Graphene-electrode array for brain map remodeling of the cortical surface

Minseok Lee, Sangwon Lee, Jejung Kim, Jeongsik Lim, Jinho Lee, Samer Masri, Shaowen Bao, Sunggu Yang, Jong Hyun Ahn, Sungchil Yang

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Cortical maps, which are indicative of cognitive status, are shaped by the organism’s experience. Previous mapping tools, such as penetrating electrodes and imaging techniques, are limited in their ability to be used to assess high-resolution brain maps largely owing to their invasiveness and poor spatiotemporal resolution, respectively. In this study, we developed a flexible graphene-based multichannel electrode array for electrocorticography (ECoG) recording, which enabled us to assess cortical maps in a time- and labor-efficient manner. The flexible electrode array, formed by chemical vapor deposition (CVD)-grown graphene, provided low impedance and electrical noise because a good interface between the graphene and brain tissue was created, which improved the detectability of neural signals. Furthermore, cortical map remodeling was induced upon electrical stimulation at the cortical surface through a subset of graphene spots. This result demonstrated the macroscale plasticity of cortical maps, suggesting perceptual enhancement via electrical rehabilitation at the cortical surface.

Original languageEnglish
Article number65
JournalNPG Asia Materials
Issue number1
Publication statusPublished - 2021 Dec

Bibliographical note

Funding Information:
This work was supported by the Technology Innovation Program (20012355, fully implantable closed-loop Brain to X for voice communication) funded by MOTIE, Korea and High Risk, High Return Research Program (2020) in the Incheon National University for Sunggu Yang and the National Research Foundation of Korea (NRF-2015R1A3A2066337) for J.-H Ahn. Sungchil Yang acknowledged grants from the Research Grants Council of Hong Kong (11102120 and 11102618).

Publisher Copyright:
© 2021, The Author(s).

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Materials Science(all)
  • Condensed Matter Physics


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