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Google, Mayo Clinic Builds New Type of AI Algorithm to Map Interactions Between Brain Regions




Neurostimulation is a powerful tool already used to treat chronic pain, anxiety depression, overactive bladder, etc. by sending electrical pulses to the areas of the brain associated with each condition.

Despite the success of the technology, it only works if the right area of ​​the brain is stimulated.

To provide a map of the path forward, the Mayo Clinic and Google Research brain teams are developing a new type of artificial intelligence algorithm that graphs neural connections across regions of the brain.

Using a technique called basis profile curve identification, the algorithm is deeper than traditional methods. In traditional methods, researchers monitor all areas of the brain for a wide range of responses to electrical pulses sent to only one area at a time. This method is limited by the difficulty of measuring thousands of network interactions at once. Many take complex and unique forms that cannot be measured by this universal framework.

Related: Brains Way, FDA Nods Magnetic Stimulator to Relieve Anxiety Depression

Instead, Mayo and Google researchers implanted an electrode array on the surface of the brain of a patient with a brain tumor. Before removing the tumor, the electrodes were repeatedly activated in short bursts. Each time it was activated, researchers collected hundreds to thousands of data points to show the effects of individual impulses on specific areas of the brain.

From there, AI algorithms were tasked with analyzing thousands of their interactions, characterizing them by their shape, and compiling them into a web map of connections across the brain.

This process is detailed in a study published this month in the journal PLOS Computational Biology. The study also allows other scientists to access new AI technologies and apply them to their neurological research projects.

Our findings may help this new type of algorithm understand which brain regions interact directly with each other, and the placement of electrodes for stimulation devices to treat networked brain disorders. Indicates that it may be useful in guiding you. , The lead author of the study and a neurosurgeon at the Mayo Clinic.

With the advent of new technologies, this type of algorithm may help to better treat patients with motor disorders such as epilepsy and Parkinson’s disease, and psychiatric disorders such as obsessive-compulsive disorder and depression, Miller said. I added.

Related: Google solidifies Mayo Clinic’s relationship with Rochester’s office space

The new algorithm is the latest product in a long-standing partnership between Mayo and Google Research. The duo originally teamed up in 2019, at which point partners developed decades of research collaborations built around Google’s cloud computing and AI technology.

Since then, after immediately starting to transfer the Mayos extended repository of patient health data to Google Cloud servers, they combined those data with Google AI to improve cancer radiation therapy and COVID-19 tracking. I built an algorithm to do.

In addition, earlier this year, Google opened its own satellite office right next to the Meios Rochester campus to show its dedication to its Minnesota-based partners.




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