ArticleFrontiers in neuroscience2018
Quantification of Signal-to-Noise Ratio in Cerebral Cortex Recordings Using Flexible MEAs With Co-localized Platinum Black, Carbon Nanotubes, and Gold Electrodes.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Stretchable Microelectrode Arrays with Microneedles for Reliable Electrophysiological Recording of Human Heart and Brain Organoids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Optimizing electrode placement and information capacity for local field potentials in cortex.NeuroImage · 2026Article
- Customizable Fabrication of 2D and Conformal Multielectrode Arrays for 3D Printed Organotypic Bioelectronic Interfaces.Advanced healthcare materials · 2026Article
- Flexible graphene-based neurotechnology for high-precision deep brain mapping and neuromodulation in Parkinsonian rats.Nature communications · 2025Article
- Endovascular neural stimulation with platinum and platinum black modified electrodes.Scientific reports · 2025Article
- Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.PLoS computational biology · 2024Article
- Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.bioRxiv : the preprint server for biology · 2024Article
- Power-integrated, wireless neural recording systems on the cranium using a direct printing method for deep-brain analysis.Science advances · 2024Article
- Nanoporous graphene-based thin-film microelectrodes for in vivo high-resolution neural recording and stimulation.Nature nanotechnology · 2024Article
- Magnetically Compatible Brain Electrode Arrays Based on Single-Walled Carbon Nanotubes for Long-Term Implantation.Nanomaterials (Basel, Switzerland) · 2024Article
- Human acute microelectrode array recordings with broad cortical access, single-unit resolution, and parallel behavioral monitoring.Cell reports · 2023Article
- Resource Allocation in the Noise-Free Striatal Beat Frequency Model of Interval Timing.Timing & time perception (Leiden, Netherlands) · 2023Article
- Electrochemical Testing of a New Polyimide Thin Film Electrode for Stimulation, Recording, and Monitoring of Brain Activity.Micromachines · 2022Article
- Article
- Real-time noise cancellation with deep learning.PloS one · 2022Article
- Stimulation and Recording of the Hippocampus Using the Same Pt-Ir Coated Microelectrodes.Frontiers in neuroscience · 2021Article
- Restoring Sensorimotor Function Through Neuromodulation After Spinal Cord Injury: Progress and Remaining Challenges.Frontiers in neuroscience · 2021Review
- Hydrogel-Based Organic Subdural Electrode with High Conformability to Brain Surface.Scientific reports · 2019Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developing new standardized tools to characterize brain recording devices is critical to evaluate neural probes and for translation to clinical use. The signal-to-noise ratio (SNR) measurement is the gold standard for quantifying the performance of brain recording devices. Given the drawbacks with the SNR measure, our first objective was to devise a new method to calculate the SNR of neural signals to distinguish signal from noise. Our second objective was to apply this new SNR method to evaluate electrodes of three different materials (platinum black, Pt; carbon nanotubes, CNTs; and gold, Au) co-localized in tritrodes to record from the same cortical area using specifically designed multielectrode arrays. Hence, we devised an approach to calculate SNR at different frequencies based on the features of cortical slow oscillations (SO). Since SO consist in the alternation of silent periods (Down states) and active periods (Up states) of neuronal activity, we used these as noise and signal, respectively. The spectral SNR was computed as the power spectral density (PSD) of Up states (signal) divided by the PSD of Down states (noise). We found that Pt and CNTs electrodes have better recording performance than Au electrodes for the explored frequency range (5-1500 Hz). Together with two proposed SNR estimators for the lower and upper frequency limits, these results substantiate our SNR calculation at different frequency bands. Our results provide a new validated SNR measure that provides rich information of the performance of recording devices at different brain activity frequency bands (<1500 Hz).
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