altered by neoplasm, in: Workshop on Diffusion MRI: Biophysical Issues. ISMRM, pp. 137–140
- Mamata, H., Westin, C., Zou, K., De Girolami, U., F.A., J., S.E., M., 2002. Combined mapping of functional domains and axonal connectivity in cat visual cortex using fmri and dti, in: Workshop on Diffusion MRI: Biophysical Issues, ISMRM, pp. 121–124
- Wedeen, V., Reese, T., Tuch, D., Weigel, M., Dou, J.-G., Weisskoff, R., Chesler, D., 2000. Mapping fiber orentation spectra in cerebral white matter with fourrier-transform diffusion MRI, in: Proceedings of the 8th Annual Meeting of ISMRM, Denver, ISMRM, p. 82
Cited by
Sorted by citations
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
Self-citationProbabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R. P., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.035 · Cited by 1,832
Network structure of cerebral cortex shapes functional connectivity on multiple time scales
Honey, C. J., Kötter, R., Breakspear, M. J., & Sporns, O. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701519104 · Cited by 1,727
Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.005 · Cited by 1,216
Metadata
- Authors
- Hagmann, P., Thiran, J.-P., Jonasson, L., Vandergheynst, P., Clarke, S., Maeder, P., & Meuli, R.
- Affiliations
- Centre Hospitalier Universitaire Vaudois (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- Corresponding author
- Hagmann, P.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 19
- Issue
- 3
- Pages
- 545-554
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2131478329
- Cited by
- 326
- References
- 39
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 5 · 2020: 12 · 2019: 9 · 2018: 10 · 2017: 8 · 2016: 9 · 2015: 8 · 2014: 16 · 2013: 30 · 2012: 20
- FWCI
- 16.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Anatomy › Classical Anatomy and Histology
- Keywords
- diffusion tensor imaging, brain connectivity, random walk algorithm, virtual dissection, corticospinal tract, corticobulbar tract, corpus callosum, limbic system, cerebellar peduncles, medial lemniscus, axonal trajectories
- MeSH terms
- Algorithms, Axons, Brain, Brain Mapping, Cerebellum, Cerebral Cortex, Computer Graphics, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Neurological, Nerve Fibers, Neural Pathways, Pyramidal Tracts, Thalamus
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