Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Curr Opin Neurobiol. 2018 Jun;50:33-41. doi: 10.1016/j.conb.2017.11.007. Epub 2017 Dec 1.
Existing implantable neurotechnologies for understanding the brain and treating neurological diseases have intrinsic properties that have limited their capability to achieve chronically-stable brain interfaces with single-neuron spatiotemporal resolution. These limitations reflect what has been dichotomy between the structure and mechanical properties of living brain tissue and non-living neural probes. To bridge the gap between neural and electronic networks, we have introduced the new concept of mesh electronics probes designed with structural and mechanical properties such that the implant begins to 'look and behave' like neural tissue. Syringe-implanted mesh electronics have led to the realization of probes that are neuro-attractive and free of the chronic immune response, as well as capable of stable long-term mapping and modulation of brain activity at the single-neuron level. This review provides a historical overview of a 10-year development of mesh electronics by highlighting the tissue-like design, syringe-assisted delivery, seamless neural tissue integration, and single-neuron level chronic recording stability of mesh electronics. We also offer insights on unique near-term opportunities and future directions for neuroscience and neurology that now are available or expected for mesh electronics neurotechnologies.
现有的用于理解大脑和治疗神经疾病的植入式神经技术具有固有特性,这些特性限制了其实现具有单神经元时空分辨率的慢性稳定脑接口的能力。这些限制反映了活脑组织的结构和机械性能与非生命神经探针之间的二分法。为了弥合神经和电子网络之间的差距,我们引入了新的网格电子探针概念,其设计具有结构和机械性能,使得植入物开始“看起来和表现得”像神经组织。注射器植入的网格电子已经实现了神经吸引力和慢性免疫反应的探针,以及能够在单神经元水平上稳定长期映射和调节大脑活动。本综述通过突出网格电子的组织样设计、注射器辅助传递、无缝神经组织整合以及单神经元水平慢性记录稳定性,提供了网格电子 10 年发展的历史概述。我们还提供了有关网格电子神经技术的独特近期机会和未来方向的见解。