Next-generation interfaces for studying neural function

被引:184
作者
Frank, James A. [1 ,2 ]
Antonini, Marc-Joseph [1 ,2 ,3 ]
Anikeeva, Polina [1 ,2 ,4 ]
机构
[1] MIT, Res Lab Elect, Cambridge, MA 02139 USA
[2] MIT, McGovern Inst Brain Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Harvard MIT Hlth Sci & Technol Grad Program, Cambridge, MA USA
[4] MIT, Dept Mat Sci & Engn, Cambridge, MA 02139 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
MICROELECTRODE ARRAY; TEMPORAL RESOLUTION; OPTOGENETIC CONTROL; DOPAMINE DETECTION; TRAINING SETS; BRAIN; DYNAMICS; MICRODIALYSIS; PROBES; STIMULATION;
D O I
10.1038/s41587-019-0198-8
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
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.
引用
收藏
页码:1013 / 1023
页数:11
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