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Diffusion Tensor Imaging and Axonal Tracking in the Human Brainstem
Abstract
Diffusion tensor MRI was used to demonstrate in vivo anatomical mapping of brainstem axonal connections. It was possible to identify the corticospinal tract (CST), medial lemniscus, and the superior, medial, and inferior cerebellar peduncles. In addition, the cerebral peduncle could be subparcellated into component tracts, namely, the frontopontine tract, the CST, and the temporo-/parieto-/occipitopontine tract. Anatomical landmarks and tracking thresholds were established for each fiber and, using these standards, reproducibility of automated tracking as assessed by intra- and interrater reliability was found to be high (kappa > 0.82). Reconstructed fibers corresponded well to existing anatomical knowledge, validating the tracking. Information on the location of individual tracts was coregistered with quantitative MRI maps to automatically measure MRI parameters on a tract-by-tract basis. The results reveal that each tract has a unique spatial signature in terms of water relaxation and diffusion anisotropy.
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“Pathways traced in this way are reproducible (Heiervang et al. 2006) and generally reproduce those identified using postmortem dissection or tract tracing (Stieltjes et al. 2001; Croxson et al. 2005).”
From Anatomical connectivity of the subgenual cingulate region targeted with deep brain stimulation for treatment-resistant depression (2008) · cites this paper as Stieltjes et al. 2001
Citations
Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656
Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,513
Self-citationDiffusion 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
Toward a quantitative assessment of diffusion anisotropy
Pierpaoli, C. M., & Basser, P. J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360612 · Cited by 2,392
Rapid Automated Algorithm for Aligning and Reslicing PET Images
Woods, R. P., Cherry, S. R., & Mazziotta, J. C. (1992) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199207000-00024 · Cited by 1,901
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
Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system.
Moseley, M. E., Cohen, Y., Kucharczyk, J. R., Mintorovitch, J., Asgari, H. S., Wendland, M. F., Tsuruda, J. S., & Norman, D. M. (1990) · Radiology · doi:10.1148/radiology.176.2.2367658 · Cited by 1,132
Research works printed but not linked: 2
- Williams, 1997, The Human Brain: Dissections of the Real Brain, Virtual Hospital, University of Iowa
- Xue, 1999, In vivo three-dimensional reconstruction of rat brain axonal projections by diffusion tensor imaging, Magn. Reson. Med., 42, 1123, 10.1002/(SICI)1522-2594(199912)42:6<1123::AID-MRM17>3.0.CO;2-H · DOI
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Uchida, Y., Kimura, E., Hirano, T., Nishi, S., Maeda, Y., Yamashita, S., Ueno-Shuto, K., Tokutomi, N., Kitajima, M., Hirai, T., et al. (2011) · Case Reports in Neurology · doi:10.1159/000328962 · Cited by 2
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(2007) · Elsevier eBooks · doi:10.1016/b978-044452828-5/50026-0
Kim, J., Moritani, T., EKHOLM, S. E., Ohgiya, Y., Griauzde, J. M., & Chaudhary, N. (2021) · Springer eBooks · doi:10.1007/978-3-030-62120-9_9
Dellani, P. R., Wille, P. R., Vučurević, G., Bauermann, T., Stoeter, P., Glaser, M., Stadie, A., Grunett, P., Perneczky, A., & von Wangenheim, A. (2004) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2004.1311741
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Tchofo, P. J. (2011) · theses.fr (ABES) · doi:10.70675/3c8c9f89z4b1bz4ebdz9615zc39ae988767a
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Mori, S., & van Zijl, P. C. M. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9781139193481.008
Self-citationDTI-based visualization strategies for the pyramidal tract
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Metadata
- Authors
- Stieltjes, B., Kaufmann, W. E., van Zijl, P. C. M., Fredericksen, K., Pearlson, G. D., Solaiyappan, M., & Mori, S.
- Affiliations
- Johns Hopkins University (US)
- Kennedy Krieger Institute (US)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2001-09
- Volume
- 14
- Issue
- 3
- Pages
- 723-735
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2156715960
- Cited by
- 492
- References
- 31
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 4 · 2022: 9 · 2021: 14 · 2020: 10 · 2019: 12 · 2018: 9 · 2017: 14 · 2016: 13 · 2015: 23 · 2014: 22 · 2013: 26 · 2012: 18
- FWCI
- 20.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1r03ag016028-01)
- National Institute on Aging (AG016028)
- National Institute of Mental Health (MH 52886, R01MH052886)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015909)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD37931, R03HD037931, HD24061, P30HD024061)
- 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 › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- brainstem, corticospinal tract, medial lemniscus, cerebellar peduncles, cerebral peduncle, tractography, diffusion anisotropy, water relaxation
- MeSH terms
- Adult, Axons, Brain Mapping, Brain Stem, Color, Differential Threshold, Female, Humans, Magnetic Resonance Imaging, Male, Anisotropy
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