Mayo and Google Research Develop New AI Algorithm to Improve Brain Stimulating Devices to Treat Diseases



To make the problem manageable, researchers at the Mayo Clinic have developed a set of paradigms, or viewpoints, that simplify comparisons between the effects of electrical stimulation on the brain. Because a mathematical technique to characterize how input assemblies converge in regions of the human brain did not exist in the scientific literature, the Mayo team collaborated with an international expert in artificial intelligence (AI) algorithms ) to develop a new type of algorithm called “basic profile identification curve.”

In a study published in PLOS Computational Biology, a patient with a brain tumor underwent the placement of an array of electrocorticographic electrodes to locate seizures and map brain function before a tumor was removed. Each electrode interaction resulted in hundreds to thousands of time points to be investigated using the new algorithm.

“Our results show that this new type of algorithm can help us understand which regions of the brain directly interact with each other, which in turn can help guide the placement of electrodes to stimulate devices to treat disease. networked brain, ”says Kai Miller, MD, PhD, Mayo Clinic neurosurgeon and study lead author. “As new technologies emerge, this type of algorithm can help us better treat patients with epilepsy, movement disorders like Parkinson’s disease, and psychiatric illnesses like obsessive-compulsive disorder and depression. “

In the study, the authors provide a downloadable code package so that others can explore the technique. “Sharing the code developed is at the heart of our efforts to help research reproducibility,” says Dora Hermes, Ph.D., biomedical engineer at the Mayo Clinic and lead author.

This research was supported by the National Institutes of Health’s National Center for Advancing Translational Science Clinical and Translational Science Award, National Institute of Mental Health Collaborative Research in Computational Neuroscience, and the Federal Ministry of Education and Research.


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