ArticleNature materials2019
High-resolution mapping of infraslow cortical brain activity enabled by graphene microtransistors.
Article in Nature materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
- An artefact-resilient wide bandwidth bidirectional graphene neural interface.Nature communications · 2026Article
- Mitigating Interfacial Contamination for Scalable Integration of Graphene in Neuroelectronic Devices.Accounts of materials research · 2026Article
- Cortical spreading depolarizations in stroke: Mechanisms, neuroprotective interventions, and monitoring techniques.GeroScience · 2026Review
- Two-dimensional semiconductor-based active array for high-fidelity spatiotemporal monitoring of neural activities.Nature materials · 2026Article
- Data driven multiscale modelling of paroxysmal brain transitions using DC-coupled electrophysiological data.PloS one · 2026Article
- State-of-the-art preclinical techniques to study the impact of spreading depolarizations in awake rodents.The journal of headache and pain · 2025Review
- An Implantable, Ultralow Distortion Bioelectronic Interface Integrating Light-Emitting Diodes and Graphene Field-Effect Transistors.ACS nano · 2025Article
- Recent Advances in Flexible Sensors for Neural Interfaces: Multimodal Sensing, Signal Integration, and Closed-Loop Feedback.Biosensors · 2025Review
- A Wireless Cortical Surface Implant for Diagnosing and Alleviating Parkinson's Disease Symptoms in Freely Moving Animals.Advanced healthcare materials · 2025Article
- Bioaugmented design and functional evaluation of low damage implantable array electrodes.Bioactive materials · 2025Article
- The Role and Future of Functional Graphenic Materials in Biomedical and Human Health Applications.Biomacromolecules · 2025Review
- Review
- Astrocyte Kir4.1 expression level territorially controls excitatory transmission in the brain.Cell reports · 2025Article
- Innovating beyond electrophysiology through multimodal neural interfaces.Nature reviews electrical engineering · 2025Article
- Materials and devices for high-density, high-throughput micro-electrocorticography arrays.Fundamental research · 2025Review
- Ultrasensitive Detection of Chemokines in Clinical Samples with Graphene-Based Field-Effect Transistors.Advanced materials (Deerfield Beach, Fla.) · 2024Article
- Flexible Graphene Field-Effect Transistors and Their Application in Flexible Biomedical Sensing.Nano-micro letters · 2024Review
- Interface-Mediated Neurogenic Signaling: The Impact of Surface Geometry and Chemistry on Neural Cell Behavior for Regenerative and Brain-Machine Interfacing Applications.Advanced materials (Deerfield Beach, Fla.) · 2024Review
- Nanoporous graphene-based thin-film microelectrodes for in vivo high-resolution neural recording and stimulation.Nature nanotechnology · 2024Article
- High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings.Nature nanotechnology · 2024Article
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recording infraslow brain signals (<0.1 Hz) with microelectrodes is severely hampered by current microelectrode materials, primarily due to limitations resulting from voltage drift and high electrode impedance. Hence, most recording systems include high-pass filters that solve saturation issues but come hand in hand with loss of physiological and pathological information. In this work, we use flexible epicortical and intracortical arrays of graphene solution-gated field-effect transistors (gSGFETs) to map cortical spreading depression in rats and demonstrate that gSGFETs are able to record, with high fidelity, infraslow signals together with signals in the typical local field potential bandwidth. The wide recording bandwidth results from the direct field-effect coupling of the active transistor, in contrast to standard passive electrodes, as well as from the electrochemical inertness of graphene. Taking advantage of such functionality, we envision broad applications of gSGFET technology for monitoring infraslow brain activity both in research and in the clinic.
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