Author
Listed:
- Duygu Kuzum
(University of Pennsylvania
Center for Neuroengineering and Therapeutics, University of Pennsylvania)
- Hajime Takano
(Center for Neuroengineering and Therapeutics, University of Pennsylvania
Children's Hospital of Philadelphia
Perelman School of Medicine, University of Pennsylvania
Perelman School of Medicine, University of Pennsylvania)
- Euijae Shim
(Perelman School of Medicine, University of Pennsylvania
University of Pennsylvania)
- Jason C. Reed
(University of Pennsylvania)
- Halvor Juul
(Perelman School of Medicine, University of Pennsylvania)
- Andrew G. Richardson
(Center for Neuroengineering and Therapeutics, University of Pennsylvania
Perelman School of Medicine, University of Pennsylvania)
- Julius de Vries
(Center for Neuroengineering and Therapeutics, University of Pennsylvania
Perelman School of Medicine, University of Pennsylvania)
- Hank Bink
(University of Pennsylvania
Center for Neuroengineering and Therapeutics, University of Pennsylvania)
- Marc A. Dichter
(Perelman School of Medicine, University of Pennsylvania)
- Timothy H. Lucas
(Center for Neuroengineering and Therapeutics, University of Pennsylvania
Perelman School of Medicine, University of Pennsylvania)
- Douglas A. Coulter
(Center for Neuroengineering and Therapeutics, University of Pennsylvania
Children's Hospital of Philadelphia
Perelman School of Medicine, University of Pennsylvania
Perelman School of Medicine, University of Pennsylvania)
- Ertugrul Cubukcu
(Center for Neuroengineering and Therapeutics, University of Pennsylvania
University of Pennsylvania
University of Pennsylvania)
- Brian Litt
(University of Pennsylvania
Center for Neuroengineering and Therapeutics, University of Pennsylvania
Perelman School of Medicine, University of Pennsylvania)
Abstract
Calcium imaging is a versatile experimental approach capable of resolving single neurons with single-cell spatial resolution in the brain. Electrophysiological recordings provide high temporal, but limited spatial resolution, because of the geometrical inaccessibility of the brain. An approach that integrates the advantages of both techniques could provide new insights into functions of neural circuits. Here, we report a transparent, flexible neural electrode technology based on graphene, which enables simultaneous optical imaging and electrophysiological recording. We demonstrate that hippocampal slices can be imaged through transparent graphene electrodes by both confocal and two-photon microscopy without causing any light-induced artefacts in the electrical recordings. Graphene electrodes record high-frequency bursting activity and slow synaptic potentials that are hard to resolve by multicellular calcium imaging. This transparent electrode technology may pave the way for high spatio-temporal resolution electro-optic mapping of the dynamic neuronal activity.
Suggested Citation
Duygu Kuzum & Hajime Takano & Euijae Shim & Jason C. Reed & Halvor Juul & Andrew G. Richardson & Julius de Vries & Hank Bink & Marc A. Dichter & Timothy H. Lucas & Douglas A. Coulter & Ertugrul Cubukc, 2014.
"Transparent and flexible low noise graphene electrodes for simultaneous electrophysiology and neuroimaging,"
Nature Communications, Nature, vol. 5(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6259
DOI: 10.1038/ncomms6259
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