ArticleJournal of neural engineering2018
Quantitative simulation of extracellular single unit recording from the surface of cortex.
Article in Journal of neural engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
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- A method for efficient, rapid, and minimally invasive implantation of individual non-functional motes with penetrating subcellular-diameter carbon fiber electrodes into rat cortex.Frontiers in neuroscience · 2026Article
- Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings.Neuron · 2025Article
- Touch-evoked traveling waves establish a translaminar spacetime code.Science advances · 2025Article
- Comparison of Subdural and Intracortical Recordings of Somatosensory Evoked Responses.Sensors (Basel, Switzerland) · 2024Article
- Ideal current dipoles are appropriate source representations for simulating neurons for intracranial recordings.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Columnar Localization and Laminar Origin of Cortical Surface Electrical Potentials.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array.Brain communications · 2022Article
- Advances in Carbon-Based Microfiber Electrodes for Neural Interfacing.Frontiers in neuroscience · 2021Review
- Evaluation of a conducting elastomeric composite material for intramuscular electrode application.Acta biomaterialia · 2020Article
- Impact of Brain Surface Boundary Conditions on Electrophysiology and Implications for Electrocorticography.Frontiers in neuroscience · 2020Article
- Stimulus Driven Single Unit Activity From Micro-Electrocorticography.Frontiers in neuroscience · 2020Article
- High-Density Electrical Recording and Impedance Imaging With a Multi-Modal CMOS Multi-Electrode Array Chip.Frontiers in neuroscience · 2019Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveNeural recording is important for a wide variety of clinical applications. Until recently, recording from the surface of the brain, even when using micro-electrocorticography (μECoG) arrays, was not thought to enable recording from individual neurons. Recent results suggest that when the surface electrode contact size is sufficiently small, it may be possible to record single neurons from the brain's surface. In this study, we use computational techniques to investigate the ability of surface electrodes to record the activity of single neurons. APPROACH: The computational model included the rat head, μECoG electrode, two existing multi-compartmental neuron models, and a novel multi-compartmental neuron model derived from patch clamp experiments in layer 1 of the cortex. MAIN
resultsUsing these models, we reproduced single neuron recordings from μECoG arrays, and elucidated their possible source. The model resembles the experimental data when spikes originate from layer 1 neurons that are less than 60 μm from the cortical surface. We further used the model to explore the design space for surface electrodes. Although this model does not include biological or thermal noise, the results indicate the electrode contact area should be 100 μm SIGNIFICANCE: Overall, the model suggests single-unit surface recording is limited to neurons in layer 1 and further improvement in electrode design is needed.
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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.