Top-down modulation of human early visual cortex after stimulus offset supports successful postcued report

Journal of Cognitive Neuroscience

Volumn 23, Issue 8, 2011, Pages 1921-1934

  Sergent, Claire ^a,b   Ruff, Christian C ^a,c   Barbot, Antoine ^d   Driver, Jon ^a   Rees, Geraint ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b CNRS   (France)

^c UNIVERSITY OF ZURICH   (Switzerland)

^d NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ASSOCIATION; BEHAVIOR; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; HUMAN TISSUE; MODULATION; NERVE STIMULATION; NORMAL HUMAN; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; SENSORY CORTEX; STIMULUS; VISUAL CORTEX; VISUAL DISPLAY UNIT; VISUAL STIMULATION;

ACOUSTIC STIMULATION; ADULT; ATTENTION; BRAIN MAPPING; CUES; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; OXYGEN; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; REACTION TIME; TIME FACTORS; VISUAL CORTEX; YOUNG ADULT;

EID: 79957958918     PISSN: 0898929X     EISSN: 15308898     Source Type: Journal    
DOI: 10.1162/jocn.2010.21553     Document Type: Article

References (52)

1. Bays, P. M., Catalao, R. F., & Husain, M. (2009). The precision of visual working memory is set by allocation of a shared resource. Journal of Vision, 9, 1-11.
2. Boehler, C. N., Schoenfeld, M. A., Heinze, H. J., & Hopf, J. M. (2008). Rapid recurrent processing gates awareness in primary visual cortex. Proceedings of the National Academy of Sciences, U.S.A., 105, 8742-8747.
3. Boly, M., Balteau, E., Schnakers, C., Degueldre, C., Moonen, G., Luxen, A., et al. (2007). Baseline brain activity fluctuations predict somatosensory perception in humans. Proceedings of the National Academy of Sciences, U.S.A., 104, 12187-12192.
4. Carrasco, M. (2006). Covert attention increases contrast sensitivity: Psychophysical, neurophysiological and neuroimaging studies. Progress in Brain Research, 154, 33-70.
5. Coltheart, M. (1983). Iconic memory. Philosophical Transactions of the Royal Society of London, Series B, Biological Sciences, 302, 283-294.
6. Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3, 201-215.
7. de Gardelle, V., Sackur, J., & Kouider, S. (2009). Perceptual illusions in brief visual presentations. Consciousness and Cognition, 18, 569-577.
8. Dehaene, S., Changeux, J. P., Naccache, L., Sackur, J., & Sergent, C. (2006). Conscious, preconscious, and subliminal processing: A testable taxonomy. Trends in Cognitive Sciences, 10, 204-211.
9. Del Cul, A., Baillet, S., & Dehaene, S. (2007). Brain dynamics underlying the nonlinear threshold for access to consciousness. PLoS Biology, 5, e260.
10. Gilbert, C. D., & Sigman, M. (2007). Brain states: Top-down influences in sensory processing. Neuron, 54, 677-696.
11. Gold, J. I., & Shadlen, M. N. (2001). Neural computations that underlie decisions about sensory stimuli. Trends in Cognitive Sciences, 5, 10-16.
12. Harrison, S. A., & Tong, F. (2009). Decoding reveals the contents of visual working memory in early visual areas. Nature, 458, 632-635.
13. Haynes, J. D., Driver, J., & Rees, G. (2005). Visibility reflects dynamic changes of effective connectivity between V1 and fusiform cortex. Neuron, 46, 811-821.
14. Hesselmann, G., Kell, C. A., Eger, E., & Kleinschmidt, A. (2008). Spontaneous local variations in ongoing neural activity bias perceptual decisions. Proceedings of the National Academy of Sciences, U.S.A., 105, 10984-10989.
15. Hochstein, S., & Ahissar, M. (2002). View from the top: Hierarchies and reverse hierarchies in the visual system. Neuron, 36, 791-804.
16. Houtkamp, R., & Braun, J. (2010). Cortical response to task-relevant stimuli presented outside the primary focus of attention. Journal of Cognitive Neuroscience, 22, 1980-1992.
17. Lamme, V. A. (2004). Separate neural definitions of visual consciousness and visual attention: A case for phenomenal awareness. Neural Networks, 17, 861-872.
18. Lamme, V. A., & Roelfsema, P. R. (2000). The distinct modes of vision offered by feedforward and recurrent processing. Trends in Neurosciences, 23, 571-579.
19. Lamy, D., Salti, M., & Bar-Haim, Y. (2009). Neural correlates of subjective awareness and unconscious processing: An ERP study. Journal of Cognitive Neuroscience, 21, 1435-1446.
20. Lepsien, J., & Nobre, A. C. (2007). Attentional modulation of object representations in working memory. Cerebral Cortex, 17, 2072-2083.
21. Lu, Z. L., Neuse, J., Madigan, S., & Dosher, B. A. (2005). Fast decay of iconic memory in observers with mild cognitive impairments. Proceedings of the National Academy of Sciences, U.S.A., 102, 1797-1802.
22. Macknik, S. L., & Livingstone, M. S. (1998). Neuronal correlates of visibility and invisibility in the primate visual system. Nature Neuroscience, 1, 144-149.
23. Macknik, S. L., & Martinez-Conde, S. (2007). The role of feedback in visual masking and visual processing. Advances in Cognitive Psychology, 3, 125-152.
24. Martinez, A., Anllo-Vento, L., Sereno, M. I., Frank, L. R., Buxton, R. B., Dubowitz, D. J., et al. (1999). Involvement of striate and extrastriate visual cortical areas in spatial attention. Nature Neuroscience, 2, 364-369.
25. Nobre, A. C., Coull, J. T., Maquet, P., Frith, C. D., Vandenberghe, R., & Mesulam, M. M. (2004). Orienting attention to locations in perceptual versus mental representations. Journal of Cognitive Neuroscience, 16, 363-373.
26. Noesselt, T., Hillyard, S. A., Woldorff, M. G., Schoenfeld, A., Hagner, T., Jancke, L., et al. (2002). Delayed striate cortical activation during spatial attention. Neuron, 35, 575-587.
27. Pascual-Leone, A., & Walsh, V. (2001). Fast backprojections from the motion to the primary visual area necessary for visual awareness. Science, 292, 510-512.
28. Ratcliff, R., & Rouder, J. N. (2000). A diffusion model account of masking in two-choice letter identification. Journal of Experimental Psychology: Human Perception and Performance, 26, 127-140.
29. Raymond, J. E., Shapiro, K. L., & Arnell, K. M. (1992). Temporary suppression of visual processing in an RSVP task: An attentional blink? Journal of Experimental Psychology: Human Perception and Performance, 18, 849-860.
30. Rees, G., Kreiman, G., & Koch, C. (2002). Neural correlates of consciousness in humans. Nature Reviews Neuroscience, 3, 261-270.
31. Ress, D., & Heeger, D. J. (2003). Neuronal correlates of perception in early visual cortex. Nature Neuroscience, 6, 414-420.
32. Reynolds, J. H., Pasternak, T., & Desimone, R. (2000). Attention increases sensitivity of V4 neurons. Neuron, 26, 703-714.
33. Ruff, C. C., Blankenburg, F., Bjoertomt, O., Bestmann, S., Freeman, E., Haynes, J. D., et al. (2006). Concurrent TMS-fMRI and psychophysics reveal frontal influences on human retinotopic visual cortex. Current Biology, 16, 1479-1488.
34. Ruff, C. C., Kristjansson, A., & Driver, J. (2007). Readout from iconic memory and selective spatial attention involve similar neural processes. Psychological Science, 18, 901-909.
35. Schall, J. D. (2000). From sensory evidence to a motor command. Current Biology, 10, R404-R406.
36. Schwartz, S., Vuilleumier, P., Hutton, C., Maravita, A., Dolan, R. J., & Driver, J. (2005). Attentional load and sensory competition in human vision: Modulation of fMRI responses by load at fixation during task-irrelevant stimulation in the peripheral visual field. Cerebral Cortex, 15, 770-786.
37. Serences, J. T., Ester, E. F., Vogel, E. K., & Awh, E. (2009). Stimulus-specific delay activity in human primary visual cortex. Psychological Science, 20, 207-214.
38. Sergent, C., Baillet, S., & Dehaene, S. (2005). Timing of the brain events underlying access to consciousness during the attentional blink. Nature Neuroscience, 8, 1391-1400.
39. Sergent, C., & Rees, G. (2007). Conscious access overflows overt report. Behavioral and Brain Sciences, 30, 499-548.
40. Shulman, G. L., Ollinger, J. M., Linenweber, M., Petersen, S. E., & Corbetta, M. (2001). Multiple neural correlates of detection in the human brain. Proceedings of the National Academy of Sciences, U.S.A., 98, 313-318.
41. Sigman, M., & Dehaene, S. (2005). Parsing a cognitive task: A characterization of the mind's bottleneck. PLoS Biology, 3, e37.
42. Sligte, I. G., Scholte, H. S., & Lamme, V. A. (2009). V4 activity predicts the strength of visual short-term memory representations. Journal of Neuroscience, 29, 7432-7438.
43. Sperling, G. (1960). The information available in brief visual presentation. Psychological Monographs, 74(11, Whole No. 498).
44. Sterzer, P., Haynes, J. D., & Rees, G. (2006). Primary visual cortex activation on the path of apparent motion is mediated by feedback from hMT+/V5. Neuroimage, 32, 1308-1316.
45. Super, H., Spekreijse, H., & Lamme, V. A. (2001a). A neural correlate of working memory in the monkey primary visual cortex. Science, 293, 120-124.
46. Super, H., Spekreijse, H., & Lamme, V. A. (2001b). Two distinct modes of sensory processing observed in monkey primary visual cortex (V1). Nature Neuroscience, 4, 304-310.
47. Teo, P. C., Sapiro, G., & Wandell, B. A. (1997). Creating connected representations of cortical gray matter for functional MRI visualization. IEEE Transactions on Medical Imaging, 16, 852-863.
48. Thiele, A., Pooresmaeili, A., Delicato, L. S., Herrero, J. L., & Roelfsema, P. R. (2009). Additive effects of attention and stimulus contrast in primary visual cortex. Cerebral Cortex, 19, 2970-2981.
49. Tootell, R. B., Reppas, J. B., Kwong, K. K., Malach, R., Born, R. T., Brady, T. J., et al. (1995). Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging. Journal of Neuroscience, 15, 3215-3230.
50. Vogel, E. K., & Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428, 748-751.
51. Vogel, E. K., McCollough, A. W., & Machizawa, M. G. (2005). Neural measures reveal individual differences in controlling access to working memory. Nature, 438, 500-503.
52. Wyart, V., & Tallon-Baudry, C. (2008). Neural dissociation between visual awareness and spatial attention. Journal of Neuroscience, 28, 2667-2679.