Healthy
Conditions
Keywords
fMRI, perception, face-voice processing
Brief 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.
Interventions
OTHERfMRI study
Functional brain activations of face-voice processing during a gender task
Sponsors
Hospices Civils de Lyon
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 40 Years
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Identify neural correlates (fMRI) of face / voice interaction in a gender classification task | 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). | Classical functional analyses (GLM) and advanced statistical analyses of brain activations (BrainVoyager and Matlab softwares). |
| Identify neural correlates (fMRI) of face / voice respective contribution in a gender classification task | 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). | Classical functional analyses (GLM) and advanced statistical analyses of brain activations |
Countries
France
Outcome results
None listed