Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI
Open accessAbstract
Parallel imaging in the form of multiband radiofrequency excitation, together with reduced k-space coverage in the phase-encode direction, was applied to human gradient echo functional MRI at 7 T for increased volumetric coverage and concurrent high spatial and temporal resolution. Echo planar imaging with simultaneous acquisition of four coronal slices separated by 44mm and simultaneous 4-fold phase-encoding undersampling, resulting in 16-fold acceleration and up to 16-fold maximal aliasing, was investigated. Task/stimulus-induced signal changes and temporal signal behavior under basal conditions were comparable for multiband and standard single-band excitation and longer pulse repetition times. Robust, whole-brain functional mapping at 7 T, with 2 x 2 x 2mm(3) (pulse repetition time 1.25 sec) and 1 x 1 x 2mm(3) (pulse repetition time 1.5 sec) resolutions, covering fields of view of 256 x 256 x 176 mm(3) and 192 x 172 x 176 mm(3), respectively, was demonstrated with current gradient performance.
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?
Multiband accelerated EPI enables major improvements in spatial and/or temporal resolution, for example acquiring data with 2mm spatial resolution in less than a second.
““multiband accelerated EPI” acquires multiple slices simultaneously [39, 40]. Such approaches enable major improvements in spatial and/or temporal resolution, for example acquiring data with 2mm spatial resolution in less than a second.”
From Functional connectomics from resting-state fMRI (2013) · cites this paper as [39]
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
Generalized autocalibrating partially parallel acquisitions (GRAPPA)
Griswold, M. A., Jakob, P. M., Heidemann, R. M., Nittka, M., Jellús̆, V., Wang, J., Kiefer, B., & Haase, A. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10171 · Cited by 5,311 · see citing works
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 · see citing works
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 · see citing works
7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images
Vaughan, J. T., Garwood, M., Collins, C. M., Liu, W., DelaBarre, L., Adriany, G., Andersen, P., Merkle, H., Goebel, R., Smith, M. B., et al. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1156 · Cited by 890 · see citing works
High-field fMRI unveils orientation columns in humans
Yacoub, E. S., Harel, N., & Uǧurbil, K. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804110105 · Cited by 564 · see citing works
Self-citationUludağ, K., Müller-Bierl, B., & Uğurbil, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.051 · Cited by 450 · see citing works
Self-citationControlled aliasing in volumetric parallel imaging (2D CAIPIRINHA)
Breuer, F., Blaimer, M., Mueller, M. F., et al. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20787 · Cited by 416 · see citing works
Yacoub, E. S., Shmuel, A., Logothetis, N. K., & Uǧurbil, K. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.020 · Cited by 305 · see citing works
Self-citationElectrodynamics and ultimate SNR in parallel MR imaging
Wiesinger, F., Boesiger, P., & Pruessmann, K. P. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20183 · Cited by 283 · see citing works
Image reconstruction for echo planar imaging with nonequidistant k‐space sampling
Bruder, H., Fischer, H., Reinfelder, H.-E., & Schmitt, F. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910230211 · Cited by 268 · see citing works
Ultrahigh field magnetic resonance imaging and spectroscopy
Uǧurbil, K., Adriany, G., Andersen, P. M., Chen, W., Garwood, M., Rolf Gruetter, A., Henry, P.-G., Kim, S., Lieu, H., Tkáč, I., et al. (2003) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2003.08.027 · Cited by 252 · see citing works
Self-citationUltimate intrinsic signal‐to‐noise ratio for parallel MRI: Electromagnetic field considerations
Ohliger, M. A., Grant, A. K., & Sodickson, D. K. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10597 · Cited by 238 · see citing works
General formulation for quantitative G‐factor calculation in GRAPPA reconstructions
Breuer, F., Kannengießer, S., Blaimer, M., Seiberlich, N., Jakob, P. M., & Griswold, M. A. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22066 · Cited by 218 · see citing works
Pfeuffer, J., de Moortele, P. V., Uǧurbil, K., Hu, X. P., & Glover, G. H. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10065 · Cited by 216 · see citing works
Self-citationWiesinger, F., de Moortele, P. V., Adriany, G., Zanche, N. D., Uǧurbil, K., & Pruessmann, K. P. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20281 · Cited by 198 · see citing works
Self-citationAdriany, G., de Moortele, P. V., Ritter, J., et al. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21488 · Cited by 198 · see citing works
Water diffusion, T2, and compartmentation in frog sciatic nerve
Peled, S., Cory, D. G., Raymond, S. A., Kirschner, D. A., & Jolesz, F. A. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5 · Cited by 189 · see citing works
Flament, D., Ellermann, J. M., Kim, S.-G., Uǧurbil, K., & Ebner, T. J. (1996) · Human Brain Mapping · doi:10.1002/hbm.460040302 · Cited by 140 · see citing works
Self-citationPotential and feasibility of parallel MRI at high field
Wiesinger, F., de Moortele, P. V., Adriany, G., et al. (2006) · NMR in Biomedicine · doi:10.1002/nbm.1050 · Cited by 125 · see citing works
Liu, C., Moseley, M. E., & Bammer, R. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20706 · Cited by 121 · see citing works
2D‐GRAPPA‐operator for faster 3D parallel MRI
Blaimer, M., Breuer, F., Mueller, M. F., et al. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21071 · Cited by 92 · see citing works
Accelerated volumetric MRI with a SENSE/GRAPPA combination
Blaimer, M., Breuer, F., Seiberlich, N., Mueller, M. F., Heidemann, R. M., Jellús̆, V., Wiggins, G. C., Wald, L. L., Griswold, M. A., & Jakob, P. M. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20632 · Cited by 79 · see citing works
Activation of Visuomotor Systems during Visually Guided Movements: A Functional MRI Study
Ellermann, J., Siegal, J. D., Strupp, J., Ebner, T. J., & Uǧurbil, K. (1998) · Journal of Magnetic Resonance · doi:10.1006/jmre.1998.1379 · Cited by 72 · see citing works
Self-citationAccelerated parallel imaging for functional imaging of the human brain
de Zwart, J. A., van Gelderen, P., Golay, X., Ikonomidou, V. N., & Duyn, J. H. (2006) · NMR in Biomedicine · doi:10.1002/nbm.1043 · Cited by 63 · see citing works
High temporal resolution functional MRI using parallel echo volumar imaging
Rabrait‐Lerman, C., Ciuciu, P., Ribés, A., Poupon, C., Leroux, P., Dehaene‐Lambertz, G., Bihan, D. L., & Lethimonnier, F. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21329 · Cited by 51 · see citing works
Application of parallel imaging to fMRI at 7 Tesla utilizing a high 1D reduction factor
Moeller, S., de Moortele, P. V., Goerke, U., et al. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20934 · Cited by 36 · see citing works
Self-citationLocalized echo‐volume imaging methods for functional MRI
Yang, Y., Mattay, V. S., Weinberger, D. R., Frank, J. A., & Duyn, J. H. (1997) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880070220 · Cited by 32 · see citing works
High Magnetic Fields for Imaging Cerebral Morphology, Function, and Biochemistry
Uǧurbil, K., Adriany, G., Akgun, C. E., Andersen, P. M., Chen, W., Garwood, M., Rolf Gruetter, A., Henry, P., Marjańska, M., Moeller, S., et al. (2006) · Biological magnetic resonance · doi:10.1007/978-0-387-49648-1_10 · Cited by 13 · see citing works
Self-citationLarkman (2001) · doi:10.1002/1522-2586(200102)13:2
Flagged first, then by citations
Cited by
Sorted by citations
The WU-Minn Human Connectome Project: An overview
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.041 · Cited by 5,651 · see citing works
Self-citationDynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962 · see citing works
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992 · see citing works
Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., Bartsch, A. J., Jbabdi, S., Sotiropoulos, S. N., Andersson, J. L. R., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4393 · Cited by 2,020 · see citing works
Salimi-Khorshidi, G., Douaud, G., Beckmann, C. F., Glasser, M. F., Griffanti, L., & Smith, S. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.046 · Cited by 1,770 · see citing works
Function in the human connectome: task-fMRI and individual differences in behavior
Barch, D. M., Burgess, G. C., Harms, M. P., Petersen, S. E., Schlaggar, B. L., Corbetta, M., Glasser, M. F., Curtiss, S., Dixit, S., Feldt, C., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.033 · Cited by 1,529 · see citing works
Resting-state fMRI in the human connectome project
Smith, S. M., Beckmann, C. F., Andersson, J., Auerbach, E. J., Bijsterbosch, J., Douaud, G., Duff, E., Feinberg, D. A., Griffanti, L., Harms, M. P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.039 · Cited by 1,502 · see citing works
Self-citationMultiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging
Feinberg, D. A., Moeller, S., Smith, S. M., Auerbach, E., Ramanna, S., Glasser, M. F., Miller, K. L., Ugurbil, K., & Yacoub, E. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015710 · Cited by 1,296 · see citing works
Self-citationSetsompop, K., Gagoski, B. A., Polimeni, J. R., Witzel, T., Wedeen, V. J., & Wald, L. L. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23097 · Cited by 1,285 · see citing works
The Human Connectome Project's neuroimaging approach
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4361 · Cited by 1,090 · see citing works
Self-citationFunctional system and areal organization of a highly sampled individual human brain
Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M.-Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U. F., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.037 · Cited by 911 · see citing works
Functional connectomics from resting-state fMRI
Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.016 · Cited by 952 · see citing works
Self-citationUğurbil, 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 · see citing works
Self-citationMSM: a new flexible framework for Multimodal Surface Matching
Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., Smith, S. M., Van Essen, D. C., & Jenkinson, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.069 · Cited by 640 · see citing works
Temporally-independent functional modes of spontaneous brain activity
Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., Beckmann, C. F., Jenkinson, M., Andersson, J., Glasser, M. F., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121329109 · Cited by 702 · see citing works
Self-citationResting-state fMRI confounds and cleanup
Murphy, K., Birn, R. M., & Bandettini, P. A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.001 · Cited by 666 · see citing works
Methods for cleaning the BOLD fMRI signal
Caballero-Gaudes, C., & Reynolds, R. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.018 · Cited by 542 · see citing works
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project
Setsompop, K., Kimmlingen, R., Eberlein, E., Witzel, T., Cohen-Adad, J., McNab, J. A., Keil, B., Tisdall, M. D., Hoecht, P., Dietz, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.078 · Cited by 545 · see citing works
Functional gradients of the cerebellum
Guell, X., Schmahmann, J. D., Gabrieli, J. D., & Ghosh, S. S. (2018) · eLife · doi:10.7554/elife.36652 · Cited by 472 · see citing works
Imaging human connectomes at the macroscale
Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P. (2013) · Nature Methods · doi:10.1038/nmeth.2482 · Cited by 419 · see citing works
Diffusion tensor imaging for understanding brain development in early life
Qiu, A., Mori, S., & Miller, M. I. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015340 · Cited by 238 · see citing works
Ball and rackets: inferring fiber fanning from diffusion-weighted MRI
Sotiropoulos, S. N., Behrens, T. E. J., & Jbabdi, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.056 · Cited by 156 · see citing works
Exploring the Early Organization and Maturation of Linguistic Pathways in the Human Infant Brain
Dubois, J., Poupon, C., Thirion, B., Simonnet, H., Kulikova, S., Leroy, F., Hertz-Pannier, L., & Dehaene-Lambertz, G. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv082 · Cited by 165 · see citing works
Changing value through cued approach: an automatic mechanism of behavior change
Schonberg, T., Bakkour, A., Hover, A. M., Mumford, J. A., Nagar, L., Perez, J., & Poldrack, R. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3673 · Cited by 161 · see citing works
Brain networks for confidence weighting and hierarchical inference during probabilistic learning
Meyniel, F., & Dehaene, S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1615773114 · Cited by 138 · see citing works
A hemodynamic model for layered BOLD signals
Heinzle, J., Koopmans, P. J., den Ouden, H. E. M., Raman, S., & Stephan, K. E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.025 · Cited by 144 · see citing works
Meta-analysis of human prediction error for incentives, perception, cognition, and action
Corlett, P. R., Mollick, J. A., & Kober, H. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01264-3 · Cited by 135 · see citing works
Neural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking
Madore, K. P., Thakral, P. P., Beaty, R. E., Addis, D. R., & Schacter, D. L. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhx312 · Cited by 137 · see citing works
Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity
Tardif, C. L., Gauthier, C. J., Steele, C. J., Bazin, P.-L., Schäfer, A., Schaefer, A., Turner, R., & Villringer, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.047 · Cited by 127 · see citing works
Validation of tractography: Comparison with manganese tracing
Knösche, T. R., Anwander, A., Liptrot, M., & Dyrby, T. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.22902 · Cited by 127 · see citing works
A shift in perspective: Decentering through mindful attention to imagined stressful events
Lebois, L. A. M., Papies, E. K., Gopinath, K., Cabanban, R., Quigley, K. S., Krishnamurthy, V., Barrett, L. F., & Barsalou, L. W. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.05.030 · Cited by 114 · see citing works
White matter maturation is associated with the emergence of Theory of Mind in early childhood
Grosse Wiesmann, C., Schreiber, J., Singer, T., Steinbeis, N., & Friederici, A. D. (2017) · Nature Communications · doi:10.1038/ncomms14692 · Cited by 114 · see citing works
Faull, O. K., & Pattinson, K. T. (2017) · eLife · doi:10.7554/elife.21749 · Cited by 110 · see citing works
Nguyen, T. T., Kovacevic, S., Dev, S. I., Lu, K., Liu, T. T., & Eyler, L. T. (2017) · Neuropsychology · doi:10.1037/neu0000317 · Cited by 109 · see citing works
Madore, K. P., Szpunar, K. K., Addis, D. R., & Schacter, D. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612278113 · Cited by 104 · see citing works
Eklund, A., Knutsson, H., & Nichols, T. E. (2019) · Human Brain Mapping · doi:10.1002/hbm.24350 · Cited by 82 · see citing works
Core Network Contributions to Remembering the Past, Imagining the Future, and Thinking Creatively
Beaty, R. E., Thakral, P. P., Madore, K. P., Benedek, M., & Schacter, D. L. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01327 · Cited by 84 · see citing works
The neurocognitive correlates of brain entropy estimated by resting state fMRI
Wang, Z. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117893 · Cited by 77 · see citing works
Aydogan, D. B., Jacobs, R., Dulawa, S., Thompson, S. L., Francois, M. C., Toga, A. W., Dong, H., Knowles, J. A., & Shi, Y. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1663-8 · Cited by 72 · see citing works
Disruption of neurite morphology parallels MS progression
Spanò, B., Giulietti, G., Pisani, V., Morreale, M., Tuzzi, E., Nocentini, U., Francia, A., Caltagirone, C., Bozzali, M., & Cercignani, M. (2018) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000502 · Cited by 58 · see citing works
De Santis, S., Bastiani, M., Droby, A., Kolber, P., Zipp, F., Pracht, E., Stoecker, T., Groppa, S., & Roebroeck, A. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2018.03.048 · Cited by 56 · see citing works
Fiber length profiling: a novel approach to structural brain organization
Bajada, C. J., Schreiber, J., & Caspers, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.070 · Cited by 55 · see citing works
Bernstein, G. A., Mueller, B. A., Schreiner, M. W., Campbell, S. M., Regan, E. K., Nelson, P. M., Houri, A. K., Lee, S. S., Zagoloff, A. D., Lim, K. O., et al. (2016) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.11.002 · Cited by 49 · see citing works
“Psychiatry Research: Neuroimaging (2015), http Human Connectome Project (HCP) to enable collection of fMRI data at much higher temporal and spatial resolution than has been standard (Feinberg et al., 2010; Moeller et al., 2010).”
BackgroundMethodSelf-citationSystems Neuroengineering: Understanding and Interacting with the Brain
Edelman, B. J., Johnson, N., Sohrabpour, A., Tong, S., Thakor, N., & He, B. (2015) · Engineering · doi:10.15302/j-eng-2015078 · Cited by 45 · see citing works
Thakral, P. P., Benoit, R. G., & Schacter, D. L. (2017) · Cortex · doi:10.1016/j.cortex.2017.02.005 · Cited by 39 · see citing works
Suppression weakens unwanted memories via a sustained reduction of neural reactivation
Meyer, A.-K., & Benoit, R. G. (2022) · eLife · doi:10.7554/elife.71309 · Cited by 27 · see citing works
Anhedonia modulates the effects of positive mood induction on reward-related brain activation
Green, I. W., Pizzagalli, D. A., Admon, R., & Kumar, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.063 · Cited by 23 · see citing works
Visual temporal frequency preference shows a distinct cortical architecture using fMRI
Chai, Y., Handwerker, D. A., Marrett, S., Gonzalez-Castillo, J., Merriam, E. P., Hall, A., Molfese, P. J., & Bandettini, P. A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.048 · Cited by 22 · see citing works
GPU acceleration of nonlinear diffusion tensor estimation using CUDA and MPI
Chang, L.-C., El-Araby, E., Dang, V. Q., & Dao, L. H. (2014) · Neurocomputing · doi:10.1016/j.neucom.2013.12.035 · Cited by 15 · see citing works
Midbrain fMRI: Applications, Limitations and Challenges
Düzel, E., Guitart-Masip, M., Maass, A., Hämmerer, D., Betts, M. J., Speck, O., Weiskopf, N., & Kanowski, M. (2015) · Biological Magnetic Resonance · doi:10.1007/978-1-4899-7591-1_20 · Cited by 16 · see citing works
Sumiya, M., Koike, T., Okazaki, S., Kitada, R., & Sadato, N. (2017) · Neuroscience Research · doi:10.1016/j.neures.2017.04.015 · Cited by 13 · see citing works
Neural Representations of the Committed Romantic Partner in the Nucleus Accumbens
Ueda, R., & Abe, N. (2021) · Psychological Science · doi:10.1177/09567976211021854 · Cited by 12 · see citing works
Gehrt, T. B., Macoveanu, J., Bailey, C. J., Fisher, P. M., Pallesen, K. J., & Frostholm, L. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.12.138 · Cited by 8 · see citing works
- Authors
- Moeller, S., Yacoub, E., Olman, C. A., Auerbach, E., Strupp, J., Harel, N., & Uğurbil, K.
- Affiliations
- University of Minnesota (US)
- Corresponding author
- Moeller, Steen
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2010-04-23
- Volume
- 63
- Issue
- 5
- Pages
- 1144-1153
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC2906244
- OpenAlex
- W1974508089
- Cited by
- 1,586
- References
- 29
- Citations by year
- 2026: 106 · 2025: 121 · 2024: 117 · 2023: 105 · 2022: 132 · 2021: 157 · 2020: 122 · 2019: 119 · 2018: 120 · 2017: 131 · 2016: 106 · 2015: 87 · 2014: 68 · 2013: 53 · 2012: 21
- FWCI
- 23.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- W. M. Keck Foundation
- National Institute of Mental Health (R01MH070800)
- National Cancer Institute (R01CA076535, CA 76535)
- National Institute of Neurological Disorders and Stroke (P30NS057091)
- National Institute of Biomedical Imaging and Bioengineering (R01EB008645, EB 000513, R01EB000513, R01EB007327, R01EB006835, R01EB000331, R44EB005139)
- National Center for Research Resources (P41RR008079, P41RR08079)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- multiband excitation, gradient-echo EPI, parallel imaging, 7T MRI, whole-brain fMRI, high spatial resolution, high temporal resolution
- MeSH terms
- Algorithms, Brain, Brain Mapping, Evoked Potentials, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Sensitivity and Specificity, Reproducibility of Results, Imaging, Three-Dimensional
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