Contribution of Virtual Reality Eye Tracking in the Identification of Schizophrenia, Bipolar and Depression

Schizophrenia (SCZ), bipolar disorder (BP), and depression (DEP) are systematically associated with a severe impairment of the overall abilities of patients, which precludes them from functioning adequately in daily life. A large body of literature emphasises the importance of identifying specific markers for these pathologies to prevent or anticipate the emergence of new psychopathological symptoms. As a result, one of the current research challenges is to develop new, faster, and more reliable tools. Eye movements are physiological signs involving brain areas that control cognitive processes. These same processes could be altered in psychiatric disorders, and these alterations could produce many eye movement abnormalities. The literature highlights some eye movement abnormalities specific to each targeted pathology. However, to our knowledge, no study has compared eye movement abnormalities in a virtual environment projected in a head-mounted display (HMD). The investigators hypothesised that an eye tracker connected to an HMD could identify specific eye movement abnormalities of SCZ, BP, and DEP. Recording eye movements specific to these pathologies in pseudo-ecological situations could lead to better identification methods.

NCT Number	NCT07057024
Lead Sponsor	Etablissement Public de Santé Barthélemy Durand Collaborators: Aix Marseille Université, Institut National de la Santé Et de la Recherche Médicale, France, Hopital Paul Brousse
Conditions	Psychiatric Disorders (Diagnosis)
Enrollment	120 participants
Start Date	2026-02-12
Primary Completion	2028-02 (estimated)
Study Completion	2029-02 (estimated)
Updated on ClinicalTrials.gov	2026-03-06