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FUNCTIONAL IMAGING

No camera needed with MR-based eye tracking

Nature Neuroscience volume 24, pages 1641–1642 (2021)Cite this article

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Using a deep neural network, Frey et al. are able to track participants’ eye movements using functional magnetic resonance imaging of the eyes. This technique can be applied across studies to new and old data alike, allowing retrospective analyses of past studies.

“There’s more to this than meets the eye.” Not all the information that makes it to the eyes is treated equally. Visual attention allows organisms to prioritize some types of information at the expense of others. Organisms often (though not always) move their eyes to focus on the prioritized information. This eye–mind link means that monitoring eye movements can often reveal what information the brain is preferentially processing.

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Fig. 1: Gaze decoding using DeepMReye.

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  1. Department of Psychology, Department of Economics, The Ohio State University, Columbus, OH, USA

    Ian Krajbich

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  1. Ian Krajbich
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Correspondence to Ian Krajbich.

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Krajbich, I. No camera needed with MR-based eye tracking. Nat Neurosci 24, 1641–1642 (2021). https://doi.org/10.1038/s41593-021-00942-1

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