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Nat Biotechnol. 2019 Aug 12. doi: 10.1038/s41587-019-0198-8. [Epub ahead of print]

Next-generation interfaces for studying neural function.

Author information

1
Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
2
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
3
Harvard/MIT Health Science & Technology Graduate Program, Cambridge, MA, USA.
4
Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA. anikeeva@mit.edu.
5
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. anikeeva@mit.edu.
6
Department of Material Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. anikeeva@mit.edu.

Abstract

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.

PMID:
31406326
DOI:
10.1038/s41587-019-0198-8

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