Chronic Probing of Deep Brain Neuronal Activity Using Nanofibrous Smart Conducting Hydrogel-Based Brain-Machine Interface Probes.

IF 11.1 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Small Science Pub Date : 2025-01-28 eCollection Date: 2025-05-01 DOI:10.1002/smsc.202400463
Seyed Shahrooz Zargarian, Chiara Rinoldi, Yasamin Ziai, Anna Zakrzewska, Roberto Fiorelli, Małgorzata Gazińska, Martina Marinelli, Magdalena Majkowska, Paweł Hottowy, Bartosz Mindur, Rafał Czajkowski, Ewa Kublik, Paweł Nakielski, Massimiliano Lanzi, Leszek Kaczmarek, Filippo Pierini
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引用次数: 0

Abstract

The mechanical mismatch between microelectrode of brain-machine interfaces (BMIs) and soft brain tissue during electrophysiological investigations leads to inflammation, glial scarring, and compromising performance. Herein, a nanostructured, stimuli-responsive, conductive, and semi-interpenetrating polymer network hydrogel-based coated BMIs probe is introduced. The system interface is composed of a cross-linkable poly(N-isopropylacrylamide)-based copolymer and regioregular poly[3-(6-methoxyhexyl)thiophene] fabricated via electrospinning and integrated into a neural probe. The coating's nanofibrous architecture offers a rapid swelling response and faster shape recovery compared to bulk hydrogels. Moreover, the smart coating becomes more conductive at physiological temperatures, which improves signal transmission efficiency and enhances its stability during chronic use. Indeed, detecting acute neuronal deep brain signals in a mouse model demonstrates that the developed probe can record high-quality signals and action potentials, favorably modulating impedance and capacitance. Evaluation of in vivo neuronal activity and biocompatibility in chronic configuration shows the successful recording of deep brain signals and a lack of substantial inflammatory response in the long-term. The development of conducting fibrous hydrogel bio-interface demonstrates its potential to overcome the limitations of current neural probes, highlighting its promising properties as a candidate for long-term, high-quality detection of neuronal activities for deep brain applications such as BMIs.

利用纳米纤维智能导电水凝胶脑机接口探针慢性探测深部脑神经元活动。
在电生理研究中,脑机接口微电极(bmi)与软脑组织之间的机械不匹配会导致炎症、神经胶质瘢痕和性能降低。本文介绍了一种纳米结构的、刺激响应的、导电的、半互穿的聚合物网络水凝胶涂覆的bmi探针。该系统界面由可交联的聚(n -异丙基丙烯酰胺)共聚物和通过静电纺丝制备的区域规则聚[3-(6-甲氧基己基)噻吩]组成,并集成到神经探针中。与散装水凝胶相比,该涂层的纳米纤维结构提供了快速的膨胀反应和更快的形状恢复。此外,智能涂层在生理温度下具有更强的导电性,提高了信号传输效率,增强了其在长期使用中的稳定性。事实上,在小鼠模型中检测急性神经元深部脑信号表明,开发的探针可以记录高质量的信号和动作电位,有利于调制阻抗和电容。对慢性配置的体内神经元活性和生物相容性的评估表明,成功记录了深部脑信号,并且长期缺乏实质性的炎症反应。导电纤维水凝胶生物界面的发展证明了其克服当前神经探针局限性的潜力,突出了其作为脑深部应用(如bmi)长期、高质量检测神经元活动的候选物的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.00
自引率
2.40%
发文量
0
期刊介绍: Small Science is a premium multidisciplinary open access journal dedicated to publishing impactful research from all areas of nanoscience and nanotechnology. It features interdisciplinary original research and focused review articles on relevant topics. The journal covers design, characterization, mechanism, technology, and application of micro-/nanoscale structures and systems in various fields including physics, chemistry, materials science, engineering, environmental science, life science, biology, and medicine. It welcomes innovative interdisciplinary research and its readership includes professionals from academia and industry in fields such as chemistry, physics, materials science, biology, engineering, and environmental and analytical science. Small Science is indexed and abstracted in CAS, DOAJ, Clarivate Analytics, ProQuest Central, Publicly Available Content Database, Science Database, SCOPUS, and Web of Science.
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