Brain Bases of Natural Scenes's Visual Perception of Natural Scenes (SCENES)
17 janvier 2017 mis à jour par: University Hospital, Grenoble
Brain Bases of Visual Perceptionnatural Scenes of Natural Scenes.
Using the available data from psychophysics, cellular electrophysiology and functionnal neuroanatomy of visual pathway, current models of visual recognition suppose that the perception of scenes start with a parallel extraction of differents elementary visual characteristics to different spatial frequencies according to a default processing principle named : 'coarse-to-fine'.
According to this principle, the visual scene's analysis would be decomposed in two steps. Fisrt, the fast analysis of the global information borne by low frequency of the scene will provide an overview of the scene's structure and would enable a first perceptive categorisation which would be then refined, approved or denied by the latest analysis of the most local, detailed and precise information, carried by the very high spatial frequency of the scene.
The research carried out since several years is preparing a biologically plausible model and to find brain bases by different imaging techniques among healthy subjects but also patients with a brain lesion and patients with a peripheral lesion.
The main goal of this Magnetic Resonance Imaging study is to find brain bases of natural scenes's visual perception of the natural scenes.
Three studies in Magnetic Resonance Imaging will be conducted, during which subjects will have to categorize pictures of natural scenes filtered in spatial frequencies. The outcome of this study will allow to refine models of visual recognition, most of them based on analysis of spatial frequencies.
Aperçu de l'étude
Statut
Complété
Les conditions
Intervention / Traitement
Type d'étude
Interventionnel
Inscription (Réel)
141
Phase
- N'est pas applicable
Contacts et emplacements
Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.
Lieux d'étude
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La Tronche, France, 38700
- UniversityHospitalGrenoble
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Critères de participation
Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.
Critère d'éligibilité
Âges éligibles pour étudier
4 ans et plus (Enfant, Adulte, Adulte plus âgé)
Accepte les volontaires sains
Non
Sexes éligibles pour l'étude
Tout
La description
Inclusion Criteria for young adults :
- Subjet over 18 years and less than 30 years
- Affiliation to a social security
- Free signed consent
- Medical exam done before participation to the study
- Normal or corrected visual acuity
Exclusion Criteria four young adults :
- Counter-argument to MRI
- Pregnant, breast-feeding or parturient women
- Adults non protected or unable to express their consent
- Adults protected
- Important earing or visual disorder
- Neuropsychiatric disorder current or past passée ou présente (exept benign epilepsy)
- Severe affection on a general level (cardiac, respiratory, hematologic, renal, hépatic, cancerous)
- Drug treatment in progress (exept anti-epileptic drug) likely to de modulate brain activity
Inclusion Criteria for old adults :
- Subjet over 50 years
- Affiliation to a social security
- Free signed consent
- Medical exam done before participation to the study
- Normal or corrected visual acuity
Exclusion Criteria four old adults :
- Counter-argument to MRI
- Pregnant, breast-feeding or parturient women
- Adults non protected or unable to express their consent
- Adults protected
- Important earing or visual disorder
- Neuropsychiatric disorder current or past passée ou présente (exept benign epilepsy)
- Severe affection on a general level (cardiac, respiratory, hematologic, renal, hépatic, cancerous)
- Drug treatment in progress (exept anti-epileptic drug) likely to de modulate brain activity
Inclusion Criteria for children :
- Children between 4 and 12 years
- Affiliation to a social security
- Free signed consent
- Medical exam done before participation to the study
- Normal or corrected visual acuity
Exclusion Criteria four children :
- Counter-argument to MRI
- Important earing or visual disorder
- Important development disorder and/or acquisitions identified by parents and/or school teachers
- Neuropsychiatric disorder current or past passée ou présente (exept benign epilepsy)
- Severe affection on a general level (cardiac, respiratory, hematologic, renal, hépatic, cancerous)
- Drug treatment in progress (exept anti-epileptic drug) likely to de modulate brain activity
Plan d'étude
Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.
Comment l'étude est-elle conçue ?
Détails de conception
- Répartition: Randomisé
- Modèle interventionnel: Affectation parallèle
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
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Autre: Expérience 1
Brain bases of spatial frequencies treatment 30 young adults, 20 old adults 20 children between 4 and 6 years, 20 children between 6 and 12 years and 20 young adults
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Autres noms:
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Autre: Expérience 2
Brain bases of Computer to Film (CtF) analysis 30 young adults, 20 old adults
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Autres noms:
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Autre: Expérience 3
Part of parahippocampal gyrus in Computer to Film (CtF) analysis 30 young adults, 20 old adults.
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Autres noms:
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
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Identify brain bases of natural scenes's visual perception of the natural scenes
Délai: About 80 minutes
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Evaluation 1 = Visual tasks Experience 1 : Brain bases of spatial frequencies treatment Experience 2 : Brain bases of Computer to Film (CtF) natural scenes analysis MRI exam Experience 3 : Part of parahippocampal gyrus in Computer to Film (CtF) natural scenes analysis MRI exam About 30 minutes Evaluation 2 = Retinotopy : only adults that have shown activations inside occipital cortex during evaluation 1 MRI exam about 50 minutes |
About 80 minutes
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Collaborateurs et enquêteurs
C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.
Parrainer
Les enquêteurs
- Chercheur principal: Alexandre Krainik, Professor, Grenoble Hospital University
Publications et liens utiles
La personne responsable de la saisie des informations sur l'étude fournit volontairement ces publications. Il peut s'agir de tout ce qui concerne l'étude.
Publications générales
- Houde O, Pineau A, Leroux G, Poirel N, Perchey G, Lanoe C, Lubin A, Turbelin MR, Rossi S, Simon G, Delcroix N, Lamberton F, Vigneau M, Wisniewski G, Vicet JR, Mazoyer B. Functional magnetic resonance imaging study of Piaget's conservation-of-number task in preschool and school-age children: a neo-Piagetian approach. J Exp Child Psychol. 2011 Nov;110(3):332-46. doi: 10.1016/j.jecp.2011.04.008. Epub 2011 Jun 1.
- Epstein R, Kanwisher N. A cortical representation of the local visual environment. Nature. 1998 Apr 9;392(6676):598-601. doi: 10.1038/33402.
- Bar M, Aminoff E, Schacter DL. Scenes unseen: the parahippocampal cortex intrinsically subserves contextual associations, not scenes or places per se. J Neurosci. 2008 Aug 20;28(34):8539-44. doi: 10.1523/JNEUROSCI.0987-08.2008.
- Epstein RA, Ward EJ. How reliable are visual context effects in the parahippocampal place area? Cereb Cortex. 2010 Feb;20(2):294-303. doi: 10.1093/cercor/bhp099. Epub 2009 May 20.
- Guérin-Dugué, A., & Oliva, A. (1999). Natural images classification from distributions of local dominant orientations, 11th Scandinavian Conference on Image Analysis SCIA'99.
- Guérin-Dugué, A., & Oliva, A. (2000). Classification of scene photographs from local orientations features. Pattern Recognition Letters, 21, 1135-1140.
- Hegde J. Time course of visual perception: coarse-to-fine processing and beyond. Prog Neurobiol. 2008 Apr;84(4):405-39. doi: 10.1016/j.pneurobio.2007.09.001. Epub 2007 Sep 29.
- Hérault, J., Oliva, A., & Guérin-Dugué, A. (1997). Scene categorisation by curvilinear component analysis of low frequency spectra. Paper presented at the IANN'97, Bruges
- Hubel DH, Wiesel TN. Ferrier lecture. Functional architecture of macaque monkey visual cortex. Proc R Soc Lond B Biol Sci. 1977 Jul 28;198(1130):1-59. doi: 10.1098/rspb.1977.0085. No abstract available.
- Hughes HC, Nozawa G, Kitterle F. Global precedence, spatial frequency channels, and the statistics of natural images. J Cogn Neurosci. 1996 Summer;8(3):197-230. doi: 10.1162/jocn.1996.8.3.197.
- Kimchi R. Primacy of wholistic processing and global/local paradigm: a critical review. Psychol Bull. 1992 Jul;112(1):24-38. doi: 10.1037/0033-2909.112.1.24.
- Lamb MR, Yund EW. The role of spatial frequency in the processing of hierarchically organized stimuli. Percept Psychophys. 1993 Dec;54(6):773-84. doi: 10.3758/bf03211802.
- Lux S, Marshall JC, Thimm M, Fink GR. Differential processing of hierarchical visual stimuli in young and older healthy adults: implications for pathology. Cortex. 2008 Jan;44(1):21-8. doi: 10.1016/j.cortex.2005.08.001. Epub 2007 Nov 17.
- Monoyer, F. (1875). Echelle typographique pour la détermination de l'acuité visuelle. (Acad. des Sciences, Comptes rendus). Gaz. Méd. De Paris, 80, 113.
- Musel B, Chauvin A, Guyader N, Chokron S, Peyrin C. Is coarse-to-fine strategy sensitive to normal aging? PLoS One. 2012;7(6):e38493. doi: 10.1371/journal.pone.0038493. Epub 2012 Jun 4.
- Navon, D. (1977). Forest before trees: the precedence of global features in visual perception. Cognitive Psychology, 9, 353-383.
- Oken BS, Kishiyama SS, Kaye JA, Jones DE. Age-related differences in global-local processing: stability of laterality differences but disproportionate impairment in global processing. J Geriatr Psychiatry Neurol. 1999 Summer;12(2):76-81. doi: 10.1177/089198879901200207.
- Oliva, A. (1995). Perception de scènes: Traitement fréquentiel du signal visuel aspects psychophysiques et neurophysiologiques. Institut National Polytechnique, Grenoble.
- Oliva A, Schyns PG. Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli. Cogn Psychol. 1997 Oct;34(1):72-107. doi: 10.1006/cogp.1997.0667.
- Park S, Brady TF, Greene MR, Oliva A. Disentangling scene content from spatial boundary: complementary roles for the parahippocampal place area and lateral occipital complex in representing real-world scenes. J Neurosci. 2011 Jan 26;31(4):1333-40. doi: 10.1523/JNEUROSCI.3885-10.2011.
- Pelli, D. G., Robson, J. G., & Wilkins, A. J. (1988). The design of a new letter chart for measuring contrast sensitivity. Clinical Vision Sciences, 2(3), 187-199.
- Peyrin C, Baciu M, Segebarth C, Marendaz C. Cerebral regions and hemispheric specialization for processing spatial frequencies during natural scene recognition. An event-related fMRI study. Neuroimage. 2004 Oct;23(2):698-707. doi: 10.1016/j.neuroimage.2004.06.020.
- Peyrin C, Chauvin A, Chokron S, Marendaz C. Hemispheric specialization for spatial frequency processing in the analysis of natural scenes. Brain Cogn. 2003 Nov;53(2):278-82. doi: 10.1016/s0278-2626(03)00126-x.
- Peyrin C, Chokron S, Guyader N, Gout O, Moret J, Marendaz C. Neural correlates of spatial frequency processing: A neuropsychological approach. Brain Res. 2006 Feb 16;1073-1074:1-10. doi: 10.1016/j.brainres.2005.12.051. Epub 2006 Jan 27.
- Peyrin C, Mermillod M, Chokron S, Marendaz C. Effect of temporal constraints on hemispheric asymmetries during spatial frequency processing. Brain Cogn. 2006 Dec;62(3):214-20. doi: 10.1016/j.bandc.2006.05.005. Epub 2006 Jul 11.
- Peyrin C, Michel CM, Schwartz S, Thut G, Seghier M, Landis T, Marendaz C, Vuilleumier P. The neural substrates and timing of top-down processes during coarse-to-fine categorization of visual scenes: a combined fMRI and ERP study. J Cogn Neurosci. 2010 Dec;22(12):2768-80. doi: 10.1162/jocn.2010.21424.
- Peyrin C, Schwartz S, Seghier M, Michel C, Landis T, Vuilleumier P. Hemispheric specialization of human inferior temporal cortex during coarse-to-fine and fine-to-coarse analysis of natural visual scenes. Neuroimage. 2005 Nov 1;28(2):464-73. doi: 10.1016/j.neuroimage.2005.06.006. Epub 2005 Jul 1.
- Poirel N, Mellet E, Houde O, Pineau A. 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. Dev Psychol. 2008 Jan;44(1):245-53. doi: 10.1037/0012-1649.44.1.245.
- Poirel N, Simon G, Cassotti M, Leroux G, Perchey G, Lanoe C, Lubin A, Turbelin MR, Rossi S, Pineau A, Houde O. The shift from local to global visual processing in 6-year-old children is associated with grey matter loss. PLoS One. 2011;6(6):e20879. doi: 10.1371/journal.pone.0020879. Epub 2011 Jun 8.
- Shulman GL, Sullivan MA, Gish K, Sakoda WJ. The role of spatial-frequency channels in the perception of local and global structure. Perception. 1986;15(3):259-73. doi: 10.1068/p150259.
- Shulman GL, Wilson J. Spatial frequency and selective attention to local and global information. Perception. 1987;16(1):89-101. doi: 10.1068/p160089.
- 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.
- Schyns PG, Oliva A. Flexible, diagnosticity-driven, rather than fixed, perceptually determined scale selection in scene and face recognition. Perception. 1997;26(8):1027-38. doi: 10.1068/p261027.
- Schyns PG, Oliva A. Dr. Angry and Mr. Smile: when categorization flexibly modifies the perception of faces in rapid visual presentations. Cognition. 1999 Jan 1;69(3):243-65. doi: 10.1016/s0010-0277(98)00069-9.
- Staudinger MR, Fink GR, Mackay CE, Lux S. Gestalt perception and the decline of global precedence in older subjects. Cortex. 2011 Jul-Aug;47(7):854-62. doi: 10.1016/j.cortex.2010.08.001. Epub 2010 Aug 11.
- 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.
- Vasseur F, Delon-Martin C, Bordier C, Warnking J, Lamalle L, Segebarth C, Dojat M. fMRI retinotopic mapping at 3 T: benefits gained from correcting the spatial distortions due to static field inhomogeneity. J Vis. 2010 Oct 26;10(12):30. doi: 10.1167/10.12.30.
- Warnking J, Dojat M, Guerin-Dugue A, Delon-Martin C, Olympieff S, Richard N, Chehikian A, Segebarth C. fMRI retinotopic mapping--step by step. Neuroimage. 2002 Dec;17(4):1665-83. doi: 10.1006/nimg.2002.1304.
Dates d'enregistrement des études
Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.
Dates principales de l'étude
Début de l'étude
1 avril 2012
Achèvement primaire (Réel)
1 mars 2016
Achèvement de l'étude (Réel)
1 août 2016
Dates d'inscription aux études
Première soumission
18 juillet 2016
Première soumission répondant aux critères de contrôle qualité
18 juillet 2016
Première publication (Estimation)
21 juillet 2016
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Estimation)
18 janvier 2017
Dernière mise à jour soumise répondant aux critères de contrôle qualité
17 janvier 2017
Dernière vérification
1 janvier 2017
Plus d'information
Termes liés à cette étude
Mots clés
Autres numéros d'identification d'étude
- 38RC11.221
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