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Viewing behavior provides a window into many central aspects of human cognition and health, and it is an important variable in many functional magnetic resonance imaging (fMRI) studies. Researchers from the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and the Kavli Institute for Systems Neuroscience in Trondheim have now developed software that uses artificial intelligence to directly predict eye position and eye movements from MRI images. The method opens up rapid and cost-effective research and diagnostic possibilities, for example, in neurological diseases that often manifest as changes in eye-movement patterns.
To record eye movements, research institutions typically use a so-called eye tracker - a sensor technology in which infrared light is projected onto the retina, reflected, and eventually measured. "Because an MRI has a very strong magnetic field, you need special MRI-compatible equipment, which is often not feasible for clinics and small laboratories", says study author Matthias Nau, who developed the new alternative together with Markus Frey and Christian Doeller. The high cost of these cameras and the experimental effort involved in their use have so far prevented the widespread use of eye tracking in MRI examinations. That could now change. The scientists from Leipzig and Trondheim developed the easy-to-use software "DeepMReye" and provide it for free.