Functional diffusion tensor imaging at 3 Tesla
Open accessAbstract
In a previous study we reported on a non-invasive functional diffusion tensor imaging (fDTI) method to measure neuronal signals directly from subtle changes in fractional anisotropy along white matter tracts. We hypothesized that these fractional anisotropy changes relate to morphological changes of glial cells induced by axonal activity. In the present study we set out to replicate the results of the previous study with an improved fDTI scan acquisition scheme. A group of twelve healthy human participants were scanned on a 3 Tesla MRI scanner. Activation was revealed in the contralateral thalamo-cortical tract and optic radiations during tactile and visual stimulation, respectively. Mean percent signal change in FA was 3.47% for the tactile task and 3.79% for the visual task, while for the MD the mean percent signal change was only -0.10 and -0.09%. The results support the notion of different response functions for tactile and visual stimuli. With this study we successfully replicated our previous findings using the same types of stimuli but on a different group of healthy participants and at different field-strength. The successful replication of our first fDTI results suggests that the non-invasive fDTI method is robust enough to study the functional neural networks in the human brain within a practically feasible time period.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A growing body of evidence suggests possibly direct contributions of activation of fiber bundles to changes in white matter.
“A growing body of evidence suggests possibly direct contributions of activation of fiber bundles to changes in white matter. 84”
From Physical exercise keeps the brain connected: biking increases white matter integrity in patients with schizophrenia and healthy controls. (2015) · cites this paper as [84]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90076-5 · Cited by 9,148 · see citing works
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · see citing works
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912 · see citing works
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 · see citing works
Andersson, J. L. R., Skare, S., & Ashburner, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00336-7 · Cited by 3,469 · see citing works
Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.
Bihan, D. L., Breton, E., Lallemand, D. P., Aubin, M., Vignaud, J., & Laval-Jeantet, M. (1988) · Radiology · doi:10.1148/radiology.168.2.3393671 · Cited by 3,174 · see citing works
Fiber tracking: principles and strategies – a technical review
Mori, S., & van Zijl, P. C. M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.781 · Cited by 2,019 · see citing works
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 · see citing works
Training induces changes in white-matter architecture
Scholz, J., Klein, M. C., Behrens, T. E. J., & Johansen-Berg, H. (2009) · Nature Neuroscience · doi:10.1038/nn.2412 · Cited by 1,508 · see citing works
Hua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D. S., Calabresi, P. A., Pekar, J. J., van Zijl, P. C. M., & Mori, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.053 · Cited by 1,507 · see citing works
Mr contrast due to intravascular magnetic susceptibility perturbations
Boxerman, J. L., Hamberg, L. M., Rosen, B. R., & Weisskoff, R. M. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340412 · Cited by 1,009 · see citing works
Automatic 3‐D model‐based neuroanatomical segmentation
Collins, D. L., Holmes, C. J., Peters, T. M., & Evans, A. C. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030304 · Cited by 975 · see citing works
The rises and falls of disconnection syndromes
Catani, M., & ffytche, D. H. (2005) · Brain · doi:10.1093/brain/awh622 · Cited by 863 · see citing works
RESTORE: Robust estimation of tensors by outlier rejection
Chang, L., Jones, D. K., & Pierpaoli, C. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20426 · Cited by 611 · see citing works
Visual Topography of Human Intraparietal Sulcus
Swisher, J. D., Halko, M. A., Merabet, L. B., McMains, S. A., & Somers, D. C. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0991-07.2007 · Cited by 456 · see citing works
Uddin, L. Q., Supekar, K., Amin, H., Rykhlevskaia, E. I., Nguyen, D. A., Greicius, M. D., & Menon, V. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq011 · Cited by 449 · see citing works
van den Heuvel, M., Mandl, R., Luigjes, J., & Hulshoff Pol, H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2964-08.2008 · Cited by 349 · see citing works
Self-citationA Model-Based Method for Retrospective Correction of Geometric Distortions in Diffusion-Weighted EPI
Andersson, J., & Skare, S. T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1039 · Cited by 272 · see citing works
Direct and fast detection of neuronal activation in the human brain with diffusion MRI
Le Bihan, D., Urayama, S.-I., Aso, T., Hanakawa, T., & Fukuyama, H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600644103 · Cited by 272 · see citing works
Extrasynaptic volume transmission and diffusion parameters of the extracellular space
Syková, E. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2004.06.077 · Cited by 265 · see citing works
Diffusion weighted fMRI at 1.5 T
Song, A. W., Wong, E. C., Tan, S. G., & Hyde, J. S. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350204 · Cited by 208 · see citing works
Transient decrease in water diffusion observed in human occipital cortex during visual stimulation
Darquié, A., Poline, J.-B., Poupon, C., Saint-Jalmes, H., & Le Bihan, D. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.151125698 · Cited by 194 · see citing works
Activity-dependent shrinkage of extracellular space in rat optic nerve: a developmental study
Ransom, B. R., Yamate, C., & Connors, B. W. (1985) · Journal of Neuroscience · doi:10.1523/jneurosci.05-02-00532.1985 · Cited by 191 · see citing works
MacVicar, B. A., Feighan, D., Brown, A. M., & Ransom, B. R. (2001) · Glia · doi:10.1002/glia.10023 · Cited by 167 · see citing works
Characterization of mutations in the genedoublecortin in patients with double cortex syndrome
Gleeson, J. G., Minnerath, S., Fox, J. W., Allen, K. M., Luo, R. F., Hong, S. E., Berg, M. J., Kuzniecky, R., Reitnauer, P. J., Borgatti, R., et al. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 166 · see citing works
On the origin of respiratory artifacts in BOLD-EPI of the human brain
Windischberger, C., Langenberger, H., Sycha, T., Tschernko, E., Fuchsjäger-Mayerl, G., Schmetterer, L. F., & Moser, E. (2002) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(02)00563-5 · Cited by 160 · see citing works
Effects of susceptibility variations on NMR measurements of diffusion
Zhong, J., Kennan, R. P., & Gore, J. C. (1991) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(91)90217-h · Cited by 125 · see citing works
Anderson, A. W., Zhong, J., Petroff, O. A. C., Szafer, A., Ransom, B. R., Prichard, J. W., & Gore, J. C. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350206 · Cited by 110 · see citing works
Evidence for a vascular contribution to diffusion FMRI at high <i>b</i> value
Miller, K. L., Bulte, D. P., Devlin, H., Robson, M. D., Wise, R. G., Woolrich, M. W., Jezzard, P., & Behrens, T. E. J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707257105 · Cited by 98 · see citing works
Classification of human liposarcoma and lipoma using ex vivo proton NMR spectroscopy
Millis, K. K., Weybright, P., Campbell, N., Fletcher, J. A., Fletcher, C. D. �., Cory, D. G., & Singer, S. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199902)41:2 · Cited by 92 · see citing works
Imaging connectivity in the human cerebral cortex: The next frontier?
Mesulam, M. M. (2004) · Annals of Neurology · doi:10.1002/ana.20368 · Cited by 86 · see citing works
Mandl, R. C. W., Schnack, H. G., Zwiers, M. P., van der Schaaf, A., Kahn, R. S., & Pol, H. E. H. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003631 · Cited by 70 · see citing works
Self-citationCharacterization of cerebrovascular responses to hyperoxia and hypercapnia using MRI in rat
Lu, J., Dai, G., Egi, Y., Huang, S., Kwon, S. J., Lo, E. H., & Kim, Y. R. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.037 · Cited by 68 · see citing works
Syková, E., Vargová, L., Kubinová, Š., Jendelová, P., & Chvátal, A. (2003) · NeuroImage · doi:10.1016/s1053-8119(02)00014-9 · Cited by 63 · see citing works
Hong, X., & Dixon, W. T. (1992) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(92)90210-x · Cited by 63 · see citing works
Jin, T., & Kim, S. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.014 · Cited by 50 · see citing works
Stroman, P. W., Lee, A. S., Pitchers, K. K., & Andrew, R. D. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21534 · Cited by 49 · see citing works
An intrinsic diffusion response function for analyzing diffusion functional MRI time series
Aso, T., Urayama, S.-I., Poupon, C., Sawamoto, N., Fukuyama, H., & Bihan, D. L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.027 · Cited by 47 · see citing works
Diffusion-weighted magnetic resonance imaging of neuronal activity in the hippocampal slice model
Flint, J., Hansen, B., Vestergaard-Poulsen, P., & Blackband, S. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.003 · Cited by 44 · see citing works
Jin, T., Zhao, F., & Kim, S. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21074 · Cited by 44 · see citing works
Yacoub, E. S., Uludaǧ, K., Uǧurbil, K., & Harel, N. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.01.046 · Cited by 38 · see citing works
Branzoli, F., Techawiboonwong, A., Kan, H. E., WEBB, A. G., & Ronen, I. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24542 · Cited by 37 · see citing works
Diffusion‐weighted NMR imaging changes caused by electrical activation of the brain
Prichard, J. W., Zhong, J., Petroff, O. A. C., & Gore, J. C. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080709 · Cited by 34 · see citing works
Kao, Y., Guo, W., Liou, A. J.-K., Hsiao, Y.-H., & Chou, C. (2007) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2007.07.001 · Cited by 30 · see citing works
High b -value diffusion-weighted fMRI in a rat forepaw electrostimulation model at 7 T
Autio, J. A., Kershaw, J., Shibata, S., Obata, T., Kanno, I., & Aoki, I. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.006 · Cited by 19 · see citing works
Tirosh, N., & Nevo, U. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.065 · Cited by 18 · see citing works
Kershaw, J., Tomiyasu, M., Kashikura, K., Hirano, Y., Nonaka, H., Hirano, M., Ikehira, H., Kanno, I., & Obata, T. (2009) · NMR in Biomedicine · doi:10.1002/nbm.1391 · Cited by 14 · see citing works
Impact of hemodynamic effects on diffusion-weighted fMRI signals
Rudrapatna, U. S., van der Toorn, A., van Meer, M. P. A., & Dijkhuizen, R. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.050 · Cited by 12 · see citing works
Jang, S. H., Seo, J. P., Ahn, S. H., & Lee, M. Y. (2013) · Somatosensory & Motor Research · doi:10.3109/08990220.2013.775117 · Cited by 11 · see citing works
Beshay, J. E., Hahn, P. C., Beshay, V. E., Hargittai, P. T., & Lieberman, E. M. (2005) · Glia · doi:10.1002/glia.20192 · Cited by 8 · see citing works
Effect of cerebrovascular changes on brain DTI quantitation: a hypercapnia study
Ding, A. Y., Chan, K. C., & Wu, E. X. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.02.012 · Cited by 8 · see citing works
Transient signal changes in diffusion‐weighted stimulated echoes during neuronal stimulation at 3T
Goerke, U., & Möller, H. E. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20891 · Cited by 7 · see citing works
Baslow, M. H., Hu, C., & Guilfoyle, D. N. (2012) · Journal of Molecular Neuroscience · doi:10.1007/s12031-011-9700-6 · Cited by 5 · see citing works
Jones (1999) · doi:10.1002/(sici)1522-2594(199907)42:1
Flagged first, then by citations
1 of the 55 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Gulani V. Iwamoto G. A. Lauterbur P. C. (1999). Apparent water diffusion measurements in electrically stimulated neural tissue. Magn. Reson. Med. 41 241– 246 10.1002/(SICI)1522-2594(199902)41:2<241::AID-MRM5>3.0.CO;2-E 10080269 · DOI
Cited by
Sorted by citations
Alfaro, F. J., Gavrieli, A., Saade-Lemus, P., Lioutas, V., Upadhyay, J., & Novak, V. (2017) · Metabolism · doi:10.1016/j.metabol.2017.08.009 · Cited by 122 · see citing works
Svatkova, A., Mandl, R. C. W., Scheewe, T. W., Cahn, W., Kahn, R. S., & Hulshoff Pol, H. E. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv033 · Cited by 120 · see citing works
Self-citationDiffusion Tensor Imaging of TBI
Douglas, D., Iv, M., Douglas, P. K., Anderson, A., Vos, S. B., Bammer, R., Zeineh, M., & Wintermark, M. (2015) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000062 · Cited by 87 · see citing works
Stolp, H. B., Ball, G., So, P., Tournier, J., Jones, M., Thornton, C., & Edwards, A. D. (2018) · Scientific Reports · doi:10.1038/s41598-018-22295-9 · Cited by 57 · see citing works
Hahn, A., Gryglewski, G., Nics, L., Rischka, L., Ganger, S., Sigurdardottir, H., Vraka, C., Silberbauer, L., Vanicek, T., Kautzky, A., et al. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1558-0 · Cited by 40 · see citing works
Distinct Types of White Matter Changes Are Observed after Anterior Temporal Lobectomy in Epilepsy
Pustina, D., Doucet, G. E., Evans, J. J., Sharan, A. D., Sperling, M. R., Skidmore, C. T., & Tracy, J. I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104211 · Cited by 37 · see citing works
Increased microstructural white matter correlations in left, but not right, temporal lobe epilepsy
Pustina, D., Doucet, G. E., Sperling, M. R., Sharan, A. D., & Tracy, J. I. (2014) · Human Brain Mapping · doi:10.1002/hbm.22614 · Cited by 30 · see citing works
Grant, M., Liu, J., Wintermark, M., Bağcı, U., & Douglas, D. (2023) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2023.01.004 · Cited by 15 · see citing works
Nicolas, R., Gros-Dagnac, H., Aubry, F., & Celsis, P. (2017) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2017.01.022 · Cited by 14 · see citing works
Transient changes in white matter microstructure during general anesthesia
Tang, C. Y., Wang, V. X., Lun, M., Mincer, J. S., Ng, J., Brallier, J. W., Schwartz, A. E., Ahn, H., McCormick, P. J., Nir, T., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247678 · Cited by 13 · see citing works
Magnetic resonance imaging of healthy and diseased brain networks
Yong He, A., & Evans, A. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00890 · Cited by 10 · see citing works
The ionic DTI model (iDTI) of dynamic diffusion tensor imaging (dDTI)
Makris, N., Gasic, G. P., & Garrido, L. (2014) · MethodsX · doi:10.1016/j.mex.2014.09.004 · Cited by 2 · see citing works
Do we measure gray matter activation with functional diffusion tensor imaging?
Mandl, R. C. W., Schnack, H. G., Zwiers, M. P., Kahn, R. S., & Pol, H. E. H. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00126 · Cited by 1 · see citing works
Self-citationThe Concept of Functional Tractography Method for Cognitive Brain Studies
Kartashov, S., Ponomarenko, N., & Ushakov, V. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-99316-4_21 · Cited by 1 · see citing works
Thermal Stimulation Changes Diffusivity of the Spinothalamic Tract
Lin, J. C., Mueller, C., & Younger, J. (2017) · Spine · doi:10.1097/brs.0000000000002472 · Cited by 1 · see citing works
Jennings, J. E., Chakravarthi, S. S., Monroy-Sosa, A., Epping, A., Fukui, M. B., Rovin, R., & Kassam, A. B. (2020) · Springer eBooks · doi:10.1007/978-3-030-54879-7_10 · Cited by 1 · see citing works
Dynamic Parameters of the Diffusion in Human Brain White Matter During Cognitive Tasks
Kartashov, S., Ushakov, V., & Orlov, V. A. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-25719-4_22
Towards an Integration of Information Gleaned from Neuroimaging in Schizophrenia
Lyall, A. E., Shenton, M. E., & Kubicki, M. R. (2020) · Springer eBooks · doi:10.1007/978-3-030-35206-6_22
- Authors
- Mandl, R.
- Affiliations
- University Medical Center Utrecht (NL)
- Corresponding author
- Mandl, René
- ORCID
- Mandl, René
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 7
- Pages
- 817-817
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC3847896
- OpenAlex
- W2072081641
- Cited by
- 18
- References
- 55
- Citations by year
- 2023: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 4 · 2015: 2 · 2014: 5
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (917.46.370)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- fractional anisotropy, white matter tracts, thalamocortical tract, optic radiation, tactile stimulation, visual stimulation, mean diffusivity, 3T MRI
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review