The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The nature of spatiotemporal changes in cerebral hemodynamics as manifested in functional magnetic resonance imaging
Abstract
The nature of changes in rapidly acquired magnetic resonance images of the brain was studied by using a denoising method and spectral techniques optimally suited to short time series. It was found that the stimulus related changes have a complex spatiotemporal structure even for simple visual stimuli. Apart from a low frequency window, the non‐stimulusrelated changes were found to correspond in detail to either breathing or heartbeat, although these two sources show different patterns of spatial coherence in the image. At low frequencies, oscillations with frequencies around 0.1 Hz were observed, also with nontrivial space‐time structure, which are likely to be vasomotor in origin.
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
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
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
Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - I
Slepian, D., & Pollak, H. O. (1961) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1961.tb03976.x · Cited by 2,492
Cited by
Uğurbil, K., Xu, J., Auerbach, E. J., Moeller, S., Vu, A. T., Duarte-Carvajalino, J. M., Lenglet, C., Wu, X., Schmitter, S., Van de Moortele, P. F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812
Self-citationKleinfeld, D., Mitra, P. P., Helmchen, F., & Denk, W. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.26.15741 · Cited by 832
Self-citationHorovitz, S. G., Fukunaga, M., de Zwart, J. A., van Gelderen, P., Fulton, S. C., Balkin, T. J., & Duyn, J. H. (2008) · Human Brain Mapping · doi:10.1002/hbm.20428 · Cited by 616
Biophysical and Physiological Origins of Blood Oxygenation Level-Dependent fMRI Signals
Kim, S.-G., & Ogawa, S. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.23 · Cited by 547
Self-citationImaging brain function in humans at 7 Tesla
Yacoub, E., Shmuel, A., Pfeuffer, J., Van De Moortele, P., Adriany, G., Andersen, P., Vaughan, J. T., Merkle, H., Ugurbil, K., & Hu, X. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1080 · Cited by 448
Self-citation
Metadata
- Authors
- Mitra, P. P., Ogawa, S., Hu, X., & Uǧurbil, K.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1997-04
- Volume
- 37
- Issue
- 4
- Pages
- 511-518
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2043298666
- Cited by
- 185
- References
- 3
- FWCI
- 8.69
- Type
- journal article
- Language
- en
- Open access
- closed
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 nature of spatiotemporal changes in cerebral hemodynamics as manifested in functional magnetic resonance imaging. https://app.cochat.ai/papers/10.1002/mrm.1910370407
- The paper
- Mitra, P. P., Ogawa, S., Hu, X., & Uǧurbil, K. (1997). The nature of spatiotemporal changes in cerebral hemodynamics as manifested in functional magnetic resonance imaging. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910370407
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.
