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Reproducibility of graph measures derived from resting‐state MEG functional connectivity metrics in sensor and source spaces

Human Brain Mapping(2022)10.1002/hbm.25726Source: DataRank Database

Reproducibility of graph measures derived from resting‐state MEG functional connectivity metrics in sensor and source spaces is a research paper published in Human Brain Mapping (2022). On theSindex it has a DataRank of 0. It has been cited 22 times.

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Enrichment:Funding (2 grants)OA: goldTopics (25)IDs (PubMed, PMC)

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Authors (5)

Amy L. de Jongh Curry ORCID,Dave Clarke ORCID,Elizabeth C. Tyler‐Kabara ORCID,Abbas Babajani‐Feremi ORCID,Haatef Pourmotabbed ORCID

Live enrichment

PubMed:35019189 PMC:PMC8837594

NIMH NIH HHS

Grant: U54 MH091657

National Institutes of Health

Grant: 3U54MH091657-03S1

Mapping the Human Connectome: Structure, Function, and Heritability

goldLicense: cc-by-nc-nd

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25726

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25726

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/hbm.25726

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8837594

Europe_PMChttps://europepmc.org/articles/PMC8837594

Fields of Study

0301 basic medicine03 medical and health sciences0302 clinical medicine

MeSH Terms

Nerve NetHumansMagnetoencephalographyReproducibility of ResultsModels, TheoreticalSignal Processing, Computer-AssistedConnectome

Keywords

Graph theoryFunctional ConnectivityResting-stateBrain NetworksTest-retest ReliabilityMagnetoencephalography (Meg)Orthogonal Minimum Spanning Tree (Omst) ThresholdingConnectomeHumansMagnetoencephalographyReproducibility of ResultsSignal Processing, Computer-AssistedModels, TheoreticalNerve NetResearch Articles