Next-generation interfaces for studying neural function

被引:0
|
作者
James A. Frank
Marc-Joseph Antonini
Polina Anikeeva
机构
[1] Massachusetts Institute of Technology,Research Laboratory of Electronics
[2] Massachusetts Institute of Technology,McGovern Institute for Brain Research
[3] Harvard/MIT Health Science & Technology Graduate Program,Department of Material Science and Engineering
[4] Massachusetts Institute of Technology,undefined
来源
Nature Biotechnology | 2019年 / 37卷
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摘要
Monitoring and modulating the diversity of signals used by neurons and glia in a closed-loop fashion is necessary to establish causative links between biochemical processes within the nervous system and observed behaviors. As developments in neural-interface hardware strive to keep pace with rapid progress in genetically encoded and synthetic reporters and modulators of neural activity, the integration of multiple functional features becomes a key requirement and a pressing challenge in the field of neural engineering. Electrical, optical and chemical approaches have been used to manipulate and record neuronal activity in vivo, with a recent focus on technologies that both integrate multiple modes of interaction with neurons into a single device and enable bidirectional communication with neural circuits with enhanced spatiotemporal precision. These technologies not only are facilitating a greater understanding of the brain, spinal cord and peripheral circuits in the context of health and disease, but also are informing the development of future closed-loop therapies for neurological, neuro-immune and neuroendocrine conditions.
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页码:1013 / 1023
页数:10
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