Customizing MRI-Compatible Multifunctional Neural Interfaces through Fiber Drawing
Customizing MRI-Compatible Multifunctional Neural Interfaces through Fiber Drawing
复制标题
通过光纤拉丝定制 MRI 兼容的多功能神经接口
DOI：
10.1002/adfm.202104857
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发表时间：
2021-08-06
影响因子：
19
通讯作者：
Anikeeva, Polina
中科院分区：
文献类型：
--
作者：
Antonini, Marc-Joseph;Sahasrabudhe, Atharva;Anikeeva, Polina
光纤拉丝技术能够可扩展地制造多功能柔性纤维，这些纤维集成了电、光和微流体模式来记录和调节神经活动。然而，材料热机械性能的限制阻碍了金属电极与低损耗聚合物波导的集成绘制，以实现同时进行电记录和光学神经调节。这里介绍了两种制造方法：1) 使用柔软的低熔点 (T-m) 金属铟进行迭代热拉拔，2) 使用传统的不可拉拔高 T-m 金属钨进行金属收敛拉拔。这两种方法都提供了具有低阻抗金属电极和低损耗波导的多功能柔性神经接口，能够在几周内记录小鼠的光学诱发和自发神经活动。这些纤维与轻型机械微驱动器 (1 g) 相结合，可以在长期植入后对小鼠的神经回路进行深度特定的询问。最后，证明了这些纤维与磁共振成像的兼容性，并将它们应用于通过集成通道实时可视化化学有效负载的输送。总之，这些进步扩展了基于纤维的神经探针在神经科学和神经工程中的应用领域。
Fiber drawing enables scalable fabrication of multifunctional flexible fibers that integrate electrical, optical, and microfluidic modalities to record and modulate neural activity. Constraints on thermomechanical properties of materials, however, have prevented integrated drawing of metal electrodes with low-loss polymer waveguides for concurrent electrical recording and optical neuromodulation. Here, two fabrication approaches are introduced: 1) an iterative thermal drawing with a soft, low melting temperature (T-m) metal indium, and 2) a metal convergence drawing with traditionally non-drawable high T-m metal tungsten. Both approaches deliver multifunctional flexible neural interfaces with low-impedance metallic electrodes and low-loss waveguides, capable of recording optically-evoked and spontaneous neural activity in mice over several weeks. These fibers are coupled with a light-weight mechanical microdrive (1 g) that enables depth-specific interrogation of neural circuits in mice following chronic implantation. Finally, the compatibility of these fibers with magnetic resonance imaging is demonstrated and they are applied to visualize the delivery of chemical payloads through the integrated channels in real time. Together, these advances expand the domains of application of the fiber-based neural probes in neuroscience and neuroengineering.