ArticleCurrent protocols2025
Analyzing Large Connectome Graphs With BossDB Network Tools.
Article in Current protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Physical contact reveals a hidden layer of cortical architecture.bioRxiv : the preprint server for biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Modern connectomics enables large-scale, comparative network neuroscience across individuals, species, development, and evolution. The field now regularly produces extensive maps of neural connectivity exceeding hundreds of millions of synapses in continuous volumes. When connectomes are deposited in central archives such as BossDB with standardized metadata, researchers can pose previously intractable questions about neuronal networks. Here, we present step-by-step protocols for connectome dataset discovery and access, scalable graph construction and analysis, and reproducible comparative connectomics using BossDB, Motif Studio, DotMotif, Neuroglancer, neuPrint, and Python-based workflows. These protocols target bench neuroscientists and computational biologists and emphasize replicability, cloud-friendly options, and publication-quality visualization. © 2025 Wiley Periodicals LLC. Basic Protocol 1: Discovering connectome datasets and computing summary statistics with BossDB and Motif Studio Basic Protocol 2: Writing queries with DotMotif Basic Protocol 3: Querying known network motifs locally with DotMotif Support Protocol 1: Provisioning ad hoc graph databases for large-scale graph analysis Support Protocol 2: Querying structures and systems in the cloud with neuPrint Basic Protocol 4: Viewing anatomical motif features with BossDB and Neuroglancer.
Indexed as
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What OpenQuestion holds
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.