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MR diffusion tensor spectroscopy and imaging
Open accessAbstract
This paper describes a new NMR imaging modality--MR diffusion tensor imaging. It consists of estimating an effective diffusion tensor, Deff, within a voxel, and then displaying useful quantities derived from it. We show how the phenomenon of anisotropic diffusion of water (or metabolites) in anisotropic tissues, measured noninvasively by these NMR methods, is exploited to determine fiber tract orientation and mean particle displacements. Once Deff is estimated from a series of NMR pulsed-gradient, spin-echo experiments, a tissue's three orthotropic axes can be determined. They coincide with the eigenvectors of Deff, while the effective diffusivities along these orthotropic directions are the eigenvalues of Deff. Diffusion ellipsoids, constructed in each voxel from Deff, depict both these orthotropic axes and the mean diffusion distances in these directions. Moreover, the three scalar invariants of Deff, which are independent of the tissue's orientation in the laboratory frame of reference, reveal useful information about molecular mobility reflective of local microstructure and anatomy. Inherently tensors (like Deff) describing transport processes in anisotropic media contain new information within a macroscopic voxel that scalars (such as the apparent diffusivity, proton density, T1, and T2) do not.
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In the citing paper
“Diffusion MRI-based tractography has offered exclusive means to map structural connections non-invasively in animal and human brain, and is considered a very useful and powerful technique to unravel the human connectome at meso- and macro-level (Le Bihan et al. 1986; Basser et al. 1994b; Mori et al. 1999; Jones 2008; Jbabdi and Johansen-Berg 2011).”
From Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics (2018) · cites this paper as Basser et al. 1994b
In the citing paper
“However, these parameters may not be directly related to specific aspects of tissue structure because DTI model does not consider the hindered and restricted diffusion properties in the tissue (Zhang et al. 2012a; Basser et al. 1994).”
From Neurite orientation dispersion and density imaging of mouse brain microstructure (2019) · cites this paper as Basser et al. 1994
In the citing paper
“Diffusion-weighted MRI is the only noninvasive method available for mapping fiber architecture of tissue in vivo (Le Bihan et al., 1986; Basser et al., 1994)”
From The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains (2017) · cites this paper as Basser et al., 1994
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“DTI is an extended form of diffusion-weighted tensor trace imaging that is sensitized to the motion of water molecules as they interact within tissues, thus reflecting characteristics of their immediate structural surroundings [24, 25].”
BackgroundReduced white matter integrity in attention-deficit hyperactivity disorder
Hamilton, L. S., Levitt, J. G., O'Neill, J., Alger, J. R., Luders, E., Phillips, O. R., Caplan, R., Toga, A. W., McCracken, J., & Narr, K. L. (2008) · NeuroReport · doi:10.1097/wnr.0b013e3283174415 · Cited by 167
Drakesmith, M., Caeyenberghs, K., Dutt, A., Lewis, G., David, A. S., & Jones, D. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.011 · Cited by 157
Inflammatory cytokines influence measures of white matter integrity in Bipolar Disorder
Benedetti, F., Poletti, S., Hoogenboezem, T. A., Mazza, E., Ambrée, O., de Wit, H., Wijkhuijs, A. J. M., Locatelli, C., Bollettini, I., Colombo, C., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.05.047 · Cited by 151
Structural basis of large-scale functional connectivity in the mouse
Grandjean, J., Zerbi, V., Balsters, J. H., Wenderoth, N., & Rudin, M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0438-17.2017 · Cited by 151
Eng, G. K., Sim, K., & Chen, S.-H. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.03.002 · Cited by 148
Grey and white matter changes at different stages of Alzheimer’s disease
Serra, L., Cercignani, M., Lenzi, D., Perri, R., Fadda, L., Caltagirone, C., Macaluso, E., & Bozzali, M. (2010) · Journal of Alzheimer's Disease · doi:10.3233/jad-2010-1223 · Cited by 149
Diffusion tensor imaging in biomechanical studies of skeletal muscle function
VAN DONKELAAR, C. C., KRETZERS, L. J. G., BOVENDEERD, P. H. M., LATASTER, L. M. A., NICOLAY, K., JANSSEN, J. D., & DROST, M. R. (1999) · Journal of Anatomy · doi:10.1046/j.1469-7580.1999.19410079.x · Cited by 141
Atypical diffusion tensor hemispheric asymmetry in autism
Lange, N., DuBray, M. B., Lee, J. E., Froimowitz, M. P., Froehlich, A., Adluru, N., Wright, B., Ravichandran, C., Fletcher, P. T., Bigler, E. D., et al. (2010) · Autism Research · doi:10.1002/aur.162 · Cited by 142
Myelin, myelin-related disorders, and psychosis
Mighdoll, M. I., Tao, R., Kleinman, J. E., & Hyde, T. M. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2014.09.040 · Cited by 135
Progressive changes of white matter integrity in schizophrenia revealed by diffusion tensor imaging
Mori, T., Ohnishi, T., Hashimoto, R., Nemoto, K., Moriguchi, Y., Noguchi, H., Nakabayashi, T., Hori, H., Harada, S., Saitoh, O., et al. (2007) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2006.09.004 · Cited by 132
Predicting the electric field distribution in the brain for the treatment of glioblastoma
Miranda, P. C., Mekonnen, A., Salvador, R., & Basser, P. J. (2014) · Physics in Medicine and Biology · doi:10.1088/0031-9155/59/15/4137 · Cited by 131
Self-citationWenger, C., Salvador, R., Basser, P. J., & Miranda, P. C. (2015) · Physics in Medicine and Biology · doi:10.1088/0031-9155/60/18/7339 · Cited by 121
Self-citationNeuroimaging characteristics of dementia with Lewy bodies
Mak, E., Su, L., Williams, G. B., & O’Brien, J. T. (2014) · Alzheimer's Research & Therapy · doi:10.1186/alzrt248 · Cited by 120
Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo
Grussu, F., Schneider, T., Zhang, H., Alexander, D. C., & Wheeler–Kingshott, C. A. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.045 · Cited by 118
Metadata
- Authors
- Basser, P. J., Mattiello, J., & LeBihan, D.
- Affiliations
- National Institutes of Health (US)
- ORCID
- Basser, P.J.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 1994-01
- Volume
- 66
- Issue
- 1
- Pages
- 259-267
- ISSN
- 0006-3495 (ISSN-L)
- PMC
- PMC1275686
- OpenAlex
- W1964802316
- Cited by
- 5,970
- References
- 1
- Citations by year
- 2026: 185 · 2025: 254 · 2024: 235 · 2023: 223 · 2022: 272 · 2021: 324 · 2020: 289 · 2019: 292 · 2018: 264 · 2017: 261 · 2016: 272 · 2015: 313 · 2014: 258 · 2013: 314 · 2012: 276
- FWCI
- 16.08
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biophysical Journal (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › NMR spectroscopy and applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffusion tensor imaging, anisotropic diffusion, apparent diffusivity, tissue microstructure, pulsed gradient spin echo
- MeSH terms
- Animals, Brain, Cats, Mathematics, Magnetic Resonance Spectroscopy
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