The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
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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Citations
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
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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