HealthyFace-VoiceNCT03058133
Gender in Face-Voice Integration
A study testing fMRI study in people with Healthy, run by Hospices Civils de Lyon at 1 site in France.
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… Read more about this study
- Who is it for?
- Ages 18 to 40 yearsHealthy volunteers can take part
- Conditions the study is for
- Healthy
- What is being tested?
- fMRI study
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 38 participants
- Where
- 1 siteFrance
- Study dates
- 20 May 2016to 28 May 2018
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 40 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Healthy men and women, right-handed
- No neurological antecedent
- Signed informed consent
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Neural Correlates of Multimodal Face/Voice Processing in a Gender Task.
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.
- Conditions
- Healthy
- Being tested
- fMRI study
- Keywords
- fMRI, perception, face-voice processing
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
fMRI studyOther
Functional brain activations of face-voice processing during a gender task
| Study group | Role | What they receive |
|---|---|---|
| fMRI study | Other | Not described Receives: Other: fMRI study |
What is being measured
The primary outcome is the main question the study is designed to answer.
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).
Measured: 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).
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
Measured: 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).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Feb 2017
- Study start20 May 2016
- Primary completion28 May 2018
- Study completion28 May 2018
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for HealthyStudies of the same condition, open and under way.
- More trials run by Hospices Civils de LyonThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 38 participants (actual)
Sponsor and investigators
- Lead sponsor
- Hospices Civils de Lyon
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Alain NICOLAS, MD, Principal investigator, Le VINATIER
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03058133
- Sponsor's protocol ID
- 69HCL16_0674
- Acronym
- Face-Voice
- Status last verified
- Sep 2025
- First submitted
- 8 Feb 2017
- Last updated
- 15 Sep 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
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.
PubMed 20805488Wacongne 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.
PubMed 22423089Pegado 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.
PubMed 25422460Markov 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.
PubMed 24179228Charrier 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.
PubMed 22868568Gerardin 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):9. doi: 10.1167/14.4.9.
PubMed 24722563Abbatecola C, Kennedy H, Knoblauch K. Directed attention influences optimality of top-down and bottom-up multi-modal perceptual integration. Sci Rep. 2025 Jul 16;15(1):25742. doi: 10.1038/s41598-025-09542-6.
PubMed 40670460Abbatecola C, Gerardin P, Beneyton K, Kennedy H, Knoblauch K. The Role of Unimodal Feedback Pathways in Gender Perception During Activation of Voice and Face Areas. Front Syst Neurosci. 2021 May 28;15:669256. doi: 10.3389/fnsys.2021.669256. eCollection 2021.
PubMed 34122023
Study at a glance
From the registry record, last updated by the sponsor on 15 Sep 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Neural Correlates of Multimodal Face/Voice Processing in a Gender Task.
- ClinicalTrials.gov ID
- NCT03058133
- Acronym / sponsor ID
- Face-Voice / 69HCL16_0674
- Conditions
- Healthy
- Keywords
- fMRI, perception, face-voice processing
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 38 participants (actual)
- Lead sponsor
- Hospices Civils de LyonUniversity, hospital or other
- Study start
- 20 May 2016 (actual)
- Primary completion
- 28 May 2018 (actual)
- Study completion
- 28 May 2018 (actual)
- First posted
- 20 Feb 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| fMRI study | Other | Other: fMRI study |
Who may qualify
- Ages
- 18 to 40 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (3 listed)
- Healthy men and women, right-handed
- No neurological antecedent
- Signed informed consent
Key exclusion criteria (5 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| fMRI studyFunctional brain activations of face-voice processing during a gender task | Other | fMRI study |
Primary outcome
Identify neural correlates (fMRI) of face / voice interaction in a gender classification task
Time frame: 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
Time frame: 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
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Sep 2025.
- Background: PubMed 20805488Gerardin 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.
- Background: PubMed 22423089Wacongne 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.
- Background: PubMed 25422460Pegado 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.
- Background: PubMed 24179228Markov 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.
- Background: PubMed 22868568Charrier 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.
- Background: PubMed 24722563Gerardin 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):9. doi: 10.1167/14.4.9.
- Results publication: PubMed 40670460Abbatecola C, Kennedy H, Knoblauch K. Directed attention influences optimality of top-down and bottom-up multi-modal perceptual integration. Sci Rep. 2025 Jul 16;15(1):25742. doi: 10.1038/s41598-025-09542-6.
- Results publication: PubMed 34122023Abbatecola C, Gerardin P, Beneyton K, Kennedy H, Knoblauch K. The Role of Unimodal Feedback Pathways in Gender Perception During Activation of Voice and Face Areas. Front Syst Neurosci. 2021 May 28;15:669256. doi: 10.3389/fnsys.2021.669256. eCollection 2021.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Alain NICOLAS, MD principal investigator
Le VINATIER
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing fMRI study in people with Healthy, run by Hospices Civils de Lyon at 1 site in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 15 Sep 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Identify neural correlates (fMRI) of face / voice interaction in a gender classification task (time frame: 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).). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03058133, which also lists 8 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Sep 2025; AzTrials last refreshed its copy on 1 Nov 2026.