EyeCoG: Eye movements as multidimensional signatures of cognitive and cerebral (dys)functioning

Post-doc: Louise Kauffmann
Laboratories : GIPSA-lab / LPNC

The investigation of eye movements using eye-tracking techniques has proven to be a useful way to non-invasively assess a wide range of cognitive processes or characterize dysfunctions linked to neuro-cognitive disorders. However, normative eye movement data are missing for abnormal profiles detection, characteristic of specific disorders and associated to cerebral dysfunctions. The EyeCoG project aims to address these issues by (1) recording eye movements in a large sample of healthy individuals (from young adults to elderly) as well as in a sample of patients with Parkinson’s disease (PD) during three specific tasks (e.g., pro- and anti-saccades, free exploration of scenes and saccadic choice task) in order to establish normative oculomotor signatures and detect deviations associated with PD and (2) detect using functional magnetic resonance imaging their corresponding neural correlates in order to identify reliable eye movement markers of normal and abnormal PD cerebral response in specific brain areas.

 


Published on June 11, 2018