The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
The future of ultra-high field MRI and fMRI for study of the human brain
Open accessAbstract
MRI and fMRI have been used for about three and two decades respectively and much has changed over this time period, both in the quality of the data and in the range of applications for studying the brain. Apart from resolution improvements from around 4 mm in the early days to below 0.5 mm with modern technology, novel uses of contrast have led to the ability to sensitize images to some of the brain’s structural properties at the cellular scale as well as study the localization and organization of brain function at the level of cortical columns. These developments have in part been facilitated by a continuing drive to increase the magnetic field strength. Will the next few decades see similar improvements? Here we will discuss current state of high field MRI, expected further increases in field strength, and improvements expected with these increases.
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.
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
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
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
Nanoscale imaging magnetometry with diamond spins under ambient conditions
Balasubramanian, G., Chan, I. Y., Kolesov, R., Al-Hmoud, M., Tisler, J., Shin, C., Kim, C., Wojcik, A., Hemmer, P. R., Krueger, A., et al. (2008) · Nature · doi:10.1038/nature07278 · Cited by 1,999
Nanoscale magnetic sensing with an individual electronic spin in diamond
Maze, J. R., Stanwix, P. L., Hodges, J. S., Hong, S., Taylor, J. M., Cappellaro, P., Jiang, L., Dutt, M. V. G., Togan, E., Zibrov, A. S., et al. (2008) · Nature · doi:10.1038/nature07279 · Cited by 1,984
Time course EPI of human brain function during task activation
Bandettini, P. A., Wong, E. C., Hinks, R. S., Tikofsky, R. S., & Hyde, J. S. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910250220 · Cited by 1,935
A subfemtotesla multichannel atomic magnetometer
Kominis, I. K., Kornack, T. W., Allred, J. C., & Romalis, M. V. (2003) · Nature · doi:10.1038/nature01484 · Cited by 1,631
Birn, R. M., Diamond, J. B., Smith, M. A., & Bandettini, P. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.048 · Cited by 1,358
Biological magnetic resonance imaging using laser-polarized 129Xe
Albert, M. S., Cates, G. D., Driehuys, B., Happer, W., Saam, B., Springer, C. S., & Wishnia, A. (1994) · Nature · doi:10.1038/370199a0 · Cited by 1,050
Cited by
The role of iron in brain ageing and neurodegenerative disorders
Ward, R. J., Zucca, F. A., Duyn, J. H., Crichton, R. R., & Zecca, L. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70117-6 · Cited by 1,819
Self-citationImaging suicidal thoughts and behaviors: a comprehensive review of 2 decades of neuroimaging studies
Schmaal, L., van Harmelen, A.-L., Chatzi, V., Lippard, E. T. C., Toenders, Y. J., Averill, L. A., Mazure, C. M., & Blumberg, H. P. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0587-x · Cited by 373
Identification of discrete functional subregions of the human periaqueductal gray
Satpute, A. B., Wager, T. D., Cohen-Adad, J., Bianciardi, M., Choi, J.-K., Buhle, J. T., Wald, L. L., & Barrett, L. F. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1306095110 · Cited by 131
Duyn, J. (2013) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2012.11.013 · Cited by 95
Self-citationAn anterior-posterior gradient of cognitive control within the dorsomedial striatum
Mestres-Missé, A., Turner, R., & Friederici, A. D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.021 · Cited by 91
Metadata
- Authors
- Duyn, J. H.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 62
- Issue
- 2
- Pages
- 1241-1248
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2027217716
- Cited by
- 261
- References
- 95
- FWCI
- 9.42
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The future of ultra-high field MRI and fMRI for study of the human brain. https://app.cochat.ai/papers/10.1016/j.neuroimage.2011.10.065
- The paper
- Duyn, J. H. (2012). The future of ultra-high field MRI and fMRI for study of the human brain. NeuroImage. https://doi.org/10.1016/j.neuroimage.2011.10.065
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
