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Connectomics modeling of regional networks of white-matter fractional anisotropy to predict the severity of young adult drinking

Quantitative Imaging in Medicine and Surgery(2025)10.21037/qims-24-2131Source: DataRank Database

Connectomics modeling of regional networks of white-matter fractional anisotropy to predict the severity of young adult drinking is a research paper published in Quantitative Imaging in Medicine and Surgery (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

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Enrichment:Funding (2 grants)OA: goldTopics (7)IDs (PubMed, PMC)Annotations (1)

FAIR Checklist

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Guangfei Li ORCID,Lin Yang ORCID,Yan Yan ORCID,Ning Zhang ORCID,Mengdi Gao

Live enrichment

PubMed:40160628 PMC:PMC11948382

National Institutes of Health

Grant: 5R01DA051922-04

Multi-level statistical classification of substance use disorder

National Institutes of Health

Grant: 3U54MH091657-03S1

Mapping the Human Connectome: Structure, Function, and Heritability

goldLicense: cc-by-nc-nd

publisherhttps://doi.org/10.21037/qims-24-2131

publisherhttps://qims.amegroups.com/article/download/134883/pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11948382

repositoryhttps://riunet.upv.es/handle/10251/235350

Europe_PMChttps://europepmc.org/articles/PMC11948382

Fields of Study

03 medical and health sciences0305 other medical science

Keywords

Alcohol MisuseConnectomeDiffusion Tensor Imaging (Dti)Alcohol Use Disorder (Aud)Original Article