Neuroscience

Open Mind, a scientific model that relies on neuroscience

1. Classification

We have adopted the RDoC dimensional approach to mental health1, which echoes the WHO’s life skills model2, 3. This has allowed us to classify all our measurements into emotional, cognitive, and social skills.

2. Measurement environments

We have used virtual reality to build controlled, environmentally friendly measurement environments that draw on scientifically validated research protocols in large cohorts.

3. Biomarkers and measurement scales

We have carefully selected the relevant physiological sensors and measurements to identify biomarkers of mental well-being and assess life skills, with the same care being taken in our selection of psychometric measurement scales.

4. Data processing

We have constructed a largely open-source architecture for processing the multimodal data collected. These flexible processing platforms allow us to calculate an ever-increasing volume of scores using machine learning.

5. Quality assurance

We have checked our results to ensure that our model is valid. Therefore, when we combine all our measurements, we can predict the mental state in which a person has been immersed with approximately 90% certainty.

3 dimensions measured by our solutions

Physiological

Behavioural

Psychometric

Neurosciences : illustration représentant les 3 dimensions de mesure

A collaborative approach: 4 major scientific partnerships

Institut de Recherche Biomédicale des Armées (IRBA) ​

Research on the measurement of empathic ability and its involvement in emotional regulation.

Bitbrain

As part of the European Cross4Health project, development of a brain activity recording system compatible with virtual-reality immersion for the detection of early biomarkers of mental disorders.

Laboratoire Inter-universitaire de Psychologie​​

Study of brain-heart-gut interactions to better understand the effects of stress on the autonomic nervous system.

Centre d'Études Sport et Actions MotriceS (CESAMS)

Development of virtual reality-based tasks to measure and train visual-motor and attentional skills.

5 scientific publications and 2 patents

Coutrot A., Kibleur A., Le Chénéchal M., Lefranc B., Ramdani C., Trousselard M., Chatel- Goldman J., (2019) “Idiosyncratic face exploration strategy is influenced by face’s emotion type and observer’s empathic profile”, European Conference on Visual Perception

Coutrot A., Kibleur A., Le Chénéchal M., Lefranc B., Ramdani C., Trousselard M., Chatel- Goldman J. (2021). The influence of emotion and empathy on gaze patterns when exploring controlled static and ecological dynamic faces. 2021 Vision Science Society (VSS) conference.

Clisson P., Bertrand-Lalo R., Congedo M., Victor-Thomas G., Chatel-Goldman J. (2019) “Timeflux: an open-source framework for the acquisition and near real-time processing of signal streams”. Proc. In 8th Graz Brain-Computer Interface Conference

Kibleur A., Le Chénéchal M., Benguigui N., Chatel-Goldman J (2019) “Immersive Multiple Object Tracking using Virtual Reality. Pilot study on athletes and non sportive subjects”, VipImage Conference

Le Chénéchal, M., and Chatel-Goldman J. (2018) “HTC Vive Pro time performance benchmark for scientific research.” Proc. In ICAT-EGVE

Would you like to use our solutions based on neuroscience in your clinical research projects?

1 Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., … & Wang, P. (2010). Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.

2 OMS, UNESCO. Life skills education in schools. Genève : OMS, 1993

3 Mangrulkar L., Whitman C.V., Posner M. Life skills approach to child and adolescent healthy human development. Washington DC: Pan American Health Organization, 2001 : 61 p