Objective Closed-loop neuromodulatory therapies require devices that can both decode ongoing brain states and deliver multi-site stimulation. Methods We describe the Smart Neurostimulation System (SNS), a cranially mounted implant with 60 configurable recording/stimulation channels, inductive power, and onboard spectral-feature classification. In three freely-moving sheep we streamed local-field potentials and conducted two parameter sweep experiments. Results Cross-validated movement classifiers achieved an average AUC > 0.95. Increasing stimulation amplitude and frequency produced post-stimulation elevations in α-band (8-12 Hz) and γ-band (78-82 Hz) power at most target locations. Conclusion The SNS unifies high-density sensing, real-time brain state decoding, and programmable closed-loop stimulation in a single device, demonstrating behavioral-state prediction and parameter-dependent neuromodulation in vivo. Significance These findings establish a preclinical foundation for biomarker-guided stimulation targeting distributed cortical networks underlying memory and cognition. Highlights Wireless 60-channel implant enables simultaneous sensing and stimulation vine study demonstrates reliable classification of movement and stimulation-related modulation of spectral activity The SNS represents a platform for biomarker-guided neuromodulation therapies
A wireless, 60-channel, AI-enabled neurostimulation platform
D. Rizzuto,Haydn G. Herrema,Zhe Hu,Daniel Utin,Josh Kahn,C. Ho,Andrew Smiles,Robert E. Gross,Bradley C. Lega,Sandhitsu R. Das,M. J. Kahana
Published 2025 in bioRxiv
ABSTRACT
PUBLICATION RECORD
- Publication year
2025
- Venue
bioRxiv
- Publication date
2025-08-05
- Fields of study
Biology, Medicine, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-48 of 48 references · Page 1 of 1
CITED BY
- No citing papers are available for this paper.
Showing 0-0 of 0 citing papers · Page 1 of 1