The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Open accessAbstract
Paramagnetic deoxyhemoglobin in venous blood is a naturally occurring contrast agent for magnetic resonance imaging (MRI). By accentuating the effects of this agent through the use of gradient-echo techniques in high fields, we demonstrate in vivo images of brain microvasculature with image contrast reflecting the blood oxygen level. This blood oxygenation level-dependent (BOLD) contrast follows blood oxygen changes induced by anesthetics, by insulin-induced hypoglycemia, and by inhaled gas mixtures that alter metabolic demand or blood flow. The results suggest that BOLD contrast can be used to provide in vivo real-time maps of blood oxygenation in the brain under normal physiological conditions. BOLD contrast adds an additional feature to magnetic resonance imaging and complements other techniques that are attempting to provide positron emission tomography-like measurements related to regional neural activity.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In conventional fMRI, the BOLD response is elicited by neural activity, which drives flow of oxygen-rich blood (27, 28)”
From Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep (2019) · cites this paper as [27]
In the citing paper
“The most widely used fMRI signal is blood oxygenation level dependent (BOLD) (119) and observable with rapid pulse sequences sensitized to the T2*-weighted contrast (120–122).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [119]
In the citing paper
“This phenomenon is the basis for fMRI (8, 9) and is usually referred to as the blood oxygen level-dependent (BOLD) signal, following Ogawa and colleagues (6).”
From A default mode of brain function (2001) · cites this paper as [6]
In the citing paper
“Because fMRI signal intensity is sensitive to the amount of oxygen carried by hemoglobin (5-7), this change in blood oxygen content at the site of increased brain activity can be detected with fMRI.”
From A default mode of brain function (2001) · cites this paper as [6]
Citations
Cites
Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields
Ogawa, S., Lee, T., Nayak, A. S., & Glynn, P. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140108 · Cited by 2,269
Self-citationPerfusion imaging with NMR contrast agents
Rosen, B. R., Belliveau, J. W., Vevea, J. M., & Brady, T. J. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140211 · Cited by 1,141
Thulborn, K. R., Waterton, J. C., Matthews, P. M., & Radda, G. K. (1982) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/0304-4165(82)90333-6 · Cited by 1,134
NMR chemical shift imaging in three dimensions.
Brown, T. R., Kincaid, B. M., & Uǧurbil, K. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.11.3523 · Cited by 1,045
Frostig, R. D., Lieke, E. E., Ts’o, D. Y., & Grinvald, A. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.16.6082 · Cited by 959
Ogawa, S., & Lee, T. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910160103 · Cited by 565
Self-citationSpatially localized 1H NMR spectra of metabolites in the human brain.
Hanstock, C. C., Rothman, D. L., Prichard, J. W., Jue, T., & Shulman, R. G. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.6.1821 · Cited by 189
Optimizing blood vessel contrast in fast three‐dimensional MRI
Haacke, E. M., Masaryk, T. J., Wielopolski, P. A., Zypman, F. R., Tkach, J. A., Amartur, S. C., Mitchell, J., Clampitt, M. E., & Paschal, C. B. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140207 · Cited by 93
Magnetic resonance imaging of perfusion
Bihan, D. L. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140213 · Cited by 77
Time‐of‐flight effects in MR imaging of flow
Wehrli, F. W. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140205 · Cited by 65
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 1,032
Archip, N., Olivier Clatz, A., Whalen, S., Kacher, D., Fedorov, A., Kot, A., Chrisochoides, N. P., Jolesz, F. A., Golby, A. J., Black, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.060 · Cited by 184
Oxygen‐Sensing Methods in Biomedicine from the Macroscale to the Microscale
Roussakis, E., Li, Z., Nichols, A. J., & Evans, C. L. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201410646 · Cited by 185
Free radicals for cancer theranostics
Wang, X., Wang, W., Peng, M., & Zhang, X. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120474 · Cited by 189
Functional Magnetic Resonance Imaging with Echo Planar Imaging
Kwong, K. K. (1996) · Springer eBooks · doi:10.1007/978-88-470-2194-5_16 · Cited by 184
Brain activity in visual cortex predicts individual differences in reading performance
Demb, J. B., Boynton, G. M., & Heeger, D. J. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.24.13363 · Cited by 183
Kastrup, A., Krüger, G., Neumann‐Haefelin, T., & Moseley, M. E. (2001) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(01)00227-2 · Cited by 182
Functional MRI of the Brain during Orgasm in Women
Komisaruk, B. R., & Whipple, B. (2005) · Annual Review of Sex Research · doi:10.1080/10532528.2005.10559829 · Cited by 181
Somatotopic motor representation in the human anterior cerebellum
Nitschke, M. F., Kleinschmidt, A. K., Wessel, K., & Frahm, J. (1996) · Brain · doi:10.1093/brain/119.3.1023 · Cited by 181
Burton, H., Diamond, J. B., & McDermott, K. B. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00279.2003 · Cited by 184
Farah, M. J., & Wolpe, P. R. (2004) · The Hastings Center Report · doi:10.2307/3528418 · Cited by 178
FUNCTIONAL BRAIN MAPPING AND ITS APPLICATIONS TO NEUROSURGERY
Tharin, S. A., & Golby, A. J. (2007) · Operative Neurosurgery · doi:10.1227/01.neu.0000255386.95464.52 · Cited by 181
Effect of oxygen inhalation on relaxation times in various tissues
Tadamura, E., Hatabu, H., Li, W., Prasad, P. V., & Edelman, R. R. (1997) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880070134 · Cited by 178
Rubia, K., Russell, T. A., Bullmore, E. T., Soni, W., Brammer, M. J., Simmons, A., Taylor, E., Andrew, C., Giampietro, V., & Sharma, T. (2001) · Schizophrenia Research · doi:10.1016/s0920-9964(00)00173-0 · Cited by 177
Reproductive Steroid Regulation of Mood and Behavior
Schiller, C. E., Johnson, S., Abate, A., Schmidt, P. J., & Rubinow, D. R. (2016) · Comprehensive physiology · doi:10.1002/cphy.c150014 · Cited by 224
The role of neuronal signaling in controlling cerebral blood flow
DRAKE, C., & IADECOLA, C. (2007) · Brain and Language · doi:10.1016/j.bandl.2006.08.002 · Cited by 177
Wehrl, H. F., Hossain, M., Lankes, K., Liu, C., Bezrukov, I., Martirosian, P., Schick, F., Reischl, G., & Pichler, B. J. (2013) · Nature Medicine · doi:10.1038/nm.3290 · Cited by 179
Baseline GABA concentration and fMRI response
Donahue, M. J., Near, J., Blicher, J. U., & Jezzard, P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.017 · Cited by 182
Nimsky, C., Ganslandt, O., Kober, H., Möller, M., Stephan, U., Tomandl, B. F., & Fahlbusch, R. (1999) · Neurosurgery · doi:10.1097/00006123-199906000-00044 · Cited by 177
To discard or not to discard: the neural basis of hoarding symptoms in obsessive-compulsive disorder
An, S. K., Mataix‐Cols, D., Lawrence, N., Wooderson, S. C., Giampietro, V., Speckens, A. E. M., Brammer, M. J., & Phillips, M. L. (2008) · Molecular Psychiatry · doi:10.1038/sj.mp.4002129 · Cited by 177
Decoding fMRI brain states in real-time
LaConte, S. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.052 · Cited by 182
Dynamics of brain networks in the aesthetic appreciation
Cela‐Conde, C. J., García-Prieto, J., Ramasco, J. J., Mirasso, C. R., Bajo, R., Munar, E., Flexas, A., del Pozo, F., & Maestú, F. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1302855110 · Cited by 186
Kriegeskorte, N., Cusack, R., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.059 · Cited by 175
Wireless, battery-free optoelectronic systems as subdermal implants for local tissue oximetry
Zhang, H., Gutruf, P., Meacham, K., Montana, M. C., Zhao, X., Chiarelli, A. M., Vázquez‐Guardado, A., Norris, A. J., Lu, L., Guo, Q., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw0873 · Cited by 173
Magnetic resonance temperature imaging
de Senneville, B. D., Quesson, B., & MOONEN, C. T. W. (2005) · International Journal of Hyperthermia · doi:10.1080/02656730500133785 · Cited by 175
Understanding the functional neuroanatomy of acquired prosopagnosia
Sorger, B., Goebel, R., Schiltz, C., & Rossion, B. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.051 · Cited by 175
Krishnan, R., Raabe, A., Hattingen, E., Szelényi, A., Yahya, H., Hermann, E. J., Zimmermann, M., & Seifert, V. (2004) · Neurosurgery · doi:10.1227/01.neu.0000137331.35014.5c · Cited by 174
Negative BOLD in the visual cortex: Evidence against blood stealing
Smith, A. T., Williams, A. L., & Singh, K. D. (2004) · Human Brain Mapping · doi:10.1002/hbm.20017 · Cited by 174
Disbrow, E. A., Slutsky, D. A., Roberts, T. P. L., & Krubitzer, L. A. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.170205497 · Cited by 174
Age-related Reduction in Functional MRI Response to Photic Stimulation
Ross, M. H., Yurgelun-Todd, D. A., Renshaw, P. F., Maas, L. C., Mendelson, J. H., Mello, N. K., Cohen, B., & Levin, J. M. (1997) · Neurology · doi:10.1212/wnl.48.1.173 · Cited by 174
Deciphering laminar-specific neural inputs with line-scanning fMRI
Yu, X., Qian, C., Chen, D.-Y., Dodd, S. J., & Koretsky, A. P. (2013) · Nature Methods · doi:10.1038/nmeth.2730 · Cited by 173
Imaging at ultrahigh magnetic fields: History, challenges, and solutions
Uǧurbil, K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.007 · Cited by 175
The relationship between MEG and fMRI
Hall, E. L., Robson, S. E., Morris, P. G., & Brookes, M. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.005 · Cited by 195
The Use of Magnetic Resonance to Evaluate Tissue Oxygenation in Renal Artery Stenosis
Textor, S. C., Glockner, J. F., Lerman, L. O., Misra, S., McKusick, M. A., Riederer, S. J., Grande, J. P., Gomez, S., & Romero, J. C. (2008) · Journal of the American Society of Nephrology · doi:10.1681/asn.2007040420 · Cited by 172
Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG
He, B., & Liu, Z. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008233 · Cited by 171
Combined imaging–histological study of cortical laminar specificity of fMRI signals
Harel, N., Lin, J., Moeller, S., Uǧurbil, K., & Yacoub, E. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.016 · Cited by 169
Siedentopf, C., Golaszewski, S. M., Mottaghy, F. M., Ruff, C. C., Felber, S. R., & Schlager, A. (2002) · Neuroscience Letters · doi:10.1016/s0304-3940(02)00383-x · Cited by 171
Pain sensation evoked by observing injury in others
Osborn, J., & Derbyshire, S. W. G. (2009) · Pain · doi:10.1016/j.pain.2009.11.007 · Cited by 169
Toosy, A., Ciccarelli, O., Parker, G. J. M., Wheeler‐Kingshott, C. A. M. G., Miller, D. H., & Thompson, A. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.022 · Cited by 172
Imaging of Acute Cerebral Ischemia
Beauchamp, N. J., Barker, P. B., Wang, P. Y., & van Zijl, P. C. M. (1999) · Radiology · doi:10.1148/radiology.212.2.r99au16307 · Cited by 168
Intermittent hypoxia is a key regulator of cancer cell and endothelial cell interplay in tumours
Toffoli, S., & Michiels, C. (2008) · FEBS Journal · doi:10.1111/j.1742-4658.2008.06454.x · Cited by 168
EEG–fMRI integration for the study of human brain function
Jorge, J., van der Zwaag, W., & Figueiredo, P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.114 · Cited by 185
Norris, D. G. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10390 · Cited by 169
Linking brain vascular physiology to hemodynamic response in ultra-high field MRI
Uludaǧ, K., & Blinder, P. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.063 · Cited by 175
Liu, X., Zhu, X.-H., Zhang, Y., & Chen, W. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq105 · Cited by 167
Michael, E. B., Keller, T. A., Carpenter, P. A., & Just, M. A. (2001) · Human Brain Mapping · doi:10.1002/hbm.1036 · Cited by 168
Theory, Instrumentation, and Applications of Electron Paramagnetic Resonance Oximetry
Ahmad, R., & Kuppusamy, P. (2010) · Chemical Reviews · doi:10.1021/cr900396q · Cited by 174
Stimuli‐responsive crosslinked nanomedicine for cancer treatment
Xue, X., Qu, H., & Li, Y. (2022) · Exploration · doi:10.1002/exp.20210134 · Cited by 169
Hu, Y., Chen, X., Gu, H., & Yang, Y. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1973-13.2013 · Cited by 167
Challenges and techniques for presurgical brain mapping with functional MRI
Silva, M. A., See, A. P., Essayed, W. I., Golby, A. J., & Tie, Y. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.12.008 · Cited by 174
Simultaneous cortex-wide fluorescence Ca2+ imaging and whole-brain fMRI
Lake, E. M. R., Ge, X., Shen, X., Hermán, P., Hyder, F., Cardin, J. A., Higley, M. J., Scheinost, D., Papademetris, X., Crair, M. C., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-00984-6 · Cited by 168
Ultra High-Resolution fMRI in Monkeys with Implanted RF Coils
Logothetis, N. K., Merkle, H., Augath, M. A., Trinath, T., & Uǧurbil, K. (2002) · Neuron · doi:10.1016/s0896-6273(02)00775-4 · Cited by 161
The Sensory Somatotopic Map of the Human Hand Demonstrated at 4 Tesla
Maldjian, J. A., Gottschalk, A., Patel, R. S., Detre, J. A., & Alsop, D. C. (1999) · NeuroImage · doi:10.1006/nimg.1999.0448 · Cited by 167
Neural abnormalities during cognitive generation of affect in Treatment-Resistant depression
Kumari, V., Mitterschiffthaler, M. T., Teasdale, J. D., Malhi, G. S., Brown, R. G., Giampietro, V., Brammer, M. J., Poon, L., Simmons, A., Williams, S. C. R., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01785-7 · Cited by 166
Hou, B. L., Bradbury, M. S., Peck, K. K., Petrovich, N. M., Gutin, P. H., & Holodny, A. I. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.04.188 · Cited by 166
Shapiro, M. G., Westmeyer, G. G., Romero, P. A., Szablowski, J. O., Küster, B., Shah, A. T., Otey, C. R., Langer, R., Arnold, F. H., & Jasanoff, A. (2010) · Nature Biotechnology · doi:10.1038/nbt.1609 · Cited by 170
Zhang, T., Wang, Z.-R., Wang, P., Xing, L., Mei, L.-P., & Zhao, J. Y. (2017) · Neural Regeneration Research · doi:10.4103/1673-5374.219043 · Cited by 166
Effects of sleep deprivation on neural functioning: an integrative review
Boonstra, T. W., Stins, J. F., Daffertshofer, A., & Beek, P. J. (2007) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-007-6457-8 · Cited by 181
Electrophysiological correlates of the BOLD signal for EEG-informed fMRI
Murta, T., Leite, M., Carmichael, D. W., Figueiredo, P., & Lemieux, L. (2015) · Human Brain Mapping · doi:10.1002/hbm.22623 · Cited by 165
A new era for functional labeling of neurons: activity-dependent promoters have come of age
Kawashima, T., Okuno, H., & Bito, H. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00037 · Cited by 165
Functional brain imaging of appetite
Dagher, A. (2012) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2012.02.009 · Cited by 171
Fibromyalgia pain and its modulation by hypnotic and non-hypnotic suggestion: an fMRI analysis
Derbyshire, S. W. G., Whalley, M. G., & Oakley, D. A. (2009) · European Journal of Pain · doi:10.1016/j.ejpain.2008.06.010 · Cited by 165
Neural response to pleasant stimuli in anhedonia: an fMRI study
Mitterschiffthaler, M. T., Kumari, V., Malhi, G. S., Brown, R. G., Giampietro, V. P., Brammer, M. J., Suckling, J., Poon, L., Simmons, A., Andrew, C., et al. (2003) · NeuroReport · doi:10.1097/00001756-200302100-00003 · Cited by 162
Vecchiato, G., Maglione, A. G., Cherubino, P., Wasikowska, B., Wawrzyniak, A., Latuszynska, A., Latuszynska, M., Nermend, K., Graziani, I., Leucci, M. R., et al. (2014) · Computational and Mathematical Methods in Medicine · doi:10.1155/2014/912981 · Cited by 164
Interoception Drives Increased Rational Decision-Making in Meditators Playing the Ultimatum Game
Kirk, U., Downar, J. H., & Montague, P. R. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00049 · Cited by 178
Functional Magnetic Resonance Imaging
Matthews, P. M., & Jezzard, P. (2006) · IMPERIAL COLLEGE PRESS eBooks · doi:10.1142/9781860948961_0015 · Cited by 166
Blockley, N. P., Griffeth, V. E. M., Simon, A. B., & Buxton, R. B. (2012) · NMR in Biomedicine · doi:10.1002/nbm.2847 · Cited by 164
Diwadkar, V. A., Carpenter, P. A., & Just, M. A. (2000) · NeuroImage · doi:10.1006/nimg.2000.0586 · Cited by 165
Energy metabolism in the brain
Hertz, L., & Dienel, G. A. (2002) · International review of neurobiology · doi:10.1016/s0074-7742(02)51003-5 · Cited by 165
Rasmussen, I.-A., Lindseth, F., Rygh, O. M., Berntsen, E. M., Selbekk, T., Xu, J., Hernes, T. A. N., Harg, E., Haberg, A. K., & Unsgaard, G. (2007) · Acta Neurochirurgica · doi:10.1007/s00701-006-1110-0 · Cited by 163
Imagined Viewer and Object Rotations Dissociated with Event-Related fMRI
Zacks, J. M., Vettel, J. M., & Michelon, P. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903770007399 · Cited by 163
Altered Hemodynamic Responses in Patients After Subcortical Stroke Measured by Functional MRI
Pineiro, R., Pendlebury, S. T., Johansen‐Berg, H., & Matthews, P. M. (2002) · Stroke · doi:10.1161/hs0102.100482 · Cited by 159
Park, K., Seo, J., Kang, H., Ryu, S., Kim, H., & Jeong, G. (2001) · International Journal of Impotence Research · doi:10.1038/sj.ijir.3900649 · Cited by 162
Mangia, S., Giove, F., Tkáč, I., Logothetis, N. K., Henry, P.-G., Olman, C. A., Maraviglia, B., Di Salle, F., & Uğurbil, K. (2009) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2008.134 · Cited by 161
Clinical efficacy and potential mechanisms of neurofeedback
Niv, S. (2013) · Personality and Individual Differences · doi:10.1016/j.paid.2012.11.037 · Cited by 161
Pain, F., L’Heureux, B., & Gurden, H. (2011) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-011-0708-4 · Cited by 162
A signal transformational framework for breaking the noise floor and its applications in MRI
Koay, C. G., Özarslan, E., & Basser, P. J. (2008) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2008.11.015 · Cited by 160
Energy Metabolism of the Brain
McKenna, M. C., Dienel, G. A., Sonnewald, U., Waagepetersen, H. S., & Schousboe, A. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-374947-5.00011-0 · Cited by 161
Maldjian, J. A., Atlas, S. W., Howard, R. S., Greenstein, E., Alsop, D. C., Detre, J. A., Listerud, J., D’Esposito, M., & Flamm, E. S. (1996) · Journal of neurosurgery · doi:10.3171/jns.1996.84.3.0477 · Cited by 160
Real time in vivo non-invasive optical imaging using near-infrared fluorescent quantum dots1
Morgan, N. Y., English, S. J., Chen, W., Chernomordik, V., Russo, A., Smith, P. D., & Gandjbakhche, A. (2005) · Academic Radiology · doi:10.1016/j.acra.2004.04.023 · Cited by 159
Functional MRI of the pre-ictal state
Federico, P., Abbott, D. F., Briellmann, R. S., Harvey, A. S., & Jackson, G. D. (2005) · Brain · doi:10.1093/brain/awh533 · Cited by 158
Kumari, V., Gray, J. A., Geyer, M. A., Ffytche, D. H., Soni, W., Mitterschiffthaler, M. T., Vythelingum, G. N., Simmons, A., Williams, S., & Sharma, T. (2003) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(02)00123-3 · Cited by 159
Cortical Substrates for the Perception of Dyspnea
von Leupoldt, A., & Dahme, B. (2005) · CHEST Journal · doi:10.1378/chest.128.1.345 · Cited by 156
A functional MRI study on the neural substrates for writing
Katanoda, K., Yoshikawa, K., & Sugishita, M. (2001) · Human Brain Mapping · doi:10.1002/hbm.1023 · Cited by 159
Lauritzen, M., Mathiesen, C., Schaefer, K., & Thomsen, K. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.040 · Cited by 167
Starr, C. J., Sawaki, L. A., Wittenberg, G. F., Burdette, J. H., Oshiro, Y., de Quevedo, A. S., McHaffie, J. G., & Coghill, R. C. (2011) · Brain · doi:10.1093/brain/awr117 · Cited by 161
Investigations on empathy towards humans and robots using fMRI
Rosenthal-von der Pütten, A. M., Schulte, F. P., Eimler, S. C., Sobieraj, S., Hoffmann, L., Maderwald, S., Brand, M., & Krämer, N. C. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.01.004 · Cited by 148
Endo, T., Spenger, C., Tominaga, T., Brené, S., & Olson, L. (2007) · Brain · doi:10.1093/brain/awm237 · Cited by 157
Motor response suppression and the prepotent tendency to respond: a parametric fMRI study
de Zubicaray, G. I., Andrew, C., Zelaya, F. O., Williams, S., & Dumanoir, C. (2000) · Neuropsychologia · doi:10.1016/s0028-3932(00)00033-6 · Cited by 156
The interplay of customer experience and commitment
Keiningham, T., Ball, J., Benoit (née Moeller), S., Bruce, H. L., Buoye, A., Dzenkovska, J., Nasr, L., Ou, Y.-C., & Zaki, M. (2017) · Journal of Services Marketing · doi:10.1108/jsm-09-2016-0337 · Cited by 156
Barbier, E., Marrett, S., Danek, A., Vortmeyer, A. O., van Gelderen, P., Duyn, J. H., Bandettini, P. A., Grafman, J. H., & Koretsky, A. P. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10255 · Cited by 156
Mullinger, K. J., Mayhew, S. D., Bagshaw, A. P., Bowtell, R. W., & Francis, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.029 · Cited by 165
Dienel, G. A., & Cruz, N. F. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13630 · Cited by 155
A Replication Study of the Neural Correlates of Deception.
Kozel, F. A., Padgett, T. M., & George, M. S. (2004) · Behavioral Neuroscience · doi:10.1037/0735-7044.118.4.852 · Cited by 154
A NIRS–fMRI study of resting state network
Sasai, S., Homae, F., Watanabe, H., Sasaki, A. T., Tanabe, H. C., Sadato, N., & Taga, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.011 · Cited by 162
Structural and functional MRI reveals multiple retinal layers
Cheng, H., Nair, G., Walker, T. A., Kim, M., Pardue, M. T., Thulé, P. M., Olson, D. E., & Duong, T. Q. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605790103 · Cited by 154
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts
Zhang, H., Shen, D. G., & Lin, W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.004 · Cited by 167
Kircher, T. T. J., Liddle, P. F., Brammer, M. J., Williams, S., Murray, R. M., & McGuire, P. K. (2002) · Psychological Medicine · doi:10.1017/s0033291702005287 · Cited by 155
Functional significance of age-related differences in motor activation patterns
Riecker, A., Gröschel, K., Ackermann, H., Steinbrink, C., Witte, O. W., & Kastrup, A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.021 · Cited by 153
Patel, A. B., de Graaf, R. A., Mason, G. F., Kanamatsu, T., Rothman, D. L., Shulman, R. G., & Behar, K. L. (2004) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000126234.16188.71 · Cited by 153
Hendrich, K. S., Kochanek, P. M., Melick, J. A., Schiding, J. K., Statler, K. D., Williams, D. S., Marion, D. W., & Ho, C. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1178 · Cited by 153
Metadata
- Authors
- Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W.
- Affiliations
- AT&T (United States) (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 1990-12
- Volume
- 87
- Issue
- 24
- Pages
- 9868-9872
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC55275
- OpenAlex
- W2071714163
- Cited by
- 6,483
- References
- 12
- Citations by year
- 2026: 148 · 2025: 212 · 2024: 190 · 2023: 189 · 2022: 228 · 2021: 272 · 2020: 242 · 2019: 279 · 2018: 249 · 2017: 272 · 2016: 262 · 2015: 281 · 2014: 283 · 2013: 302 · 2012: 289
- FWCI
- 8.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- 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
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Keywords
- blood oxygenation level-dependent contrast, BOLD MRI, deoxyhemoglobin, cerebral microvasculature, gradient echo MRI, high-field MRI, anesthetic agents, insulin-induced hypoglycemia, functional MRI
- MeSH terms
- Animals, Blood Flow Velocity, Brain, Carbon Dioxide, Cerebrovascular Circulation, Female, Hemoglobins, Hypoglycemia, Kinetics, Magnetic Resonance Imaging, Models, Neurological, Oxygen, Rats, Inbred Strains, Rats
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