ArticleJournal of neuroscience methods2017
Quantitative models of feline lumbosacral dorsal root ganglia neuronal cell density.
Article in Journal of neuroscience methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Article
- SpIC3D imaging for spinal in situ contrast 3D visualization.Cell reports methods · 2025Article
- The effects of neuron morphology and spatial distribution on the selectivity of dorsal root ganglion stimulation.Journal of neural engineering · 2024Article
- Closed-loop sacral neuromodulation for bladder function using dorsal root ganglia sensory feedback in an anesthetized feline model.Medical & biological engineering & computing · 2022Article
- High-density neural recordings from feline sacral dorsal root ganglia with thin-film array.Journal of neural engineering · 2021Article
- Sharpened and Mechanically Durable Carbon Fiber Electrode Arrays for Neural Recording.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021Article
- Cytoarchitectural analysis of the neuron-to-glia association in the dorsal root ganglia of normal and diabetic mice.Journal of anatomy · 2020Article
- Spatial models of cell distribution in human lumbar dorsal root ganglia.The Journal of comparative neurology · 2020Article
- Novel diamond shuttle to deliver flexible neural probe with reduced tissue compression.Microsystems & nanoengineering · 2020Article
- Selectivity of afferent microstimulation at the DRG using epineural and penetrating electrode arrays.Journal of neural engineering · 2019Article
- Overcoming randomness does not rule out the importance of inherent randomness for functionality.Journal of biosciences · 2019Review
- Real-Time Bladder Pressure Estimation for Closed-Loop Control in a Detrusor Overactivity Model.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019Article
- Dorsal root ganglion stimulation for chronic pain modulates Aβ-fiber activity but not C-fiber activity: A computational modeling study.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019Article
- Recording single- and multi-unit neuronal action potentials from the surface of the dorsal root ganglion.Scientific reports · 2019Article
- Flexible microelectrode array for interfacing with the surface of neural ganglia.Journal of neural engineering · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDorsal root ganglia (DRG) are spinal root components that contain the cell bodies of converging primary sensory neurons. DRG are becoming a therapeutic target for electrical neural interfaces. Our purpose was to establish methods for quantifying the non-random nature and distribution of neuronal cell bodies within DRG. NEW
methodWe identified neuronal cell body locations in 26 feline lumbosacral DRG cross-section histological images and used computational tools to quantify spatial trends. We first analyzed spatial randomness using the nearest-neighbor distance method. Next we overlaid a 6×6 grid, modeling neuronal cellular density in each grid square and comparing regions statistically. Finally we transformed DRG onto a polar map and calculated neuronal cellular density in annular sectors. We used a recursive partition model to determine regions of high and low density, and validated the model statistically.
resultsWe found that the arrangement of neuronal cell bodies at the widest point of DRG is distinctly non-random with concentration in particular regions. The grid model suggested a radial trend in density, with increasing density toward the outside of the DRG. The polar transformation model showed that the highest neuronal cellular density is in the outer 23.9% radially and the dorsal ±61.4° angularly. COMPARISON WITH EXISTING
methodsTo our knowledge, DRG neuronal cell distribution has not been previously quantified.
conclusionsThese results confirm and expand quantitatively on the existing understanding of DRG anatomy. Our methods can be useful for analyzing the distribution of cellular components of other neural structures or expanding to three-dimensional models.
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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.