ArticleFASEB bioAdvances2024
Accelerating the continuous community sharing of digital neuromorphology data.
Article in FASEB bioAdvances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Pyramidal cell types and circuit organization of the mouse insular cortex reveal functional specializations.Nature neuroscience · 2026Article
- Siibra: a software tool suite for realizing a Multilevel Human Brain Atlas from complex data resources.Nature methods · 2026Article
- MASCAF: A Cable Model Fitting Pipeline for Topologically Complex Surface Meshes.bioRxiv : the preprint server for biology · 2026Article
- Automated Proofreading of Digitally Reconstructed Neural Morphology Enhances Accuracy, Scalability, and Standardization.bioRxiv : the preprint server for biology · 2026Article
- Computational modelling of the suppression of optic nerve fibre.Medical & biological engineering & computing · 2026Article
- Decoding gray matter, large-scale analysis of brain cell morphometry to inform microstructural modeling of diffusion MR signals.Communications biology · 2026Article
- The neuroscience education readiness checklist for digital tools and methods.Frontiers in computational neuroscience · 2026Article
- Hippocampome.org, a resource for subicular neuron types and beyond.bioRxiv : the preprint server for biology · 2025Article
- VENturing into machine learning for the morphological analysis of von Economo neurons.Scientific reports · 2025Article
- Dendritome mapping reveals the spatial organization of striatal neuron morphology.Nature neuroscience · 2025Article
- Spatiotemporal Dynamics of Lateral NaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Traditions of Excellence: neuroanatomy at the forefront of the new era.Anatomical science international · 2025Review
- Spatio-temporal dynamics of lateral NabioRxiv : the preprint server for biology · 2025Article
- Wrap it up: myelination of transplanted neurons for repair.Frontiers in cellular neuroscience · 2025Review
- Accelerating the continuous community sharing of digital neuromorphology data.FASEB bioAdvances · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The tree-like morphology of neurons and glia is a key cellular determinant of circuit connectivity and metabolic function in the nervous system of essentially all animals. To elucidate the contribution of specific cell types to both physiological and pathological brain states, it is important to access detailed neuroanatomy data for quantitative analysis and computational modeling. NeuroMorpho.Org is the largest online collection of freely available digital neural reconstructions and related metadata and is continuously updated with new uploads. Earlier in the project, we released multiple datasets together yearly, but this process caused an average delay of several months in making the data public. Moreover, in the past 5 years, >80% of invited authors agreed to share their data with the community via NeuroMorpho.Org, up from <20% in the first 5 years of the project. In the same period, the average number of reconstructions per publication increased 600%, creating the need for automatic processing to release more reconstructions in less time. The progressive automation of our pipeline enabled the transition to agile releases of individual datasets as soon as they are ready. The overall time from data identification to public sharing decreased by 63.7%; 78% of the datasets are now released in less than 3 months with an average workflow duration below 40 days. Furthermore, the mean processing time per reconstruction dropped from 3 h to 2 min. With these continuous improvements, NeuroMorpho.Org strives to forge a positive culture of open data. Most importantly, the new, original research enabled through reuse of datasets across the world has a multiplicative effect on science discovery, benefiting both authors and users.
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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.