Transparent, flexible graphene–ITO-based neural microelectrodes for simultaneous electrophysiology recording and calcium imaging of intracortical neural activity in freely moving mice

To understand the complex dynamics of neural activity in the brain across various temporal and spatial scales, it is crucial to record intracortical multimodal neural activity by combining electrophysiological recording and calcium imaging techniques. This poses significant constraints on the geometrical, mechanical, and optical properties of the electrodes. Here, transparent flexible graphene-ITO-based neural microelectrodes with small feature sizes are developed and validated for simultaneous electrophysiology recording and calcium imaging in the hippocampus of freely moving mice. A micro-etching technique and an oxygen plasma pre-treating method are introduced to facilitate large-area graphene transfer and establish stable low-impedance contacts between graphene and metals, leading to the batch production of high-quality microelectrodes with interconnect widths of 10 μm and recording sites diameters of 20 μm. These electrodes exhibit appropriate impedance and sufficient transparency in the field of view, enabling simultaneous recording of intracortical local field potentials and even action potentials along with calcium imaging in freely moving mice. Both types of electrophysiological signals are found to correlate with calcium activity. This proof-of-concept work demonstrates that transparent flexible graphene-ITO-based neural microelectrodes are promising tools for multimodal neuroscience research.

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Publication Details

Journal
Microsystems & Nanoengineering
Published
2025-02-24
DOI
https://doi.org/10.1038/s41378-025-00873-y
Citations
9
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
8.18
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article

Transparent, flexible graphene–ITO-based neural microelectrodes for simultaneous electrophysiology recording and calcium imaging of intracortical neural activity in freely moving mice

Guo‐Qiang Bi, Rongyu Tang, Weihua Pei, Baoqiang Li et al.
9 citations
Microsystems & Nanoengineering
Neuroscience and Neural Engineering
8.18
article

Transparent, flexible graphene–ITO-based neural microelectrodes for simultaneous electrophysiology recording and calcium imaging of intracortical neural activity in freely moving mice

Guo‐Qiang Bi, Rongyu Tang, Weihua Pei, Baoqiang Li, Yang Wang, Fei Ran Li, Yijun Wang, Xue Feng, Yuan Miao
article en
9 citations

Abstract

To understand the complex dynamics of neural activity in the brain across various temporal and spatial scales, it is crucial to record intracortical multimodal neural activity by combining electrophysiological recording and calcium imaging techniques. This poses significant constraints on the geometrical, mechanical, and optical properties of the electrodes. Here, transparent flexible graphene-ITO-based neural microelectrodes with small feature sizes are developed and validated for simultaneous electrophysiology recording and calcium imaging in the hippocampus of freely moving mice. A micro-etching technique and an oxygen plasma pre-treating method are introduced to facilitate large-area graphene transfer and establish stable low-impedance contacts between graphene and metals, leading to the batch production of high-quality microelectrodes with interconnect widths of 10 μm and recording sites diameters of 20 μm. These electrodes exhibit appropriate impedance and sufficient transparency in the field of view, enabling simultaneous recording of intracortical local field potentials and even action potentials along with calcium imaging in freely moving mice. Both types of electrophysiological signals are found to correlate with calcium activity. This proof-of-concept work demonstrates that transparent flexible graphene-ITO-based neural microelectrodes are promising tools for multimodal neuroscience research.

Microsystems & NanoengineeringVol. 11(1)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), State Key Laboratory on Integrated Optoelectronics (CN), HKUST Shenzhen Research Institute (CN), Hefei National Center for Physical Sciences at Nanoscale (CN), Shenzhen Institutes of Advanced Technology (CN), Institute of Semiconductors (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 2%
Neuroscience and Neural Engineering
8.18
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