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Brain Mapping Using a Graphene Electrode Array
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Graphene and graphene-related materials as brain electrodes
Boyu Xu1, Jiahui Pei1, Liefeng Feng2
1Tianjin Key Laboratory of Brain Science and Neuroengineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China. xiaodongzhang@tju.edu.cn.
Journal of Materials Chemistry. B
|November 19, 2021
Summary
Graphene-based neural electrodes offer superior flexibility and resolution for brain-machine interfaces. This review highlights their advancements in neuron signal recording and stimulation for medical applications.
Area of Science:
- Neuroscience
- Materials Science
- Biomedical Engineering
Background:
- Neural electrodes are essential for acquiring neuron signals in brain-machine interfaces (BMIs).
- Next-generation neuron engineering and medical applications require advanced electrode technology.
- Traditional metallic electrodes have limitations in flexibility, stability, and resolution.
Purpose of the Study:
- To review recent progress in graphene-based neural electrodes.
- To explore their application in neuron signal recording, stimulation, and optical coupling.
- To provide an outlook on their role in nanotechnology-neuron interfaces and medical diagnosis.
Main Methods:
- Review of recent scientific literature on graphene and 2D material-based neural electrodes.
- Analysis of electrode properties: flexibility, stability, resolution, resistance, and optical transparency.
- Examination of applications in electrophysiological recording and stimulation.
Main Results:
- Graphene and 2D materials offer excellent physical properties for neural electrodes.
- Graphene-based electrodes demonstrate potential for high-resolution, flexible, and stable neuron signal acquisition.
- Advancements include graphene/polymer compounds and graphene-related materials for enhanced performance.
Conclusions:
- Graphene-based electrodes are promising for next-generation neural interfaces.
- These materials significantly advance neuron signal recording, stimulation, and optical coupling.
- Future developments will impact nanotechnology-neuron interfaces and medical diagnosis.

