Wireless Smart Neurostimulation System records from 10× more brain sites than current adaptive implants; a large-animal study demonstrates chronic sensing, neuralWireless Smart Neurostimulation System records from 10× more brain sites than current adaptive implants; a large-animal study demonstrates chronic sensing, neural

Nia Therapeutics Publishes Peer-Reviewed Validation of a 60-Channel Brain Implant for Closed-Loop Neurostimulation

2026/01/04 20:30
4 min read
For feedback or concerns regarding this content, please contact us at [email protected]

Wireless Smart Neurostimulation System records from 10× more brain sites than current adaptive implants; a large-animal study demonstrates chronic sensing, neural-state decoding, and programmable stimulation

ALLSTON, Mass.–(BUSINESS WIRE)–Nia Therapeutics announced publication in Brain Stimulation of the first in vivo validation of its Smart Neurostimulation System (SNS), a wireless, implantable brain-computer interface designed for closed-loop treatment of memory disorders.

The SNS records neural activity from 60 channels across four brain regions—an order-of-magnitude increase over commercially available devices. The NeuroPace RNS system, FDA-cleared for epilepsy, records from up to six channels; Medtronic’s Percept adaptive DBS system records from up to four.

This expanded sensing capacity reflects the distributed nature of memory, which arises from coordinated dynamics across widespread neural networks rather than from a single focal site.

“Most brain implants were developed for conditions in which a localized abnormal signal drives symptoms,” said Michael J. Kahana, PhD, co-founder and CEO of Nia Therapeutics and a professor at the University of Pennsylvania. “Decades of research show that memory depends on coordinated activity across distributed networks. The SNS was engineered to detect these patterns and respond with personalized stimulation.”

Preclinical Validation in Freely Moving Large Animals

In a chronic study of three sheep, the SNS demonstrated stable performance across core functions:

  • Neural-state decoding. Machine-learning classifiers distinguished movement from stillness with high accuracy (AUC 0.92–0.98), with performance stable throughout implantation.
  • Programmable neuromodulation. Systematic variation of stimulation parameters produced dose-dependent changes in alpha-band (8–12 Hz) and gamma-band (78–82 Hz) neural activity, confirming that stimulation reliably modulates physiological signals.
  • Biocompatibility. Histological analyses showed no adverse tissue response, with findings comparable to a commercially available control lead.

These results demonstrate that the SNS can chronically record distributed neural activity, decode behaviorally relevant brain states, and deliver stimulation with predictable effects—key prerequisites for future closed-loop neurostimulation therapies.

Building on a Decade of Human Memory Research

The SNS builds on federally funded research supported by DARPA and NIH. In prior human studies using externalized research systems, Kahana and colleagues recorded intracranial brain activity from hundreds of epilepsy patients performing memory tasks and showed that machine-learning models could predict, moment by moment, whether newly learned information would be remembered.

In sham-controlled clinical experiments, brief bursts of electrical stimulation delivered during classifier-identified poor-encoding states improved delayed recall by approximately 20%; stimulation delivered at random times produced no benefit. Those studies established the therapeutic principle underlying Nia’s approach but relied on devices unsuitable for chronic use.

This publication shows that the core capabilities required for memory-guided stimulation—high-density sensing, real-time decoding, and programmable neuromodulation—can be delivered in a fully implantable, wireless system,” said Daniel S. Rizzuto, PhD, co-founder and President of Nia Therapeutics.

Addressing an Unmet Clinical Need

Memory impairment is among the most common and disabling consequences of traumatic brain injury and age-related cognitive decline. Although recent disease-modifying drugs for early Alzheimer’s can slow progression, they do not restore lost function. Nia’s approach aims to complement such treatments by directly improving memory through targeted neuromodulation.

Nia Therapeutics is preparing for first-in-human studies, with regulatory submissions planned for 2026. The initial study will focus on patients with memory loss resulting from moderate-to-severe traumatic brain injury.

About Nia Therapeutics

Nia Therapeutics develops implantable brain-computer interfaces for memory disorders. Founded in 2018, the company’s SNS device supports closed-loop neuromodulation by detecting brain states linked to impaired memory encoding and delivering targeted stimulation. Visit www.niatx.com.

Publication Reference

Rizzuto DS, Herrema HG, Hu Z, Utin D, Kahn J, Ho C, Smiles A, Gross RE, Lega BC, Das SR, Kahana MJ. A wireless, 60-channel, AI-enabled neurostimulation platform. Brain Stimulation (2025). DOI: https://doi.org/10.1016/j.brs.2025.103013

Contacts

Media Contact
Michael Kahana, PhD, CEO, Nia Therapeutics, [email protected]

Market Opportunity
LoopNetwork Logo
LoopNetwork Price(LOOP)
$0.00645
$0.00645$0.00645
+2.18%
USD
LoopNetwork (LOOP) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Spot Bitcoin ETFs Face Outflows Despite Strong March Inflows

Spot Bitcoin ETFs Face Outflows Despite Strong March Inflows

Spot Bitcoin ETFs continue to attract attention as market dynamics shift rapidly. Recent data shows a short term pullback in investor activity. However, the broader
Share
Coinfomania2026/03/21 18:45
Strategy CEO: If Morgan Stanley allocates 2% to Bitcoin, it will bring in approximately $160 billion in funds.

Strategy CEO: If Morgan Stanley allocates 2% to Bitcoin, it will bring in approximately $160 billion in funds.

PANews reported on March 21 that, regarding Morgan Stanley's second revised S-1 filing for a spot Bitcoin ETF, Strategy CEO Phong Le stated that Morgan Stanley
Share
PANews2026/03/21 17:58
Fed’s 25bps cut sparks Bitcoin repricing: October breakout ahead?

Fed’s 25bps cut sparks Bitcoin repricing: October breakout ahead?

The post Fed’s 25bps cut sparks Bitcoin repricing: October breakout ahead? appeared on BitcoinEthereumNews.com. Journalist Posted: September 18, 2025 Key Takeaways How is BTC reacting to the Fed’s rate cut? Bitcoin is grinding +0.72%, range-bound, with flows measured and a potential long squeeze in play. What’s setting up Bitcoin for year-end? Dovish Fed signals, seasonal tailwinds, and aligned macro flows keep BTC primed for a potential ATH. No parabolic moves, just Bitcoin [BTC] grinding +0.72% intraday as the FOMC delivers its first 25 bps cut of 2025. The tape is cautious, with range-bound action signaling traders are sitting tight. What’s the takeaway? Market participants are still sizing up Q4, with Fed Chair Powell’s mixed signals on future rate cuts keeping flows measured, as Matt Mena, Crypto Research Strategist at 21Shares, told AMBCrypto. “The cut itself was widely priced in – what mattered more was the Fed’s updated dot plot. Futures markets had been discounting only a 50% chance of 4–5 cuts through the end of next year.” He added, “While today’s 25bps cut provided the spark, it is the path implied by the dots – more than the cut itself – that may set the stage for Bitcoin to challenge new highs into year-end.” Fed’s dot plot shapes BTC’s long-term positioning Bitcoin traders are leaning on the Fed’s dot plot to size up positioning.  According to the latest projections, the Fed is signaling two more 25bps cuts by year-end, pushing the target range down to 3.50%–3.75% from 4.00%–4.25%. In short, Bitcoin’s long-term positioning remains dovish. Powell’s inflation caution capped the short-term squeeze, keeping the tape range-bound. Yet the dot plot shows most Fed officials leaning toward two more cuts, keeping BTC positioned to grind toward new highs by year-end. “The dots leaned more dovish, signaling the Fed is open to accelerating the pace of easing if conditions demand it. That repricing risk is now…
Share
BitcoinEthereumNews2025/09/18 22:27