神经刺激
无线
频道(广播)
计算机科学
计算机网络
医学
神经科学
电信
心理学
刺激
作者
Daniel S. Rizzuto,Zhe Hu,Daniel Utin,Joshua Kahn,Chris Ho,Andrew Smiles,Robert A. Gross,Bradley Lega,Sandhitsu R. Das,Michael J. Kahana,Michael J. Kahana
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-02-06
标识
DOI:10.1101/2025.02.04.635298
摘要
Abstract 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
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