Optogenetic Brain Interfaces
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Optogenetic_Brain_Interface_v3.pdf
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Author(s) • • • • • • • •
Pashaie, Ramin
Anikeeva, Polina Olegovna
Lee, Jin Hyung
Prakash, Rohit
Yizhar, Ofer
Prigge, Matthias
Chander, Divya
Richner, Thomas J.
Williams, Justin
Date Issued
April 2014
Journal
IEEE Reviews in Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Pashaie, Ramin, Polina Anikeeva, Jin Hyung Lee, Rohit Prakash, Ofer Yizhar, Matthias Prigge, Divya Chander, Thomas J. Richner, and Justin Williams. “Optogenetic Brain Interfaces.” IEEE Rev. Biomed. Eng. 7 (2014): 3–30.
Version
Author's final manuscript
Abstract
The brain is a large network of interconnected neurons where each cell functions as a nonlinear processing element. Unraveling the mysteries of information processing in the complex networks of the brain requires versatile neurostimulation and imaging techniques. Optogenetics is a new stimulation method which allows the activity of neurons to be modulated by light. For this purpose, the cell-types of interest are genetically targeted to produce light-sensitive proteins. Once these proteins are expressed, neural activity can be controlled by exposing the cells to light of appropriate wavelengths. Optogenetics provides a unique combination of features, including multimodal control over neural function and genetic targeting of specific cell-types. Together, these versatile features combine to a powerful experimental approach, suitable for the study of the circuitry of psychiatric and neurological disorders. The advent of optogenetics was followed by extensive research aimed to produce new lines of light-sensitive proteins and to develop new technologies: for example, to control the distribution of light inside the brain tissue or to combine optogenetics with other modalities including electrophysiology, electrocorticography, nonlinear microscopy, and functional magnetic resonance imaging. In this paper, the authors review some of the recent advances in the field of optogenetics and related technologies and provide their vision for the future of the field.
MIT Department
Massachusetts Institute of Technology. Department of Materials Science and Engineering
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DOI of Published Version
https://doi.org/10.1109/RBME.2013.2294796