Researchers advance deep brain stimulation research and signal precision

Researchers have made advancements in understanding and optimizing deep brain stimulation (DBS), a therapy used to treat movement disorders like Parkinson’s disease.

A study published in Neuromodulation demonstrates a new method to accurately estimate monopolar local field potential (LFP) power from bipolar recordings using a linear regression model. This approach provides a hardware-agnostic way to improve the spatial precision of signals, which can better inform DBS programming and adaptive stimulation in implanted devices.

In a separate study published in Nature, researchers from UT Southwestern Medical Center and UCLA identified cellular and molecular mechanisms that explain how DBS works. By developing a method to keep surgically extracted human brain tissue alive in a laboratory setting, the team was able to observe how electrical impulses modify neuronal assemblies and surrounding cellular systems. This research suggests that DBS may act by reshaping the neural building blocks of thoughts and memories, potentially leading to improved treatments for movement disorders and neuropsychiatric conditions.