- ICH GCP
- US-Register für klinische Studien
- Klinische Studie NCT02840305
Brain Bases of Natural Scenes's Visual Perception of Natural Scenes (SCENES)
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.
Studienübersicht
Status
Bedingungen
Intervention / Behandlung
Studientyp
Einschreibung (Tatsächlich)
Phase
- Unzutreffend
Kontakte und Standorte
Studienorte
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La Tronche, Frankreich, 38700
- UniversityHospitalGrenoble
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Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Beschreibung
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
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Zuteilung: Zufällig
- Interventionsmodell: Parallele Zuordnung
- Maskierung: Keine (Offenes Etikett)
Waffen und Interventionen
Teilnehmergruppe / Arm |
Intervention / Behandlung |
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Sonstiges: 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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Andere Namen:
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Sonstiges: Expérience 2
Brain bases of Computer to Film (CtF) analysis 30 young adults, 20 old adults
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Andere Namen:
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Sonstiges: Expérience 3
Part of parahippocampal gyrus in Computer to Film (CtF) analysis 30 young adults, 20 old adults.
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Andere Namen:
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Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
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Identify brain bases of natural scenes's visual perception of the natural scenes
Zeitfenster: 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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Mitarbeiter und Ermittler
Sponsor
Ermittler
- Hauptermittler: Alexandre Krainik, Professor, Grenoble Hospital University
Publikationen und hilfreiche Links
Allgemeine Veröffentlichungen
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- 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.
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- 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.
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- 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.
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn
Primärer Abschluss (Tatsächlich)
Studienabschluss (Tatsächlich)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Schätzen)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Schätzen)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Andere Studien-ID-Nummern
- 38RC11.221
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