Is coarse-to-fine strategy sensitive to normal aging?

PLoS ONE

Volumn 7, Issue 6, 2012, Pages

  Musel, Benoit ^a   Chauvin, Alan ^a   Guyader, Nathalie ^b   Chokron, Sylvie ^c   Peyrin, Carole ^a  

^a UNIVERSITÉ PIERRE MENDÈS FRANCE   (France)

^b CNRS   (France)

^c Fondation Ophtalmologique Rothschild   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AGING; ARTICLE; CONTROLLED STUDY; DEPTH PERCEPTION; FEMALE; HUMAN; HUMAN EXPERIMENT; INFORMATION PROCESSING; MALE; NORMAL HUMAN; RESPONSE TIME; SEMANTICS; SPATIAL FREQUENCY DISCRIMINATION; STIMULUS RESPONSE; TASK PERFORMANCE; VISUAL INFORMATION; VISUAL MEMORY; VISUAL STIMULATION; ADOLESCENT; PHOTOSTIMULATION; PHYSIOLOGY; REACTION TIME; VISION;

ADOLESCENT; AGING; FEMALE; HUMANS; MALE; PHOTIC STIMULATION; REACTION TIME; VISUAL PERCEPTION; YOUNG ADULT;

EID: 84861899165     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0038493     Document Type: Article

References (55)

1. De Valois RL, Albrecht DG, Thorell LG, (1982) Spatial frequency selectivity of cells in macaque visual cortex. Vision Research 22: 545-559.
2. De Valois RL, Yund EW, Hepler N, (1982) The orientation and direction selectivity of cells in macaque visual cortex. Vision Research 22: 531-544.
3. Poggio GF, (1972) Spatial properties of neurons in striate cortex of unanesthetized macaque monkey. Investigative Ophthalmology & Visual Science 11: 368-377.
4. Shams L, von der Malsburg C, (2002) The role of complex cells in object recognition. Vision Research 42: 2547-2554.
5. Tootell RB, Silverman MS, De Valois RL, (1981) Spatial frequency columns in primary visual cortex. Science 214: 813-815.
6. Van Essen DC, DeYoe EA, (1995) Concurrent processing in the primate visual cortex. In: M InGazzaniga, editors. editor The cognitive Neurosciences. Cambridge Bradford Book pp. 383-400.
7. Bullier J, (2001) Integrated model of visual processing. Brain Research Reviews 36: 96-107.
8. Kennedy H, Bullier J, (1985) A double-labeling investigation of the afferent connectivity to cortical areas V1 and V2 of the macaque monkey. The Journal of Neuroscience 5: 2815-2830.
9. Ginsburg AP, (1986) Spatial filtering and visual form perception. In: K InBoff, L Kauman, J Thomas, editors. editors Handbook of perception and human performance. New York Wiley-Interscience pp. 1-41.
10. Hughes HC, Nozawa G, Kitterle FL, (1996) Global precedence, spatial frequency channels, and the statistic of the natural image. Journal of Cognitive Neuroscience 8: 197-230.
11. Oliva A, Schyns PG, (1997) Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli. Cognitive Psychology 34: 72-107.
12. Parker DM, Costen NP, (1999) One extreme or the other or perhaps the golden mean? Issues of spatial resolution in face processing. Current Psychology 18: 118-127.
13. Parker DM, Lishman JR, Hughes J, (1992) Temporal integration of spatially filtered visual images. Perception 21: 147-160.
14. Parker DM, Lishman JR, Hughes J, (1996) Role of coarse and fine spatial information in face and object processing. Journal of Experimental Psychology: Human Perception and Performance 22: 1448-1466.
15. Parker DM, Lishman JR, Hughes J, (1997) Evidence for the view that temporospatial integration in vision is temporally anisotropic. Perception 26: 1169-1180.
16. Peyrin C, Michel CM, Schwartz S, Thut G, Seghier M, et al. (2010) 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 22: 2768-2780.
17. Peyrin C, Schwartz S, Seghier M, Michel C, Landis T, et al. (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.
18. Schyns PG, Oliva A, (1994) From blobs to boundary edges: Evidence for time- and spatial-scale-dependant scene recognition. Psychological Science 5: 195-200.
19. Schyns PG, Oliva A, (1999) Dr. Angry and Mr. Smile: when categorization flexibly modifies the perception of faces in rapid visual presentations. Cognition 69: 243-265.
20. Vuilleumier P, Armony JL, Driver J, Dolan RJ, (2003) Distinct spatial frequency sensitivities for processing faces and emotional expressions. Nature Neuroscience 6: 624-631.
21. Guyader N, Chauvin A, Peyrin C, Herault J, Marendaz C, (2004) Image phase or amplitude? Rapid scene categorization is an amplitude-based process. Comptes Rendus Biologies 327: 313-318.
22. Mermillod M, Guyader N, Chauvin A, (2005) The coarse-to-fine hypothesis revisited: Evidence from neuro-computational modeling. Brain and Cognition 57: 151-157.
23. Navon D, (1977) Forest before trees: The precedence of global features in visual perception. Cognitive Psychology 9: 353-383.
24. Badcock JC, Whitworth FA, Badcock DR, Lovegrove WJ, (1990) Low-frequency filtering and the processing of local-global stimuli. Perception 19: 617-629.
25. Lamb MR, Yund EW, (1993) The role of spatial frequency in the processing of hierarchically organized stimuli. Attention, Perception, & Psychophysics 54: 773-784.
26. Shulman GL, Sullivan MA, Gish K, Sakoda WJ, (1986) The role of spatial-frequency channels in the perception of local and global structure. Perception 15: 259-273.
27. Schyns PG, Oliva A, (1997) Flexible, diagnosticity-driven, rather than fixed, perceptually determined scale selection in scene and face recognition. Perception 26: 1027-1038.
28. Renninger LW, Malik J, (2004) When is scene identification just texture recognition? Vision Research 44: 2301-2311.
29. Gorkani MM, Picard RW, (1994) Texture orientation for sorting photos at a glance. In: Vision Proceedingsofthe12thIAPRInternationalConferenceonComputer, Processing Image, editors. vol 451. Washington, DC IEEE pp. 459-464.
30. Guerin-Dugue A, Oliva A, (2000) Classification of scene photographs from local orientations features. Pattern Recognition Letters 21: 1135-1140.
31. Herault J, Oliva A, Guérin-Dugué A, (1997) Scene categorisation by curvilinear component analysis of low frequency spectra. ESANN '97 European Symposium on Artificial Neural Networks. Bruxelles, Belgium: D Facto pp. 91-96.
32. Oliva A, Torralba A, (2001) Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision 42: 145-175.
33. Gosselin F, Schyns PG, (2002) RAP: A new framework for visual categorization. Trends in Cognitive Sciences 6: 70-77.
34. Dineen JT, Meyer WJ, (1980) Developmental changes in visual orienting behavior to featural versus structural information in the human infant. Developmental psychobiology 13: 123-130.
35. Poirel N, Mellet E, Houdé O, Pineau A, (2008) First came the trees, then the forest: Developmental changes during childhood in the processing of visual local-global patterns according to the meaningfulness of the stimuli. Developmental Psychology 44: 245-253.
36. Poirel N, Simon G, Cassotti M, Leroux G, Perchey G, et al. (2011) The Shift from Local to Global Visual Processing in 6-Year-Old Children Is Associated with Grey Matter Loss. PloS one 6: e20879.
37. Lux S, Marshall JC, Thimm M, Fink GR, (2008) Differential processing of hierarchical visual stimuli in young and older healthy adults: Implications for pathology. Cortex 44: 21-28.
38. Oken BS, Kishiyama SS, Kaye JA, Jones DE, (1999) Age-related differences in global-local processing: stability of laterality differences but disproportionate impairment in global processing. Journal of geriatric psychiatry and neurology 12: 76-81.
39. Staudinger MR, Fink GR, Mackay CE, Lux S, (2010) Gestalt perception and the decline of global precedence in older subjects. Cortex 47: 854-862.
40. Bruyer R, Scailquin JC, (2000) The fate of global precedence with age. Experimental aging research 26: 285-314.
41. Roux F, Ceccaldi M, (2001) Does Aging Affect the Allocation of Visual Attention in Global and Local Information Processing? Brain and cognition 46: 383-396.
42. Bar M, (2003) A cortical mechanism for triggering top-down facilitation in visual object recognition. Journal of Cognitive Neuroscience 15: 600-609.
43. Hegdé J, (2008) Time course of visual perception: Coarse-to-fine processing and beyond. Progress in neurobiology 84: 405-439.
44. Baltes MM, Maas I, Wilms HU, Borchelt M, Little T, (1999) Everyday competence in old and very old age: Theoretical considerations and empirical findings. In: PB InBaltes, KU Mayer, editors. editors The Berlin Aging Study. Cambridge Cambridge University Press pp. 384-402.
45. Rubenstein LZ, (1999) The importance of including the home environment in assessment of frail older people. Journal of the American Geriatrics Society 47: 111-112.
46. Stark S, (2001) Creating disability in the home: The role of environmental barriers in the United States. Disability & Society 16: 37-49.
47. Barras S, (2005) A systematic and critical review of the literature: The effectiveness of occupational therapy home assessment on a range of outcome measures. Australian Occupational Therapy Journal 52: 326-336.
48. Chang JT, Morton SC, Rubenstein LZ, Mojica WA, Maglione M, et al. (2004) Interventions for the prevention of falls in older adults: systematic review and meta-analysis of randomised clinical trials. British Medical Journal 328: 680-683.
49. Connell BR, Wolf SL, (1997) Environmental and behavioral circumstances associated with falls at home among healthy elderly individuals. Archives of physical medicine and rehabilitation 78: 179-186.
50. Lord SR, Menz HB, Sherrington C, (2006) Home environment risk factors for falls in older people and the efficacy of home modifications. Age and ageing 35: ii55-ii59.
51. Friedman DS, O'Colmain BJ, Munoz B, Tomany SC, McCarty C, et al. (2004) Prevalence of age-related macular degeneration in the United States. Archives of Ophthalmology 122: 565-572.
52. Klein R, Klein BE, Linton KL, (1992) Prevalence of age-related maculopathy. The Beaver Dam Eye Study. Ophthalmology 99: 933-943.
53. Klein R, Peto T, Bird A, Vannewkirk M, (2004) The epidemiology of age-related macular degeneration. American Journal of Ophthalmology 137: 486-495.
54. Vingerling JR, Dielemans I, Hofman A, Grobbee DE, Hijmering M, et al. (1995) The prevalence of age-related maculopathy in the Rotterdam study. Ophthalmology 102: 205-210.
55. Musel B, Hera R, Chokron S, Alleysson D, Chiquet C, et al. (2011) Residual abilities in age-related macular degeneration to process spatial frequencies during natural scene categorization. Visual Neuroscience 28: 529-541.