Scientists from around the world have created an innovative graphene-based system that allows for continuous monitoring of brain activity, pinpointing regions most susceptible to further damage following a stroke. This advancement, validated in mouse models, promises to pave the way for more targeted therapeutic approaches.


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The study, featured in the journal ‘Brain’, collaborated with institutions including Spain’s CSIC, the University of Manchester, ICN2, and Multi Channel Systems.

During an ischemic stroke, a blockage disrupts blood flow to a section of the brain. However, damage can escalate due to electrical disturbances called spreading cortical depolarizations, which propagate through the affected tissue.

Previously, capturing these signals accurately has been difficult, with existing methods failing to record the very slow electrical shifts involved.

Graphene Technology Pinpoints Vulnerable Brain Regions

By implanting highly sensitive graphene sensors on mouse brains, the team recorded these electrical waves with exceptional clarity. The signal patterns enabled differentiation between healthy tissue, at-risk areas, and severely damaged regions.

Additionally, the signals predicted blood-flow changes: increasing in healthy zones to aid recovery, but potentially dropping further in vulnerable areas, exacerbating damage.

A Promising Avenue for Treatment Enhancement

Overall, this research demonstrates how advanced technologies can enhance brain activity monitoring while providing insights into lesion development and potential treatments,” notes Rob Wykes from the University of Manchester.

Anton Guimerà-Brunet from CSIC highlights that capturing low-frequency brain activity remains a technological hurdle. ‘Our graphene technology has been in development for years, with initial findings in 2018, and we’ve focused on standardizing and refining it for preclinical applications,’ he states.

This innovation stems from a long-standing collaboration between Spanish and UK institutions aimed at creating graphene-based brain signal recorders.

While still in preclinical stages, researchers anticipate that this technology could eventually enable real-time monitoring of brain tissue during strokes, identify high-risk patients, and aid in developing new therapies.

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