What is it about?
This study explores the feasibility of using a minimally invasive endovascular neural interface (ENI) to record and interpret visual information directly from the brain. This approach involves implanting a stent-electrode array within the brain's blood vessels, eliminating the need for open-brain surgery. In the study, we implanted ENIs into the visual cortex of sheep and recorded visually evoked potentials (VEPs)—the brain's electrical responses to visual stimuli. These recordings were then decoded to determine the specific visual inputs. We demonstrated the potential of ENIs to capture meaningful neural signals related to vision.
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Why is it important?
The significance of this research lies in its demonstration that ENIs can effectively record and decode visual information, offering a less invasive alternative to traditional brain-computer interface (BCI) methods. This open the pathway to decode contextual visual input of the users surrounding for brain computer interfaces. This could pave the way for new BCI applications, particularly for individuals with neurological conditions where conventional surgical approaches pose significant risks.
Perspectives
Working on this article was a great pleasure, it started an an honours project, then continued as a masters project and then finally brought together by several collaborators. This project marks an exciting milestone for our group, demonstrating for the first time that a minimally invasive endovascular neural interface can decode visual brain activity. Read more: https://doi.org/10.1088/1741-2552/addb7c
Sam John
University of Melbourne
Read the Original
This page is a summary of: Decoding cortical responses from visual input using an endovascular brain–computer interface, Journal of Neural Engineering, May 2025, Institute of Physics Publishing,
DOI: 10.1088/1741-2552/addb7c.
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