Affiliation:
1. State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science Institute of Fiber Materials and Devices and Laboratory of Advanced Materials Fudan University Shanghai 200438 China
2. Vision Research Laboratory School of Life Sciences State Key Laboratory of Medical Neurobiology and Collaborative Innovation Center for Brain Science Fudan University Shanghai 200438 China
3. Department of Aeronautics and Astronautics Fudan University Shanghai 200433 China
4. School of Life Sciences Fudan University Shanghai 200433 China
Abstract
AbstractImplantable neural devices that record neurons in various states, including static states, light activities such as walking, and vigorous activities such as running, offer opportunities for understanding brain functions and dysfunctions. However, recording neurons under vigorous activities remains a long‐standing challenge because it leads to intense brain deformation. Thus, three key requirements are needed simultaneously for neural devices, that is, low modulus, low specific interfacial impedance, and high electrical conductivity, to realize stable device/brain interfaces and high‐quality transmission of neural signals. However, they always contradict each other in current material strategies. Here, a soft fiber neural device capable of stably tracking individual neurons in the deep brain of medium‐sized animals under vigorous activity is reported. Inspired by the axon architecture, this fiber neural device is constructed with a conductive gel fiber possessing a network‐in‐liquid structure using conjugated polymers and liquid matrices and then insulated with soft fluorine rubber. This strategy reconciles the contradictions and simultaneously confers the fiber neural device with low modulus (300 kPa), low specific impedance (579 kΩ µm2), and high electrical conductivity (32 700 S m−1) – ≈1–3 times higher than hydrogels. Stable single‐unit spike tracking in running cats, which promises new opportunities for neuroscience is demonstrated.
Funder
China Postdoctoral Science Foundation
National Natural Science Foundation of China
Ministry of Science and Technology of the People's Republic of China