The neural substrates and timing of top-down processes during coarse-to-fine categorization of visual scenes: A combined fMRI and ERP study

Journal of Cognitive Neuroscience

Volumn 22, Issue 12, 2010, Pages 2768-2780

  Peyrin, Carole ^a,b,c   Michel, Christoph M ^c   Schwartz, Sophie ^c   Thut, Gregor ^c   Seghier, Mohamed ^c   Landis, Theodor ^d   Marendaz, Christian ^a   Vuilleumier, Patrik ^c  

^a UNIVERSITÉ PIERRE MENDÈS FRANCE   (France)

^b CNRS   (France)

^c UNIVERSITY OF GENEVA MEDICAL SCHOOL   (Switzerland)

^d GENEVA UNIVERSITY HOSPITALS   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BRAIN; EVENT RELATED POTENTIAL; FEEDBACK SYSTEM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; OCCIPITAL LOBE; PARIETAL LOBE; PREFRONTAL CORTEX; PRIORITY JOURNAL; SPATIAL FREQUENCY DISCRIMINATION; TEMPORAL LOBE; THALAMUS; VISION; VISUAL CORTEX; VISUAL STIMULATION; STRIATE CORTEX;

ADULT; BRAIN; BRAIN MAPPING; CONCEPT FORMATION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; PHOTIC STIMULATION; REACTION TIME; VISUAL PERCEPTION;

TIMING CIRCUITS;

COARSE TO FINE; HIGH SPATIAL FREQUENCY; HIGH-ORDER; HIGHER-ORDER; LOW-SPATIAL FREQUENCY; NEURAL SUBSTRATES; SPATIAL FREQUENCY; TOP-DOWN PROCESS; VISUAL ANALYSIS; VISUAL SCENE;

BRAIN;

EID: 78649484487     PISSN: 0898929X     EISSN: 15308898     Source Type: Journal    
DOI: 10.1162/jocn.2010.21424     Document Type: Article

References (56)

1. Badcock, J. C., Whitworth, F. A., Badcock, D. R., & Lovegrove, W. J. (1990). Low-frequency filtering and the processing of local-global stimuli. Perception, 19, 617-629.
2. Bar, M. (2003). A cortical mechanism for triggering top-down facilitation in visual object recognition. Journal of Cognitive Neuroscience, 15, 600-609.
3. Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmid, A. M., Dale, A. M., et al. (2006). Top-down facilitation of visual recognition. Proceedings of the National Academy of Sciences, U.S.A., 103, 449-454.
4. Bar, M., Tootell, R., Schacter, D., Greve, D., Fischl, B., Mendola, J., et al. (2001). Cortical mechanisms of explicit visual object recognition. Neuron, 29, 529-535.
5. Barrett, L. F., & Bar, M. (2009). See it with feeling: Affective predictions during object perception. Philosophical Transactions of the Royal Society of London, Series B, Biological Sciences, 364, 1325-1334.
6. Biederman, I. (1995). Visual object recognition. In S. F. Kosslyn & D. N. Osherson (Eds.), An invitation to cognitive science (pp. 121-165). Cambridge, MA: MIT Press.
7. Blanke, O., Spinelli, L., Thut, G., Michel, C. M., Perrig, S., Landis, T., et al. (2000). Location of the human frontal eye field as defined by electrical cortical stimulation: Anatomical, functional and electrophysiological characteristics. NeuroReport, 11, 1907-1913.
8. Breitmeyer, B. G. (1975). Simple reaction time as a measure of the temporal response properties of transient and sustained channels. Vision Research, 15, 1411-1412.
9. Bullier, J. (2001). Integrated model of visual processing. Brain Research, Brain Research Reviews, 36, 96-107.
10. Bullier, J., Schall, J. D., & Morel, A. (1996). Functional streams in occipito-frontal connections in the monkey. Behavioural Brain Research, 76, 89-97. (Pubitemid 26135402)
11. DeValois, R. L., & DeValois, K. K. (1988). Spatial vision. New York: Oxford University Press.
12. Eger, E., Schyns, P. G., & Kleinschmidt, A. (2004). Scale invariant adaptation in fusiform face-responsive regions. Neuroimage, 22, 232-242.
13. Fink, G. R., Halligan, P. W., Marshall, J. C., Frith, C. D., Frackowiak, R. S., & Dolan, R. J. (1996). Where in the brain does visual attention select the forest and the trees? Nature, 382, 626-628.
14. Fletcher, P. C., & Henson, R. N. (2001). Frontal lobes and human memory: Insights from functional neuroimaging. Brain, 124, 849-881.
15. Foxe, J. J., & Simpson, G. V. (2002). Flow of activation from V1 to frontal cortex in humans A framework for defining "early" visual processing. Experimental Brain Research, 142, 139-150.
16. Freedman, D. J., Riesenhuber, M., Poggio, T., & Miller, E. K. (2001). Categorical representation of visual stimuli in the primate prefrontal cortex. Science, 291, 312-316.
17. Friston, K. J., Zarahn, E., Josephs, O., Henson, R. N., & Dale, A. M. (1999). Stochastic designs in event-related fMRI. Neuroimage, 10, 607-619.
18. Grave de Peralta Menendez, R., Gonzalez Andino, S., Lantz, G., Michel, C. M., & Landis, T. (2001). Noninvasive localization of electromagnetic epileptic activity. I. Method descriptions and simulations. Brain Topography, 14, 131-137.
19. Grave de Peralta Menendez, R., Murray, M. M., Michel, C. M., Martuzzi, R., & Gonzalez Andino, S. L. (2004). Electrical neuroimaging based on biophysical constraints. Neuroimage, 21, 527-539.
20. Grave de Peralta, R., & Gonzalez Andino, S. (2002). Comparison of algorithms for the localization of focal sources: Evaluation with simulated data and analysis of experimental data. International Journal of Bioelectromagnetism, 4.
21. Grill-Spector, K., Kushnir, T., Edelman, S., Avidan, G., Itzchak, Y., & Malach, R. (1999). Differential processing of objects under various viewing conditions in the human lateral occipital complex. Neuron, 24, 187-203.
22. Hamker, F. H. (2005). The reentry hypothesis: The putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas V4, IT for attention and eye movement. Cerebral Cortex, 15, 431-447.
23. Hegde, J. (2008). Time course of visual perception: Coarseto- fine processing and beyond. Progress in Neurobiology, 84, 405-439.
24. Hupe, J. M., James, A. C., Girard, P., Lomber, S. G., Payne, B. R., & Bullier, J. (2001). Feedback connections act on the early part of the responses in monkey visual cortex. Journal of Neurophysiology, 85, 134-145.
25. Josephs, O., & Henson, R. N. (1999). Event-related functional magnetic resonance imaging: Modelling, inference and optimization. Philosophical Transactions of the Royal Society of London, Series B, Biological Sciences, 354, 1215-1228. (Pubitemid 29400902)
26. Lamb, M. R., & Yund, E. W. (1993). The role of spatial frequency in the processing of hierarchically organized stimuli. Perception & Psychophysics, 54, 773-784.
27. Lehmann, D. (1987). Principles of spatial analysis. In A. S. Gevins & A. Remond (Eds.), Handbook of electroencephalography and clinical neurophysiology. Methods of analysis of brain electrical and magnetic signals (Vol. 1, pp. 309-354). Amsterdam: Elsevier.
28. Lehmann, D., & Skrandies, W. (1980). Reference-free identification of components of checkerboard-evoked multichannel potential fields. Electroencephalography and Clinical Neurophysiology, 48, 609-621.
29. Martin, P. R., & Grunert, U. (2003). Ganglion cells in mammalian retinae. In L. M. Chalupa & J. S. Werner (Eds.), The visual neurosciences (pp. 410-421). Cambridge, MA: MIT Press.
30. Michel, C. M., Murray, M. M., Lantz, G., Gonzalez, S., Spinelli, L., & Grave de Peralta, R. (2004). EEG source imaging. Clinical Neurophysiology, 115, 2195-2222.
31. Moore, T., Tolias, A. S., & Schiller, P. H. (1998). Visual representations during saccadic eye movements. Proceedings of the National Academy of Sciences, U.S.A., 95, 8981-8984.
32. Mummery, C. J., Patterson, K., Hodges, J. R., & Price, C. J. (1998). Functional neuroanatomy of the semantic system: Divisible by what? Journal of Cognitive Neuroscience, 10, 766-777.
33. Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 9, 353-383.
34. Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9, 97-113.
35. Parker, D. M., Lishman, J. R., & Hughes, J. (1992). Temporal integration of spatially filtered visual images. Perception, 21, 147-160.
36. Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1995). Segmentation of brain electrical activity into microstates: Model estimation and validation. IEEE Transactions on Biomedical Engineering, 42, 658-665.
37. Paus, T. (1996). Location and function of the human frontal eye-field: A selective review. Neuropsychologia, 34, 475-483. (Pubitemid 126335116)
38. Perrin, F., Pernier, J., Bertrand, O., Giard, M. H., & Echallier, J. F. (1987). Mapping of scalp potentials by surface spline interpolation. Electroencephalography and Clinical Neurophysiology, 66, 75-81.
39. Peyrin, C., Baciu, M., Segebarth, C., & Marendaz, C. (2004). Cerebral regions and hemispheric specialization for processing spatial frequencies during natural scene recognition. An event-related fMRI study. Neuroimage, 23, 698-707.
40. Peyrin, C., Chauvin, A., Chokron, S., & Marendaz, C. (2003). Hemispheric specialization for spatial frequency processing in the analysis of natural scenes. Brain and Cognition, 53, 278-282.
41. Peyrin, C., Schwartz, S., Seghier, M., Michel, C., Landis, T., & Vuilleumier, P. (2005). Hemispheric specialization of human inferior temporal cortex during coarse-to-fine and fine-to-coarse analysis of natural visual scenes. Neuroimage, 28, 464-473.
42. Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., Jr., et al. (2000). Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria. Psychophysiology, 37, 127-152.
43. Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13, 25-42.
44. Riesenhuber, M., & Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nature Neuroscience, 2, 1019-1025.
45. Robertson, L. C., Lamb, M. R., & Knight, R. T. (1988). Effects of lesions of temporal-parietal junction on perceptual and attentional processing in humans. Journal of Neuroscience, 8, 3757-3769.
46. Robson, J. G., & Graham, N. (1981). Probability summation and regional variation in contrast sensitivity across the visual field. Vision Research, 21, 409-418.
47. Rotshtein, P., Vuilleumier, P., Winston, J., Driver, J., & Dolan, R. (2007). Distinct and convergent visual processing of high and low spatial frequency information in faces. Cerebral Cortex, 17, 2713-2724.
48. Schall, J. D. (2002). The neural selection and control of saccades by the frontal eye field. Philosophical Transactions of the Royal Society of London, Series B, Biological Sciences, 357, 1073-1082.
49. Schulman, G., Sulivan, M., Gisch, K., & Sadoka, W. (1986). The role of spatial frequency channels in the perception of local and global structure. Perception, 15, 259-273.
50. Schyns, P. G., & Oliva, A. (1994). From blobs to boundary edges: Evidence for time- and spatial-scale-dependant scene recognition. American Psychological Society, 5, 195-200.
51. Schyns, P. G., & Oliva, A. (1997). Flexible, diagnosticity-driven, rather than fixed, perceptually determined scale selection in scene and face recognition. Perception, 26, 1027-1038.
52. Talairach, J., & Tournoux, P. (1988). Co-planar stereotaxic atlas of the human brain. 3-dimensional proportional system: An approach to cerebral imaging. New York: Thieme.
53. Van Essen, D. C., & DeYoe, E. A. (1995). Concurrent processing in the primate visual cortex. In M. Gazzaniga (Ed.), The cognitive neurosciences (pp. 383-400). Cambridge: Bradford Book.
54. Vuilleumier, P., Henson, R. N., Driver, J., & Dolan, R. J. (2002). Multiple levels of visual object constancy revealed by event-related fMRI of repetition priming. Nature Neuroscience, 5, 491-499.
55. Wagner, A. D., Pare-Blagoev, E. J., Clark, J., & Poldrack, R. A. (2001). Recovering meaning: Left prefrontal cortex guides controlled semantic retrieval. Neuron, 31, 329-338. (Pubitemid 32762984)
56. Yamaguchi, S., Yamagata, S., & Kobayashi, S. (2000). Cerebral asymmetry of the "top-down" allocation of attention to global and local features. Journal of Neuroscience, 20, RC72.