The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Direct and fast detection of neuronal activation in the human brain with diffusion MRI
Abstract
Using MRI, we found that a slowly diffusing water pool was expanding (1.7 ± 0.3%) upon activation on the human visual cortex at the detriment of a faster diffusing pool. The time course of this water phase transition preceded the activation-triggered vascular response detected by usual functional MRI by several seconds. The observed changes in water diffusion likely reflect early biophysical events that take place in the activated cells, such as cell swelling and membrane expansion. Although the exact mechanisms remain to clarify, access to such an early and direct physiological marker of cortical activation with MRI will provide opportunities for functional neuroimaging of the human brain.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A major conceptual shift occurred in the early 2000s when diffusion MRI was shown to detect brain activation through transient decreases in ADC, suggesting sensitivity to intrinsic microstructural changes in addition to possible vascular effects (Fig. 6) (Darquié et al., 2001; Le Bihan et al., 2006).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan et al., 2006
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“T2-related effects (which are weaker than T2*-weighted BOLD) are largely independent of b-value, so that, when echo time is matched, their contributions can be substantially reduced or eliminated by calculating an ADC or, better, sADC derived from two b-values (Aso et al., 2009; de Riedmatten, Spencer, Olszowy, et al., 2025; Le Bihan et al., 2006; Spencer et al., 2025).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan et al., 2006
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“mirroring activation-related ADC and sADC decreases observed with DfMRI (Le Bihan et al., 2006).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan et al., 2006
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“There are also IVIM effects (see above) that are mostly visible at low b-values and can be eliminated using higher b-values (Le Bihan et al., 2006).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan et al., 2006
The cited source says what the claim attributes to it.
In the citing paper
“In human visual cortex, these diffusion changes preceded the BOLD response and were closely time locked to stimulation (Darquié et al., 2001; Kohno et al., 2009; Le Bihan et al., 2006).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan et al., 2006
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681
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
Ogawa, S., Menon, R. S., Tank, D. W., Kim, S. G., Merkle, H., Ellermann, J. M., & Ugurbil, K. (1993) · Biophysical Journal · doi:10.1016/s0006-3495(93)81441-3 · Cited by 1,772
Dynamics of blood flow and oxygenation changes during brain activation: the Balloon model
Buxton, R. B., Wong, E. C., & Frank, L. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390602 · Cited by 1,665
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo
Reese, T. G., Heid, O., Weisskoff, R. M., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10308 · Cited by 1,229
Nonsynaptic modulation of neuronal activity in the brain: electric currents and extracellular ions
Jefferys, J. G. R. (1995) · Physiological Reviews · doi:10.1152/physrev.1995.75.4.689 · Cited by 684
Niendorf, T., Dijkhuizen, R. M., Norris, D. G., van Lookeren Campagne, M., & Nicolay, K. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360607 · Cited by 570
Light scattering and birefringence changes during nerve activity
COHEN, L. B., KEYNES, R. D., & HILLE, B. (1968) · Nature · doi:10.1038/218438a0 · Cited by 479
Flagged first, then by citations
Research works printed but not linked: 1
- R. F. Karlicek, I. J. Lowe J. Magn. Reson 37, 75–91 (1980).
Cited by
Sorted by citations
Items 201–271 of 271
Astrocyte aquaporin mediates a tonic water efflux maintaining brain homeostasis
Pham, C., Komaki, Y., Deàs-Just, A., Gac, B. L., Mouffle, C., Franco, C., Chaperon, A., Vialou, V., Tsurugizawa, T., Cauli, B., et al. (2024) · eLife · doi:10.7554/elife.95873.3 · Cited by 2
Diffusion‐Weighted Imaging of Intracranial Ring‐Enhancing Lesions
Dupanloup, A. M., Brown, C. S., Vernau, K. M., McLarty, E. M., & Dickinson, P. J. (2025) · Veterinary Radiology & Ultrasound · doi:10.1111/vru.70085 · Cited by 2
Learning engages transient and sustained cellular mechanisms in the human brain
Griffa, G., Palombo, M., Yeffal, A., Lee, H., Solano, A., Huang, S. Y., & Della‐Maggiore, V. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3003861 · Cited by 3
Robust activation detection methods for real-time and offline fMRI analysis
Oğuz, K., Cinsdikici, M. G., & Gönül, A. S. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.03.015 · Cited by 2
Physical and Physiological Principles of Diffusion
Kroenke, C. D. (2020) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-817057-1.00020-2 · Cited by 2
Simultaneous Acquisition of Diffusion Tensor and Dynamic Diffusion MRI
Gangolli, M., Wang, W. T., Gai, N., Pham, D. L., & Butman, J. A. (2022) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28407 · Cited by 2
Anesthetic modulation of water diffusion: Insights from a diffusion tensor imaging study
Peng, S., Huang, S., Chu, L. W. L., & Chiu, S. (2023) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2023.104015 · Cited by 2
Three‐dimensional functional MRI with parallel acceleration: Balanced SSFP versus PRESTO
Vallée, E., Haberg, A. K., & Kristoffersen, A. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24190 · Cited by 2
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
Jiang, X., Li, H., Luo, Q., & Gao, J. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22713 · Cited by 2
Intérêt de la neurotractographie fonctionnelle dans la reconstruction des voies visuelles en IRMTD
Istoc, A., Habas, C., Iba-Zizen, M. T., Nguyen, T. H., Abanou, A., Yoshida, M., Bellinger, L., Gargasson, J. L., & Cabanis, E. A. (2010) · Journal Français d Ophtalmologie · doi:10.1016/j.jfo.2010.09.006 · Cited by 2
Bandettini, P. A., & Wong, E. C. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_30 · Cited by 2
Structural and Functional Neuroimaging Methods: Applications to Substance Abuse and Addiction
Yang, Y., Chefer, S., Geng, X., Gu, H., Chen, X., & Stein, E. A. (2011) · Wiley eBooks · doi:10.1002/9781119998938.ch3 · Cited by 2
Le Bihan, D. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1858655 · Cited by 1
Complementarity of BOLD and ADC‐fMRI in Mapping Brain Visual Processing in the Rat
Pérot, J., Hertanu, A., Spencer, A. P. C., Nguyen‐Duc, J., Molochidis, N., Zerbi, V., Yon, M., & Jelescu, I. (2026) · NMR in Biomedicine · doi:10.1002/nbm.70231 · Cited by 1
Pulse Sequence Dependence of the fMRI Signal
Jezzard, P., & Koopmans, P. J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00014-2 · Cited by 1
Statistical Considerations for Evaluating Prognostic Biomarkers: Choosing Optimal Threshold
Zhang, Z. (2016) · ICSA book series in statistics · doi:10.1007/978-3-319-42568-9_2 · Cited by 1
Azhar, M., Shakil, S., Greiner, A., Kauzlarić, D., & Korvink, J. G. (2018) · Computers & Fluids · doi:10.1016/j.compfluid.2018.03.067 · Cited by 1
Min, K., Chung, S., Lee, S., Lee, J., Toi, P. T., Kim, D., Lee, J. S., & Park, J. (2025) · eLife · doi:10.7554/elife.101642.3 · Cited by 1
High Resolution Diffusion Tensor Imaging of the Human Brain at 7T.
Lützkendorf, R., Baecke, S., Mallow, J., Herrmann, T., Stadler, J., Tempelmann, C., Trantzschel, T., & Bernarding, J. (2012) · GI-Jahrestagung · Cited by 1
How MRI Makes the Brain Visible
Bihan, D. L. (2019) · Springer eBooks · doi:10.1007/978-981-13-7908-6_20 · Cited by 2
Age Differences in Diffusivity in the Locus Coeruleus and its Ascending Noradrenergic TractPreprint
Porat, S., Sibilia, F., Yoon, J., Shi, Y., Dahl, M. J., Werkle‐Bergner, M., Düzel, S., Bodammer, N., Lindenberger, U., Kühn, S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.23.469621 · Cited by 1
Astrocyte aquaporin mediates a tonic water efflux maintaining brain homeostasisPreprint
Pham, C., Komaki, Y., Deàs-Just, A., Gac, B. L., Mouffle, C., Franco, C., Vialou, V., Tsurugizawa, T., Cauli, B., & Li, D. (2024) · eLife · doi:10.7554/elife.95873.1 · Cited by 1
Min, K., Chung, S., Lee, S., Lee, J., Toi, P. T., Kim, D., Lee, J. S., & Park, J. (2024) · eLife · doi:10.7554/elife.101642 · Cited by 1
Detection of changes in membrane potential by magnetic resonance imagingPreprint
Min, K., Chung, S., Lee, S., Lee, J., Toi, P. T., Kim, D., Lee, J. S., & Park, J. (2024) · eLife · doi:10.7554/elife.101642.1 · Cited by 1
Distinct cellular processes drive motor skill learning in the human brainPreprint
Griffa, G., Palombo, M., Yeffal, A., Lee, H., Huang, S. Y., & Della‐Maggiore, V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.22.677842 · Cited by 1
40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“DfMRI may, therefore, offer greater spatial and temporal precision than BOLD, including potential sensitivity in white matter, where BOLD fMRI is challenging ( de Riedmatten, Spencer, Nguyen-Duc, et al., 2025; Nguyen-Duc et al., 2025; Spencer et al., 2025).”
InfluentialRF Pulse Designs for Signal Recovery in T2*-Weighted Functional Magnetic Resonance Imaging.
Yip, C. (2007) · Deep Blue (University of Michigan)
Principles of magnetic resonance imaging and spectroscopy
Robertson, N. J., Vita, E. D., & Cady, E. B. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511544750.005
Simulation studies on appropriate imaging parameters for DW-fMRI using 3D and 2-compartment models
Nagahara, S., Oida, T., & Kobayashi, T. (2012) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/iccme.2012.6275634
Le Bihan, Denis: Diffusion MRI: A Historical Account
Bihan, D. L. (2010) · Encyclopedia of Magnetic Resonance · doi:10.1002/9780470034590.emrhp1057
Nagahara, S., Oida, T., & Kobayashi, T. (2013) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.e96.d.1387
Realistic models for detection of neuronal currents with magnetic resonance imaging
Du, J. (2015) · The University of Queensland · doi:10.14264/uql.2015.964
Lu, H., Golay, X., & van Zijl, P. C. M. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_11
Kim, S., Jin, T., Kim, T., Vazquez, A. L., & Fukuda, M. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_22
Джалалитдинович, А. Х. (2015) · European Medical Health and Pharmaceutical Journal · doi:10.12955/emhpj.v8i2.702
Netreba, A. V., Naguliak, O. O., & Radchenko, S. P. (2016) · IEEE International Conference on Electronics and Nanotechnology (ELNANO) · doi:10.1109/elnano.2016.7493043
Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS)
Mori, Y., Kida, I., Fukuchi, H., Fukunaga, M., & Yoshioka, Y. (2016) · Springer eBooks · doi:10.1007/978-4-431-54598-9_7
Figley, C. R. (2010) · QSpace (Queen's University Library)
Studying functional magnetic resonance imaging with artificial imaging objects
Renvall, V. (2010) · Aaltodoc (Aalto University)
Invited review Human brain mapping: Hemodynamic response and electrophysiology q
Shibasaki, H. (2008)
b0 Dependent Neuronal Activation in the Diffusion-Based Functional MRI
Kim, H., & Jahng, G. (2019) · Progress in Medical Physics · doi:10.14316/pmp.2019.30.1.22
Multiscale Multimodal Multicolor Microscopy
Giepmans, B. N. G. (2019) · Microscopy and Microanalysis · doi:10.1017/s1431927619006081
Fuster, J. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407815-4.00007-6
Evaluation of BOLD effects in the rat cortexPreprint
Just, N. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.12.443862
Assaf, Y., Johansen‐Berg, H., & de Schotten, M. T. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819641-0.00156-0
Current Awareness in NMR in Biomedicine
(2007) · NMR in Biomedicine · doi:10.1002/nbm.1160
Bihan, D. L., & Fukuyama, H. (2010) · Pan Stanford Publishing eBooks · doi:10.1201/b11671-23
Self-citationFukuyama, H. (2007) · Plasma and Fusion Research · doi:10.1585/pfr.2.s1001
Self-citationDWI and Breast Physiology Status
Nissan, N., Anaby, D., Bauer, E., & Sklair‐Levy, M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-79702-3.00007-1
MRI技術の最前線 : 拡散MRIとその脳機能イメージング・白質病変解析への応用
小林, 哲. (2010) · システム/制御/情報 : システム制御情報学会誌 · doi:10.11509/isciesci.54.2_58
Choi, B. K., Katoch, N., Park, J. A., Kim, J. W., Oh, T. I., Kim, H. J., & Woo, E. J. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.132911
Technology Initiatives in the Human Locomotor System
Sarkodie-Gyan, T., & Yu, H. (2023) · Springer eBooks · doi:10.1007/978-3-031-32781-0_7
Harsan, L. A., Degiorgis, L., Sourty, M., Chabran, E., & Bihan, D. L. (2024) · Wiley eBooks · doi:10.1002/9781394284030.ch5
Bandettini, P. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00211-4
Astrocyte aquaporin mediates a tonic water efflux maintaining brain homeostasisPreprint
Pham, C., Komaki, Y., Deàs-Just, A., Gac, B. L., Mouffle, C., Franco, C., Chaperon, A., Vialou, V., Tsurugizawa, T., Cauli, B., et al. (2024) · eLife · doi:10.7554/elife.95873.2 · Cited by 1
Bandettini, P. A., & Bihan, D. L. (2024) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29649
From Brownian motion to the brain connectome: My perspective and historical view of diffusion MRI
Bihan, D. L. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00018-5
Min, K., Chung, S., Lee, S., Lee, J., Toi, P. T., Kim, D., Lee, J. S., & Park, J. (2025) · eLife · doi:10.7554/elife.101642.2
Pérot, J., Hertanu, A., Spencer, A. P. C., Nguyen‐Duc, J., Molochidis, N., Zerbi, V., Yon, M., & Jelescu, I. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.24.666486
Guadilla, I., González, S., Cerdán, S., Lizarbe, B., & López-Larrubia, P. (2024) · Figshare · doi:10.6084/m9.figshare.26581454
Ozturk, B., Monte, B., Koundal, S., Dai, F., Benveniste, H., & Lee, H. (2021) · Figshare · doi:10.6084/m9.figshare.13533253
Ravin, R., Williamson, N. H., Cai, T. X., Gudino, N., & Basser, P. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.30.697003
Yeh, C. H. (2011) · theses.fr (ABES) · doi:10.70675/f4176072zb6bbz4bcaz9910z394786ecf32a · Cited by 1
Metadata
- Authors
- Le Bihan, D., Urayama, S.-I., Aso, T., Hanakawa, T., & Fukuyama, H.
- Affiliations
- Human Brain Research Center, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan;
- Kyoto University (JP)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2006-05-23
- Volume
- 103
- Issue
- 21
- Pages
- 8263-8268
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2134330663
- Cited by
- 272
- References
- 54
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 20 · 2023: 10 · 2022: 9 · 2021: 17 · 2020: 9 · 2019: 8 · 2018: 16 · 2017: 14 · 2016: 13 · 2015: 18 · 2014: 15 · 2013: 15 · 2012: 13
- FWCI
- 13.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- 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
- Physical Sciences › Chemistry › Spectroscopy › NMR spectroscopy and applications
- Keywords
- neuronal activation, diffusion MRI, water diffusion, visual cortex, cortical activation, vascular response, cell swelling, membrane expansion, functional neuroimaging
- MeSH terms
- Adult, Biophysics, Brain, Brain Mapping, Cell Membrane, Female, Humans, Magnetic Resonance Imaging, Male, Neurons, Time Factors, Visual Cortex, Models, Statistical, Diffusion Magnetic Resonance Imaging
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