ArticleAdvanced healthcare materials2025
Transparent MXene Microelectrode Arrays for Multimodal Mapping of Neural Dynamics.
Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Review
- Artifact-free, colocalized opto-electrophysiology enabled by a flexible, multimodal interface integrating transparent MXene microelectrodes and microLEDs.Biosensors & bioelectronics · 2026Article
- Size Scaling of the Electrochemical Performance of TiSmall (Weinheim an der Bergstrasse, Germany) · 2026Article
- MXene Nanomaterial Interfaces: Pioneering Neural Signal Recording for Brain-Computer Interfaces and Cognitive Therapy.Topics in current chemistry (Cham) · 2026Review
- Transparent Transfer-Free Ultrasmall Multilayer Graphene Microelectrodes Enable High Quality Recordings in Brain Slices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Size Scaling of the Electrochemical Performance of TibioRxiv : the preprint server for biology · 2026Article
- A self-wrapping, bioresorbable neural interface for wireless multimodal therapy of localized peripheral nerve injury.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Facile Deep Brain Electrode Coating with MXene for Improved Electrode Performance.Advanced healthcare materials · 2026Article
- Guides for Developing Hundreds of Novel Chiral MXenes and MBenes Nanosheets/Quantum Dots for Next-Generation Chiral Engineered Biomaterials Applications.Advanced healthcare materials · 2025Review
- Functional Nanomaterials for Advanced Bioelectrode Interfaces: Recent Advances in Disease Detection and Metabolic Monitoring.Sensors (Basel, Switzerland) · 2025Review
- Transparent MXene Microelectrode Arrays for Multimodal Mapping of Neural Dynamics.Advanced healthcare materials · 2025Article
- From microelectrode arrays to all-optical and multimodal neural interfaces: emerging platforms for spatiotemporal interrogation ofFrontiers in synaptic neuroscience · 2025Review
- A Signal-On Microelectrode Electrochemical Aptamer Sensor Based on AuNPs-MXene for Alpha-Fetoprotein Determination.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Transparent microelectrode arrays have proven useful in neural sensing, offering a clear interface for monitoring brain activity without compromising high spatial and temporal resolution. The current landscape of transparent electrode technology faces challenges in developing durable, highly transparent electrodes while maintaining low interface impedance and prioritizing scalable processing and fabrication methods. To address these limitations, we introduce artifact-resistant transparent MXene microelectrode arrays optimized for high spatiotemporal resolution recording of neural activity. With 60% transmittance at 550 nm, these arrays enable simultaneous imaging and electrophysiology for multimodal neural mapping. Electrochemical characterization shows low impedance of 563 ± 99 kΩ at 1 kHz and a charge storage capacity of 58 mC cm⁻² without chemical doping. In vivo experiments in rodent models demonstrate the transparent arrays' functionality and performance. In a rodent model of chemically-induced epileptiform activity, we tracked ictal wavefronts via calcium imaging while simultaneously recording seizure onset. In the rat barrel cortex, we recorded multi-unit activity across cortical depths, showing the feasibility of recording high-frequency electrophysiological activity. The transparency and optical absorption properties of Ti₃C₂Tx MXene microelectrodes enable high-quality recordings and simultaneous light-based stimulation and imaging without contamination from light-induced artifacts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.