1. Research Saves Lives
graphic of a circuit in the shape of a brain

The Power of Brain-Computer Interface Technology

The Power of Brain-Computer Interface Technology

Mount Sinai teams led by Joshua Bederson, MD, and Benjamin Rapoport, MD, PhD, are pushing the boundaries of how much data we can "read" from the brain. Together they are developing next-generation intracortical microelectrodes, or tiny sensors that provide high-bandwidth recordings of individual neurons. This precision development allows users to switch fluidly between complex tasks, such as controlling digital cursors and robotic limbs, navigating drones, and translating thoughts into synthesized speech.

In collaboration with industry partners such as Precision Neuroscience, the researchers are also utilizing high-density thin-film arrays (µECoG). These ultra-thin sensors sit on the surface of the brain like digital "skin," providing high-resolution data across large areas without the need to penetrate brain tissue. This technology is allowing the investigators to decode fine-motor intentions—such as individual finger movements—with minimal physical disruption.

From the Operating Room to the Living Room

One major hurdle for brain computer interfaces (BCIs) has been that the technology requires invasive brain surgery. Mount Sinai is overcoming this hurdle through a landmark partnership with Synchron, which utilizes endovascular BCIs. Rather than a traditional craniotomy, this system is implanted through blood vessels, like a heart stent. This less invasive approach has already enabled patients with severe paralysis to use BCI technology in their own homes for daily communication.

Solving the "Stability" Problem

Historically, another hurdle to overcome in this area is the tendency of BCI performance to degrade over time as brain signals shift due to fatigue or natural neuroplasticity. Mount Sinai is solving this problem through Adaptive AI. The investigators are pioneering "drift-resistant" algorithms that learn and evolve alongside the patient. By automatically adjusting to changes in neural activity, these systems remain stable and accurate, achieving over 90 percent accuracy in speech decoding that lasts for months or even years.

A New Frontier in Mental Health

Beyond physical movement, the research teams are also exploring what scientists call the "internal" brain. By decoding the neural signatures of emotion, motivation, and cognitive fatigue, the researchers are developing closed-loop neuromodulation. These "smart" systems sense a patient’s internal state in real time and deliver targeted therapy to treat psychiatric and cognitive disorders more effectively.

Defining the Next Era

Through Mount Sinai’s integration of advanced hardware, sophisticated AI, and patient-centered clinical trials, the Health System is turning the promise of neurotechnology into a clinical reality.

Meet the Lead Researchers