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Multiscale comparative connectomics

Imaging Neuroscience(2025)10.1162/imag.a.2Source: DataRank Database

Multiscale comparative connectomics is a research paper published in Imaging Neuroscience (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: goldTopics (12)IDs (PubMed, PMC)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Jaewon Chung ORCID,Eric Bridgeford ORCID,Benjamin D. Pedigo ORCID,Jesús Arroyo ORCID,Lucy Upchurch

Live enrichment

PubMed:40800798 PMC:PMC12319836

NIH

Grant: 1RF1MH121539-01

Accessible technologies for high-throughput, whole-brain reconstructions of molecularly characterized mammalian neurons

NIH

Grant: 1RF1MH123233-01

Graspy: A python package for rigorous statistical analysis of populations of attributed connectomes

NSF

Grant: 17-537

NSF

Grant: R01AG066184/AG/NIA

NIH

Grant: HHS/United States

National Institutes of Health

Grant: 5R01AG066184-02

Brain networks in mouse models of aging

goldLicense: cc-by

publisherhttps://direct.mit.edu/imag/article-pdf/doi/10.1162/IMAG.a.2/2521297/imag.a.2.pdf

repositoryhttps://arxiv.org/pdf/2011.14990

repositoryhttps://arxiv.org/pdf/2011.14990.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12319836

repositoryhttps://hdl.handle.net/1805/50854

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

Network NeuroscienceRandom Graph ModelsStatistical ConnectomicsMethodology (stat.ME)FOS: Computer and information sciencesQuantitative Biology - Neurons and CognitionFOS: Biological sciencesNeurons and Cognition (q-bio.NC)Statistics - MethodologyResearch Article