ArticleeNeuro2024
Machine Learning Elucidates Electrophysiological Properties Predictive of Multi- and Single-Firing Human and Mouse Dorsal Root Ganglia Neurons.
Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
9 citing papers in PubMed.
- Comparative Electrophysiological Analysis of Trigeminal and Dorsal Root Ganglion Neurons in Mice.eNeuro · 2026Article
- HIPPIE: a generative model for electrophysiological analysis across species, technologies, and modalities.Nature communications · 2026Article
- Shaping the Action Potential in Dorsal Root and Trigeminal Ganglia Neurons: Relevance to Pain Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- Processing and sectioning of organ donor spinal cord tissue for electrophysiology on acute human spinal cord slices.Brain communications · 2026Article
- Modulation of human dorsal root ganglion neuron firing by the Nav1.8 inhibitor suzetrigine.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Humanized anti-P2X4 scFv reduces ATP-induced P2X4 currents and modulates excitability in human DRG neurons.Molecular painArticle
- Article
- Physiological actions of a humanized P2X4 scFv on peripheral and central neurons in male mice with neuropathic pain.Neurobiology of pain (Cambridge, Mass.)Article
- Gabapentin's effect on human dorsal root ganglia: Donor-specific electrophysiological and transcriptomic profiles.Molecular painArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Human and mouse dorsal root ganglia (hDRG and mDRG) neurons are important tools in understanding the molecular and electrophysiological mechanisms that underlie nociception and drive pain behaviors. One of the simplest differences in firing phenotypes is that neurons are single-firing (exhibit only one action potential) or multi-firing (exhibit 2 or more action potentials). To determine if single- and multi-firing hDRG neurons exhibit differences in intrinsic properties, firing phenotypes, and AP waveform properties, and if these properties could be used to predict multi-firing, we measured 22 electrophysiological properties by whole-cell patch-clamp electrophysiology of 94 hDRG neurons from six male and four female donors. We then analyzed the data using several machine learning models to determine if these properties could be used to predict multi-firing. We used 1,000 iterations of Monte Carlo cross-validation to split the data into different train and test sets and tested the logistic regression,
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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 Socratic graph.