NCT02840305

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
141

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Apr 2012

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

April 1, 2012

Completed
3.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2016

Completed
5 months until next milestone

First Submitted

Initial submission to the registry

July 18, 2016

Completed
3 days until next milestone

First Posted

Study publicly available on registry

July 21, 2016

Completed
11 days until next milestone

Study Completion

Last participant's last visit for all outcomes

August 1, 2016

Completed
Last Updated

January 18, 2017

Status Verified

January 1, 2017

Enrollment Period

3.9 years

First QC Date

July 18, 2016

Last Update Submit

January 17, 2017

Conditions

Keywords

Natural scenesBrain basesVisual perceptionMRI

Outcome Measures

Primary Outcomes (1)

  • Identify brain bases of natural scenes's visual perception of the natural scenes

    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

Study Arms (3)

Expérience 1

OTHER

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

Other: Evaluation of visual functionOther: Magnetic Resonance Imaging

Expérience 2

OTHER

Brain bases of Computer to Film (CtF) analysis 30 young adults, 20 old adults

Other: Evaluation of visual functionOther: Magnetic Resonance Imaging

Expérience 3

OTHER

Part of parahippocampal gyrus in Computer to Film (CtF) analysis 30 young adults, 20 old adults.

Other: Evaluation of visual functionOther: Magnetic Resonance Imaging

Interventions

Expérience 1Expérience 2Expérience 3
Also known as: MRI
Expérience 1Expérience 2Expérience 3

Eligibility Criteria

Age4 Years+
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • 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

You may not qualify if:

  • 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
  • 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
  • Counter-argument to MRI
  • Pregnant, breast-feeding or parturient women
  • +17 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

UniversityHospitalGrenoble

La Tronche, 38700, France

Location

Related Publications (38)

  • Epstein R, Kanwisher N. A cortical representation of the local visual environment. Nature. 1998 Apr 9;392(6676):598-601. doi: 10.1038/33402.

    PMID: 9560155BACKGROUND
  • 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.

    PMID: 18716212BACKGROUND
  • 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.

    PMID: 19457939BACKGROUND
  • Guérin-Dugué, A., & Oliva, A. (1999). Natural images classification from distributions of local dominant orientations, 11th Scandinavian Conference on Image Analysis SCIA'99.

    BACKGROUND
  • Guérin-Dugué, A., & Oliva, A. (2000). Classification of scene photographs from local orientations features. Pattern Recognition Letters, 21, 1135-1140.

    BACKGROUND
  • 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.

    PMID: 17976895BACKGROUND
  • 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.

    PMID: 21636095BACKGROUND
  • 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

    BACKGROUND
  • 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.

    PMID: 20635BACKGROUND
  • 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.

    PMID: 23968149BACKGROUND
  • 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.

    PMID: 1529037BACKGROUND
  • 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.

    PMID: 8134247BACKGROUND
  • 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.

    PMID: 18387528BACKGROUND
  • Monoyer, F. (1875). Echelle typographique pour la détermination de l'acuité visuelle. (Acad. des Sciences, Comptes rendus). Gaz. Méd. De Paris, 80, 113.

    BACKGROUND
  • 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.

    PMID: 22675568BACKGROUND
  • Navon, D. (1977). Forest before trees: the precedence of global features in visual perception. Cognitive Psychology, 9, 353-383.

    BACKGROUND
  • 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.

    PMID: 10483929BACKGROUND
  • Oliva, A. (1995). Perception de scènes: Traitement fréquentiel du signal visuel aspects psychophysiques et neurophysiologiques. Institut National Polytechnique, Grenoble.

    BACKGROUND
  • 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.

    PMID: 9325010BACKGROUND
  • 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.

    PMID: 21273418BACKGROUND
  • 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.

    BACKGROUND
  • 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.

    PMID: 15488419BACKGROUND
  • 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.

    PMID: 14607164BACKGROUND
  • 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.

    PMID: 16443206BACKGROUND
  • 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.

    PMID: 16837115BACKGROUND
  • 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.

    PMID: 20044901BACKGROUND
  • 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.

    PMID: 15993630BACKGROUND
  • 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.

    PMID: 18194023BACKGROUND
  • 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.

    PMID: 21687636BACKGROUND
  • 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.

    PMID: 3797200BACKGROUND
  • Shulman GL, Wilson J. Spatial frequency and selective attention to local and global information. Perception. 1987;16(1):89-101. doi: 10.1068/p160089.

    PMID: 3671045BACKGROUND
  • 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.

    BACKGROUND
  • 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.

    PMID: 9509161BACKGROUND
  • 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.

    PMID: 10193048BACKGROUND
  • 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.

    PMID: 20828678BACKGROUND
  • 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.

    BACKGROUND
  • 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.

    PMID: 21047762BACKGROUND
  • 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.

    PMID: 12498741BACKGROUND

MeSH Terms

Interventions

Magnetic Resonance Spectroscopy

Intervention Hierarchy (Ancestors)

Spectrum AnalysisChemistry Techniques, AnalyticalInvestigative Techniques

Study Officials

  • Alexandre Krainik, Professor

    Grenoble Hospital University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 18, 2016

First Posted

July 21, 2016

Study Start

April 1, 2012

Primary Completion

March 1, 2016

Study Completion

August 1, 2016

Last Updated

January 18, 2017

Record last verified: 2017-01

Locations