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Neuronal basis of contrast discrimination
Open accessAbstract
Psychophysical contrast increment thresholds were compared with neuronal responses, inferred from functional magnetic resonance imaging (fMRI) to test the hypothesis that contrast discrimination judgements are limited by neuronal signals in early visual cortical areas. FMRI was used to measure human brain activity as a function of stimulus contrast, in each of several identifiable visual cortical areas. Contrast increment thresholds were measured for the same stimuli across a range of baseline contrasts using a temporal 2AFC paradigm. FMRI responses and psychophysical measurements were compared by assuming that: (1) fMRI responses are proportional to local average neuronal activity; (2) subjects choose the stimulus interval that evoked the greater average neuronal activity; and (3) variability in the observer's psychophysical judgements was due to additive (IID) noise. With these assumptions, FMRI responses in visual areas V1, V2d, V3d and V3A were found to be consistent with the psychophysical judgements, i.e. a contrast increment was detected when the fMRI responses in each of these brain areas increased by a criterion amount. Thus, the pooled activity of large numbers of neurons can reasonably well predict behavioral performance. The data also suggest that contrast gain in early visual cortex depends systematically on spatial frequency.
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“Indeed, several studies have found good agreement between the population-level responses of gain-modulated neurons (such as the population-average contrast response function) and psychophysical performance (for example, in visual contrast discrimination) in humans and non-human primates12,20–24.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [21]
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Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
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
Borders of Multiple Visual Areas in Humans Revealed by Functional Magnetic Resonance Imaging
Sereno, M. I., Dale, A. M., Reppas, J. B., Kwong, K. K., Belliveau, J. W., Brady, T. J., Rosen, B. R., & Tootell, R. B. H. (1995) · Science · doi:10.1126/science.7754376 · Cited by 2,663
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G., Engel, S., Glover, G., & Heeger, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,522
Self-citationNormalization of cell responses in cat striate cortex
Heeger, D. J. (1992) · Visual Neuroscience · doi:10.1017/s0952523800009640 · Cited by 1,835
Self-citationA direct demonstration of functional specialization in human visual cortex
Zeki, S., Watson, J. D. G., Lueck, C. J., Friston, K. J., Christopher Kennard, C., & Frackowiak, R. S. J. (1991) · Journal of Neuroscience · doi:10.1523/jneurosci.11-03-00641.1991 · Cited by 1,717
Softky, W., & Koch, C. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-01-00334.1993 · Cited by 1,689
Research works printed but not linked: 1
- Teo, 1995, A general mechanistic model of spatial pattern detection, Investigative Opthalmology Visual Science Suppl, 36, 439
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Boynton, G. M., Engel, S. A., & Heeger, D. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.082 · Cited by 74
Self-citationStimulus-dependent contrast sensitivity asymmetries around the visual field
Himmelberg, M. M., Winawer, J. A., & Carrasco, M. (2020) · Journal of Vision · doi:10.1167/jov.20.9.18 · Cited by 70
Binda, P., Thomas, J. M., Boynton, G. M., & Fine, I. (2013) · Journal of Vision · doi:10.1167/13.7.13 · Cited by 70
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Perna, A., Tosetti, M., Montanaro, D., & Morrone, M. C. (2005) · Neuron · doi:10.1016/j.neuron.2005.07.012 · Cited by 69
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Saionz, E. L., Tadin, D., Melnick, M. D., & Huxlin, K. R. (2020) · Brain · doi:10.1093/brain/awaa128 · Cited by 68
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Mendola, J. D., Conner, I. P., Sharma, S., Bahekar, A., & Lemieux, S. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/089892906775990624 · Cited by 69
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Marquardt, I., Schneider, M., Gülban, Ö. F., Ivanov, D., & Uludaǧ, K. (2018) · Human Brain Mapping · doi:10.1002/hbm.24042 · Cited by 69
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Zenger-Landolt, B., & Christof Koch, A. (2001) · Vision Research · doi:10.1016/s0042-6989(01)00175-4 · Cited by 66
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Baker, J. M., Bruno, J. L., Gundran, A., Hosseini, S. M. H., & Reiss, A. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201486 · Cited by 67
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Kolodny, T., Schallmo, M., Gerdts, J. A., Edden, R. A. E., Bernier, R., & Murray, S. O. (2020) · Autism Research · doi:10.1002/aur.2300 · Cited by 59
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Burr, D. C., Silva, O., Cicchini, G. M., Banks, M. S., & Morrone, M. C. (2009) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2008.1899 · Cited by 69
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Rahimi-Nasrabadi, H., Jin, J., Mazade, R. E., Pons, C., Najafian, S., & Alonso, J. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108692 · Cited by 57
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Liao, W., Marinazzo, D., Pan, Z., Gong, Q., & Chen, H. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2025126 · Cited by 56
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Wang, J., & Wade, A. R. (2011) · Journal of Vision · doi:10.1167/11.6.1 · Cited by 52
Coding of the contrasts in natural images by populations of neurons in primary visual cortex (V1)
Clatworthy, P. L., Chirimuuta, M., Lauritzen, J. S., & Tolhurst, D. J. (2003) · Vision Research · doi:10.1016/s0042-6989(03)00277-3 · Cited by 54
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Yu, C., Klein, S. A., & Levi, D. M. (2003) · Journal of Vision · doi:10.1167/3.8.1 · Cited by 51
Wade, A. R., & Rowland, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.6260-09.2010 · Cited by 51
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Vintch, B., & Gardner, J. L. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2809-13.2014 · Cited by 47
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Olman, C. A., & Yacoub, E. S. (2011) · The Open Neuroimaging Journal · doi:10.2174/1874440001105010074 · Cited by 49
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Contrast Invariance in the Human Lateral Occipital Complex Depends on Attention
Murray, S. O., & He, S. (2006) · Current Biology · doi:10.1016/j.cub.2006.02.019 · Cited by 47
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Buračas, G. T., Fine, I., & Boynton, G. M. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4476-04.2005 · Cited by 48
Self-citationPerceived contrast in complex images
Haun, A., & Eli Peli, A. (2013) · Journal of Vision · doi:10.1167/13.13.3 · Cited by 46
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Chirimuuta, M., & Tolhurst, D. J. (2005) · Vision Research · doi:10.1016/j.visres.2005.06.022 · Cited by 46
Carter, O. L., Bennett, D., Nash, T., Arnold, S., Brown, L., Cai, R. Y., Allan, Z., Dluzniak, A., McAnally, K. I., Burr, D. C., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.69 · Cited by 42
Two different mechanisms support selective attention at different phases of training
Itthipuripat, S., Cha, K., Byers, A., & Serences, J. T. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2001724 · Cited by 42
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Han, B., & Rufin Vanrullen, A. (2017) · Scientific Reports · doi:10.1038/srep43573 · Cited by 42
Neuromagnetic Correlates of Perceived Contrast in Primary Visual Cortex
Haynes, J., Roth, G., Stadler, M., & Heinze, H. –. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00820.2002 · Cited by 42
Baker, J. M., Bruno, J. L., Gundran, A., Hosseini, S. M. H., & Reiss, A. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203233 · Cited by 43
Activity in early visual areas predicts interindividual differences in binocular rivalry dynamics
Yamashiro, H., Yamamoto, H., Mano, H., Umeda, M., Higuchi, T., & Saiki, J. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00509.2013 · Cited by 42
Tong, F., Harrison, S. A., Dewey, J. A., & Kamitani, Y. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.005 · Cited by 38
Hall, S. D., Holliday, I. E., Hillebrand, A., Furlong, P. L., Singh, K. D., & Barnes, G. R. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.02.027 · Cited by 38
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Nurminen, L., Kilpeläinen, M., Laurinen, P. I., & Vanni, S. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00201.2009 · Cited by 38
Song, I., & Keil, A. (2014) · Psychophysiology · doi:10.1111/psyp.12260 · Cited by 38
Marcar, V. L., Straessle, A., Loenneker, T., Schwarz, U., & Martin, E. (2004) · Pediatric Research · doi:10.1203/01.pdr.0000145296.24669.a5 · Cited by 38
The Effect of Image Scrambling on Visual Cortical BOLD Activity in the Anesthetized Monkey
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Linking visual perception with human brain activity
Heeger, D. J. (1999) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(99)80071-3 · Cited by 36
Self-citationPreserved gain control for luminance contrast during binocular rivalry suppression
Watanabe, K., Paik, Y., & Blake, R. (2004) · Vision Research · doi:10.1016/j.visres.2004.07.011 · Cited by 36
Perceptual and neuronal correspondence in primary visual cortex
Paradiso, M. A. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00311-2 · Cited by 36
Cardin, V., Hemsworth, L., & Smith, A. T. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00002.2012 · Cited by 35
Meier, L., & Carandini, M. (2002) · Journal of Vision · doi:10.1167/2.4.2 · Cited by 34
Mendes, M., Silva, F. L., Simões, L., Jorge, M., Saraiva, J., & Castelo-Branco, M. S. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.09.005 · Cited by 33
Chromatic and luminance contrast sensitivity in fullterm and preterm infants
Bosworth, R. G., & Dobkins, K. R. (2009) · Journal of Vision · doi:10.1167/9.13.15 · Cited by 33
Uncertainty and Invariance in the Human Visual Cortex
Tjan, B. S., Lestou, V., & Kourtzi, Z. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01367.2005 · Cited by 33
Human cortical areas involved in perception of surface glossiness
Wada, A., SAKANO, Y., & Ando, H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.001 · Cited by 32
Phosphene threshold as a function of contrast of external visual stimuli
Rauschecker, A. M., Bestmann, S., Walsh, V., & Thilo, K. V. (2004) · Experimental Brain Research · doi:10.1007/s00221-004-1910-5 · Cited by 32
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Dhingra, N. K., & Smith, R. G. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.5346-03.2004 · Cited by 32
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Hass, C. A., & Horwitz, G. D. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00671.2012 · Cited by 31
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Ward, L. M., Aitchison, R. T., Tawse, M., Simmers, A. J., & Shahani, U. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125012 · Cited by 30
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Haun, A., & Essock, E. A. (2010) · Journal of Vision · doi:10.1167/10.10.1 · Cited by 30
Dobkins, K. R., Bosworth, R. G., & McCleery, J. P. (2009) · Journal of Vision · doi:10.1167/9.10.19 · Cited by 30
BOLD response to spatial phase congruency in human brain
Perna, A., Tosetti, M., Montanaro, D., & Morrone, M. C. (2008) · Journal of Vision · doi:10.1167/8.10.15 · Cited by 29
Contrast and stimulus duration dependence of perceptual surround suppression in older adults
Karas, R., & McKendrick, A. M. (2015) · Vision Research · doi:10.1016/j.visres.2015.02.016 · Cited by 26
Barbot, A., Park, W. J., Ng, C., Zhang, R., Huxlin, K. R., Tadin, D., & Yoon, G. (2021) · eLife · doi:10.7554/elife.58734 · Cited by 27
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Lu, Z., Li, X., Tjan, B. S., Dosher, B. A., & Chu, W. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21511 · Cited by 28
Sparsely distributed contours dominate extra-striate responses to complex scenes
Dumoulin, S. O., Dakin, S. C., & Hess, R. F. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.266 · Cited by 28
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Niemeyer, J. E., & Paradiso, M. A. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00635.2016 · Cited by 26
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Rabinovich, R. J., Kato, D. D., & Bruno, R. M. (2022) · Nature Communications · doi:10.1038/s41467-022-33141-y · Cited by 27
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Nevado, Á., Young, M. P., & Panzeri, S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.043 · Cited by 27
Hahn, T., Marquand, A. F., Plichta, M. M., Ehlis, A., Schecklmann, M., Dresler, T., Jarczok, T. A., Eirich, E., Reif-Leonhard, C., Reif, A., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.21497 · Cited by 27
Baldwin, A. S., Baker, D. H., & Hess, R. F. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150942 · Cited by 27
Schallmo, M., Grant, A., Burton, P. C., & Olman, C. A. (2016) · Journal of Vision · doi:10.1167/16.10.19 · Cited by 26
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White, A. L., Runeson, E. P., Palmer, J. C., Ernst, Z. R., & Boynton, G. M. (2017) · Journal of Vision · doi:10.1167/17.6.19 · Cited by 28
Self-citationSilverstein, S. M., Demmin, D. L., & Bednar, J. A. (2017) · Computational Psychiatry · doi:10.1162/cpsy_a_00005 · Cited by 26
Coding of the contrasts in natural images by visual cortex (V1) neurons: a Bayesian approach
Chirimuuta, M., Clatworthy, P. L., & Tolhurst, D. J. (2003) · Journal of the Optical Society of America A · doi:10.1364/josaa.20.001253 · Cited by 28
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Troncoso, X. G., Tse, P. U., Macknik, S. L., Caplovitz, G. P., Hsieh, P., Schlegel, A. A., Otero‐Millan, J., & Martínez‐Conde, S. (2007) · Perception · doi:10.1068/p5610 · Cited by 26
Sleep deprivation reduces the rate of rapid picture processing
Kong, D., Asplund, C. L., & Chee, M. W. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.037 · Cited by 25
Hood, D. C., Ghadiali, Q., Zhang, J. C., Graham, N., Wolfson, S., & Zhang, X. (2006) · Journal of Vision · doi:10.1167/6.5.4 · Cited by 26
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Birman, D., & Gardner, J. L. (2019) · Nature Communications · doi:10.1038/s41467-019-11448-7 · Cited by 28
Shape perception enhances perceived contrast: evidence for excitatory predictive feedback?
Han, B., & VanRullen, R. (2016) · Scientific Reports · doi:10.1038/srep22944 · Cited by 29
van Dijk, J. A., Fracasso, A., Petridou, N., & Dumoulin, S. O. (2020) · Scientific Reports · doi:10.1038/s41598-020-62165-x · Cited by 25
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Gaussian process linking functions for mind, brain, and behavior
Bahg, G., Evans, D. G., Galdo, M., & Turner, B. M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912342117 · Cited by 21
Pooling and segmenting motion signals
Burr, D. C., Baldassi, S., Morrone, M. C., & Verghese, P. (2008) · Vision Research · doi:10.1016/j.visres.2008.10.024 · Cited by 23
Identifying the Retinal Layers Linked to Human Contrast Sensitivity Via Deep Learning
Shamsi, F., Liu, R., Owsley, C. J., & Kwon, M. (2022) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.63.2.27 · Cited by 23
When more means less: a paradox BOLD response in human visual cortex
Marcar, V. L., Straessle, A., Girard, F., Loenneker, T., & Martin, E. (2004) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.01.019 · Cited by 23
An, X., Gong, H., Yin, J., Wang, X., Pan, Y., Zhang, X., Lu, Y., Yang, Y., Toth, Z. G., Schießl, I., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106753 · Cited by 21
Metadata
- Authors
- Boynton, G. M., Demb, J. B., Glover, G. H., & Heeger, D. J.
- Affiliations
- Stanford University (US)
- Stanford Medicine (US)
- Corresponding author
- Heeger, David J.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1999-01
- Volume
- 39
- Issue
- 2
- Pages
- 257-269
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2145425091
- Cited by
- 391
- References
- 67
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 8 · 2023: 15 · 2022: 14 · 2021: 11 · 2020: 25 · 2019: 12 · 2018: 18 · 2017: 10 · 2016: 14 · 2015: 13 · 2014: 17 · 2013: 15 · 2012: 14
- FWCI
- 7.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Vision Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r29mh050228-05)
- National Institute of Mental Health (F32-MH10897, R29-MH50228, F32MH010897)
- National Eye Institute (R01EY011794)
- National Center for Research Resources (P41 RR-09784, P41RR009784)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Keywords
- contrast discrimination, early visual cortex, primary visual cortex, V2, V3, population coding, contrast gain, spatial frequency, additive noise model
- MeSH terms
- Humans, Magnetic Resonance Imaging, Photic Stimulation, Psychophysics, Visual Cortex, Contrast Sensitivity
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 ›
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