ArticleCommunications biology2021
Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- 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
- Next-Generation Strategies for Neural Repair and Regeneration: Neural Organoid Transplantation in the CNS.Cell proliferation · 2026Review
- Dynamic neuronal ensembles encode burst-suppression revealed by cortex-wide optical-electrical interfaces.Nature communications · 2026Article
- 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
- Integrating living biomaterials into neuroelectronic systems.Biomedical engineering letters · 2026Review
- Multi-scale imaging and recording of in-vivo neural activity.BMB reports · 2026Review
- The protocol for mesoscopic wide-field optical imaging in mice: from zero to hero.Biology methods & protocols · 2026Review
- Flexible 3D Kirigami Probes for In Vitro and In Vivo Neural Applications.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Bio-inspired electronics: Soft, biohybrid, and "living" neural interfaces.Nature communications · 2025Review
- Transparent MXene Microelectrode Arrays for Multimodal Mapping of Neural Dynamics.Advanced healthcare materials · 2025Article
- MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings.Cell reports methods · 2024Article
- MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures.bioRxiv : the preprint server for biology · 2024Article
- High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings.Nature nanotechnology · 2024Article
- Understanding the nervous system: lessons from Frontiers in Neurophotonics.Neurophotonics · 2024Review
- Epilepsy insights revealed by intravital functional optical imaging.Frontiers in neurology · 2024Review
- Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time-Frequency EEG Images.Sensors (Basel, Switzerland) · 2023Article
- Photoacoustic Chemical Imaging Sodium Nano-Sensor Utilizing a Solvatochromic Dye Transducer for In Vivo Application.Biosensors · 2023Article
- Stability of TiACS nano · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Neurological disorders such as epilepsy arise from disrupted brain networks. Our capacity to treat these disorders is limited by our inability to map these networks at sufficient temporal and spatial scales to target interventions. Current best techniques either sample broad areas at low temporal resolution (e.g. calcium imaging) or record from discrete regions at high temporal resolution (e.g. electrophysiology). This limitation hampers our ability to understand and intervene in aberrations of network dynamics. Here we present a technique to map the onset and spatiotemporal spread of acute epileptic seizures in vivo by simultaneously recording high bandwidth microelectrocorticography and calcium fluorescence using transparent graphene microelectrode arrays. We integrate dynamic data features from both modalities using non-negative matrix factorization to identify sequential spatiotemporal patterns of seizure onset and evolution, revealing how the temporal progression of ictal electrophysiology is linked to the spatial evolution of the recruited seizure core. This integrated analysis of multimodal data reveals otherwise hidden state transitions in the spatial and temporal progression of acute seizures. The techniques demonstrated here may enable future targeted therapeutic interventions and novel spatially embedded models of local circuit dynamics during seizure onset and evolution.
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Registered trials
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