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The implant decodes memory states from neural activity on 60 channels spanning four brain regions.
Nia Therapeutics’ Smart Neurostimulation System (SNS) has earned U.S. Food and Drug Administration (FDA) Breakthrough Device Designation for episodic memory loss treatment in adult patients with moderate-to-severe traumatic brain injury (TBI) and persistent memory deficits.
The company said its SNS is the first device to receive Breakthrough designation for TBI-related memory loss. There are currently no FDA-cleared or approved therapies to treat memory loss; more than 4.3 million Americans living with a TBI-related disability.1
“The Breakthrough designation validates the approach we’ve spent a decade building—that memory can be improved by listening to the brain and stimulating at precisely the right moment,” Nia Therapeutics Co-Founder/CEO Michael Kahana, Ph.D., the Edmund and Louise Kahn Term Professor at the University of Pennsylvania. “This designation provides a framework to work closely with the FDA as we bring this technology from the laboratory into the clinic.”
The SNS is a fully implantable, wireless neuromodulation platform that records neural activity from 60 channels across four brain regions. Using machine-learning classifiers trained on each patient’s brain signals, the device detects moments of impaired memory encoding in real time, and delivers targeted electrical stimulation to the lateral temporal cortex. This closed-loop approach improved recall by 19% in a randomized, sham-controlled study of neurosurgical patients with epilepsy and a history of moderate-to-severe TBI.2 Randomly timed stimulation produced no benefit, underscoring the importance of delivering therapy at the right moment.3
“Memory depends on coordinated activity across widespread brain networks—so we built a device that can sense and respond across the entire network. With 60 channels across four brain regions, the SNS offers an order of magnitude improvement over currently approved DBS devices,” Nia Therapeutics Co-Founder/Chief Technology Officer Daniel Rizzuto, Ph.D., stated.
The FDA’s Breakthrough Device designation provides Nia Therapeutics with prioritized review, increased agency interaction, and senior management involvement in future submissions. Building on the first in vivo validation of the SNS platform in a large-animal model, published in Brain Stimulation in 2026, this designation will support the company in submitting an Investigational Device Exemption (IDE) application this year for permission to conduct a first-in-human early feasibility study.
“Patients with TBI-related memory loss represent a profoundly underserved population,” said Dr. Ramon Diaz-Arrastia, presidential professor of Neurology, director of the TBI Clinical Research Center at the University of Pennsylvania, and Nia Therapeutics advisor. “Their disability is invisible but devastating—it affects the ability to work, maintain relationships, and live independently. We are committed to bringing them the first treatment that directly restores the capacity to form new memories.”
Nia Therapeutics develops implantable brain-computer interfaces for memory disorders. Founded in 2018, the company’s SNS platform enables closed-loop neuromodulation by detecting brain states linked to impaired memory encoding and delivering targeted stimulation.
References1 Center for Disease Control and Prevention. (2015). Report to Congress on traumatic brain injury in the United States: Epidemiology and rehabilitation (cdc:29215). https://stacks.cdc.gov/view/cdc/292152 Kahana, M. J., Ezzyat, Y ., Wanda, P. A., Solomon, E. A., Adamovich-Zeitlin, R., Lega, B. C., Jobst, B. C., Gross, R. E., Ding, K., & Diaz-Arrastia, R. R. (2023). Biomarker-guided neuromodulation aids memory in traumatic brain injury. Brain Stimulation, 16(4), 1086–1093. https://doi.org/10.1016/j.brs.2023.07.0023 Ezzyat, Y ., Kragel, J. E., Solomon, E. A., Lega, B. C., Aronson, J. P., Jobst, B. C., Gross, R. E., Sperling, M. R., Worrell, G. A., Sheth, S. A., Wanda, P. A., Rizzuto, D. S., & Kahana, M. J. (2024). Functional and anatomical connectivity predict brain stimulation’s mnemonic effects. Cerebral Cortex, 34(1), bhad427. https://doi.org/10.1093/cercor/bhad427
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