ArticleScientific reports2021
DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries.
Article in Scientific reports, 2021. 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.
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Who cites it
15 citing papers in PubMed.
- Physical contact reveals a hidden layer of cortical architecture.bioRxiv : the preprint server for biology · 2026Article
- Powers of magnetic graph matrix: Fourier spectrum, walk compression, and applications.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Convergence-divergence circuits for multimodal integration of innate and learned opponent valences.Frontiers in systems neuroscience · 2026Article
- Graph embeddings for identifying symmetries in Connectomes.bioRxiv : the preprint server for biology · 2025Article
- Analyzing Large Connectome Graphs With BossDB Network Tools.Current protocols · 2025Article
- Comparative Connectomics Highlights Conserved Architectural Synaptic Motifs in thebioRxiv : the preprint server for biology · 2025Article
- Hebb's Vision: The Structural Underpinnings of Hebbian Assemblies.bioRxiv : the preprint server for biology · 2025Article
- MCoGCN-motif high-order feature-guided embedding learning framework for social link prediction.Scientific reports · 2024Article
- Moral considerability of brain organoids from the perspective of computational architecture.Oxford open neuroscience · 2024Article
- Vimo - Visual Analysis of Neuronal Connectivity Motifs.IEEE transactions on visualization and computer graphics · 2023Article
- An evaluation tool for backbone extraction techniques in weighted complex networks.Scientific reports · 2023Article
- Edge-colored directed subgraph enumeration on the connectome.Scientific reports · 2022Article
- Article
- Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability.Frontiers in neuroinformatics · 2022Article
- CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Recent advances in neuroscience have enabled the exploration of brain structure at the level of individual synaptic connections. These connectomics datasets continue to grow in size and complexity; methods to search for and identify interesting graph patterns offer a promising approach to quickly reduce data dimensionality and enable discovery. These graphs are often too large to be analyzed manually, presenting significant barriers to searching for structure and testing hypotheses. We combine graph database and analysis libraries with an easy-to-use neuroscience grammar suitable for rapidly constructing queries and searching for subgraphs and patterns of interest. Our approach abstracts many of the computer science and graph theory challenges associated with nanoscale brain network analysis and allows scientists to quickly conduct research at scale. We demonstrate the utility of these tools by searching for motifs on simulated data and real public connectomics datasets, and we share simple and complex structures relevant to the neuroscience community. We contextualize our findings and provide case studies and software to motivate future neuroscience exploration.
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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.