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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03058133
Other study ID # 69HCL16_0674
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date May 20, 2016
Est. completion date May 28, 2018

Study information

Verified date August 2018
Source Hospices Civils de Lyon
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Bayesian models of perception represent a promising approach to describe information processing by the brain. Predictive coding hypothesizes a process in which top-down expectations are continuously compared across multiple hierarchical levels with bottom-up sensory inputs and the differences or error signals are propagated in a bottom-up direction. The investigators hypothesize that strong expectations, are best investigated in expert processes such as face and voice recognition in humans. Individuals in complex social systems need to extract socially relevant information in a fast and efficient manner; hence, the majority of humans constitute face, voice and gender experts. Nevertheless, linking such combined abilities to brain activity with regards to the predictive coding hypothesis has not been attempted.Our results suggest asymmetric contributions of visual and auditory signals to the gender classification task. This sensitive psychophysical procedure is implemented in a decoding approach using fMRI and multi-voxel pattern analysis (MVPA). The investigators plan to test whether cortical areas implicated in processing auditory and visual gender signals show similar asymmetries.


Recruitment information / eligibility

Status Completed
Enrollment 38
Est. completion date May 28, 2018
Est. primary completion date May 28, 2018
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 40 Years
Eligibility Inclusion Criteria:

- Healthy men and women, right-handed

- No neurological antecedent

- Signed informed consent

Exclusion Criteria:

- Pregnant women

- Volunteers with MRI contraindications: persons using a pacemaker or insulin pump, persons with a metallic prosthesis or an intracerebral clip, as well as claustrophobic subjects, neurosensory stimulator or implantable defibrillator, cochlear implants, body Foreign ferromagnetic ocular or cerebral close to nerve structures, agitation of the subject (non-cooperating or agitated subjects), ventriculoperitoneal neurosurgical bypass valves, dental apparatus.

- Persons under guardianship, curatorship or any other administrative or judicial measure of deprivation of rights or liberty, as well as persons of legal age protected by law.

- Participants refusing to be informed of the results of the medical examination (inclusion).

- Participants refusing to be informed of the possible detection of an anomaly.

Study Design


Related Conditions & MeSH terms


Intervention

Other:
fMRI study
Functional brain activations of face-voice processing during a gender task

Locations

Country Name City State
France Le VINATIER Bron

Sponsors (1)

Lead Sponsor Collaborator
Hospices Civils de Lyon

Country where clinical trial is conducted

France, 

References & Publications (6)

Charrier C, Knoblauch K, Maloney LT, Bovik AC, Moorthy AK. Optimizing multiscale SSIM for compression via MLDS. IEEE Trans Image Process. 2012 Dec;21(12):4682-94. doi: 10.1109/TIP.2012.2210723. Epub 2012 Jul 30. — View Citation

Gerardin P, Devinck F, Dojat M, Knoblauch K. Contributions of contour frequency, amplitude, and luminance to the watercolor effect estimated by conjoint measurement. J Vis. 2014 Apr 10;14(4). pii: 9. doi: 10.1167/14.4.9. — View Citation

Gerardin P, Kourtzi Z, Mamassian P. Prior knowledge of illumination for 3D perception in the human brain. Proc Natl Acad Sci U S A. 2010 Sep 14;107(37):16309-14. doi: 10.1073/pnas.1006285107. Epub 2010 Aug 30. — View Citation

Markov NT, Ercsey-Ravasz M, Van Essen DC, Knoblauch K, Toroczkai Z, Kennedy H. Cortical high-density counterstream architectures. Science. 2013 Nov 1;342(6158):1238406. doi: 10.1126/science.1238406. Review. — View Citation

Pegado F, Comerlato E, Ventura F, Jobert A, Nakamura K, Buiatti M, Ventura P, Dehaene-Lambertz G, Kolinsky R, Morais J, Braga LW, Cohen L, Dehaene S. Timing the impact of literacy on visual processing. Proc Natl Acad Sci U S A. 2014 Dec 9;111(49):E5233-42. doi: 10.1073/pnas.1417347111. Epub 2014 Nov 24. — View Citation

Wacongne C, Changeux JP, Dehaene S. A neuronal model of predictive coding accounting for the mismatch negativity. J Neurosci. 2012 Mar 14;32(11):3665-78. doi: 10.1523/JNEUROSCI.5003-11.2012. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Identify neural correlates (fMRI) of face / voice interaction in a gender classification task Classical functional analyses (GLM) and advanced statistical analyses of brain activations (BrainVoyager and Matlab softwares). Maximum 90 days between inclusion of the subject and the 1st fMRI session (1h1 / 2). Then maximum 90 days before the 2nd session (1h1 / 2).
Primary Identify neural correlates (fMRI) of face / voice respective contribution in a gender classification task Classical functional analyses (GLM) and advanced statistical analyses of brain activations Maximum 90 days between inclusion of the subject and the 1st fMRI session (1h1 / 2). Then maximum 90 days before the 2nd session (1h1 / 2).
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